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0000000000000000000000000000000000000000..d840679fe124a94c6ddbf80c4ebb06ce7dc793b3 --- /dev/null +++ b/adetailer/CockAndBallYolo8x.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3184e40847c4eae53e9bb17d8adc07e81e13bca5c0c4c9c6f258a872db41251c +size 143940851 diff --git a/adetailer/ETOdetailer/ETOadetailer.txt b/adetailer/ETOdetailer/ETOadetailer.txt new file mode 100644 index 0000000000000000000000000000000000000000..22a6655e1c75cb331ca8ce90549b21ebad48030a --- /dev/null +++ b/adetailer/ETOdetailer/ETOadetailer.txt @@ -0,0 +1,12 @@ +FACE: +(masterpiece:1.4), high quality, high definition, sharp focus, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail, (detailed eyes:1.3), animation, illustration, highly detailed, highres, extremely detailed, , , , , ETO_OCC, (thick eyebrows), (pale skin), curvy, (plump:1.2), (apple cheeks), (round face), (round nose), ETO-OC, (round chin), black hair, , + +NEGATIVE: +(worst quality:1.6), (low quality:1.4), (low detail face:1.6), (bad eyes:1.2), (pointy ears:1.3), EasyNegativeV2, , wrong, (fringe:1.2), (bangs:1.2), (facial tattoo), (facial mark), (hair between eyes:1.6), an12, (small nose), (big mouth:1.6) + +-------------------------------------------------------------------------------------------------------------------------- +EYES: +(brown eyes), (dark green eyes), (olive eyes), (gradient colour eyes:1.5), (multicoloured eyes), hooded eyes, down-turned eyes, , perfecteyes, , detailed eyes, , perfecteyes eyes , tareme + +NEGATIVE: +(purple eyes:1.4), (pink: eyes:1.4), (worst quality:1.6), (low quality:1.4), (low detail eyes:1.6), (bad eyes:1.2), EasyNegativeV2, , wrong, (blue eyes:1.4), an12, \ No newline at end of file diff --git a/adetailer/ETOdetailer/loras.txt b/adetailer/ETOdetailer/loras.txt new file mode 100644 index 0000000000000000000000000000000000000000..10e335b683fcf383932fedf15adc4528037f2565 --- /dev/null +++ b/adetailer/ETOdetailer/loras.txt @@ -0,0 +1,16 @@ +https://civitai.com/models/80690 +https://civitai.com/models/128358 +https://civitai.com/models/207430 +https://civitai.com/models/208714 +https://civitai.com/models/58390 +https://civitai.com/models/198893 +https://civitai.com/models/198876 +https://civitai.com/models/5693 +https://civitai.com/models/90461 +https://civitai.com/models/55743 +https://civitai.com/models/256740 + +neg +https://civitai.com/models/159776 +https://civitai.com/models/100191 +https://civitai.com/models/58726 \ No newline at end of file diff --git a/adetailer/Eyeful_v2-Paired.pt b/adetailer/Eyeful_v2-Paired.pt new file mode 100644 index 0000000000000000000000000000000000000000..b8b4ed315c64c922e2144af1cd92b9383a6b0711 --- /dev/null +++ b/adetailer/Eyeful_v2-Paired.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d574fd6b4f5d5f1310294ae375059369f850e80ea7a628e98e6e2dae2963152 +size 22559956 diff --git a/adetailer/Eyes.pt b/adetailer/Eyes.pt new file mode 100644 index 0000000000000000000000000000000000000000..78089f0f9579ab8792ee56b667d3faf4c42614b4 --- /dev/null +++ b/adetailer/Eyes.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c59bb696818ad5dfe58c54a881ffb6895c260bd42b4c34dfc97dff2203f45621 +size 22528604 diff --git a/adetailer/FacesV1.pt b/adetailer/FacesV1.pt new file mode 100644 index 0000000000000000000000000000000000000000..52e721c6d0da1f7f81dc6a00bf05bd4103a6c853 --- /dev/null +++ b/adetailer/FacesV1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e56c5e144b92e41057beb2311eb6a79690b79d32853043c157effeadbe1b832e +size 52044289 diff --git a/adetailer/HeelsDetect Y8m.pt b/adetailer/HeelsDetect Y8m.pt new file mode 100644 index 0000000000000000000000000000000000000000..98e367dc4304017011c51608deff55165bfb52ff --- /dev/null +++ b/adetailer/HeelsDetect Y8m.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6bf639cced2afcf4c00e18ef1871c88a60536a92f0d9e53eff8dcd298d22c82e +size 52048779 diff --git a/adetailer/LICENSE b/adetailer/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..3877ae0a7ff6f94ac222fd704e112723db776114 --- /dev/null +++ b/adetailer/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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But first, please read +. diff --git a/adetailer/Models/adetailer/pussy_v4_best.pt b/adetailer/Models/adetailer/pussy_v4_best.pt new file mode 100644 index 0000000000000000000000000000000000000000..94d571c67a1a97ae97ba378d0f0bfdb925606305 --- /dev/null +++ b/adetailer/Models/adetailer/pussy_v4_best.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:77e4ea8006f3c894c876692dd6f94819f441b7ba3002016fe11bf7e3ce6f3225 +size 51649050 diff --git a/adetailer/Models/adetailer/pussy_v4_last.pt b/adetailer/Models/adetailer/pussy_v4_last.pt new file mode 100644 index 0000000000000000000000000000000000000000..8d01525153454df242fb1f8806a59673054e7bf8 --- /dev/null +++ b/adetailer/Models/adetailer/pussy_v4_last.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a48135194df8e60833616e06e18e886ab9402f5511fd63c968ffff226b6b3c2 +size 51649050 diff --git a/adetailer/PitCTattoo-bbox.pt b/adetailer/PitCTattoo-bbox.pt new file mode 100644 index 0000000000000000000000000000000000000000..69eaca75379263f73d7acb2761df71477fccc97f --- /dev/null +++ b/adetailer/PitCTattoo-bbox.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d1ce31c56c7d31c04609b21b81e367d2062813658f03cdd91574a2dfad36a7cc +size 22522905 diff --git a/adetailer/PitEyeDetailer-v2-seg.pt b/adetailer/PitEyeDetailer-v2-seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..b69c1120669f898784019ffbe14b7a26857bb452 --- /dev/null +++ b/adetailer/PitEyeDetailer-v2-seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0485d0a88983fd81ec0635a0f70665da226254bac238ba32557daf873ed41675 +size 23853752 diff --git a/adetailer/PitGlassesDetailer-v1-seg.pt b/adetailer/PitGlassesDetailer-v1-seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..a5296d3bd04b68f53a52bad0422522a4ce4cf05b --- /dev/null +++ b/adetailer/PitGlassesDetailer-v1-seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:247354e884a4b4f7ad31806979e1e455df5e94e7165ceb7240f77f3343c7fe3a +size 23852259 diff --git a/adetailer/PitHandDetailer-v1b-seg.pt b/adetailer/PitHandDetailer-v1b-seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..31a56b6d2cb070add72d9241b0bd1c7dadb533b8 --- /dev/null +++ b/adetailer/PitHandDetailer-v1b-seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d8bf517ee9b9aeb043f21a0876d360768e11613e029d6ee76d0fdab7557eded +size 23835427 diff --git a/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_best.pt b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_best.pt new file mode 100644 index 0000000000000000000000000000000000000000..bf983e319802758bad62ccdd60c95c5549a3b2a2 --- /dev/null +++ b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_best.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:053f5aeca3af8d5e052214ed4bffd030610b0056e6dc39ee38484317bea076b5 +size 19206291 diff --git a/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_last.pt b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_last.pt new file mode 100644 index 0000000000000000000000000000000000000000..44d66dbcac3f2737ce8f0c11ccb53e5e69492516 --- /dev/null +++ b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_last.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ddebb8106bee66c3fe131c8996a13843eb4f8020b44e7565690265bcb19ec6c +size 19206291 diff --git a/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_best.pt b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_best.pt new file mode 100644 index 0000000000000000000000000000000000000000..eae1d9ce7722b1a74b98f3db058c1cf039cbf14f --- /dev/null +++ b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_best.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0df0fc250a69d6dce9f197530c86cccb0e5b3d74e05d1a42b92a69614bd109c8 +size 20540445 diff --git a/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_last.pt b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_last.pt new file mode 100644 index 0000000000000000000000000000000000000000..3821ef0ac89c62d537cdc5fdd765915d545d9385 --- /dev/null +++ b/adetailer/Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_last.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97efef9195d584770434bc6330e3a5a355cc37ae3d9d97b5798e542cd40d5f56 +size 20540445 diff --git a/adetailer/README.md b/adetailer/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c1689d49ac9aaba2d30218b8d26f9cd82c4dfd45 --- /dev/null +++ b/adetailer/README.md @@ -0,0 +1,181 @@ +# Yolov8 Training & Inference Scripts +This repository helps you train detection models, as well as use them to generate detection outputs (image and text). + +> [!IMPORTANT] +> Requires **Python 3.11** or newer. + +## Installation Instructions - Windows +1. Download or git clone this repository to any folder +`git clone https://github.com/MNeMoNiCuZ/yolov8-scripts` + +2. Enter the folder +`cd yolov8-scripts` + +3. Git Clone Ultralytics inside this folder +`git clone https://github.com/ultralytics/ultralytics` + +4. Run `setup.bat`. It will ask you to enter an environment name. Press Enter to use the defaults. Only change it if you know what you are doing. +The venv should be created inside the Ultralytics folder. This will also create a few empty folders for you, and an environment activation script (`activate_venv.bat`). It should also activate the environment for you for the next step. + +5. Install torch for your version of CUDA ([Pytorch.org](https://pytorch.org/)): + + `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118`. + +6. Inside the (venv), install requirements using `pip install -r requirements.txt`. + +> [!TIP] +> In the future, you can enter the virtual environment by running `activate_venv.bat`. + +## Folder structure information +- **dataset**: Contains your dataset images and annotation files (captions), in subdirectories. + - **train**: Contains your training data. + - **valid**: Contains your validation data (start with ~10% of your training data moved here). + - **test**: Contains your test data (optional). + - **generate_input**: Place the images to test your detection in here. _Note: These could also be placed inside dataset/test as long as you update the generate.py to that directory._ + - **generate_output**: Generated detections and output annotation files are placed here. + - **models**: Downloaded base models are placed here. Place your models in here when generating. + - **training_output**: This is where trained models (weights), curves, results and tests will end up after training. + +## Scripts +> [!IMPORTANT] +> Remember to enter the environment to run the scripts. + +> [train.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/train.py): +> The training script. Configure the training folder name, epoch count, batch size and starting model. It requires the dataset to be properly setup. + +> [generate.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/generate.py): +> The inference script used to generate detection results. Configure the model name, which classes to detect, class overrides + +> [yoloOutputCopyMatchingImages.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/yoloOutputCopyMatchingImages.py): +> This script is a small tool to help you select and copy images from one folder, based on matching image names of another folder. +> Example: +> - You have a folder with input images (original) to detect something from. +> - You run a detection model, and get another folder with overlays showing the detection. +> - You then run a tool like [img-txt viewer](https://github.com/Nenotriple/img-txt_viewer) to remove text-image pairs of failed detections. +> - Now you have a folder with only successful detections (curated). Now is when this script comes in. +> - You now run the tool and choose those directories, and it will copy any original images that matches the names of the images that are in the curated folder. +> - You can now run the (yoloOutputToYoloAnnotations.py) script to convert the output yolo detection coordinates, to yolo training annotations. + +> [yoloOutputToYoloAnnotations.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/yoloOutputToYoloAnnotations.py): +> This script converts output yolo detection text-files, into yolo training annotation files. It's used together with the (yoloOutputCopyMatchingImages.py) script to generate training data from successful detections. + +> [dataset/CocoGetClasses.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoGetClasses.py): +> Extracts the class names from a downloaded COCO format dataset and outputs them in the Yolo training format. Place the script in the same folder as `_annotations.coco.json` and run the script. _Can be run outside of the venv._ + +> [dataset/cocoToYoloAnnotations.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoToYoloAnnotations.py): +> Converts annotations from the COCO format to the Yolo training format. Place the script in the same folder as `_annotations.coco.json` and run the script. _Can be run outside of the venv._ + + +# Training a custom detection model +This is not meant as a full-fledged guide, but a few guiding steps. For more information, read some [Yolo documentation](https://docs.ultralytics.com/datasets/detect/). + +## 1. Downloading a dataset +- For our example, we will download [this watermark dataset](https://universe.roboflow.com/mfw-feoki/w6_janf) from [Roboflow.com]([https://universe.roboflow.com](https://universe.roboflow.com/mfw-feoki/w6_janf)) by user [MFW](https://universe.roboflow.com/mfw-feoki). +> [!TIP] +> Download the dataset in the Yolov8 format. +![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/c79a6e7c-3f21-421c-8876-03676918afb8) + +- Unpack the file and move the train/test/valid-directories into the /dataset/ folder for your project. + +![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/5c72e5f8-531c-4668-918d-bf9c6f925831) + + +## 2. Dataset preparation +If you downloaded a Yolov8 dataset, everything should be fine already. Images are placed in `/train/images`, and the annotations are placed in `/train/labels`. +> [!TIP] +> You can also have both the images and annotations right inside the root of the `/train` folder without any /images and /labels subfolders. The same goes for the valid and test folders. + +If you downloaded a COCO dataset, you can use the [dataset/CocoGetClasses.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoGetClasses.py) and [cocoToYoloAnnotations.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoToYoloAnnotations.py) scripts to convert the dataset to yolov8. There's also a built-in command that I didn't know about when I wrote the scripts. + +## 3. Data.yaml configuration +The [dataset/data.yaml](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/data.yaml) must be configured for your dataset. + +Edit the file and make sure that the number of classes matches the number of classes of your dataset, as well as the list of class names. + +For our watermarks dataset, it should be: +``` +nc: 1 # Number of classes +names: ['watermark'] # Class names +``` + +> [!TIP] +> Sometimes the classes are listed on the dataset website, like the screenshot below. +> +> ![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/cb85228e-6e17-4be2-aa05-8a89cf352dc5) +> +> If it is not, you can try downloading the COCO.JSON version of the dataset, and run the CocoGetClasses.py script from this repository to extract the values you need for the dataset.yaml. + + +## 4. Configure train.py +Open `train.py` and edit some parameters. +``` +"folder_name" is the output folder name inside the `training_output` directory. +"starting_model" is which model to use for your training. You can copy the standard yolov8 models from the list above. The Nano-model is the smallest, trains faster, but usually performs worse. And Xtra Large is the opposite. +"epoch_count" how many versions do you wish to train. 50 may be a good starting point. For a small model, or a model with a very small dataset, you could set this to 500. The training will automatically stop if no improvement is made in 50 epochs. +``` + +## 5. Run train.py +While inside the environment, run `python train.py` to launch the training. + +Hopefully, you should have something like this now: +![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/5cbc9997-5274-42ca-a193-57cd553e5a91) + +If you need to cancel the training, you can just close the window or press `CTRL + C` to interrupt. + +You can find test results and your models in the `training_output` directory. + +The script will always save your latest model (last.pt) and the currently best performing model (best.pt), in the /training_output/project_name/weights/ directory. + +## 6. Generate / Detect / Test your model +Copy your output model into the `models` directory, you can also rename it to something suitable, like `watermarks_s_yolov8_v1.pt`. +> [!TIP] +> You may want to try both the `last.pt` and `best.pt` separately to see which model perfoms the best for you. + +Open `generate.py` to edit some parameters. +``` +"model_path" is the path to your model. +"selected_classes" is a list of the classes you wish to identify and detect when running the script. +"class_overrides" is a list of overrides. Use this if you wish to substitute one class with another. This could be useful if the model is trained on the classes in the wrong order, or if you just wish to change the name of the label in the overlay images. +"confidence_threshold" is the detection confidence needed to make it consider it a positive detection. +``` + +Now place all images you wish to test your model on in the `/generate_input` folder. + +While inside the environment, run `python generate.py` to launch the generation. + +The output images with annotations overlay, as well as the detections text-files will be found in the `/generate_output` folder. + +![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/6d3a2c3c-5c84-4970-b016-59c6394e219a) + + +# F.A.Q / Known Issues +### No images found in {img_path} +``` +Traceback (most recent call last): + File "[YOUR INSTALL PATH HERE]\ultralytics\ultralytics-venv\Lib\site-packages\ultralytics\data\base.py", line 119, in get_img_files + assert im_files, f"{self.prefix}No images found in {img_path}" +AssertionError: train: No images found in D:\AI\Projects\Yolov8Tutorial\dataset\train +``` +> [!WARNING] +> Ensure that your training data is available in the /dataset/train/ folder. + +### NotImplementedError: Could not run 'torchvision::nms' +``` +NotImplementedError: Could not run 'torchvision::nms' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::nms' is only available for these backends: [CPU, Meta, QuantizedCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMeta, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]. +``` +> [!CAUTION] +> It's likely a pytorch installation issue. +> +> Activate the venv and run this command `pip list`. +> +> Look for the torch, torchaudio and torchvision lines. They should say something like: +> +> - torch 2.2.0+cu118 +> - torchaudio 2.2.0+cu118 +> - torchvision 0.17.0+cu118 +> +> If they don't have +cu118, your cuda installation is not working in the environment. +> +> Make sure you follow the installation steps in the exact order. If they are done in the wrong order, you may not have a working environment. +> +> You can try this command and see if it helps: `pip install torchvision --upgrade --force-reinstall`. diff --git a/adetailer/__MACOSX/._cutiemark.pt b/adetailer/__MACOSX/._cutiemark.pt new file mode 100644 index 0000000000000000000000000000000000000000..5dea081cb2d09a63c122e49358d850b85a3f7360 --- /dev/null +++ b/adetailer/__MACOSX/._cutiemark.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b991b0bceef67ab33397fa5c691ad6c244bd3b7a8ae12301b6b955e7a05f4e40 +size 497 diff --git a/adetailer/adetailerAfterDetailer_v10.html b/adetailer/adetailerAfterDetailer_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..55c9e7cc50456078f4d76ec954b4c633a56b5e69 --- /dev/null +++ b/adetailer/adetailerAfterDetailer_v10.html @@ -0,0 +1,195 @@ + + + + + + +
+

ADetailer (After Detailer) Lips Model

+

Uploaded by mooseh111

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2023-09-08
+
Availability
+
Public
+
CivitAI Tags
+
+
+ animecharacterfemalewomanmalemanlipstickmouthlipsadetailer +
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+
Download Link
+
https://civitai.com/api/download/models/157700
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Someone had mentioned creating a model for adetailer for lips so I thought I'd give it a go having never trained a YOLO model before.

Trained on 577 images both anime and real life.

Instructions:

Download Zip

Extract Zip to your models\adetailer folder

Restart your server

This can be used to modify the lips, apply lipstick or bimbofy the lips using the various loras and textual inversions already published.

Remember if you are looking to grow lips, you'll want to modify the mask preprocessing and increase the dilation.

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Prompt
a woman, headshot, portrait, bimbo, blonde hair, pigtails, front view, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR), <lora:more_details:0.5>
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1495632732
Size
512x512
Model
NSFW-Style_lazymixRealAmateur_v30b
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
5.55
Parser
Full parser
Hashes
{'vae': 'c6a580b13a', 'model': '71e14760e2', 'embed:BadDream': '758aac4435', 'lora:more_details': 'd9cf2f88de'}
Backend
Original
Version
e0d8a92
Biglips
0.8>, bimbo lips, pink lipgloss
Clipskip
2
Resources
[{'name': 'more_details', 'type': 'lora', 'weight': 0.5}, {'hash': '71e14760e2', 'name': 'NSFW-Style_lazymixRealAmateur_v30b', 'type': 'model'}]
Model hash
71e14760e2
Operations
txt2img
(lips parted
1.3), pout"
More_details
3b8aa1d351ef"
Lip_slider_v21
3.00>, bimbo lips, pink lipstick, pink lipgloss"
Adetailer version
23.9.1
Adetailer model 2nd
lips.pt
Adetailer model 3rd
lips.pt
Adetailer model 4th
eyes.pt
Token merging ratio
0.5
Eyelashes_slider_v3
5.00>, pink makeup"
"eyelashes_slider_v3
0004fcdaeb24
Adetailer mask blur 2nd
4
Adetailer mask blur 3rd
4
Adetailer mask blur 4th
4
Adetailer confidence 2nd
0.3
Adetailer confidence 3rd
0.3
Adetailer confidence 4th
0.3
Adetailer dilate/erode 2nd
20
Adetailer dilate/erode 3rd
36
Adetailer dilate/erode 4th
4
Adetailer inpaint padding 2nd
32
Adetailer inpaint padding 3rd
32
Adetailer inpaint padding 4th
32
Adetailer denoising strength 2nd
0.6
Adetailer denoising strength 3rd
0.4
Adetailer denoising strength 4th
0.4
Adetailer inpaint only masked 2nd
True
Adetailer inpaint only masked 3rd
True
Adetailer inpaint only masked 4th
True
+
+
+ + + + +
+ +
+
Prompt
a woman, headshot, portrait, bimbo, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR), massive mammeries <lora:MyBreastHelper15RS:0.6>, <lora:more_details:0.5>
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
267935406
Size
512x512
Model
Style-SFW_revAnimated_v122
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
7.28
Parser
Full parser
Hashes
{'vae': 'c6a580b13a', 'model': '4199bcdd14', 'embed:BadDream': '758aac4435', 'lora:more_details': 'd9cf2f88de', 'lora:MyBreastHelper15RS': '523e0aa11b'}
(omouth
1.2), mouth o"
Backend
Original
Version
e0d8a92
Biglips
0.8>, bimbo lips, pink lipgloss
"biglips
526af525a44c
Clipskip
2
Resources
[{'name': 'MyBreastHelper15RS', 'type': 'lora', 'weight': 0.6}, {'name': 'more_details', 'type': 'lora', 'weight': 0.5}, {'hash': '4199bcdd14', 'name': 'Style-SFW_revAnimated_v122', 'type': 'model'}]
Model hash
4199bcdd14
Operations
txt2img
(lips parted
1.3)
More_details
3b8aa1d351ef"
Lip_slider_v21
3.00>, bimbo lips, pink lipstick, pink lipgloss"
Adetailer version
23.9.1
Mybreasthelper15rs
4e55c78bc323
Adetailer model 2nd
lips.pt
Adetailer model 3rd
lips.pt
Token merging ratio
0.5
Adetailer mask blur 2nd
4
Adetailer mask blur 3rd
4
Adetailer confidence 2nd
0.3
Adetailer confidence 3rd
0.3
Adetailer dilate/erode 2nd
20
Adetailer dilate/erode 3rd
36
Adetailer inpaint padding 2nd
32
Adetailer inpaint padding 3rd
32
Adetailer denoising strength 2nd
0.6
Adetailer denoising strength 3rd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer inpaint only masked 3rd
True
+
+
+ + + + +
+ +
+
Prompt
a woman, headshot, portrait, latex catsuit, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR),
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
3064179663
Size
576x768
Model
control_openpose-fp16 [9ca67cc5]
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
6.31
Parser
Full parser
Weight
1
Hashes
{'vae': 'c6a580b13a', 'model': '71e14760e2', 'embed:BadDream': '758aac4435'}
"module
none
Backend
Original
Version
e0d8a92
Biglips
1.00>, injected lips, pink lipstick, pink lipgloss"
"biglips
526af525a44c"
Low vram
False
Clipskip
2
Resources
[{'hash': '71e14760e2', 'name': 'control_openpose-fp16 [9ca67cc5]', 'type': 'model'}]
Model hash
71e14760e2
Operations
txt2img
Resize mode
Crop and Resize
Control mode
Balanced"
Guidance end
1
Pixel perfect
True
Guidance start
0
Adetailer version
23.9.1
Adetailer model 3rd
lips.pt
Token merging ratio
0.5
Adetailer mask blur 3rd
4
Adetailer confidence 3rd
0.3
Adetailer dilate/erode 3rd
16
Adetailer inpaint padding 3rd
32
Adetailer denoising strength 3rd
0.4
Adetailer inpaint only masked 3rd
True
+
+
+ + + + +
+ +
+
Prompt
a woman, headshot, portrait, latex catsuit, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR),
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
3064179663
Size
576x768
Model
control_openpose-fp16 [9ca67cc5]
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
5.79
Parser
Full parser
Weight
1
Hashes
{'vae': 'c6a580b13a', 'model': '71e14760e2', 'embed:BadDream': '758aac4435'}
"module
none
Backend
Original
Version
e0d8a92
Biglips
1.00>, injected lips, pink lipstick, pink lipgloss"
"biglips
526af525a44c"
Low vram
False
Clipskip
2
Resources
[{'hash': '71e14760e2', 'name': 'control_openpose-fp16 [9ca67cc5]', 'type': 'model'}]
Model hash
71e14760e2
Operations
txt2img
Resize mode
Crop and Resize
Control mode
Balanced"
Guidance end
1
Pixel perfect
True
Guidance start
0
Adetailer version
23.9.1
Adetailer model 3rd
lips.pt
Token merging ratio
0.5
Adetailer mask blur 3rd
4
Adetailer confidence 3rd
0.3
Adetailer dilate/erode 3rd
16
Adetailer inpaint padding 3rd
32
Adetailer denoising strength 3rd
0.4
Adetailer inpaint only masked 3rd
True
+
+
+ + + + +
+ +
+
Prompt
a woman, headshot, portrait, latex catsuit, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR),
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
961342737
Size
576x768
Model
Style-SFW_revAnimated_v122
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
8.11
Parser
Full parser
Hashes
{'vae': 'c6a580b13a', 'model': '4199bcdd14', 'embed:BadDream': '758aac4435'}
Backend
Original
Version
e0d8a92
Biglips
0.8>, bimbo lips, pink lipgloss"
"biglips
526af525a44c"
Clipskip
2
Resources
[{'hash': '4199bcdd14', 'name': 'Style-SFW_revAnimated_v122', 'type': 'model'}]
Model hash
4199bcdd14
Operations
txt2img
Lip_slider_v21
6.00>, bimbo lips, pink lipstick, pink lipgloss"
Adetailer version
23.9.1
Adetailer model 2nd
lips.pt
Adetailer model 3rd
lips.pt
Token merging ratio
0.5
Adetailer mask blur 2nd
4
Adetailer mask blur 3rd
4
Adetailer confidence 2nd
0.3
Adetailer confidence 3rd
0.3
Adetailer dilate/erode 2nd
4
Adetailer dilate/erode 3rd
16
Adetailer inpaint padding 2nd
32
Adetailer inpaint padding 3rd
32
Adetailer denoising strength 2nd
0.4
Adetailer denoising strength 3rd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer inpaint only masked 3rd
True
+
+
+ + + + +
+ +
+
Prompt
a woman, headshot, portrait, latex catsuit, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR),
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
961342737
Size
576x768
Model
Style-SFW_revAnimated_v122
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
7.34
Parser
Full parser
Hashes
{'vae': 'c6a580b13a', 'model': '4199bcdd14', 'embed:BadDream': '758aac4435'}
Backend
Original
Version
e0d8a92
Biglips
0.8>, bimbo lips, pink lipgloss"
"biglips
526af525a44c"
Clipskip
2
Resources
[{'hash': '4199bcdd14', 'name': 'Style-SFW_revAnimated_v122', 'type': 'model'}]
Model hash
4199bcdd14
Operations
txt2img
Lip_slider_v21
6.00>, bimbo lips, pink lipstick, pink lipgloss"
Adetailer version
23.9.1
Adetailer model 2nd
lips.pt
Adetailer model 3rd
lips.pt
Token merging ratio
0.5
Adetailer mask blur 2nd
4
Adetailer mask blur 3rd
4
Adetailer confidence 2nd
0.3
Adetailer confidence 3rd
0.3
Adetailer dilate/erode 2nd
4
Adetailer dilate/erode 3rd
16
Adetailer inpaint padding 2nd
32
Adetailer inpaint padding 3rd
32
Adetailer denoising strength 2nd
0.4
Adetailer denoising strength 3rd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer inpaint only masked 3rd
True
+
+
+ + + + +
+ +
+
Prompt
a woman, headshot, portrait, bimbo, blonde hair, pigtails, front view, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR), <lora:more_details:0.5>
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1495632732
Size
512x512
Model
NSFW-Style_lazymixRealAmateur_v30b
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
7.59
Parser
Full parser
Hashes
{'vae': 'c6a580b13a', 'model': '71e14760e2', 'embed:BadDream': '758aac4435', 'lora:more_details': 'd9cf2f88de'}
Backend
Original
Version
e0d8a92
Biglips
0.8>, bimbo lips, pink lipgloss
Clipskip
2
Resources
[{'name': 'more_details', 'type': 'lora', 'weight': 0.5}, {'hash': '71e14760e2', 'name': 'NSFW-Style_lazymixRealAmateur_v30b', 'type': 'model'}]
Model hash
71e14760e2
Operations
txt2img
(lips parted
1.3), pout"
More_details
3b8aa1d351ef"
Lip_slider_v21
3.00>, bimbo lips, pink lipstick, pink lipgloss"
Adetailer version
23.9.1
Adetailer model 2nd
lips.pt
Adetailer model 3rd
lips.pt
Adetailer model 4th
eyes.pt
Token merging ratio
0.5
Eyelashes_slider_v3
5.00>, pink makeup"
"eyelashes_slider_v3
0004fcdaeb24
Adetailer mask blur 2nd
4
Adetailer mask blur 3rd
4
Adetailer mask blur 4th
4
Adetailer confidence 2nd
0.3
Adetailer confidence 3rd
0.3
Adetailer confidence 4th
0.3
Adetailer dilate/erode 2nd
20
Adetailer dilate/erode 3rd
36
Adetailer dilate/erode 4th
4
Adetailer inpaint padding 2nd
32
Adetailer inpaint padding 3rd
32
Adetailer inpaint padding 4th
32
Adetailer denoising strength 2nd
0.6
Adetailer denoising strength 3rd
0.4
Adetailer denoising strength 4th
0.4
Adetailer inpaint only masked 2nd
True
Adetailer inpaint only masked 3rd
True
Adetailer inpaint only masked 4th
True
+
+
+ + + + +
+ +
+
Prompt
a woman, headshot, portrait, bimbo, blonde hair, pigtails, front view, (best quality, masterpiece, perfect face, detailed symmetric iris, perfect smooth skin texture), (hyper realism, soft light, dramatic light, sharp, HDR), <lora:more_details:0.5>
Negative prompt
BadDream, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1495632732
Size
512x512
Model
NSFW-Style_lazymixRealAmateur_v30b
Sampler
DPM++ 3M SDE Karras
Steps
40
CFG scale
6
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned
Score
5.55
Parser
Full parser
Hashes
{'vae': 'c6a580b13a', 'model': '71e14760e2', 'embed:BadDream': '758aac4435', 'lora:more_details': 'd9cf2f88de'}
Backend
Original
Version
e0d8a92
Biglips
0.8>, bimbo lips, pink lipgloss
Clipskip
2
Resources
[{'name': 'more_details', 'type': 'lora', 'weight': 0.5}, {'hash': '71e14760e2', 'name': 'NSFW-Style_lazymixRealAmateur_v30b', 'type': 'model'}]
Model hash
71e14760e2
Operations
txt2img
(lips parted
1.3), pout"
More_details
3b8aa1d351ef"
Lip_slider_v21
3.00>, bimbo lips, pink lipstick, pink lipgloss"
Adetailer version
23.9.1
Adetailer model 2nd
lips.pt
Adetailer model 3rd
lips.pt
Adetailer model 4th
eyes.pt
Token merging ratio
0.5
Eyelashes_slider_v3
5.00>, pink makeup"
"eyelashes_slider_v3
0004fcdaeb24
Adetailer mask blur 2nd
4
Adetailer mask blur 3rd
4
Adetailer mask blur 4th
4
Adetailer confidence 2nd
0.3
Adetailer confidence 3rd
0.3
Adetailer confidence 4th
0.3
Adetailer dilate/erode 2nd
20
Adetailer dilate/erode 3rd
36
Adetailer dilate/erode 4th
4
Adetailer inpaint padding 2nd
32
Adetailer inpaint padding 3rd
32
Adetailer inpaint padding 4th
32
Adetailer denoising strength 2nd
0.6
Adetailer denoising strength 3rd
0.4
Adetailer denoising strength 4th
0.4
Adetailer inpaint only masked 2nd
True
Adetailer inpaint only masked 3rd
True
Adetailer inpaint only masked 4th
True
+ \ No newline at end of file diff --git a/adetailer/adetailerAfterDetailer_v10.json b/adetailer/adetailerAfterDetailer_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..81448c3f244a487d3d605d28e478392f37d66b2b --- /dev/null +++ b/adetailer/adetailerAfterDetailer_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Someone had mentioned creating a model for adetailer for lips so I thought I'd give it a go having never trained a YOLO model before.Trained on 577 images both anime and real life.Instructions: Download ZipExtract Zip to your models\\adetailer folderRestart your serverThis can be used to modify the lips, apply lipstick or bimbofy the lips using the various loras and textual inversions already published.Remember if you are looking to grow lips, you'll want to modify the mask preprocessing and increase the dilation.", + "sd version": "SD1", + "modelId": 142240, + "sha256": "DC37038E1FC655F49946DCD31AEDE2C32EB0CE1A356FF2D7908CC939F4780592", + "unpackList": [ + "lips_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerAfterDetailer_v10.preview.png b/adetailer/adetailerAfterDetailer_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..4966b2c02bbf781612fc2b70642eb6717e9ff512 Binary files /dev/null and b/adetailer/adetailerAfterDetailer_v10.preview.png differ diff --git a/adetailer/adetailerAfterDetailer_v47.html b/adetailer/adetailerAfterDetailer_v47.html new file mode 100644 index 0000000000000000000000000000000000000000..bde480b6d5cd605173b173588b9cd3d09dd736be --- /dev/null +++ b/adetailer/adetailerAfterDetailer_v47.html @@ -0,0 +1,107 @@ + + + + + + +
+

ADetailer (After Detailer) Female Breast model

+

Uploaded by Jellon

+
+
+
Version
+
v4.7
+
Base Model
+
Other
+
Published
+
2024-08-01
+
Availability
+
Public
+
CivitAI Tags
+
+
+ femalewomentoolbreastadetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/688769
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Put the model under models/adetailer

Only tested with realistic and semi-realistic images. There is no anime / cartoon images in the training data.

+
+ +
+
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/adetailerAfterDetailer_v47.json b/adetailer/adetailerAfterDetailer_v47.json new file mode 100644 index 0000000000000000000000000000000000000000..41b4ca37c0a1a64085454b04c2a581dcc0eed6fe --- /dev/null +++ b/adetailer/adetailerAfterDetailer_v47.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Put the model under models/adetailerOnly tested with realistic and semi-realistic images. There is no anime / cartoon images in the training data.", + "sd version": "Other", + "modelId": 138918, + "sha256": "D8F338BF20BD55B7D88C3356265DAB1CA73FB71FF73B41BDCEE020E4066DC557", + "unpackList": [ + "female-breast-v4.7.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerAfterDetailer_v47.preview.png b/adetailer/adetailerAfterDetailer_v47.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..6a8026249d8a12f0e38ac6ed08463e83b9e4d0b9 Binary files /dev/null and b/adetailer/adetailerAfterDetailer_v47.preview.png differ diff --git a/adetailer/adetailerCentaur_v10.html b/adetailer/adetailerCentaur_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..c96f0faf668dd84e1d355bf09b079e724bae515d --- /dev/null +++ b/adetailer/adetailerCentaur_v10.html @@ -0,0 +1,51 @@ + + + + + + +
+

Adetailer centaur_yolov8m-seg.pt

+

Uploaded by Uorufu

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-08-27
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetailersegmentationyolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/775456
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Yolov8 model to recognize and segment centaurs for use in adetailer.

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/adetailerCentaur_v10.json b/adetailer/adetailerCentaur_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..2bd0a355b1113dd0cec43317c2387da1e2f542b0 --- /dev/null +++ b/adetailer/adetailerCentaur_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Yolov8 model to recognize and segment centaurs for use in adetailer.", + "sd version": "Other", + "modelId": 692922, + "sha256": "B187B3D077A1AE0C4D1B6C9473882A0557211B071D4B59B69C43F3C90BF1477C", + "unpackList": [ + "centaur_yolov8m-seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerCentaur_v10.preview.png b/adetailer/adetailerCentaur_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..c0567749c8e9036df3a42aacf647feda029cc767 Binary files /dev/null and b/adetailer/adetailerCentaur_v10.preview.png differ diff --git a/adetailer/adetailerDragonRobot_v2.html b/adetailer/adetailerDragonRobot_v2.html new file mode 100644 index 0000000000000000000000000000000000000000..248545fe1dd5e0066d6f08ca01c9d522bbff87b9 --- /dev/null +++ b/adetailer/adetailerDragonRobot_v2.html @@ -0,0 +1,245 @@ + + + + + + +
+

ADetailer - Dragon, robot and android face

+

Uploaded by Squirtle0007

+
+
+
Version
+
v2
+
Base Model
+
Other
+
Published
+
2024-11-09
+
Availability
+
Public
+
CivitAI Tags
+
+
+ androiddragonrobotherotooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/1042893
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

First time do the adetailer model

It should be work for Dragon, robot, android character, see the sample

Put the model under models/adetailer

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style, +<lora:eldlich the golden lord ponyXL v3:0.85>,eldlich the golden lord,solo,1boy,sitting,male focus,crossed legs,throne,sun,sunset,sky,ruins,rock,extra eyes,male_focus,
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
421141814
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:eldlich the golden lord ponyXL v3': '734aa8bbc3bc'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61', 'zPDXL-neg': '31a5da9018b9', 'NEGATIVE_HANDS': '1411f312e096'}
Resources
[{'hash': '734aa8bbc3bc', 'name': 'eldlich the golden lord ponyXL v3', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style,<lora:Obelisk the Tormentor ponyXL v1:0.95>, +obelisk the tormentor, no humans, red sclera, solo, electricity, lightning, clenched hand, rock, looking at viewer, glowing hand, giantess, incoming punch, demon, large pectorals, red crystal, muscular, 1other, male focus, blue energy
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
4097879802
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:Obelisk the Tormentor ponyXL v1': '9e98ff312e7c'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61'}
Resources
[{'hash': '9e98ff312e7c', 'name': 'Obelisk the Tormentor ponyXL v1', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style,<lora:Firewall Dragon ponyXL v1:0.8>, +firewall dragon,no humans,solo,spread wings,open mouth,mecha dragon,electricity,looking at viewer,1other,orange sclera,blue skin,looking at viewer,glitch,
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
2396669241
Size
1024x1024
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:Firewall Dragon ponyXL v1': 'b80415bd86b5'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61', 'zPDXL-neg': '31a5da9018b9', 'NEGATIVE_HANDS': '1411f312e096'}
Resources
[{'hash': 'b80415bd86b5', 'name': 'Firewall Dragon ponyXL v1', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style,<lora:Firewall Dragon ponyXL v1:0.8>,glitch, +firewall dragon,1girl,solo,long hair,blue background,looking at viewer,upper body,white hair,simple background,spread wings,blue bodysuit,white headgear,orange eyes,white dress,white elbow gloves,genderswap \(mtf\),personification,
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
1418534946
Size
832x1216
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:Firewall Dragon ponyXL v1': 'b80415bd86b5'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61'}
Resources
[{'hash': 'b80415bd86b5', 'name': 'Firewall Dragon ponyXL v1', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style, +<lora:trishula dragon of the ice barrier ponyXL v1.4:0.88>, +trishula dragon of the ice barrier,no humans,claws,spread wings,solo,ice,red eyes,blue background,blue dragon,full body,flying,blue theme,1other,orange sclera,multiple heads,
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
3774656969
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:trishula dragon of the ice barrier ponyXL v1.4': '064c5c0d65dd'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61', 'zPDXL-neg': '31a5da9018b9', 'NEGATIVE_HANDS': '1411f312e096'}
Resources
[{'hash': '064c5c0d65dd', 'name': 'trishula dragon of the ice barrier ponyXL v1.4', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style, +<lora:trishula dragon of the ice barrier ponyXL v1.4:0.92>, +trishula dragon of the ice barrier,1girl,personification,solo,spread wings,dragon girl,very long hair,slit pupils,open mouth,grey hair,smile,hand on own hip,blue highleg leotard,blue thighhighs,silver animal hands,orange eyes,(dragon heads),silver shoulder armor,(multiple heads),head tilt,large breasts,ice_snow,winter,smug,cyan lips,earrings,breasts squeezed together,fangs,
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
3006768162
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:trishula dragon of the ice barrier ponyXL v1.4': '064c5c0d65dd'}
Version
v1.10.1
X values
{}
Clipskip
2
Resources
[{'hash': '064c5c0d65dd', 'name': 'trishula dragon of the ice barrier ponyXL v1.4', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style,<lora:Obelisk the Tormentor ponyXL v1:0.95>, +<lora:Dragunity Style ponyXL v1.11:0.85>, spear,lightning,claws,electricity,open mouth,dragunity knight - romulus,no humans,holding spear,sharp teeth,green background,dragunity,dragon riding,full armor,full body,silver armor,red sclera,blue dragon
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
2462427472
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
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Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:Dragunity Style ponyXL v1.11': 'dea49884cfbe', 'lora:Obelisk the Tormentor ponyXL v1': '9e98ff312e7c'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61', 'zPDXL-neg': '31a5da9018b9', 'NEGATIVE_HANDS': '1411f312e096'}
Resources
[{'hash': '9e98ff312e7c', 'name': 'Obelisk the Tormentor ponyXL v1', 'type': 'lora'}, {'hash': 'dea49884cfbe', 'name': 'Dragunity Style ponyXL v1.11', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style, +<lora:Ideon ponyXL v1:0.85>,space,starry sky,explosion,spacecraft,no humans,solo,science fiction,sky,cloud,upper body,looking at viewer,1other,blue sky,ideon,super robot,giantless,
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
1614219623
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:Ideon ponyXL v1': '81e5c827cac7'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61', 'zPDXL-neg': '31a5da9018b9', 'NEGATIVE_HANDS': '1411f312e096'}
Resources
[{'hash': '81e5c827cac7', 'name': 'Ideon ponyXL v1', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+
+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style,<lora:Obelisk the Tormentor ponyXL v1:0.95>, +obelisk the tormentor, red sclera, solo, no humans, glowing hand, male focus, rock, sky, cloud, looking at viewer, red sky, electricity, clenched hand, cloudy sky, demon, giantess, large pectorals, muscular, red crystal, 1other, incoming punch, blue energy
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
3358002173
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:Obelisk the Tormentor ponyXL v1': '9e98ff312e7c'}
Version
v1.10.1
X values
{}
Clipskip
2
Ti hashes
{'zPDXL': 'c1fcf5eef414', 'zPDXL3': '1727c6cddf61', 'zPDXL-neg': '31a5da9018b9', 'NEGATIVE_HANDS': '1411f312e096'}
Resources
[{'hash': '9e98ff312e7c', 'name': 'Obelisk the Tormentor ponyXL v1', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
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+
+ + + + +
+ +
+
Prompt
(score_9:0.9),score_8_up,score_7_up,rating_safe,(zPDXL3),(zPDXL), +masterpiece,intricate details,anime,4k,best quality,anime style, +<lora:eldlich the golden lord ponyXL v3:0.7>,eldlich the golden lord,1boy,solo,pointing at viewer,pointing,looking at viewer,muscular,extra eyes,male_focus,castle,gold trim,
Negative prompt
score_6_up,score_5_up,score_4_up,(zPDXL-neg, NEGATIVE_HANDS),deformed hands,signature,patreon,censored,text,(watermark),low-quality,moir pattern,downsampling,aliasing,distorted,blurry,glossy,blur,jpeg artifacts,compression artifacts,poorly drawn,low-resolution,bad,distortion,twisted,excessive,exaggerated pose,exaggerated limbs,grainy,symmetrical,duplicate,error,pattern,beginner,pixelated,fake,hyper,glitch,overexposed,high-contrast,bad-contrast,realistic,3d,sketch,bar censor,
Seed
1042813648
Size
896x1152
Model
waiANINSFWPONYXL_v90
Sampler
Euler a
Steps
30
CFG scale
5.5
+
+
+ + +
+
Vae
sdxl_vae.safetensors
Ensd
31337
Script
X/Y/Z plot
X type
[ADetailer] ADetailer model 1st
Hashes
{'vae': '735e4c3a44', 'model': 'd4d392a02c', 'lora:eldlich the golden lord ponyXL v3': '734aa8bbc3bc'}
Version
v1.10.1
X values
{}
Clipskip
2
Resources
[{'hash': '734aa8bbc3bc', 'name': 'eldlich the golden lord ponyXL v3', 'type': 'lora'}, {'hash': 'd4d392a02c', 'name': 'waiANINSFWPONYXL_v90', 'type': 'model'}]
Model hash
d4d392a02c
Schedule type
Automatic
Adetailer version
24.9.0
+ \ No newline at end of file diff --git a/adetailer/adetailerDragonRobot_v2.json b/adetailer/adetailerDragonRobot_v2.json new file mode 100644 index 0000000000000000000000000000000000000000..aa28be96f6161f5fb660983f97d8cfad47515d2a --- /dev/null +++ b/adetailer/adetailerDragonRobot_v2.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "First time do the adetailer modelIt should be work for Dragon, robot, android character, see the samplePut the model under models/adetailer", + "sd version": "Other", + "modelId": 857212, + "sha256": "8DFF36EEDBFE0D7CE6EF66704A9850775551B5B1B542B684726362CB0CBB8A40", + "unpackList": [ + "robot face v2_best.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerDragonRobot_v2.preview.png b/adetailer/adetailerDragonRobot_v2.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..fefd2a087433a5e00dfc3d697829506509bd8868 Binary files /dev/null and b/adetailer/adetailerDragonRobot_v2.preview.png differ diff --git a/adetailer/adetailerFaceFinderFurry_v12.html b/adetailer/adetailerFaceFinderFurry_v12.html new file mode 100644 index 0000000000000000000000000000000000000000..9fdfef19265c70936be7529485df0b8deb529a21 --- /dev/null +++ b/adetailer/adetailerFaceFinderFurry_v12.html @@ -0,0 +1,91 @@ + + + + + + +
+

Adetailer Face finder (Furry, Anime, Realistic), DDetailer,

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Uploaded by Toad_boi

+
+
+
Version
+
v1.2
+
Base Model
+
Other
+
Published
+
2023-11-27
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Availability
+
Public
+
CivitAI Tags
+
+
+ animefemalefurrymalefacetoolddetailerdetectionadetailer +
+
+
Download Link
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https://civitai.com/api/download/models/235730
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+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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+
+
+ +
+

Description

+

The goal of this point is to find a face of any type of generation, including realistic, anime, and anthro characters.

PLEASE NOTE THE DATABASE TYPE DOES NOT MATTER. I have adjusted each version to include a different database version for search ability, but these are diffusion agnostic. It's all about detecting a face no matter what.

This is a bbox detection YOLOv8 model. This does not improve your image on its own and must be used as a part of the 'adetailer' extension for WebUI, found at https://github.com/Bing-su/adetailer or 'uddetailer' found at https://github.com/wkpark/uddetailer. It is to be used to find any type of face in a image so that you can infill that part of the image. Right now it is better suited for finding faces that the other pre-installed databases seem to miss. (ex. face_yolov8n.pt, face_yolov8s.pt, mediapipe_face_full). If those did not work for you, mine probably will.

This is my first model and first item I have made I feel confident in that others may find it useful. I found out that these adetailer databases are actually part of something that I was already working on.

Right now it is not trained on realistic animals or common mistakes, but I have seen my desired success rate already. Please let me know if you continually get a false positive (what you and I know probably should not be a face).

I realized to late that I focused to hard on if I could, that I didn't stop to think if I should. Now I am making a new data set and I have to re-tag all my 'facial' data... The next one will have classes. There are some rumblings that adetailer may be able to pick and choose which classes of detection to remake.

Later if I can work this out I'll probably move on to segmentation, time willing. I have met challenges with this with my tools.

Please feel free to provide your feedback on which faces it seems to miss or what false positive you find, as I want to continue to improve this model to find Only faces :)

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+ \ No newline at end of file diff --git a/adetailer/adetailerFaceFinderFurry_v12.json b/adetailer/adetailerFaceFinderFurry_v12.json new file mode 100644 index 0000000000000000000000000000000000000000..76a3510a2405cceb3388a2b5e357cafc36b8ca25 --- /dev/null +++ b/adetailer/adetailerFaceFinderFurry_v12.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "The goal of this point is to find a face of any type of generation, including realistic, anime, and anthro characters.PLEASE NOTE THE DATABASE TYPE DOES NOT MATTER. I have adjusted each version to include a different database version for search ability, but these are diffusion agnostic. It's all about detecting a face no matter what.This is a bbox detection YOLOv8 model. This does not improve your image on its own and must be used as a part of the 'adetailer' extension for WebUI, found at https://github.com/Bing-su/adetailer https://github.com/Bing-su/adetailer or 'uddetailer' found at https://github.com/wkpark/uddetailer https://github.com/wkpark/uddetailer. It is to be used to find any type of face in a image so that you can infill that part of the image. Right now it is better suited for finding faces that the other pre-installed databases seem to miss. (ex. face_yolov8n.pt, face_yolov8s.pt, mediapipe_face_full). If those did not work for you, mine probably will.This is my first model and first item I have made I feel confident in that others may find it useful. I found out that these adetailer databases are actually part of something that I was already working on.Right now it is not trained on realistic animals or common mistakes, but I have seen my desired success rate already. Please let me know if you continually get a false positive (what you and I know probably should not be a face).I realized to late that I focused to hard on if I could, that I didn't stop to think if I should. Now I am making a new data set and I have to re-tag all my 'facial' data... The next one will have classes. There are some rumblings that adetailer may be able to pick and choose which classes of detection to remake.Later if I can work this out I'll probably move on to segmentation, time willing. I have met challenges with this with my tools.Please feel free to provide your feedback on which faces it seems to miss or what false positive you find, as I want to continue to improve this model to find Only faces :)", + "sd version": "Other", + "modelId": 207406, + "sha256": "1490974F5CAE0049332E3FC57B3F423CC8AA6FEC475DB1E18A3DD50D7D4CD40D", + "unpackList": [ + "FacesV1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerFaceFinderFurry_v12.preview.png b/adetailer/adetailerFaceFinderFurry_v12.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..e92ba5fc765142ec877068bb44bc7cfa6b48d5a8 Binary files /dev/null and b/adetailer/adetailerFaceFinderFurry_v12.preview.png differ diff --git a/adetailer/adetailerFootYolov8x_v20.html b/adetailer/adetailerFootYolov8x_v20.html new file mode 100644 index 0000000000000000000000000000000000000000..0d157b0a4cb8fcfcbedb307a863c8e4a189fb47b --- /dev/null +++ b/adetailer/adetailerFootYolov8x_v20.html @@ -0,0 +1,164 @@ + + + + + + +
+

ADetailer foot_yolov8x.pt

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Uploaded by Monet_Einsley

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+
+
Version
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v2.0
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Base Model
+
Other
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Published
+
2024-02-13
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Availability
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Public
+
CivitAI Tags
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+
+ characterfootdetectionadetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/341846
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Thanks to sp00ns' guide:
Training a Custom Adetailer Model | Civitai
I created a custom foot model using yolov8x.

The foot model that sp00ns provided was helpful, but I wanted to see about making my own.

Version 1.0:

I'd tried using AutoDistiller and Grounded SAM to automatically label each of the 1000 images, but it partially failed, in that it also registered hands as feet. (Also I hate Colab, as I can't get work done there without it ending the job prematurely)
Therefore, I painstakingly labeled each and every image using RectLabel on my Mac, then spent about 8 hours training the YOLO model on my PC.

Though I'd planned for 500 epochs, it ended early and determined that the best was at the 93rd epoch.

I included a lot of my own generated images, as well as some stock images; anime, 3D models, and realistic images; male and female, varying skin tones, and various footwear configurations as well as barefoot images. That being said, there are some things it still cannot handle well, such as unconventional poses (like images rotated by 90 degrees), and images where the foot is the subject of composition. My guess is because the vast majority of the training images were of that with the feet taking up a small percentage of the canvas, not enough training was dedicated for closeups of feet. On the other hand, my intent was to use this model to refine feet that would otherwise be neglected, such as in the case of full body shots where the feet take up a tiny fraction of the canvas space.

In short, this version is very good at dealing with feet for standing poses especially in full body shots. But it can struggle with feet outside of that range.

Version 2.0:

I noticed that I mislabeled my training/validation folders for version 1, so my training folder was actually my validation folder and vice-versa. I went ahead and renamed them, however simply doing so and assuming that it would take no more than 100 epochs like version 1 led to some other issues--it started detecting whole bodies as feet. So that was 3 hours down the drain. I set the epochs for 200, migrated a lot of the old validations images into the training folder, and added around 160 new images (using RectLabel to painstakingly label each and every image manually.) This time, after 12 hours, it determined that epoch 148 was the best version, so that is what this is.

From what I've tested, it can detect feet in various configurations far better than v1.0 with few issues; it can detect soles; it can detect feet rotated by 90 degrees; and it can mostly detect feet in unconventional poses--depending on the pose.

A few issues I've noticed, however, is that it sometimes detects hands/knees/other objects as feet, albeit at a lower confidence level than actual feet. If you see this occurring, I'd recommend increasing the Detection model confidence threshold in the Adetailer Detection settings to at least 0.5.

For images of feet that takes up a great majority of the canvas, sometimes it detects them, sometimes it partially detects them, and sometimes it detects one but not the other. Arguably, this model wasn't designed for such images, even though such images were included in the training dataset, because what this model does is crops the total canvas to focus on its target; feet, in order to dedicate a lot of image generation to refine/modify said feet. If feet are already the focus of the image, taking up 50% or more of the total canvas, then this model effectively serves little in the way of refining the target. One can still use it for that purpose if they so please, but it might lead to more problems than solutions, depending on how you use it.

Installation:

Simply move the file into the ~\stable-diffusion-webui\models\adetailer folder and restart the webui. Should also work on ComfyUI, but I haven't tested it there. Of course, you'll need the ADetailer extension for Automatic 1111, or its equivalent on ComfyUI for any of this to work.

Tip: You can increase the ADetailer model count in Automatic 1111 by going to: Settings>ADetailer>Max models.

Note: Civitai doesn't seem to have a category for ADetailer stuff, so I'm setting it as a checkpoint--even though it's not. The settings on pruned or full and precision stuff I just set to whatever.

Also to note, these days stable diffusion seems to be good at doing feet at least in portrait aspect ratios, so I had a hard time coming up with a good use case for portrait. So I instead used the model to paint Tharja's toenails in the example. But, this model will be especially good for landscape aspect ratios similar to what I do normally, as the feet tend to be quite low quality there.

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Prompt
(high resolution photograph, best quality, masterpiece, highest quality, HDR, 8k:1.4) +BREAK (full body shot of Sadayo Kawakami, standing up in an apartment living room, yukata, traditional Japanese clothes:1.4) +BREAK (green eyes, lip gloss, gorgeous smile, blushing:1.3) <lora:skp5-guy-v2:1> +BREAK (living room with a window, cityscape:1.2)
Negative prompt
(worst quality, bad quality, bad anatomy, 6finger, 6toes:1.4) bad_prompt_version2-neg badhandv4 EasyNegative NegfeetV2 ng_deepnegative_v1_75t
Seed
2207451983
Size
768x432
Model
Noisy_Element
Sampler
LCM
Steps
8
CFG scale
1.5
+
+
+ + +
+
8k
1.4)\nBREAK (hand focus, yukata, traditional Japanese clothes, inside an apartment, pink fingernails
Hashes
{'model': '3e87df8658'}
Clipskip
2
Resources
[{'hash': '3e87df8658', 'name': 'Noisy_Element', 'type': 'model'}]
Model hash
3e87df8658
Nail polish
1.4)"
Adetailer model
person_yolov8m-seg.pt
Adetailer steps
20
Denoising strength
0.4
Adetailer mask blur
8
Adetailer model 2nd
hand_yolov8s.pt
Adetailer model 3rd
face_yolov8m.pt
Adetailer steps 2nd
20
Adetailer confidence
0.3
Adetailer prompt 2nd
"(high resolution photograph, best quality, masterpiece, highest quality, HDR
Adetailer prompt 3rd
"(high resolution photograph, best quality, masterpiece, highest quality, HDR
Adetailer dilate erode
5
Adetailer inpaint width
864
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.42
Adetailer inpaint height
1536
Adetailer inpaint padding
20
Adetailer controlnet model
control_v11p_sd15_inpaint [ebff9138]
Adetailer dilate erode 2nd
4
Adetailer controlnet module
inpaint_global_harmonious
Adetailer inpaint width 2nd
1024
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
1024
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
100
Adetailer denoising strength 2nd
0.4
Adetailer use separate steps 2nd
True
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height
True
Adetailer use inpaint width height 2nd
True
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Prompt
(masterpiece, best quality, ultra-detailed, illustration, painting, poster illustration:1.4) +(full body shot:1.3) of a High Quality Victorian Era cute girl +BREAK +(white dress with very short skirt:1.4), (sitting on a large towel at the beach, sand, legs spread:1.2), +(very large breasts), (cleavage), (smiling:1.3), (planes flying, boats in the water, aircraft, fighter jets:1.2)
Negative prompt
(worst quality, bad quality, bad anatomy, 6finger, 6toes:1.4) bad_prompt_version2-neg badhandv4 EasyNegative NegfeetV2 ng_deepnegative_v1_75t
Seed
1039108957
Size
128x128
Model
Noisy_Element
Sampler
Euler
Steps
1
CFG scale
1.5
+
+
+ + +
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8k
1.4)\nBREAK (light brown hair, brown eyes
Hashes
{'model': '3e87df8658'}
Clipskip
2
Resources
[{'hash': '3e87df8658', 'name': 'Noisy_Element', 'type': 'model'}]
Model hash
3e87df8658
Gorgeous smile
1.4)\nBREAK (wearing a sleeveless lace dress, necklace
Adetailer model
face_yolov8m.pt
Adetailer steps
20
Adetailer prompt
"(high resolution photograph, best quality, masterpiece, highest quality, HDR
Denoising strength
0.4
Adetailer mask blur
4
Adetailer model 2nd
foot_yolov8x_v2.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"(high resolution photograph, best quality, masterpiece, highest quality, HDR
Adetailer dilate erode
20
Adetailer inpaint width
1024
Adetailer inpaint height
1024
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
Bonnet with flowers and a blue ribbon
1.3)"
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Prompt
(masterpiece, best quality, ultra-detailed, illustration, painting, poster illustration:1.4) +BREAK (very long shot, full body, 1girl, standing up on one leg, hands on hips [dynamic pose:1], beach:1.4) +BREAK (wearing a gold bikini, lace, barefoot:1.4) +BREAK (clouds, islands on the horizon, crashing waves:1.4) + <lora:TharjaV4:1> tharjav4, Tharja \(Fire Emblem Awakening\), (black hair, black eyes, blunt bangs, long hair, two side up, shadow over eyes:1.23)
Negative prompt
(worst quality, bad quality, bad anatomy, 6finger, 6toes:1.4) bad_prompt_version2-neg badhandv4 EasyNegative NegfeetV2 ng_deepnegative_v1_75t
Seed
1039108957
Size
1024x1024
Model
Noisy_Element
Sampler
LCM
Steps
11
CFG scale
1.5
+
+
+ + +
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>
D
8k
1.4)\nBREAK (foot focus, highly detailed toes, sand
Beach
1.4)\nBREAK (wearing a gold bikini
Hashes
{'model': '3e87df8658'}
Tharjav4
1> tharjav4, Tharja \\(Fire Emblem Awakening\\), (black hair, black eyes, blunt bangs, long hair, two side up
Clipskip
2
Resources
[{'name': 'TharjaV4', 'type': 'lora', 'weight': 1}, {'hash': '3e87df8658', 'name': 'Noisy_Element', 'type': 'model'}]
Model hash
3e87df8658
Dynamic pose
1]
Adetailer model
face_yolov8m.pt
Adetailer steps
20
Adetailer prompt
"(masterpiece, best quality, ultra-detailed, illustration, painting
Shadow over eyes
1.23)\nBREAK (sinister smile
V-shaped eyebrows
1.4)"
Denoising strength
0.7
Adetailer mask blur
4
Adetailer model 2nd
foot_yolov8x_v2.pt
Poster illustration
1.4)\nBREAK (very long shot, full body, 1girl, standing up [on one leg
Adetailer confidence
0.3
Adetailer prompt 2nd
"(high resolution photograph, best quality, masterpiece, highest quality, HDR
Adetailer dilate erode
20
Adetailer inpaint width
1024
Adetailer inpaint height
1024
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
+ \ No newline at end of file diff --git a/adetailer/adetailerFootYolov8x_v20.json b/adetailer/adetailerFootYolov8x_v20.json new file mode 100644 index 0000000000000000000000000000000000000000..fb5f5e0710b4c84badd91019b38c340c1e419470 --- /dev/null +++ b/adetailer/adetailerFootYolov8x_v20.json @@ -0,0 +1,7 @@ +{ + "activation text": "", + "description": "Thanks to sp00ns' guide:Training a Custom Adetailer Model | Civitai https://civitai.com/articles/1224/training-a-custom-adetailer-modelI created a custom foot model using yolov8x.The foot model that sp00ns provided was helpful, but I wanted to see about making my own.Version 1.0:I'd tried using AutoDistiller and Grounded SAM to automatically label each of the 1000 images, but it partially failed, in that it also registered hands as feet. (Also I hate Colab, as I can't get work done there without it ending the job prematurely)Therefore, I painstakingly labeled each and every image using RectLabel on my Mac, then spent about 8 hours training the YOLO model on my PC.Though I'd planned for 500 epochs, it ended early and determined that the best was at the 93rd epoch.I included a lot of my own generated images, as well as some stock images; anime, 3D models, and realistic images; male and female, varying skin tones, and various footwear configurations as well as barefoot images. That being said, there are some things it still cannot handle well, such as unconventional poses (like images rotated by 90 degrees), and images where the foot is the subject of composition. My guess is because the vast majority of the training images were of that with the feet taking up a small percentage of the canvas, not enough training was dedicated for closeups of feet. On the other hand, my intent was to use this model to refine feet that would otherwise be neglected, such as in the case of full body shots where the feet take up a tiny fraction of the canvas space.In short, this version is very good at dealing with feet for standing poses especially in full body shots. But it can struggle with feet outside of that range.Version 2.0:I noticed that I mislabeled my training/validation folders for version 1, so my training folder was actually my validation folder and vice-versa. I went ahead and renamed them, however simply doing so and assuming that it would take no more than 100 epochs like version 1 led to some other issues--it started detecting whole bodies as feet. So that was 3 hours down the drain. I set the epochs for 200, migrated a lot of the old validations images into the training folder, and added around 160 new images (using RectLabel to painstakingly label each and every image manually.) This time, after 12 hours, it determined that epoch 148 was the best version, so that is what this is.From what I've tested, it can detect feet in various configurations far better than v1.0 with few issues; it can detect soles; it can detect feet rotated by 90 degrees; and it can mostly detect feet in unconventional poses--depending on the pose.A few issues I've noticed, however, is that it sometimes detects hands/knees/other objects as feet, albeit at a lower confidence level than actual feet. If you see this occurring, I'd recommend increasing the Detection model confidence threshold in the Adetailer Detection settings to at least 0.5.For images of feet that takes up a great majority of the canvas, sometimes it detects them, sometimes it partially detects them, and sometimes it detects one but not the other. Arguably, this model wasn't designed for such images, even though such images were included in the training dataset, because what this model does is crops the total canvas to focus on its target; feet, in order to dedicate a lot of image generation to refine/modify said feet. If feet are already the focus of the image, taking up 50% or more of the total canvas, then this model effectively serves little in the way of refining the target. One can still use it for that purpose if they so please, but it might lead to more problems than solutions, depending on how you use it.Installation:Simply move the file into the ~\\stable-diffusion-webui\\models\\adetailer folder and restart the webui. Should also work on ComfyUI, but I haven't tested it there. Of course, you'll need the ADetailer extension for Automatic 1111, or its equivalent on ComfyUI for any of this to work.Tip: You can increase the ADetailer model count in Automatic 1111 by going to: Settings>ADetailer>Max models.Note: Civitai doesn't seem to have a category for ADetailer stuff, so I'm setting it as a checkpoint--even though it's not. The settings on pruned or full and precision stuff I just set to whatever.Also to note, these days stable diffusion seems to be good at doing feet at least in portrait aspect ratios, so I had a hard time coming up with a good use case for portrait. So I instead used the model to paint Tharja's toenails in the example. But, this model will be especially good for landscape aspect ratios similar to what I do normally, as the feet tend to be quite low quality there.", + "sd version": "Other", + "modelId": 257904, + "sha256": "9F39F32AB83B43002CA466605603B6C6DCFF124ECFB23DAB1C74C36ECB95CB4B" +} \ No newline at end of file diff --git a/adetailer/adetailerFootYolov8x_v20.preview.png b/adetailer/adetailerFootYolov8x_v20.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..cf8106d2fcccae42e697d91209fdd93faa7bce6e Binary files /dev/null and b/adetailer/adetailerFootYolov8x_v20.preview.png differ diff --git a/adetailer/adetailerFootYolov8x_v20.pt b/adetailer/adetailerFootYolov8x_v20.pt new file mode 100644 index 0000000000000000000000000000000000000000..6c9e3be927e050a70ca46608b947b5e9a57e07f5 --- /dev/null +++ b/adetailer/adetailerFootYolov8x_v20.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f39f32ab83b43002ca466605603b6c6dcff124ecfb23dab1c74c36ecb95cb4b +size 136712062 diff --git a/adetailer/adetailerForTextSpeech_v10.html b/adetailer/adetailerForTextSpeech_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..8ce51de263a9a35ee4fd53ab0f39f13a03afdfeb --- /dev/null +++ b/adetailer/adetailerForTextSpeech_v10.html @@ -0,0 +1,123 @@ + + + + + + +
+

Adetailer for Text / Speech bubbles / Watermarks | Anime/Furry

+

Uploaded by septagon

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+
+
Version
+
v1.0
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Base Model
+
Other
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Published
+
2024-09-14
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Availability
+
Public
+
CivitAI Tags
+
+
+ toolautomationadetaileryolov8 +
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+
Download Link
+
https://civitai.com/api/download/models/842704
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+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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+
+
+ +
+

Description

+

This Adetailer model will segment speech bubbles, text and watermarks commonly found in training data. Trained this so I could eventually automatically clean images in a dataset. Only tested on Comfy, but should work on other webUIs too. This is a WIP, and I have many things in mind on which could be improved:

Instructions/Workflow

Known issues:

  • make sure you don't set minimum confidence too low, or else undesired objects will be segmented

  • can misidentify watermarks for text, speech bubbles for logos etc. but this should not matter since they are segmented anyway

  • Some text that is transparent/partially hidden won't be identified

  • Trained primarily on NSFW images, may not work too well with comics, images with large/strange fonts etc.

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+ \ No newline at end of file diff --git a/adetailer/adetailerForTextSpeech_v10.json b/adetailer/adetailerForTextSpeech_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..5ce8710993a0685d3ae775b8adeb873ebec300ca --- /dev/null +++ b/adetailer/adetailerForTextSpeech_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This Adetailer model will segment speech bubbles, text and watermarks commonly found in training data. Trained this so I could eventually automatically clean images in a dataset. Only tested on Comfy, but should work on other webUIs too. This is a WIP, and I have many things in mind on which could be improved:Instructions/Workflow https://civitai.com/articles/7364Known issues:make sure you don't set minimum confidence too low, or else undesired objects will be segmentedcan misidentify watermarks for text, speech bubbles for logos etc. but this should not matter since they are segmented anywaySome text that is transparent/partially hidden won't be identifiedTrained primarily on NSFW images, may not work too well with comics, images with large/strange fonts etc.", + "sd version": "Other", + "modelId": 753616, + "sha256": "354094A561E92020F0DD501E61D136995D788B2C88AB376DBDEC22BC69FC752C", + "unpackList": [ + "unwanted-3x.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerForTextSpeech_v10.preview.png b/adetailer/adetailerForTextSpeech_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..75315336e7ce521020a125fa5fdd29c96a7db37a Binary files /dev/null and b/adetailer/adetailerForTextSpeech_v10.preview.png differ diff --git a/adetailer/adetailerForTextSpeech_v20.html b/adetailer/adetailerForTextSpeech_v20.html new file mode 100644 index 0000000000000000000000000000000000000000..8ce51de263a9a35ee4fd53ab0f39f13a03afdfeb --- /dev/null +++ b/adetailer/adetailerForTextSpeech_v20.html @@ -0,0 +1,123 @@ + + + + + + +
+

Adetailer for Text / Speech bubbles / Watermarks | Anime/Furry

+

Uploaded by septagon

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-09-14
+
Availability
+
Public
+
CivitAI Tags
+
+
+ toolautomationadetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/842704
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This Adetailer model will segment speech bubbles, text and watermarks commonly found in training data. Trained this so I could eventually automatically clean images in a dataset. Only tested on Comfy, but should work on other webUIs too. This is a WIP, and I have many things in mind on which could be improved:

Instructions/Workflow

Known issues:

  • make sure you don't set minimum confidence too low, or else undesired objects will be segmented

  • can misidentify watermarks for text, speech bubbles for logos etc. but this should not matter since they are segmented anyway

  • Some text that is transparent/partially hidden won't be identified

  • Trained primarily on NSFW images, may not work too well with comics, images with large/strange fonts etc.

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+ \ No newline at end of file diff --git a/adetailer/adetailerForTextSpeech_v20.json b/adetailer/adetailerForTextSpeech_v20.json new file mode 100644 index 0000000000000000000000000000000000000000..ebe29f741431319b253c5f378e4b51b7eb79bcc3 --- /dev/null +++ b/adetailer/adetailerForTextSpeech_v20.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This Adetailer model will segment speech bubbles, text and watermarks commonly found in training data. Trained this so I could eventually automatically clean images in a dataset. Only tested on Comfy, but should work on other webUIs too. This is a WIP, and I have many things in mind on which could be improved:Instructions/Workflow https://civitai.com/articles/7364Known issues:make sure you don't set minimum confidence too low, or else undesired objects will be segmentedcan misidentify watermarks for text, speech bubbles for logos etc. but this should not matter since they are segmented anywaySome text that is transparent/partially hidden won't be identifiedTrained primarily on NSFW images, may not work too well with comics, images with large/strange fonts etc.", + "sd version": "Other", + "modelId": 753616, + "sha256": "B601A1D8850F6DF688A558C8A53A37399D938F241695B1DAE9B004BE8CCDCE3F", + "unpackList": [ + "unwantedV10x.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerForTextSpeech_v20.preview.png b/adetailer/adetailerForTextSpeech_v20.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..75315336e7ce521020a125fa5fdd29c96a7db37a Binary files /dev/null and b/adetailer/adetailerForTextSpeech_v20.preview.png differ diff --git a/adetailer/adetailerHorsePussy_v10.html b/adetailer/adetailerHorsePussy_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..167001462b1abd6f05964a1ea922d3cf579660bb --- /dev/null +++ b/adetailer/adetailerHorsePussy_v10.html @@ -0,0 +1,223 @@ + + + + + + +
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ADetailer Horse Pussy

+

Uploaded by Siberpone

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+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-07-29
+
Availability
+
Public
+
CivitAI Tags
+
+
+ my little ponyhorsetoolponyadetailergenitalsgenitaliadetector +
+
+
Download Link
+
https://civitai.com/api/download/models/680217
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Horse pussy detection model for ADetailer.

Put the model file into .../stable-diffusion-webui/models/adetailer

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Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, princess luna, alicorn, female, mare, pony, solo, solo female, anatomically correct, bedroom eyes, blushing, dock, eyebrows, floppy ears, g4, grin, high res, horn, lip bite, looking at you, looking back, nudity, presenting, raised tail, redraw, sweat, tail, vaginal secretions, vulva, vulvar winking, wings, rear view, dark genitals, eye clipping through hair, vaginal secretions trail, looking back at you, smiling, spread wings, both cutie marks, smiling at you, eyebrows visible through hair, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
2107365935
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
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Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, princess luna, alicorn, female, mare, pony, solo, solo female, anatomically correct, bedroom eyes, blushing, dock, eyebrows, floppy ears, g4, grin, high res, horn, lip bite, looking at you, looking back, nudity, presenting, raised tail, redraw, sweat, tail, vaginal secretions, vulva, vulvar winking, wings, rear view, dark genitals, eye clipping through hair, vaginal secretions trail, looking back at you, smiling, spread wings, both cutie marks, smiling at you, eyebrows visible through hair, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
2107365935
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
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+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, pinkie pie, earth pony, female, mare, pony, solo, solo female, anatomically correct, bedroom eyes, clothes, dock, drip, g4, grin, hat, high res, hoodie, looking at you, looking back, nudity, presenting, tail, vulva, vulvar winking, dark genitals, testing testing 1-2-3, rapper pie, gold chains, looking back at you, smiling, both cutie marks, series:dosh's mare-a-thon, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
137612707
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, pinkie pie, earth pony, female, mare, pony, solo, solo female, anatomically correct, bedroom eyes, clothes, dock, drip, g4, grin, hat, high res, hoodie, looking at you, looking back, nudity, presenting, tail, vulva, vulvar winking, dark genitals, testing testing 1-2-3, rapper pie, gold chains, looking back at you, smiling, both cutie marks, series:dosh's mare-a-thon, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
137612707
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, cheerilee, earth pony, female, mare, pony, solo, solo female, anatomically correct, bipedal, bow, cheering, cheerleader, clothes, cute, cute porn, dock, eyes closed, g4, high res, nudity, open mouth, pom pom, sexy, skirt, tail, upskirt, vulva, dark genitals, cheeribetes, adorasexy, cheerileeder, smiling, cheerleader outfit, the cart before the ponies, open smile, series:dosh's mare-a-thon, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
2635986576
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, cheerilee, earth pony, female, mare, pony, solo, solo female, anatomically correct, bipedal, bow, cheering, cheerleader, clothes, cute, cute porn, dock, eyes closed, g4, high res, nudity, open mouth, pom pom, sexy, skirt, tail, upskirt, vulva, dark genitals, cheeribetes, adorasexy, cheerileeder, smiling, cheerleader outfit, the cart before the ponies, open smile, series:dosh's mare-a-thon, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
2635986576
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, starlight glimmer, female, mare, pony, solo, solo female, unicorn, anatomically correct, bell, blushing, collar, dock, g4, heart, heart eyes, horn, looking back, nudity, open mouth, pillow, prone, tail, vaginal secretions, vulva, window, wingding eyes, lying down, crossed legs, rear view, exclamation point, underhoof, cat bell, vaginal secretions trail, frog \(hoof\), glimmer glutes, bell collar, perineal raphe, tail trail, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
89819162
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, starlight glimmer, female, mare, pony, solo, solo female, unicorn, anatomically correct, bell, blushing, collar, dock, g4, heart, heart eyes, horn, looking back, nudity, open mouth, pillow, prone, tail, vaginal secretions, vulva, window, wingding eyes, lying down, crossed legs, rear view, exclamation point, underhoof, cat bell, vaginal secretions trail, frog \(hoof\), glimmer glutes, bell collar, perineal raphe, tail trail, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
89819162
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, berry punch, berryshine, earth pony, female, mare, pony, solo, solo female, alcohol, alternate version, anatomically correct, beer, bench, blushing, dock, drunk, exhibitionism, g4, go home you're drunk, looking at you, nipples, nudity, on back, open mouth, spread legs, spreading, table, tail, tiny teats, vulva, lying down, ear fluff, public nudity, legs in air, underhoof, casual nudity, dark genitals, frog \(hoof\), smiling, offscreen character, smiling at you, beer mug, alternate character, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
1484303314
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_explicit, berry punch, berryshine, earth pony, female, mare, pony, solo, solo female, alcohol, alternate version, anatomically correct, beer, bench, blushing, dock, drunk, exhibitionism, g4, go home you're drunk, looking at you, nipples, nudity, on back, open mouth, spread legs, spreading, table, tail, tiny teats, vulva, lying down, ear fluff, public nudity, legs in air, underhoof, casual nudity, dark genitals, frog \(hoof\), smiling, offscreen character, smiling at you, beer mug, alternate character, detailed, beautiful, <lora:RELSM_v1:0.8>, <lora:3D_Animation_Diffusion_Pony_style:0.2>, <lora:Fant5yP0ny:0.4>, <lora:CandyCuteStylePDXL:0.3>, <lora:Wholesome_MLP-v1.2>
Seed
1484303314
Size
1216x832
Model
pony_v6
Sampler
DPM++ 2S a
Steps
25
CFG scale
7.5
+
+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:RELSM_v1': '70d6b61eaa06', 'lora:Fant5yP0ny': 'a493698332df', 'lora:CandyCuteStylePDXL': '6bd51f4afb54', 'lora:Wholesome_MLP-v1.2': '712253bff3b4', 'lora:3D_Animation_Diffusion_Pony_style': 'e10b7fd1a42d'}
Version
f1.0.0-v1.10.1RC-latest-627-gc8ddacf0
Resources
[{'hash': '70d6b61eaa06', 'name': 'RELSM_v1', 'type': 'lora', 'weight': 0.8}, {'hash': 'e10b7fd1a42d', 'name': '3D_Animation_Diffusion_Pony_style', 'type': 'lora', 'weight': 0.2}, {'hash': 'a493698332df', 'name': 'Fant5yP0ny', 'type': 'lora', 'weight': 0.4}, {'hash': '6bd51f4afb54', 'name': 'CandyCuteStylePDXL', 'type': 'lora', 'weight': 0.3}, {'hash': '712253bff3b4', 'name': 'Wholesome_MLP-v1.2', 'type': 'lora'}, {'hash': '67ab2fd8ec', 'name': 'pony_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Schedule type
Uniform
Adetailer version
24.6.0
Adetailer model 2nd
horse_pussy_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint width 2nd
1024
Adetailer inpaint height 2nd
1024
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width height 2nd
True
+ \ No newline at end of file diff --git a/adetailer/adetailerHorsePussy_v10.json b/adetailer/adetailerHorsePussy_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..3de241683cd66f37a1c6e466e1fda93ed66d1328 --- /dev/null +++ b/adetailer/adetailerHorsePussy_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Horse pussy detection model for ADetailer.Put the model file into .../stable-diffusion-webui/models/adetailer", + "sd version": "Other", + "modelId": 608504, + "sha256": "2564351241F710400F43F8AC7FA895C21C76C461B22B91BFA830CE11169C71AD", + "unpackList": [ + "horse_pussy_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerHorsePussy_v10.preview.png b/adetailer/adetailerHorsePussy_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..3dee31510541aaaea890113b7a7e358386da9ace --- /dev/null +++ b/adetailer/adetailerHorsePussy_v10.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:17e15916cddeae78e2e37aa890fec30ca26f64bf82f9f93b13206f05fe49555b +size 2077795 diff --git a/adetailer/adetailerNipples_v10Segm.html b/adetailer/adetailerNipples_v10Segm.html new file mode 100644 index 0000000000000000000000000000000000000000..924a24f86afa5246c3aaae007a9a0aac37bed4d1 --- /dev/null +++ b/adetailer/adetailerNipples_v10Segm.html @@ -0,0 +1,178 @@ + + + + + + +
+

ADetailer Nipples model

+

Uploaded by nuko_masshigura

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+
+
Version
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v1.0 (segm)
+
Base Model
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Other
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Published
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2024-09-18
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Availability
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Public
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CivitAI Tags
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+
+ tool +
+
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Download Link
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https://civitai.com/api/download/models/863091
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+
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+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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+ +
+

Description

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This model detects nipples rather than breasts.

nipples_yolov8s-seg.pt (Segmentation)

Detects the edges of nipples and areolae.

nipples_yolov8s.pt (BBox)

Detects nipples with bounding box.

Usage:

  1. Put this model into ADetailer model folder. (in the case of AUTOMATIC1111 and Forge, "models/adetailer")

  2. Launch webui.

  3. Enable Adetailer and select this model.

  4. Adjust threshold, denoising and padding as needed.

ADetailer configuration sample:

The recommended values vary depending on the model, character orientation, and breast size.

Detection model confidence threshold

0.3-0.5

Inpaint mask blur

8-16

Inpaint denoising strength

0.3-0.4

Inpaint only masked padding, pixels

48-96

Notes:

  • BBox model was trained with anime images only, so use for realistic images is not supported.

  • Segmentation model was trained with anime and realistic images.

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Prompt
score_9, score_8_up, score_7_up, source_anime, BREAK +1girl, black hair, large breasts, topless, blue eyes, white panties, embarrassed, indoors, looking at viewer, sitting, on bed,
Negative prompt
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, source_pony, source_furry, source_cartoon, video, source_filmmaker, 1boy,
Seed
1726643800
Size
832x1216
Model
catloaf_v10
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
7
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Vae
sdxl.vae.safetensors
Hashes
{'vae': '9d65a7d086', 'model': '5e593741ab'}
Version
f0.0.17v1.8.0rc-latest-270-g96e3f778
Clipskip
2
Mask blur
8
Resources
[{'hash': '5e593741ab', 'name': 'catloaf_v10', 'type': 'model'}]
Model hash
5e593741ab
Inpaint area
Only masked
Adetailer model
nipples-yolov8s-seg.pt
Adetailer version
24.1.2
Denoising strength
0.0
Adetailer mask blur
8
Masked area padding
48
Adetailer confidence
0.4
Adetailer dilate erode
4
Adetailer inpaint padding
48
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, BREAK +1girl, black hair, long hair, large breasts, topless, nipples, black eyes, white panties, embarrassed, indoors, looking at viewer, sitting, on bed, solo, looking at viewer,
Negative prompt
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, source_pony, source_furry, source_cartoon, video, source_filmmaker, 1boy,
Seed
1467351745
Size
832x1216
Model
catdash_v10
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
7
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Vae
sdxl.vae.safetensors
Hashes
{'vae': '9d65a7d086', 'model': 'af972649ab'}
Version
f0.0.17v1.8.0rc-latest-270-g96e3f778
Clipskip
2
Mask blur
12
Resources
[{'hash': 'af972649ab', 'name': 'catdash_v10', 'type': 'model'}]
Model hash
af972649ab
Inpaint area
Only masked
Adetailer model
nipples-yolov8s-seg.pt
Adetailer version
24.1.2
Denoising strength
0.0
Adetailer mask blur
12
Masked area padding
96
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
96
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, source_anime, BREAK +1girl, black hair, large breasts, topless, nipples, blue eyes, white panties, embarrassed, indoors, looking at viewer, sitting, on bed,
Negative prompt
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, source_pony, source_furry, source_cartoon, video, source_filmmaker, 1boy,
Seed
3367688251
Size
832x1216
Model
catloaf_v10
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
7
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Vae
sdxl.vae.safetensors
Hashes
{'vae': '9d65a7d086', 'model': '5e593741ab'}
Version
f0.0.17v1.8.0rc-latest-270-g96e3f778
Clipskip
2
Mask blur
8
Resources
[{'hash': '5e593741ab', 'name': 'catloaf_v10', 'type': 'model'}]
Model hash
5e593741ab
Inpaint area
Only masked
Adetailer model
nipples-yolov8s-seg.pt
Adetailer version
24.1.2
Denoising strength
0.0
Adetailer mask blur
8
Masked area padding
48
Adetailer confidence
0.4
Adetailer dilate erode
4
Adetailer inpaint padding
48
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, BREAK +1girl, black hair, large breasts, topless, nipples, black eyes, white panties, embarrassed, indoors, looking at viewer, sitting, on bed, solo, from side,
Negative prompt
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, source_pony, source_furry, source_cartoon, video, source_filmmaker, 1boy,
Seed
3487542805
Size
832x1216
Model
waiREALMIX_v90
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
7
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Vae
sdxl.vae.safetensors
Hashes
{'vae': '9d65a7d086', 'model': 'b8d70d1d91'}
Version
f0.0.17v1.8.0rc-latest-270-g96e3f778
Clipskip
2
Mask blur
8
Resources
[{'hash': 'b8d70d1d91', 'name': 'waiREALMIX_v90', 'type': 'model'}]
Model hash
b8d70d1d91
Inpaint area
Only masked
Adetailer model
nipples-yolov8s-seg.pt
Adetailer version
24.1.2
Denoising strength
0.0
Adetailer mask blur
8
Masked area padding
48
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
48
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, BREAK +1girl, black hair, smll breasts, topless, nipples, black eyes, white panties, embarrassed, indoors, looking at viewer, sitting, on bed, solo, looking at viewer,
Negative prompt
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, source_pony, source_furry, source_cartoon, video, source_filmmaker, 1boy,
Seed
741230954
Size
832x1216
Model
waiREALMIX_v90
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
7
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Vae
sdxl.vae.safetensors
Hashes
{'vae': '9d65a7d086', 'model': 'b8d70d1d91'}
Version
f0.0.17v1.8.0rc-latest-270-g96e3f778
Clipskip
2
Mask blur
8
Resources
[{'hash': 'b8d70d1d91', 'name': 'waiREALMIX_v90', 'type': 'model'}]
Model hash
b8d70d1d91
Inpaint area
Only masked
Adetailer model
nipples-yolov8s-seg.pt
Adetailer version
24.1.2
Denoising strength
0.0
Adetailer mask blur
8
Masked area padding
48
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
48
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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+ \ No newline at end of file diff --git a/adetailer/adetailerNipples_v10Segm.json b/adetailer/adetailerNipples_v10Segm.json new file mode 100644 index 0000000000000000000000000000000000000000..be12b58d30e178a9e408e270b04a9ac78acf1d97 --- /dev/null +++ b/adetailer/adetailerNipples_v10Segm.json @@ -0,0 +1,11 @@ +{ + "activation text": "", + "description": "This model detects nipples rather than breasts.nipples_yolov8s-seg.pt (Segmentation)Detects the edges of nipples and areolae.nipples_yolov8s.pt (BBox)Detects nipples with bounding box.Usage:Put this model into ADetailer model folder. (in the case of AUTOMATIC1111 and Forge, \"models/adetailer\")Launch webui.Enable Adetailer and select this model.Adjust threshold, denoising and padding as needed.ADetailer configuration sample:The recommended values vary depending on the model, character orientation, and breast size.Detection model confidence threshold0.3-0.5Inpaint mask blur8-16Inpaint denoising strength0.3-0.4Inpaint only masked padding, pixels48-96Notes:BBox model was trained with anime images only, so use for realistic images is not supported.Segmentation model was trained with anime and realistic images.", + "sd version": "Other", + "modelId": 490259, + "sha256": "8F63DD8315E5FE5A76FC517177B3C5B71B68F87FC61BCB778B1E8E7C3473D215", + "unpackList": [ + "comfyui_nipples_yolov8s-seg_sample.json", + "nipples_yolov8s-seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerNipples_v10Segm.preview.png b/adetailer/adetailerNipples_v10Segm.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..de529fd49c27331b9366e2bf873113b2972ae455 Binary files /dev/null and b/adetailer/adetailerNipples_v10Segm.preview.png differ diff --git a/adetailer/adetailerPregnantBelly_v10NanoSeg.html b/adetailer/adetailerPregnantBelly_v10NanoSeg.html new file mode 100644 index 0000000000000000000000000000000000000000..3698fcc37a1b3c5de58cc295b4646e44d315c5e5 --- /dev/null +++ b/adetailer/adetailerPregnantBelly_v10NanoSeg.html @@ -0,0 +1,91 @@ + + + + + + +
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ADetailer Pregnant Belly (Realistic, furry, anime)

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Uploaded by septagon

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Version
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v1.0 nano (seg)
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Base Model
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Other
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Published
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2024-06-25
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Availability
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Public
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CivitAI Tags
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+ animerealistictooladetailersegmentationyolov8 +
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Download Link
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https://civitai.com/api/download/models/597896
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Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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Description

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A basic image segmentation model (Yolo-v8) trained on around 200 images. Has some benefits over the kind of model that uses bounding boxes (The squares you see during generation) since it only inpaints the target area (belly). Trained primarily on realistic images, but can do furry / anime too. Sometimes it will recognize round things as bellies, but otherwise works well enough.

Instructions:

Unzip the archive and place the .pt in the /models/adetailer directory of your install


If it isn't working go to your stable diffusion folder and try:

venv\Scripts\activate 
pip install --upgrade ultralytics

Note this is for windows, if you are on linux I trust you already fixed this

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+ \ No newline at end of file diff --git a/adetailer/adetailerPregnantBelly_v10NanoSeg.json b/adetailer/adetailerPregnantBelly_v10NanoSeg.json new file mode 100644 index 0000000000000000000000000000000000000000..ee0aa3d4fcdf9dae39c57ee61a4403ee16656b48 --- /dev/null +++ b/adetailer/adetailerPregnantBelly_v10NanoSeg.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "A basic image segmentation model (Yolo-v8) trained on around 200 images. Has some benefits over the kind of model that uses bounding boxes (The squares you see during generation) since it only inpaints the target area (belly). Trained primarily on realistic images, but can do furry / anime too. Sometimes it will recognize round things as bellies, but otherwise works well enough.Instructions:Unzip the archive and place the .pt in the /models/adetailer directory of your installIf it isn't working go to your stable diffusion folder and try:venv\\Scripts\\activate pip install --upgrade ultralytics Note this is for windows, if you are on linux I trust you already fixed this", + "sd version": "Other", + "modelId": 537813, + "sha256": "996ADEAEC84E908694DB13962CCAC5706C80AACB935821FBDA04EDE70D6F784F", + "unpackList": [ + "belly-segV3.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerPregnantBelly_v10NanoSeg.preview.png b/adetailer/adetailerPregnantBelly_v10NanoSeg.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..21c1aeaca41a6cd1f457a8b61cc44e30b0d3f2b8 Binary files /dev/null and b/adetailer/adetailerPregnantBelly_v10NanoSeg.preview.png differ diff --git a/adetailer/adetailerVaginaPussy_v41.html b/adetailer/adetailerVaginaPussy_v41.html new file mode 100644 index 0000000000000000000000000000000000000000..558321766aa40b8a56eeb04e89889d69b3b7b56f --- /dev/null +++ b/adetailer/adetailerVaginaPussy_v41.html @@ -0,0 +1,91 @@ + + + + + + +
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ADetailer Vagina / Pussy Model

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Uploaded by Jellon

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Version
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v4.1
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Base Model
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Other
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Published
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2024-05-04
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Availability
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Public
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CivitAI Tags
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+ vulvavaginatoolnsfwadetailerfemale genitalia +
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+
Download Link
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https://civitai.com/api/download/models/484684
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+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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+
+
+ +
+

Description

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Put the model under models/adetailer

Only tested with realistic and semi-realistic images. There is no anime / cartoon images in the training data.

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+ \ No newline at end of file diff --git a/adetailer/adetailerVaginaPussy_v41.json b/adetailer/adetailerVaginaPussy_v41.json new file mode 100644 index 0000000000000000000000000000000000000000..830e0994f154f8f835c90fa9b04b04ba417336f8 --- /dev/null +++ b/adetailer/adetailerVaginaPussy_v41.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Put the model under models/adetailerOnly tested with realistic and semi-realistic images. There is no anime / cartoon images in the training data.", + "sd version": "Other", + "modelId": 150872, + "sha256": "F4B30D5703B00687215D089203DE2CB67494A62189CF678A8E1B5782535CE5CE", + "unpackList": [ + "vagina-v4.1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailerVaginaPussy_v41.preview.png b/adetailer/adetailerVaginaPussy_v41.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..06f8e3646c32ff4656eea953ff84fe651ae3513c Binary files /dev/null and b/adetailer/adetailerVaginaPussy_v41.preview.png differ diff --git a/adetailer/adetailer_v10.html b/adetailer/adetailer_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..0b0620cd6763bd1c245665f3091bedc5aafe03c8 --- /dev/null +++ b/adetailer/adetailer_v10.html @@ -0,0 +1,74 @@ + + + + + + +
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ADetailer HeelsDetection Y8m

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Uploaded by nobbikr

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+
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Version
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v1.0
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Base Model
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Other
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Published
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2024-07-11
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Availability
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Public
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CivitAI Tags
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+ clothesclothingshoesadetailerhighheel +
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+
Download Link
+
https://civitai.com/api/download/models/635425
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This is a Model Trained on High heels, and helps with the appearance.
This Model is based on the Yolov8m Model, and trained on around 500 Images. I'm interested how everyone can use the model. In Adetailer you should play around with denoising strength, as the standard setting doesn't do much. Just unpack the zip an throw it into the Model\Adetailer Folder and Restart your ui. It should then appear in the adetailer dropdown menu

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Prompt
hyperdetailed photography, soft light, subtle skin imperfections, photo, woman wearing high heels, foot focus, Skin Textures, High Resolution, High-Resolution Image, Cinematic, full length portrait, subsurface scattering, beautiful eyes, absurdres, perfect lighting, very aesthetic, rating explicit, photo screencap, realistic coloring, hi res, absurdres, night sky, nebula, star constellation, aphrodite, spectacular, halo, galaxy, galactic scale, godrays, halo, female silhouette,
Negative prompt
asymmetrical_footwear, undressed, nsfw, cramped, bad furniture, cluttered, tight_space, ultrarealistic
Seed
130696357
Size
968x1280
Model
bluePencilXL_v700
Sampler
DPM++ 3M SDE
Steps
60
CFG scale
6
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Rng
NV
Vae
madebyollin-sdxl-vae-fp16-fix.safetensors
Hashes
{'vae': '63aeecb90f', 'model': 'cff5a50dde'}
Version
v1.9.4
Clipskip
2
Mask blur
4
Resources
[{'name': 'artstyle', 'type': 'lora', 'weight': 1}, {'hash': 'cff5a50dde', 'name': 'bluePencilXL_v700', 'type': 'model'}]
Fp8 weight
Enable for SDXL
Model hash
cff5a50dde
Vae decoder
TAESD
Vae encoder
TAESD
Hypertile vae
True
Schedule type
Karras
Hypertile u-net
True
Adetailer version
24.6.0
Denoising strength
0.5
Adetailer model 4th
HeelsDetection Y8m.pt
Token merging ratio
0.1
Adetailer prompt 4th
{}
Adetailer mask blur 4th
4
Adetailer confidence 4th
0.3
Adetailer dilate erode 4th
4
Cache fp16 weight for lora
True
Adetailer inpaint padding 4th
32
Adetailer denoising strength 4th
0.6
Adetailer inpaint only masked 4th
True
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Prompt
1girl, back bow, black hair, blue sailor collar, boots, bow, choker, earrings, elbow gloves, full body, gloves, hand on hip, high heels, hino rei, jewelry, knee boots, long hair, magical girl, red choker, red sailor collar, red skirt, sailor collar, sailor mars, sailor senshi uniform, skirt, solo, star \(symbol\), tiara, white background, white gloves
Negative prompt
low quality, blurry, pixelated, low resolution, dull colors, poor lighting, flat composition, simplistic, cartoonish, grainy, overexposed, underexposed, rough edges, low detail, anime, face smudges, squinting, painting, cgi, bad composition, bad art, flat colors, resolution_mismatch, disfigured +
Seed
3114522683
Sampler
DPM++ 2M SDE
Steps
35
CFG scale
5
+ \ No newline at end of file diff --git a/adetailer/adetailer_v10.json b/adetailer/adetailer_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..c9b60d13754c147be66aa7dc85ecf00c550f604c --- /dev/null +++ b/adetailer/adetailer_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This is a Model Trained on High heels, and helps with the appearance. This Model is based on the Yolov8m Model, and trained on around 500 Images. I'm interested how everyone can use the model. In Adetailer you should play around with denoising strength, as the standard setting doesn't do much. Just unpack the zip an throw it into the Model\\Adetailer Folder and Restart your ui. It should then appear in the adetailer dropdown menu", + "sd version": "Other", + "modelId": 570087, + "sha256": "2E6F84AFD6B517AB6DE71288144995C6CEDBD1AB4CC808B2AEF317679DE4C5E3", + "unpackList": [ + "HeelsDetect Y8m.pt" + ] +} \ No newline at end of file diff --git a/adetailer/adetailer_v10.preview.png b/adetailer/adetailer_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..d9b19b61e411d8ccae19025b86875e13c7d02e5a Binary files /dev/null and b/adetailer/adetailer_v10.preview.png differ diff --git a/adetailer/adetailers_facef.html b/adetailer/adetailers_facef.html new file mode 100644 index 0000000000000000000000000000000000000000..0d1b916031631011c09e8af9ea3adf3ed2f3d944 --- /dev/null +++ b/adetailer/adetailers_facef.html @@ -0,0 +1,51 @@ + + + + + + +
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Adetailers

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Uploaded by Mrskel4

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+
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Version
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FaceF
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Base Model
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SD 1.5
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Published
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2024-07-11
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Availability
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Public
+
CivitAI Tags
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+
+ tool +
+
+
Download Link
+
https://civitai.com/api/download/models/597560
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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+
+ +
+

Description

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Adetailers for users who use openart web comfy ui

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+ \ No newline at end of file diff --git a/adetailer/adetailers_facef.json b/adetailer/adetailers_facef.json new file mode 100644 index 0000000000000000000000000000000000000000..5fe869fc85d6bf5e4d18940cf08d1ba4db7126dd --- /dev/null +++ b/adetailer/adetailers_facef.json @@ -0,0 +1,7 @@ +{ + "activation text": "", + "description": "Adetailers for users who use openart web comfy ui", + "sd version": "SD1", + "modelId": 537506, + "sha256": "E56C5E144B92E41057BEB2311EB6A79690B79D32853043C157EFFEADBE1B832E" +} \ No newline at end of file diff --git a/adetailer/adetailers_facef.preview.png b/adetailer/adetailers_facef.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..db1cde872ae171be226e2e31006639ba4b45158d Binary files /dev/null and b/adetailer/adetailers_facef.preview.png differ diff --git a/adetailer/adetailers_facef.pt b/adetailer/adetailers_facef.pt new file mode 100644 index 0000000000000000000000000000000000000000..52e721c6d0da1f7f81dc6a00bf05bd4103a6c853 --- /dev/null +++ b/adetailer/adetailers_facef.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e56c5e144b92e41057beb2311eb6a79690b79d32853043c157effeadbe1b832e +size 52044289 diff --git a/adetailer/animalEarDetection_v10.html b/adetailer/animalEarDetection_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..279785999fe36c9fd8823a9f88ebd8499a985122 --- /dev/null +++ b/adetailer/animalEarDetection_v10.html @@ -0,0 +1,93 @@ + + + + + + +
+

Animal Ear Detection (ADetailer)

+

Uploaded by Randanon

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2023-10-05
+
Availability
+
Public
+
CivitAI Tags
+
+
+ animetoolsegmentation +
+
+
Download Link
+
https://civitai.com/api/download/models/176512
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Place in \models\adetailer

touch fluffy ear

Animal Ear Segmentation model for use with ADetailer when you want to increase the fluff.

Inpainting works best when the subject isn't occupying a large portion of the image, which is when the ears are usually more blurry/less fluffy.

You mostly do not need this for close-up gens because ears do fine most of the time when they're huge.

Dataset includes

  • fox ears

  • cat ears

  • horse ears

  • trace amounts of dog/rabbit ears

For an easier comparison of image quality pre/post inpaint, see

https://imgsli.com/MjExNTc1 (SFW)

https://imgsli.com/MjExNTcx (SFW)

https://imgsli.com/MjExNTU5 (Mild NSFW)

Only trained and tested on 2D anime, not tested with realism.

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+ + + + +
+ +
+
Prompt
3girls, full body, fox ears, animal ear fluff, upper teeth, fangs
Negative prompt
EasyNegative, nsfw
Seed
47766353
Size
832x576
Model
LL_CuteYukiMixAdorable_midchapter
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': '89f496ddb6'}
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': '89f496ddb6', 'name': 'LL_CuteYukiMixAdorable_midchapter', 'type': 'model'}]
Model hash
89f496ddb6
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
animal_ears.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"animal ear fluff, fox ears"
Adetailer dilate/erode
32
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
576
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
576
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
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+
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+ + + +
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+ \ No newline at end of file diff --git a/adetailer/animalEarDetection_v10.json b/adetailer/animalEarDetection_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..f9d98764b2c17156891b4e8c46cea6a02d455462 --- /dev/null +++ b/adetailer/animalEarDetection_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Place in \\models\\adetailertouch fluffy earAnimal Ear Segmentation model for use with ADetailer when you want to increase the fluff.Inpainting works best when the subject isn't occupying a large portion of the image, which is when the ears are usually more blurry/less fluffy.You mostly do not need this for close-up gens because ears do fine most of the time when they're huge.Dataset includesfox earscat earshorse earstrace amounts of dog/rabbit earsFor an easier comparison of image quality pre/post inpaint, seehttps://imgsli.com/MjExNTc1 https://imgsli.com/MjExNTc1 (SFW)https://imgsli.com/MjExNTcx https://imgsli.com/MjExNTcx (SFW)https://imgsli.com/MjExNTU5 https://imgsli.com/MjExNTU5 (Mild NSFW)Only trained and tested on 2D anime, not tested with realism.", + "sd version": "Other", + "modelId": 157210, + "sha256": "CDD28788CCA0735F78A78E44BAACF457CBAC3BC114C6C47DD39EBF9C40F5A8A4", + "unpackList": [ + "animal_ears.pt" + ] +} \ No newline at end of file diff --git a/adetailer/animalEarDetection_v10.preview.png b/adetailer/animalEarDetection_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..e6d03e2c0f4ea4a7ad082de7b3f771f9b6f50ecc Binary files /dev/null and b/adetailer/animalEarDetection_v10.preview.png differ diff --git a/adetailer/animal_ears.pt b/adetailer/animal_ears.pt new file mode 100644 index 0000000000000000000000000000000000000000..df830746a5ee9f1c359e0ac60af71bd09dfafea1 --- /dev/null +++ b/adetailer/animal_ears.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1fc283a3d4607ba43c8b3012cdb08724e9bcb43f707ccf7449ed7a7e6a91c44 +size 6771000 diff --git a/adetailer/animeBraBikiniYoloModel_straplessSegV10.html b/adetailer/animeBraBikiniYoloModel_straplessSegV10.html new file mode 100644 index 0000000000000000000000000000000000000000..2c3fc5583460b6bc6493a7923f2dc308f00b2508 --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_straplessSegV10.html @@ -0,0 +1,73 @@ + + + + + + +
+

Anime Bra, Bikini yolo model (ADetailer)

+

Uploaded by Neko_elfman

+
+
+
Version
+
strapless-seg-v1.0
+
Base Model
+
Other
+
Published
+
2024-11-10
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tool +
+
+
Download Link
+
https://civitai.com/api/download/models/1046654
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This YOLO model detects "bra" and "bikini" available for ADetailer and others.

Only animated images are used for training and validation. I have not verified whether or not it works with photo-realistic images.

"anime_bra_strapless.pt" is a model that does not include the bra strap part.

"anime_bra.pt" is the model including the bra strap part.

A confidence threshold of about 0.5 is recommended for ADetailer.

---------------------------------------------------------------

ADetailer等で利用可能な「ブラジャー」や「ビキニ」を検出するYOLOモデルです。

学習と検証にはアニメ画像のみを使用しています。フォトリアルな画像での動作可否は確認していません。

anime_bra_strapless.pt はブラのストラップ部分を含まないモデル。

anime_bra.pt はブラのストラップ部分を含むモデルです。

ADetailerのconfidence thresholdは0.5程度を推奨します。

https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model

こちらの内容を参考に作成しました。分かりやすい説明に感謝!

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+ +
+
+
+
+ + + + +
+ +
+
Prompt
1girl, hatsune miku, +looking at viewer, jitome, +bikini, frilled bikini, +standing, arms behind back, leaning forward, +outdoors, ocean, horizon, beach, palm tree, sunlight, sky, cloud,
Seed
2970622713
Size
832x1216
Model
CatTower_v10
Sampler
Euler a
Steps
25
CFG scale
4
+
+
+ + +
+
Hashes
{'model': '41c63642e6'}
Version
v1.10.0-2-g82a973c0
Clipskip
2
Resources
[{'hash': '41c63642e6', 'name': 'CatTower_v10', 'type': 'model'}]
Model hash
41c63642e6
Time taken
12.8 sec.
Hardware info
{}
Schedule type
Automatic
Adetailer version
24.9.0
Adetailer model 2nd
anime_bra_strapless_seg_v08.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.75
Adetailer inpaint only masked 2nd
True
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/animeBraBikiniYoloModel_straplessSegV10.json b/adetailer/animeBraBikiniYoloModel_straplessSegV10.json new file mode 100644 index 0000000000000000000000000000000000000000..e30173d4e68f316a7bddc2a3ccfaece42a1eafeb --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_straplessSegV10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This YOLO model detects \"bra\" and \"bikini\" available for ADetailer and others.Only animated images are used for training and validation. I have not verified whether or not it works with photo-realistic images.\"anime_bra_strapless.pt http://strapless.pt\" is a model that does not include the bra strap part.\"anime_bra.pt http://bra.pt\" is the model including the bra strap part.A confidence threshold of about 0.5 is recommended for ADetailer.---------------------------------------------------------------ADetailer\u7b49\u3067\u5229\u7528\u53ef\u80fd\u306a\u300c\u30d6\u30e9\u30b8\u30e3\u30fc\u300d\u3084\u300c\u30d3\u30ad\u30cb\u300d\u3092\u691c\u51fa\u3059\u308bYOLO\u30e2\u30c7\u30eb\u3067\u3059\u3002\u5b66\u7fd2\u3068\u691c\u8a3c\u306b\u306f\u30a2\u30cb\u30e1\u753b\u50cf\u306e\u307f\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u30d5\u30a9\u30c8\u30ea\u30a2\u30eb\u306a\u753b\u50cf\u3067\u306e\u52d5\u4f5c\u53ef\u5426\u306f\u78ba\u8a8d\u3057\u3066\u3044\u307e\u305b\u3093\u3002anime_bra_strapless.pt http://strapless.pt \u306f\u30d6\u30e9\u306e\u30b9\u30c8\u30e9\u30c3\u30d7\u90e8\u5206\u3092\u542b\u307e\u306a\u3044\u30e2\u30c7\u30eb\u3002anime_bra.pt http://bra.pt \u306f\u30d6\u30e9\u306e\u30b9\u30c8\u30e9\u30c3\u30d7\u90e8\u5206\u3092\u542b\u3080\u30e2\u30c7\u30eb\u3067\u3059\u3002ADetailer\u306econfidence threshold\u306f0.5\u7a0b\u5ea6\u3092\u63a8\u5968\u3057\u307e\u3059\u3002https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model\u3053\u3061\u3089\u306e\u5185\u5bb9\u3092\u53c2\u8003\u306b\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002\u5206\u304b\u308a\u3084\u3059\u3044\u8aac\u660e\u306b\u611f\u8b1d!", + "sd version": "Other", + "modelId": 726468, + "sha256": "7DAC5B7DE926659D8FE656323321F8DB8B6DC50C48854850D4B2BB69CD28D77B", + "unpackList": [ + "anime_bra_strapless-seg_v10.pt" + ] +} \ No newline at end of file diff --git a/adetailer/animeBraBikiniYoloModel_straplessSegV10.preview.png b/adetailer/animeBraBikiniYoloModel_straplessSegV10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..a601cf41b692357cfc69697bc886e43f98d3a595 Binary files /dev/null and b/adetailer/animeBraBikiniYoloModel_straplessSegV10.preview.png differ diff --git a/adetailer/animeBraBikiniYoloModel_v10_726013.html b/adetailer/animeBraBikiniYoloModel_v10_726013.html new file mode 100644 index 0000000000000000000000000000000000000000..df5e9f3f6e809a6525e770edd63c9f3e1f96e137 --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_v10_726013.html @@ -0,0 +1,75 @@ + + + + + + +
+

Anime Bra, Bikini yolo model (ADetailer)

+

Uploaded by Neko_elfman

+
+
+
Version
+
v1.1
+
Base Model
+
Other
+
Published
+
2024-09-09
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tool +
+
+
Download Link
+
https://civitai.com/api/download/models/821798
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This YOLO model detects "bra" and "bikini" available for ADetailer and others.

Only animated images are used for training and validation. I have not verified whether or not it works with photo-realistic images.

"anime_bra_strapless.pt" is a model that does not include the bra strap part.

"anime_bra.pt" is the model including the bra strap part.

A confidence threshold of about 0.5 is recommended for ADetailer.

---------------------------------------------------------------

ADetailer等で利用可能な「ブラジャー」や「ビキニ」を検出するYOLOモデルです。

学習と検証にはアニメ画像のみを使用しています。フォトリアルな画像での動作可否は確認していません。

anime_bra_strapless.pt はブラのストラップ部分を含まないモデル。

anime_bra.pt はブラのストラップ部分を含むモデルです。

ADetailerのconfidence thresholdは0.5程度を推奨します。

https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model

こちらの内容を参考に作成しました。分かりやすい説明に感謝!

+
+ +
+
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/animeBraBikiniYoloModel_v10_726013.json b/adetailer/animeBraBikiniYoloModel_v10_726013.json new file mode 100644 index 0000000000000000000000000000000000000000..6cbef8609fe8e506867e353699595ac78a1d7c0f --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_v10_726013.json @@ -0,0 +1,12 @@ +{ + "activation text": "", + "description": "This YOLO model detects \"bra\" and \"bikini\" available for ADetailer and others.Only animated images are used for training and validation. I have not verified whether or not it works with photo-realistic images.\"anime_bra_strapless.pt http://strapless.pt\" is a model that does not include the bra strap part.\"anime_bra.pt http://bra.pt\" is the model including the bra strap part.A confidence threshold of about 0.5 is recommended for ADetailer.---------------------------------------------------------------ADetailer\u7b49\u3067\u5229\u7528\u53ef\u80fd\u306a\u300c\u30d6\u30e9\u30b8\u30e3\u30fc\u300d\u3084\u300c\u30d3\u30ad\u30cb\u300d\u3092\u691c\u51fa\u3059\u308bYOLO\u30e2\u30c7\u30eb\u3067\u3059\u3002\u5b66\u7fd2\u3068\u691c\u8a3c\u306b\u306f\u30a2\u30cb\u30e1\u753b\u50cf\u306e\u307f\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u30d5\u30a9\u30c8\u30ea\u30a2\u30eb\u306a\u753b\u50cf\u3067\u306e\u52d5\u4f5c\u53ef\u5426\u306f\u78ba\u8a8d\u3057\u3066\u3044\u307e\u305b\u3093\u3002anime_bra_strapless.pt http://strapless.pt \u306f\u30d6\u30e9\u306e\u30b9\u30c8\u30e9\u30c3\u30d7\u90e8\u5206\u3092\u542b\u307e\u306a\u3044\u30e2\u30c7\u30eb\u3002anime_bra.pt http://bra.pt \u306f\u30d6\u30e9\u306e\u30b9\u30c8\u30e9\u30c3\u30d7\u90e8\u5206\u3092\u542b\u3080\u30e2\u30c7\u30eb\u3067\u3059\u3002ADetailer\u306econfidence threshold\u306f0.5\u7a0b\u5ea6\u3092\u63a8\u5968\u3057\u307e\u3059\u3002https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model\u3053\u3061\u3089\u306e\u5185\u5bb9\u3092\u53c2\u8003\u306b\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002\u5206\u304b\u308a\u3084\u3059\u3044\u8aac\u660e\u306b\u611f\u8b1d!", + "sd version": "Other", + "modelId": 726468, + "sha256": "48A4708D61D46E319AB1F0FD7746063F0AFE9BFBC85BC08D0E03F005AF4BD61E", + "unpackList": [ + "anime_bra/", + "anime_bra/anime_bra_strapless_v10.pt", + "anime_bra/anime_bra_v10.pt" + ] +} \ No newline at end of file diff --git a/adetailer/animeBraBikiniYoloModel_v10_726013.preview.png b/adetailer/animeBraBikiniYoloModel_v10_726013.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..04731f38f34e8c28fd8498b2a2a43f9591573db0 Binary files /dev/null and b/adetailer/animeBraBikiniYoloModel_v10_726013.preview.png differ diff --git a/adetailer/animeBraBikiniYoloModel_v11/anime_bra_strapless_v11.pt b/adetailer/animeBraBikiniYoloModel_v11/anime_bra_strapless_v11.pt new file mode 100644 index 0000000000000000000000000000000000000000..902bb2da95143297e69a77ab2a3c3cbd06d2f057 --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_v11/anime_bra_strapless_v11.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99711294b4e755d66b24809de06db8618b0d6aa9c2dd4626594ae08ed61d459d +size 6371427 diff --git a/adetailer/animeBraBikiniYoloModel_v11/anime_bra_v11.pt b/adetailer/animeBraBikiniYoloModel_v11/anime_bra_v11.pt new file mode 100644 index 0000000000000000000000000000000000000000..0b32bb242e211befef5997bb92b5adbde01110c2 --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_v11/anime_bra_v11.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:30fe9cb45bdffaa038a73bc0cd4dc6cb490f7c1c6e4acc19540ea19b967c18f2 +size 6373091 diff --git a/adetailer/animeBraBikiniYoloModel_v11_735692.html b/adetailer/animeBraBikiniYoloModel_v11_735692.html new file mode 100644 index 0000000000000000000000000000000000000000..2c3fc5583460b6bc6493a7923f2dc308f00b2508 --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_v11_735692.html @@ -0,0 +1,73 @@ + + + + + + +
+

Anime Bra, Bikini yolo model (ADetailer)

+

Uploaded by Neko_elfman

+
+
+
Version
+
strapless-seg-v1.0
+
Base Model
+
Other
+
Published
+
2024-11-10
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tool +
+
+
Download Link
+
https://civitai.com/api/download/models/1046654
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This YOLO model detects "bra" and "bikini" available for ADetailer and others.

Only animated images are used for training and validation. I have not verified whether or not it works with photo-realistic images.

"anime_bra_strapless.pt" is a model that does not include the bra strap part.

"anime_bra.pt" is the model including the bra strap part.

A confidence threshold of about 0.5 is recommended for ADetailer.

---------------------------------------------------------------

ADetailer等で利用可能な「ブラジャー」や「ビキニ」を検出するYOLOモデルです。

学習と検証にはアニメ画像のみを使用しています。フォトリアルな画像での動作可否は確認していません。

anime_bra_strapless.pt はブラのストラップ部分を含まないモデル。

anime_bra.pt はブラのストラップ部分を含むモデルです。

ADetailerのconfidence thresholdは0.5程度を推奨します。

https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model

こちらの内容を参考に作成しました。分かりやすい説明に感謝!

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Prompt
1girl, hatsune miku, +looking at viewer, jitome, +bikini, frilled bikini, +standing, arms behind back, leaning forward, +outdoors, ocean, horizon, beach, palm tree, sunlight, sky, cloud,
Seed
2970622713
Size
832x1216
Model
CatTower_v10
Sampler
Euler a
Steps
25
CFG scale
4
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Hashes
{'model': '41c63642e6'}
Version
v1.10.0-2-g82a973c0
Clipskip
2
Resources
[{'hash': '41c63642e6', 'name': 'CatTower_v10', 'type': 'model'}]
Model hash
41c63642e6
Time taken
12.8 sec.
Hardware info
{}
Schedule type
Automatic
Adetailer version
24.9.0
Adetailer model 2nd
anime_bra_strapless_seg_v08.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.75
Adetailer inpaint only masked 2nd
True
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+ \ No newline at end of file diff --git a/adetailer/animeBraBikiniYoloModel_v11_735692.json b/adetailer/animeBraBikiniYoloModel_v11_735692.json new file mode 100644 index 0000000000000000000000000000000000000000..64ae1c35594007c3c9e59861cbb692677b377b88 --- /dev/null +++ b/adetailer/animeBraBikiniYoloModel_v11_735692.json @@ -0,0 +1,12 @@ +{ + "activation text": "", + "description": "This YOLO model detects \"bra\" and \"bikini\" available for ADetailer and others.Only animated images are used for training and validation. I have not verified whether or not it works with photo-realistic images.\"anime_bra_strapless.pt http://strapless.pt\" is a model that does not include the bra strap part.\"anime_bra.pt http://bra.pt\" is the model including the bra strap part.A confidence threshold of about 0.5 is recommended for ADetailer.---------------------------------------------------------------ADetailer\u7b49\u3067\u5229\u7528\u53ef\u80fd\u306a\u300c\u30d6\u30e9\u30b8\u30e3\u30fc\u300d\u3084\u300c\u30d3\u30ad\u30cb\u300d\u3092\u691c\u51fa\u3059\u308bYOLO\u30e2\u30c7\u30eb\u3067\u3059\u3002\u5b66\u7fd2\u3068\u691c\u8a3c\u306b\u306f\u30a2\u30cb\u30e1\u753b\u50cf\u306e\u307f\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u30d5\u30a9\u30c8\u30ea\u30a2\u30eb\u306a\u753b\u50cf\u3067\u306e\u52d5\u4f5c\u53ef\u5426\u306f\u78ba\u8a8d\u3057\u3066\u3044\u307e\u305b\u3093\u3002anime_bra_strapless.pt http://strapless.pt \u306f\u30d6\u30e9\u306e\u30b9\u30c8\u30e9\u30c3\u30d7\u90e8\u5206\u3092\u542b\u307e\u306a\u3044\u30e2\u30c7\u30eb\u3002anime_bra.pt http://bra.pt \u306f\u30d6\u30e9\u306e\u30b9\u30c8\u30e9\u30c3\u30d7\u90e8\u5206\u3092\u542b\u3080\u30e2\u30c7\u30eb\u3067\u3059\u3002ADetailer\u306econfidence threshold\u306f0.5\u7a0b\u5ea6\u3092\u63a8\u5968\u3057\u307e\u3059\u3002https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model https://civitai.com/models/300228/board-detector-yolo-model-for-cant-show-this-meme-sdxl-adetailer-model\u3053\u3061\u3089\u306e\u5185\u5bb9\u3092\u53c2\u8003\u306b\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002\u5206\u304b\u308a\u3084\u3059\u3044\u8aac\u660e\u306b\u611f\u8b1d!", + "sd version": "Other", + "modelId": 726468, + "sha256": "14B31CEB4813B71B6BEAE1BF30B5929921E50C2D1DDBD016DA5B94F8B969538B", + "unpackList": [ + "animeBraBikiniYoloModel_v11/", + "animeBraBikiniYoloModel_v11/anime_bra_strapless_v11.pt", + "animeBraBikiniYoloModel_v11/anime_bra_v11.pt" + ] +} \ No newline at end of file diff --git a/adetailer/animeBraBikiniYoloModel_v11_735692.preview.png b/adetailer/animeBraBikiniYoloModel_v11_735692.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..e10bc304c27fab4a2ff4a6b13f418f9602c38cb1 Binary files /dev/null and b/adetailer/animeBraBikiniYoloModel_v11_735692.preview.png differ diff --git a/adetailer/animePussyYOLO_v3.html b/adetailer/animePussyYOLO_v3.html new file mode 100644 index 0000000000000000000000000000000000000000..0e86d34f209d6527979229d59985a033547be263 --- /dev/null +++ b/adetailer/animePussyYOLO_v3.html @@ -0,0 +1,245 @@ + + + + + + +
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Anime Pussy YOLO (Adetailer)

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Uploaded by WRATHGODDESS

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Version
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v3
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Base Model
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Other
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Published
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2024-10-13
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Availability
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Public
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CivitAI Tags
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+ animetool +
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Download Link
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https://civitai.com/api/download/models/949872
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Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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Description

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Use for (Adetailer) to upscale anime pussy, trained with 1151 Total Images of mainly

Cleft of Venus there are some other types mixed in some vaginal

  • folder \models\adetailer\

  • \ComfyUI\models\ultralytics\bbox\

V3: now with cameltoe detection!

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Prompt
score_9, score_8_up, score_7_up, source_anime, (ihz:1.4), (saz:1.4), cowboy shot, from behind, +1girl, long hair, long eyelashes, looking at viewer, light smile, detailed skin texture, (blush:0.2), (goosebumps:0.3), subsurface scattering, +(wide hips:1.3), (thigh gap:1.2), medium breasts, cleft of venus, pussy juice, ass, spread ass, cameltoe, panties, +indoors, sophisticated, high-end, luxurious, highly detailed, +Vector art, Vivid colors, Clean lines, Sharp edges, Minimalist, Precise geometry, Simplistic, Smooth curves, Bold outlines, Crisp shapes, Illustration art piece, High contrast shadows, Technical illustration, Graphic design, Vector graphics, High contrast, Precision artwork, Linear compositions, Scalable artwork, Digital art
Negative prompt
Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1217650574
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M SDE
Steps
20
CFG scale
3
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+
+ + +
+
Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Hires upscale
1.4
Schedule type
Align Your Steps
Hires upscaler
4x-UltraSharp
Adetailer model
AnimePussyCameltoe-best.pt
Adetailer prompt
{}
Adetailer version
24.8.0
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.24
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, source_anime, (ihz:1.4), (saz:1.4), cowboy shot, from behind, +1girl, long hair, long eyelashes, looking at viewer, light smile, detailed skin texture, (blush:0.2), (goosebumps:0.3), subsurface scattering, +(wide hips:1.3), (thigh gap:1.2), medium breasts, cleft of venus, pussy juice, ass, spread ass, cameltoe, panties, +indoors, sophisticated, high-end, luxurious, highly detailed, +Vector art, Vivid colors, Clean lines, Sharp edges, Minimalist, Precise geometry, Simplistic, Smooth curves, Bold outlines, Crisp shapes, Illustration art piece, High contrast shadows, Technical illustration, Graphic design, Vector graphics, High contrast, Precision artwork, Linear compositions, Scalable artwork, Digital art
Negative prompt
Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1217650574
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M SDE
Steps
20
CFG scale
3
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+ + +
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Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Hires upscale
1.4
Schedule type
Align Your Steps
Hires upscaler
4x-UltraSharp
Adetailer model
AnimePussyCameltoe-best.pt
Adetailer prompt
{}
Adetailer version
24.8.0
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.24
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, source_anime, (ihz:1.4), (saz:1.4), cowboy shot, from behind, +1girl, long hair, long eyelashes, looking at viewer, light smile, detailed skin texture, (blush:0.2), (goosebumps:0.3), subsurface scattering, +(wide hips:1.3), (thigh gap:1.2), medium breasts, completely nude, cleft of venus, pussy juice, ass, spread ass, +indoors, sophisticated, high-end, luxurious, highly detailed, +Vector art, Vivid colors, Clean lines, Sharp edges, Minimalist, Precise geometry, Simplistic, Smooth curves, Bold outlines, Crisp shapes, Illustration art piece, High contrast shadows, Technical illustration, Graphic design, Vector graphics, High contrast, Precision artwork, Linear compositions, Scalable artwork, Digital art
Negative prompt
Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1217650574
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M SDE
Steps
20
CFG scale
3
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Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Hires upscale
1.4
Schedule type
Align Your Steps
Hires upscaler
4x-UltraSharp
Adetailer model
AnimePussyCameltoe-best.pt
Adetailer prompt
{}
Adetailer version
24.8.0
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.24
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, source_anime, (ihz:1.4), (saz:1.4), cowboy shot, from behind, +1girl, long hair, long eyelashes, looking at viewer, light smile, detailed skin texture, (blush:0.2), (goosebumps:0.3), subsurface scattering, +(wide hips:1.3), (thigh gap:1.2), medium breasts, cleft of venus, pussy juice, ass, spread ass, cameltoe, panties, +indoors, sophisticated, high-end, luxurious, highly detailed, +Vector art, Vivid colors, Clean lines, Sharp edges, Minimalist, Precise geometry, Simplistic, Smooth curves, Bold outlines, Crisp shapes, Illustration art piece, High contrast shadows, Technical illustration, Graphic design, Vector graphics, High contrast, Precision artwork, Linear compositions, Scalable artwork, Digital art
Negative prompt
Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1731333179
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M SDE
Steps
20
CFG scale
3
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+
+ + +
+
Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Schedule type
Align Your Steps
Adetailer model
AnimePussyCameltoe-best.pt
Adetailer prompt
{}
Adetailer version
24.8.0
Adetailer mask blur
4
Adetailer confidence
0.24
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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Prompt
score_9, score_8_up, score_7_up, source_anime, (ihz:1.4), (saz:1.4), cowboy shot, from behind, +1girl, long hair, long eyelashes, looking at viewer, light smile, detailed skin texture, (blush:0.2), (goosebumps:0.3), subsurface scattering, +(wide hips:1.3), (thigh gap:1.2), medium breasts, cleft of venus, pussy juice, ass, spread ass, cameltoe, panties, +indoors, sophisticated, high-end, luxurious, highly detailed, +Vector art, Vivid colors, Clean lines, Sharp edges, Minimalist, Precise geometry, Simplistic, Smooth curves, Bold outlines, Crisp shapes, Illustration art piece, High contrast shadows, Technical illustration, Graphic design, Vector graphics, High contrast, Precision artwork, Linear compositions, Scalable artwork, Digital art
Negative prompt
Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fused hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, missing fingers, fused fingers, abnormal eye proportion, Abnormal hands, abnormal legs, abnormal feet, abnormal fingers
Seed
1731333179
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M SDE
Steps
20
CFG scale
3
+
+
+ + +
+
Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Schedule type
Align Your Steps
Adetailer model
AnimePussyCameltoe-best.pt
Adetailer prompt
{}
Adetailer version
24.8.0
Adetailer mask blur
4
Adetailer confidence
0.24
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
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+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, source_anime, (saz:1.4), (lia:1.4), +1girl, long hair, long eyelashes, streaked hair, looking at viewer, smug, floppy ears, +slim, wide hips, skirt, pantyhose, no panties under pantyhose, cleft of venus, hand on own thigh, +standing, indoors
Negative prompt
(censored:1.4), (mosaic censoring:1.4), bar censor, border, worst quality, low quality, normal quality, messy drawing, amateur drawing, simple background, white background, sketch, jpeg artifacts, blurry, lowres, bad anatomy, bad hands, text, speech bubble, error, missing fingers, fewer digits, extra digits, cropped, multiple boys, young boy, old man, fatman, multicolored hair, stomach bulge, pregnant, greyscale, monochrome, source_furry, source_cartoon, comic, source filmmaker, video, 3d, penis, fellatio, crotch seam
Seed
2641390987
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M
Steps
20
CFG scale
6
+
+
+ + +
+
Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Detail daemon
{'ed': '0.8', 'st': '0.28', 'exp': '1', 'bias': '0.5', 'fade': '0', 'mode': 'uncond', 'amount': '0.28', 'smooth': '1', 'ed_offset': '0', 'st_offset': '0'}
Hires upscale
1.4
Schedule type
Karras
Hires upscaler
4x-UltraSharp
Adetailer version
24.8.0
Denoising strength
0.4
Adetailer model 2nd
AnimePussyCameltoe-best.pt
Adetailer prompt 2nd
{}
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.4
Adetailer dilate erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
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Prompt
score_9, score_8_up, score_7_up, source_anime, (saz:1.4), (lia:1.4), +1girl, long hair, long eyelashes, streaked hair, looking at viewer, smug, floppy ears, +slim, wide hips, skirt, pantyhose, no panties under pantyhose, cleft of venus, hand on own thigh, +standing, indoors
Negative prompt
(censored:1.4), (mosaic censoring:1.4), bar censor, border, worst quality, low quality, normal quality, messy drawing, amateur drawing, simple background, white background, sketch, jpeg artifacts, blurry, lowres, bad anatomy, bad hands, text, speech bubble, error, missing fingers, fewer digits, extra digits, cropped, multiple boys, young boy, old man, fatman, multicolored hair, stomach bulge, pregnant, greyscale, monochrome, source_furry, source_cartoon, comic, source filmmaker, video, 3d, penis, fellatio, crotch seam
Seed
2641390987
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M
Steps
20
CFG scale
6
+
+
+ + +
+
Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Detail daemon
{'ed': '0.8', 'st': '0.28', 'exp': '1', 'bias': '0.5', 'fade': '0', 'mode': 'uncond', 'amount': '0.28', 'smooth': '1', 'ed_offset': '0', 'st_offset': '0'}
Hires upscale
1.4
Schedule type
Karras
Hires upscaler
4x-UltraSharp
Adetailer version
24.8.0
Denoising strength
0.4
Adetailer model 2nd
AnimePussyCameltoe-best.pt
Adetailer prompt 2nd
{}
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.4
Adetailer dilate erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, source_anime, (saz:1.4), (lia:1.4), +1girl, long hair, long eyelashes, streaked hair, looking at viewer, smug, floppy ears, +slim, wide hips, skirt, pantyhose, no panties under pantyhose, cleft of venus, hand on own thigh, torn legwear, pussy, crotch cutout, +standing, indoors
Negative prompt
(censored:1.4), (mosaic censoring:1.4), bar censor, border, worst quality, low quality, normal quality, messy drawing, amateur drawing, simple background, white background, sketch, jpeg artifacts, blurry, lowres, bad anatomy, bad hands, text, speech bubble, error, missing fingers, fewer digits, extra digits, cropped, multiple boys, young boy, old man, fatman, multicolored hair, stomach bulge, pregnant, greyscale, monochrome, source_furry, source_cartoon, comic, source filmmaker, video, 3d, penis, fellatio, crotch seam
Seed
3409168276
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M
Steps
20
CFG scale
6
+
+
+ + +
+
Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Detail daemon
{'ed': '0.8', 'st': '0.28', 'exp': '1', 'bias': '0.5', 'fade': '0', 'mode': 'uncond', 'amount': '0.28', 'smooth': '1', 'ed_offset': '0', 'st_offset': '0'}
Hires upscale
1.4
Schedule type
Karras
Hires upscaler
4x-UltraSharp
Adetailer version
24.8.0
Denoising strength
0.4
Adetailer model 2nd
AnimePussyCameltoe-best.pt
Adetailer prompt 2nd
{}
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.28
Adetailer dilate erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, source_anime, (saz:1.4), (lia:1.4), +1girl, long hair, long eyelashes, streaked hair, looking at viewer, smug, floppy ears, +slim, wide hips, skirt, pantyhose, no panties under pantyhose, cleft of venus, hand on own thigh, torn legwear, pussy, crotch cutout, +standing, indoors
Negative prompt
(censored:1.4), (mosaic censoring:1.4), bar censor, border, worst quality, low quality, normal quality, messy drawing, amateur drawing, simple background, white background, sketch, jpeg artifacts, blurry, lowres, bad anatomy, bad hands, text, speech bubble, error, missing fingers, fewer digits, extra digits, cropped, multiple boys, young boy, old man, fatman, multicolored hair, stomach bulge, pregnant, greyscale, monochrome, source_furry, source_cartoon, comic, source filmmaker, video, 3d, penis, fellatio, crotch seam
Seed
3409168276
Size
832x1216
Model
tPonynai3_v65
Sampler
DPM++ 2M
Steps
20
CFG scale
6
+
+
+ + +
+
Hashes
{'model': '25bf7e0892'}
Version
f2.0.1v1.10.1-previous-419-gf82029c5
Emphasis
No norm
Resources
[{'hash': '25bf7e0892', 'name': 'tPonynai3_v65', 'type': 'model'}]
Model hash
25bf7e0892
Detail daemon
{'ed': '0.8', 'st': '0.28', 'exp': '1', 'bias': '0.5', 'fade': '0', 'mode': 'uncond', 'amount': '0.28', 'smooth': '1', 'ed_offset': '0', 'st_offset': '0'}
Hires upscale
1.4
Schedule type
Karras
Hires upscaler
4x-UltraSharp
Adetailer version
24.8.0
Denoising strength
0.4
Adetailer model 2nd
AnimePussyCameltoe-best.pt
Adetailer prompt 2nd
{}
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.28
Adetailer dilate erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/animePussyYOLO_v3.json b/adetailer/animePussyYOLO_v3.json new file mode 100644 index 0000000000000000000000000000000000000000..5c57911b5c11f713db2c077414739bd2ac8b2bd1 --- /dev/null +++ b/adetailer/animePussyYOLO_v3.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Use for (Adetailer) to upscale anime pussy, trained with 1151 Total Images of mainlyCleft of Venus there are some other types mixed in some vaginalfolder \\models\\adetailer\\\\ComfyUI\\models\\ultralytics\\bbox\\V3: now with cameltoe detection! ", + "sd version": "Other", + "modelId": 555406, + "sha256": "F7354C2B9A1C33D2F9E92B6D6C7FA009858A2FB0D05DED01DE10E04A5144F384", + "unpackList": [ + "AnimePussyCameltoe-best.pt" + ] +} \ No newline at end of file diff --git a/adetailer/animePussyYOLO_v3.preview.png b/adetailer/animePussyYOLO_v3.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..df758f60cf60456192a864ce1df0a08a655d1d4e Binary files /dev/null and b/adetailer/animePussyYOLO_v3.preview.png differ diff --git a/adetailer/anime_bra/anime_bra_strapless_v10.pt b/adetailer/anime_bra/anime_bra_strapless_v10.pt new file mode 100644 index 0000000000000000000000000000000000000000..57f93d8d36f306952834b0618d102d9cab6e2f54 --- /dev/null +++ b/adetailer/anime_bra/anime_bra_strapless_v10.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:05003e366c011c94a4b7543671b12e970307c3d8738601836a84ee837b02bddf +size 6350307 diff --git a/adetailer/anime_bra/anime_bra_v10.pt b/adetailer/anime_bra/anime_bra_v10.pt new file mode 100644 index 0000000000000000000000000000000000000000..1b41eb836c5d0c25b167f2d0b1d0597a38979beb --- /dev/null +++ b/adetailer/anime_bra/anime_bra_v10.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f19155073b0afd8d6d446c8a9da8c5ed15c6e064a47a6a0589dd3d35b1e42871 +size 6357283 diff --git a/adetailer/anime_bra_strapless-seg_v10.pt b/adetailer/anime_bra_strapless-seg_v10.pt new file mode 100644 index 0000000000000000000000000000000000000000..25281c8b53540cc57312dc18273d5612ace312a8 --- /dev/null +++ b/adetailer/anime_bra_strapless-seg_v10.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b551e3aaa83df331cc588c5b4f21e5dd44107079c2736816fd45ffbcc3ef6a66 +size 23981101 diff --git a/adetailer/anusAdetailerModel_v30.html b/adetailer/anusAdetailerModel_v30.html new file mode 100644 index 0000000000000000000000000000000000000000..ece9ef296f28c2bdb976ac8c6de3bd5590c71a41 --- /dev/null +++ b/adetailer/anusAdetailerModel_v30.html @@ -0,0 +1,97 @@ + + + + + + +
+

Anus ADetailer model

+

Uploaded by Null_ai_director

+
+
+
Version
+
v3.0
+
Base Model
+
Other
+
Published
+
2024-02-08
+
Availability
+
Public
+
CivitAI Tags
+
+
+ feralanthrofurryanustooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/334896
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This ADetailer model helps to annotate anuses on images to inpaint them automatically. Model was trained using yolov8s model.

Usage:

  1. Copy into your "models/adetailer" folder and extract

  2. Activate adetailer extension and select model by it's name

I suggest to use it with 0.05 threshold and mask only the top k largest 1-amount of characters on image, but usually detections outputs are with confidences 0.3 and more.

v3 and v2 versions seem to work with wide variety of species and styles!

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
solo, female, dragon, forest, smiling, rear view, pussy, anus, detailed background, full-length portrait, by syuro:0.6, (by zackary911)
Negative prompt
bwu, ubbp, updn, bad-image-v2-39000, clothed
Seed
441891382
Size
768x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
40
CFG scale
7
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
"bwu
70e376c5cf1d
Ubbp
047acf26d29c
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Latent
Adetailer model
anus_furry_v3_c3.pt
Adetailer prompt
anus
Adetailer version
24.1.1
Refiner switch at
0.45
Denoising strength
0.45
Bad-image-v2-39000
5b9281d7c6ad"
Adetailer mask blur
10
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
16
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer mask only top k largest
1
+
+
+ + + + +
+ +
+
Prompt
solo, female, dragon, forest, smiling, rear view, pussy, anus, detailed background, full-length portrait, by syuro:0.6, (by zackary911)
Negative prompt
bwu, ubbp, updn, bad-image-v2-39000, clothed
Seed
3391162100
Size
768x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
40
CFG scale
7
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
"bwu
70e376c5cf1d
Ubbp
047acf26d29c
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Mimic scale
10
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Latent
Adetailer model
anus_furry_v3_c3.pt
Interpolate phi
1
Adetailer prompt
anus
Adetailer sampler
DDIM
Adetailer version
24.1.1
Refiner switch at
0.45
Denoising strength
0.45
Scaling startpoint
MEAN
Bad-image-v2-39000
5b9281d7c6ad"
Adetailer mask blur
10
Variability measure
AD
Adetailer confidence
0.3
Threshold percentile
100
Adetailer dilate erode
4
Adetailer inpaint padding
16
Separate feature channels
True
Adetailer denoising strength
0.4
Dynamic thresholding enabled
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer mask only top k largest
1
+
+
+ + + + +
+ +
+
Prompt
solo, female, fox, canine pussy, beach, smiling, rear view, anus, detailed background, full-length portrait, by syuro, (by zackary911)
Negative prompt
bwu, ubbp, updn, bad-image-v2-39000, clothed
Seed
2210193125
Size
768x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
40
CFG scale
7
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
"bwu
70e376c5cf1d
Ubbp
047acf26d29c
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Mimic scale
10
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Latent
Adetailer model
anus_furry_v3_c3.pt
Interpolate phi
1
Adetailer prompt
anus
Adetailer sampler
DDIM
Adetailer version
24.1.1
Refiner switch at
0.45
Denoising strength
0.45
Scaling startpoint
MEAN
Bad-image-v2-39000
5b9281d7c6ad"
Adetailer mask blur
10
Variability measure
AD
Adetailer confidence
0.3
Threshold percentile
100
Adetailer dilate erode
4
Adetailer inpaint padding
16
Separate feature channels
True
Adetailer denoising strength
0.4
Dynamic thresholding enabled
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer mask only top k largest
1
+ \ No newline at end of file diff --git a/adetailer/anusAdetailerModel_v30.json b/adetailer/anusAdetailerModel_v30.json new file mode 100644 index 0000000000000000000000000000000000000000..1be66f18b415bf0f14e9e538250fa2f2d4f49fb2 --- /dev/null +++ b/adetailer/anusAdetailerModel_v30.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This ADetailer model helps to annotate anuses on images to inpaint them automatically. Model was trained using yolov8s model.Usage:Copy into your \"models/adetailer\" folder and extractActivate adetailer extension and select model by it's nameI suggest to use it with 0.05 threshold and mask only the top k largest 1-amount of characters on image, but usually detections outputs are with confidences 0.3 and more.v3 and v2 versions seem to work with wide variety of species and styles!", + "sd version": "Other", + "modelId": 268250, + "sha256": "F0BBE79B04C9A485F17A4A1E66E2003640952F5536B5A27952932712C8773592", + "unpackList": [ + "anus_furry_v3.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anusAdetailerModel_v30.preview.png b/adetailer/anusAdetailerModel_v30.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..943ea3a7ee63bc6586c2886deb4f54249adcaa98 Binary files /dev/null and b/adetailer/anusAdetailerModel_v30.preview.png differ diff --git a/adetailer/anusAdetailerModel_v40Segmentation_1044743.html b/adetailer/anusAdetailerModel_v40Segmentation_1044743.html new file mode 100644 index 0000000000000000000000000000000000000000..9aa15493d7a396a40686b1938ae3370d8dd7ed0e --- /dev/null +++ b/adetailer/anusAdetailerModel_v40Segmentation_1044743.html @@ -0,0 +1,97 @@ + + + + + + +
+

Anus ADetailer model

+

Uploaded by Null_ai_director

+
+
+
Version
+
v3.0
+
Base Model
+
Other
+
Published
+
2024-02-08
+
Availability
+
Public
+
CivitAI Tags
+
+
+ feralanthrofurryanustooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/334896
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This ADetailer model helps to annotate anuses on images to inpaint them automatically. Model was trained using yolov8s model. This model should be working for human/anime/furry as from v2.

V4 ADDITION:

Now this is segmentation model and it will make you a better masks with tighter mask which will positively reduce the inpainting area leading to less artifacts for inpainting zones.

Usage:

  1. Copy into your "models/adetailer" folder and extract

  2. Activate adetailer extension and select model by it's name

I suggest to use it with 0.2 threshold and mask only the top k largest 1-amount of characters on image, but usually detections outputs are with confidences 0.3 and more.

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
solo, female, dragon, forest, smiling, rear view, pussy, anus, detailed background, full-length portrait, by syuro:0.6, (by zackary911)
Negative prompt
bwu, ubbp, updn, bad-image-v2-39000, clothed
Seed
441891382
Size
768x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
40
CFG scale
7
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
"bwu
70e376c5cf1d
Ubbp
047acf26d29c
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Latent
Adetailer model
anus_furry_v3_c3.pt
Adetailer prompt
anus
Adetailer version
24.1.1
Refiner switch at
0.45
Denoising strength
0.45
Bad-image-v2-39000
5b9281d7c6ad"
Adetailer mask blur
10
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
16
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer mask only top k largest
1
+
+
+ + + + +
+ +
+
Prompt
solo, female, dragon, forest, smiling, rear view, pussy, anus, detailed background, full-length portrait, by syuro:0.6, (by zackary911)
Negative prompt
bwu, ubbp, updn, bad-image-v2-39000, clothed
Seed
3391162100
Size
768x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
40
CFG scale
7
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
"bwu
70e376c5cf1d
Ubbp
047acf26d29c
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Mimic scale
10
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Latent
Adetailer model
anus_furry_v3_c3.pt
Interpolate phi
1
Adetailer prompt
anus
Adetailer sampler
DDIM
Adetailer version
24.1.1
Refiner switch at
0.45
Denoising strength
0.45
Scaling startpoint
MEAN
Bad-image-v2-39000
5b9281d7c6ad"
Adetailer mask blur
10
Variability measure
AD
Adetailer confidence
0.3
Threshold percentile
100
Adetailer dilate erode
4
Adetailer inpaint padding
16
Separate feature channels
True
Adetailer denoising strength
0.4
Dynamic thresholding enabled
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer mask only top k largest
1
+
+
+ + + + +
+ +
+
Prompt
solo, female, fox, canine pussy, beach, smiling, rear view, anus, detailed background, full-length portrait, by syuro, (by zackary911)
Negative prompt
bwu, ubbp, updn, bad-image-v2-39000, clothed
Seed
2210193125
Size
768x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
40
CFG scale
7
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
"bwu
70e376c5cf1d
Ubbp
047acf26d29c
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Mimic scale
10
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Latent
Adetailer model
anus_furry_v3_c3.pt
Interpolate phi
1
Adetailer prompt
anus
Adetailer sampler
DDIM
Adetailer version
24.1.1
Refiner switch at
0.45
Denoising strength
0.45
Scaling startpoint
MEAN
Bad-image-v2-39000
5b9281d7c6ad"
Adetailer mask blur
10
Variability measure
AD
Adetailer confidence
0.3
Threshold percentile
100
Adetailer dilate erode
4
Adetailer inpaint padding
16
Separate feature channels
True
Adetailer denoising strength
0.4
Dynamic thresholding enabled
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer mask only top k largest
1
+ \ No newline at end of file diff --git a/adetailer/anusAdetailerModel_v40Segmentation_1044743.json b/adetailer/anusAdetailerModel_v40Segmentation_1044743.json new file mode 100644 index 0000000000000000000000000000000000000000..6f908ebd1c8ba84fc0bde25b5202a603bbdaf6bc --- /dev/null +++ b/adetailer/anusAdetailerModel_v40Segmentation_1044743.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This ADetailer model helps to annotate anuses on images to inpaint them automatically. Model was trained using yolov8s model. This model should be working for human/anime/furry as from v2.V4 ADDITION:Now this is segmentation model and it will make you a better masks with tighter mask which will positively reduce the inpainting area leading to less artifacts for inpainting zones.Usage:Copy into your \"models/adetailer\" folder and extractActivate adetailer extension and select model by it's nameI suggest to use it with 0.2 threshold and mask only the top k largest 1-amount of characters on image, but usually detections outputs are with confidences 0.3 and more.", + "sd version": "Other", + "modelId": 268250, + "sha256": "B7028C81ED3B481515E9C0706BCECBF0DB04A5D64F3EBA46E2272723C3EE1E84", + "unpackList": [ + "anus_v4.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anusAdetailerModel_v40Segmentation_1044743.preview.png b/adetailer/anusAdetailerModel_v40Segmentation_1044743.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..a10889e7e417f08082be70796d79d5cf67f89a49 Binary files /dev/null and b/adetailer/anusAdetailerModel_v40Segmentation_1044743.preview.png differ diff --git a/adetailer/anus_furry_v3.pt b/adetailer/anus_furry_v3.pt new file mode 100644 index 0000000000000000000000000000000000000000..677bb9ef2091a26ef0a2a14afc67cc283855294f --- /dev/null +++ b/adetailer/anus_furry_v3.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:765260798db12ffb31cb072b8f3444555d6e0ba6f1cb4675623a9de01952905a +size 22519598 diff --git a/adetailer/anus_v4.pt b/adetailer/anus_v4.pt new file mode 100644 index 0000000000000000000000000000000000000000..0a66f3df8697d8e178f98b0fa40c56028f64ef32 --- /dev/null +++ b/adetailer/anus_v4.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f281b186c4371bc31a0e350c134abbed1c110cb566a6fd9a4124e062764bbca +size 23879597 diff --git a/adetailer/anzhcsBeautifeyerYolov8_v10.html b/adetailer/anzhcsBeautifeyerYolov8_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..937556772dea67aa114f227f24d441c873b32a4f --- /dev/null +++ b/adetailer/anzhcsBeautifeyerYolov8_v10.html @@ -0,0 +1,134 @@ + + + + + + +
+

Anzhc's BeautifEYEr | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-03-09
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/383427
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
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+
+
+
+ +
+

Description

+

Credits to @novowels for that name :clueless:

Small segmentation model aiming to create accurate masks of eyes for improved inpainting quality with adetailer extension.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.

Set erosion/dilution to 0. (Or very low values)

Use.

DISCLAIMER: It was trained on 1024px, and under common circumstances will perform best in that resolution, but Adetailer default is 640, and currently you can't change that. Bing-su said that my pr breaks normal models, though i wasn't able to reproduce that, so, currently this model WILL NOT perform as on showcase images, unless you change ultralytics.py in a way that i did in my pr.
For XL models max padding is required, if you want eyes to stay consistent to each other. For hires you might need to modify UI to extend slider values to 512. Otherwise you will get this, as other eye is not in range of inpainted area:

What it does?

Creates own mask per eye found, each can be inpainted with unique prompt.

I did switch annotation style roughly 1/3 into process, so it's not quite uniform and accurate as it could be, but it still is probably one of the most accurate options available. It works by trying to select only sclera+pupils area, which let you use very high denoise. I tested up to 0.85, and it was decent coherence still, as it was only inpainting area where it can't ruin composition.

It still has some minor issues with selecting edge precisely, so you can see those small lines where it's not inpainted, but it would be fair to assume it's easily fixed with small dilution for the time being.

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Prompt
score_9, score_8_up, score_7_up, BREAK +1girl, portrait, looking at viewer, upper body
Negative prompt
greyscale, monochrome, 3d
Seed
925193801
Size
832x1216
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
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+
+ + +
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Vae
sdxl_vae.safetensors
Vae hash
63aeecb90f
Mask blur
4
Resources
[]
Inpaint area
Only masked
Black sclera
1.2)"
Glowing eyes
1.2) [SEP] score_9, (close-up, fire, flame, magic, red eyes, glowing eyes
Adetailer model
Anzhc Eyes -seg-hd.pt
Adetailer prompt
"score_9, (close-up, blue eyes, ice, glacier, snow, magic
Adetailer version
24.3.0
Denoising strength
0.8
Adetailer mask blur
4
Masked area padding
256
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1024
Adetailer inpaint height
1024
Adetailer inpaint padding
256
Discard penultimate sigma
True
Adetailer denoising strength
0.8
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
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+ \ No newline at end of file diff --git a/adetailer/anzhcsBeautifeyerYolov8_v10.json b/adetailer/anzhcsBeautifeyerYolov8_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..14181e6307896028eb60540401c9a758de19fedb --- /dev/null +++ b/adetailer/anzhcsBeautifeyerYolov8_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Credits to @novowels for that name :clueless:Small segmentation model aiming to create accurate masks of eyes for improved inpainting quality with adetailer extension.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.Set erosion/dilution to 0. (Or very low values)Use.DISCLAIMER: It was trained on 1024px, and under common circumstances will perform best in that resolution, but Adetailer default is 640, and currently you can't change that. Bing-su said that my pr breaks normal models, though i wasn't able to reproduce that, so, currently this model WILL NOT perform as on showcase images, unless you change ultralytics.py in a way that i did in my pr.For XL models max padding is required, if you want eyes to stay consistent to each other. For hires you might need to modify UI to extend slider values to 512. Otherwise you will get this, as other eye is not in range of inpainted area:What it does?Creates own mask per eye found, each can be inpainted with unique prompt.I did switch annotation style roughly 1/3 into process, so it's not quite uniform and accurate as it could be, but it still is probably one of the most accurate options available. It works by trying to select only sclera+pupils area, which let you use very high denoise. I tested up to 0.85, and it was decent coherence still, as it was only inpainting area where it can't ruin composition.It still has some minor issues with selecting edge precisely, so you can see those small lines where it's not inpainted, but it would be fair to assume it's easily fixed with small dilution for the time being.", + "sd version": "Other", + "modelId": 342514, + "sha256": "1E5B90318DD7639752B0B9FE70D1D98873B91242C2D3065CE46B01FF1CCA1459", + "unpackList": [ + "Anzhc Eyes -seg-hd.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsBeautifeyerYolov8_v10.preview.png b/adetailer/anzhcsBeautifeyerYolov8_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..958c1f8507510599fbe15384074c1e7e4edfaf4e Binary files /dev/null and b/adetailer/anzhcsBeautifeyerYolov8_v10.preview.png differ diff --git a/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.html b/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.html new file mode 100644 index 0000000000000000000000000000000000000000..ca0b30621ed91ef9087c11bdab9c15f6de967b1f --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Breasts Segmentation | Yolov8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
v1 medium NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816051
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small(and not so) segmentation model aiming to create accurate masks of breasts for improved inpainting quality with adetailer extension and other use cases.

You can say that this one is a labor of love. I hand annotated decently large dataset of images to train this.

Im presenting you a lineup of 3 models: Nano, Small and Medium, where each step up brings meaningful improvements to overall accuracy and detection capabilities.

Use Medium for best preformance, especially on complex scenes.

On preview i'll be showing only basic scenes, since i don't generate much of compelx ones to showcase, lol.

Validation results

I performed validation on val portion of dataset i used to train at 0.25 threshold and 0.6 IoU, at both 640 and 1024 resolution(Since my model is trained on 1024). I compared it against existing popular Booba detector by @Randanon (Civitai is dead, can't fetch link to properly mention them :( )

P.S. i realized civitai shrunk it to nothing, here is a close-up:P.P.S. v6n/s/m refers to my internal labeling, on civitai it is "v1".

Results are as follows:

v6n: 0.536, v6s: 0.567, v6m: 0.613, Randanon Booba: 0.434
In 1024 resolution my model maintains same level of performance, with Randanon Booba dipping to 0.367.
But please take those results with a grain of salt, since my val dataset doesn't represent specific way Randanon could've annotated their data, but it seems to be compatible, and we do go for quite similar target, based on what i see in manual prediction checks.

1024 resolution tests is not representative of Randanon's model performance either, since it wasn't trained on it, and shouldn't be used like that. It is made only to test performance on my model at native resolution it was trained on.

Val dataset consisted of over 200 images varying drastically in complexity of annotated subject and is not very representative of simple scenes performance.

Personally, i would bump Randanon's model by 0.07-0.10 points based on performance with simple scenes, in which im sometimes lacking.

Please try out both models and pick one that is better for your particular use case, or alternate on case-by-case basis.

My own judgement is based on data that is highly skewed towards complexity of prediction.

Can also be downloaded at HF whenever i would bother to upload there: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

Training and further info

Dataset consists of over 2000 images. (90/10 train/val split)

Target was to create model that can annotate more complex scenarios, particularly from side, behind, below, above, and other angles, in all possible sizes and in veriety of shapes, while trying to avoid obstructions like hands, and approximating breast area under clothes and rarely other things, if possible, and not missing out on partial appearances.

Also segmented visibility, like breasts visible from behind(on both sides).

And multi-subject performance(multiple girls, docking, etc.).

And do that while maintaining tight mask margin.

This is a hard target to get right, and this is a very much WIP still. While it is not achieving it currently in all ways, it is a meaningful performance gain, especially in complex detections.

Trained in 1024 resolution, but performs on the same level in 640 that is used in adetailer by default.

Training of M variant already took over 16 hours, so it is unlikely i will continue making that one, unless i get better GPU(curently using 4060ti), which is unlikely in near future.

S variant took 6.9 hours(~~not~~ nice).

And N variant took 4.2 hours, which is acceptable.

For a total of over 24 hours for just training time. e_e

+
+ +
+
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+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.json b/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.json new file mode 100644 index 0000000000000000000000000000000000000000..e1ab1a71faa59ba3c94163a8fd94301f51564e17 --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small(and not so) segmentation model aiming to create accurate masks of breasts for improved inpainting quality with adetailer extension and other use cases.You can say that this one is a labor of love. I hand annotated decently large dataset of images to train this.Im presenting you a lineup of 3 models: Nano, Small and Medium, where each step up brings meaningful improvements to overall accuracy and detection capabilities.Use Medium for best preformance, especially on complex scenes.On preview i'll be showing only basic scenes, since i don't generate much of compelx ones to showcase, lol.Validation resultsI performed validation on val portion of dataset i used to train at 0.25 threshold and 0.6 IoU, at both 640 and 1024 resolution(Since my model is trained on 1024). I compared it against existing popular Booba detector https://civitai.com/models/158108?modelVersionId=177662 by @Randanon (Civitai is dead, can't fetch link to properly mention them :( )P.S. i realized civitai shrunk it to nothing, here is a close-up:P.P.S. v6n/s/m refers to my internal labeling, on civitai it is \"v1\".Results are as follows:v6n: 0.536, v6s: 0.567, v6m: 0.613, Randanon Booba: 0.434In 1024 resolution my model maintains same level of performance, with Randanon Booba dipping to 0.367.But please take those results with a grain of salt, since my val dataset doesn't represent specific way Randanon could've annotated their data, but it seems to be compatible, and we do go for quite similar target, based on what i see in manual prediction checks.1024 resolution tests is not representative of Randanon's model performance either, since it wasn't trained on it, and shouldn't be used like that. It is made only to test performance on my model at native resolution it was trained on.Val dataset consisted of over 200 images varying drastically in complexity of annotated subject and is not very representative of simple scenes performance.Personally, i would bump Randanon's model by 0.07-0.10 points based on performance with simple scenes, in which im sometimes lacking.Please try out both models and pick one that is better for your particular use case, or alternate on case-by-case basis.My own judgement is based on data that is highly skewed towards complexity of prediction.Can also be downloaded at HF whenever i would bother to upload there: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.Training and further infoDataset consists of over 2000 images. (90/10 train/val split)Target was to create model that can annotate more complex scenarios, particularly from side, behind, below, above, and other angles, in all possible sizes and in veriety of shapes, while trying to avoid obstructions like hands, and approximating breast area under clothes and rarely other things, if possible, and not missing out on partial appearances.Also segmented visibility, like breasts visible from behind(on both sides).And multi-subject performance(multiple girls, docking, etc.).And do that while maintaining tight mask margin.This is a hard target to get right, and this is a very much WIP still. While it is not achieving it currently in all ways, it is a meaningful performance gain, especially in complex detections.Trained in 1024 resolution, but performs on the same level in 640 that is used in adetailer by default.Training of M variant already took over 16 hours, so it is unlikely i will continue making that one, unless i get better GPU(curently using 4060ti), which is unlikely in near future.S variant took 6.9 hours(~~not~~ nice).And N variant took 4.2 hours, which is acceptable.For a total of over 24 hours for just training time. e_e", + "sd version": "Other", + "modelId": 536542, + "sha256": "E8EC04F0CF162B9D2B99450E4B9F8C00E5DE8B8593923D7D430F47B546266896", + "unpackList": [ + "Anzhc Breasts Seg v1 1024n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.preview.png b/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..312fd2748dd27ee877cfcc8863e7f9c18a2f9ab9 --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_nanoV1_729626.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ed1596a640a3e0eb02afa5be2586390479b729d52cc2cc9ed1006c8b0709535 +size 3221333 diff --git a/adetailer/anzhcsBreastsSegmentation_smallV1_729629.html b/adetailer/anzhcsBreastsSegmentation_smallV1_729629.html new file mode 100644 index 0000000000000000000000000000000000000000..ca0b30621ed91ef9087c11bdab9c15f6de967b1f --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_smallV1_729629.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Breasts Segmentation | Yolov8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
v1 medium NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816051
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small(and not so) segmentation model aiming to create accurate masks of breasts for improved inpainting quality with adetailer extension and other use cases.

You can say that this one is a labor of love. I hand annotated decently large dataset of images to train this.

Im presenting you a lineup of 3 models: Nano, Small and Medium, where each step up brings meaningful improvements to overall accuracy and detection capabilities.

Use Medium for best preformance, especially on complex scenes.

On preview i'll be showing only basic scenes, since i don't generate much of compelx ones to showcase, lol.

Validation results

I performed validation on val portion of dataset i used to train at 0.25 threshold and 0.6 IoU, at both 640 and 1024 resolution(Since my model is trained on 1024). I compared it against existing popular Booba detector by @Randanon (Civitai is dead, can't fetch link to properly mention them :( )

P.S. i realized civitai shrunk it to nothing, here is a close-up:P.P.S. v6n/s/m refers to my internal labeling, on civitai it is "v1".

Results are as follows:

v6n: 0.536, v6s: 0.567, v6m: 0.613, Randanon Booba: 0.434
In 1024 resolution my model maintains same level of performance, with Randanon Booba dipping to 0.367.
But please take those results with a grain of salt, since my val dataset doesn't represent specific way Randanon could've annotated their data, but it seems to be compatible, and we do go for quite similar target, based on what i see in manual prediction checks.

1024 resolution tests is not representative of Randanon's model performance either, since it wasn't trained on it, and shouldn't be used like that. It is made only to test performance on my model at native resolution it was trained on.

Val dataset consisted of over 200 images varying drastically in complexity of annotated subject and is not very representative of simple scenes performance.

Personally, i would bump Randanon's model by 0.07-0.10 points based on performance with simple scenes, in which im sometimes lacking.

Please try out both models and pick one that is better for your particular use case, or alternate on case-by-case basis.

My own judgement is based on data that is highly skewed towards complexity of prediction.

Can also be downloaded at HF whenever i would bother to upload there: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

Training and further info

Dataset consists of over 2000 images. (90/10 train/val split)

Target was to create model that can annotate more complex scenarios, particularly from side, behind, below, above, and other angles, in all possible sizes and in veriety of shapes, while trying to avoid obstructions like hands, and approximating breast area under clothes and rarely other things, if possible, and not missing out on partial appearances.

Also segmented visibility, like breasts visible from behind(on both sides).

And multi-subject performance(multiple girls, docking, etc.).

And do that while maintaining tight mask margin.

This is a hard target to get right, and this is a very much WIP still. While it is not achieving it currently in all ways, it is a meaningful performance gain, especially in complex detections.

Trained in 1024 resolution, but performs on the same level in 640 that is used in adetailer by default.

Training of M variant already took over 16 hours, so it is unlikely i will continue making that one, unless i get better GPU(curently using 4060ti), which is unlikely in near future.

S variant took 6.9 hours(~~not~~ nice).

And N variant took 4.2 hours, which is acceptable.

For a total of over 24 hours for just training time. e_e

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsBreastsSegmentation_smallV1_729629.json b/adetailer/anzhcsBreastsSegmentation_smallV1_729629.json new file mode 100644 index 0000000000000000000000000000000000000000..c07a393992a1f5110411cce419356c429f6b7550 --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_smallV1_729629.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small(and not so) segmentation model aiming to create accurate masks of breasts for improved inpainting quality with adetailer extension and other use cases.You can say that this one is a labor of love. I hand annotated decently large dataset of images to train this.Im presenting you a lineup of 3 models: Nano, Small and Medium, where each step up brings meaningful improvements to overall accuracy and detection capabilities.Use Medium for best preformance, especially on complex scenes.On preview i'll be showing only basic scenes, since i don't generate much of compelx ones to showcase, lol.Validation resultsI performed validation on val portion of dataset i used to train at 0.25 threshold and 0.6 IoU, at both 640 and 1024 resolution(Since my model is trained on 1024). I compared it against existing popular Booba detector https://civitai.com/models/158108?modelVersionId=177662 by @Randanon (Civitai is dead, can't fetch link to properly mention them :( )P.S. i realized civitai shrunk it to nothing, here is a close-up:P.P.S. v6n/s/m refers to my internal labeling, on civitai it is \"v1\".Results are as follows:v6n: 0.536, v6s: 0.567, v6m: 0.613, Randanon Booba: 0.434In 1024 resolution my model maintains same level of performance, with Randanon Booba dipping to 0.367.But please take those results with a grain of salt, since my val dataset doesn't represent specific way Randanon could've annotated their data, but it seems to be compatible, and we do go for quite similar target, based on what i see in manual prediction checks.1024 resolution tests is not representative of Randanon's model performance either, since it wasn't trained on it, and shouldn't be used like that. It is made only to test performance on my model at native resolution it was trained on.Val dataset consisted of over 200 images varying drastically in complexity of annotated subject and is not very representative of simple scenes performance.Personally, i would bump Randanon's model by 0.07-0.10 points based on performance with simple scenes, in which im sometimes lacking.Please try out both models and pick one that is better for your particular use case, or alternate on case-by-case basis.My own judgement is based on data that is highly skewed towards complexity of prediction.Can also be downloaded at HF whenever i would bother to upload there: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.Training and further infoDataset consists of over 2000 images. (90/10 train/val split)Target was to create model that can annotate more complex scenarios, particularly from side, behind, below, above, and other angles, in all possible sizes and in veriety of shapes, while trying to avoid obstructions like hands, and approximating breast area under clothes and rarely other things, if possible, and not missing out on partial appearances.Also segmented visibility, like breasts visible from behind(on both sides).And multi-subject performance(multiple girls, docking, etc.).And do that while maintaining tight mask margin.This is a hard target to get right, and this is a very much WIP still. While it is not achieving it currently in all ways, it is a meaningful performance gain, especially in complex detections.Trained in 1024 resolution, but performs on the same level in 640 that is used in adetailer by default.Training of M variant already took over 16 hours, so it is unlikely i will continue making that one, unless i get better GPU(curently using 4060ti), which is unlikely in near future.S variant took 6.9 hours(~~not~~ nice).And N variant took 4.2 hours, which is acceptable.For a total of over 24 hours for just training time. e_e", + "sd version": "Other", + "modelId": 536542, + "sha256": "89427A9919600A408C72943602DD7868DC64061E72884E19201733B5BF41903B", + "unpackList": [ + "Anzhc Breasts Seg v1 1024s.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsBreastsSegmentation_smallV1_729629.preview.png b/adetailer/anzhcsBreastsSegmentation_smallV1_729629.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..ac6763ab41e48b8917a4e7d3ee60122991501c8c --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_smallV1_729629.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:953abd5a5a7098fc128f0b0ec9d14e86942425a6463bb614803401e8490965a2 +size 2030578 diff --git a/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.html b/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.html new file mode 100644 index 0000000000000000000000000000000000000000..ca0b30621ed91ef9087c11bdab9c15f6de967b1f --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Breasts Segmentation | Yolov8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
v1 medium NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816051
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small(and not so) segmentation model aiming to create accurate masks of breasts for improved inpainting quality with adetailer extension and other use cases.

You can say that this one is a labor of love. I hand annotated decently large dataset of images to train this.

Im presenting you a lineup of 3 models: Nano, Small and Medium, where each step up brings meaningful improvements to overall accuracy and detection capabilities.

Use Medium for best preformance, especially on complex scenes.

On preview i'll be showing only basic scenes, since i don't generate much of compelx ones to showcase, lol.

Validation results

I performed validation on val portion of dataset i used to train at 0.25 threshold and 0.6 IoU, at both 640 and 1024 resolution(Since my model is trained on 1024). I compared it against existing popular Booba detector by @Randanon (Civitai is dead, can't fetch link to properly mention them :( )

P.S. i realized civitai shrunk it to nothing, here is a close-up:P.P.S. v6n/s/m refers to my internal labeling, on civitai it is "v1".

Results are as follows:

v6n: 0.536, v6s: 0.567, v6m: 0.613, Randanon Booba: 0.434
In 1024 resolution my model maintains same level of performance, with Randanon Booba dipping to 0.367.
But please take those results with a grain of salt, since my val dataset doesn't represent specific way Randanon could've annotated their data, but it seems to be compatible, and we do go for quite similar target, based on what i see in manual prediction checks.

1024 resolution tests is not representative of Randanon's model performance either, since it wasn't trained on it, and shouldn't be used like that. It is made only to test performance on my model at native resolution it was trained on.

Val dataset consisted of over 200 images varying drastically in complexity of annotated subject and is not very representative of simple scenes performance.

Personally, i would bump Randanon's model by 0.07-0.10 points based on performance with simple scenes, in which im sometimes lacking.

Please try out both models and pick one that is better for your particular use case, or alternate on case-by-case basis.

My own judgement is based on data that is highly skewed towards complexity of prediction.

Can also be downloaded at HF whenever i would bother to upload there: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

Training and further info

Dataset consists of over 2000 images. (90/10 train/val split)

Target was to create model that can annotate more complex scenarios, particularly from side, behind, below, above, and other angles, in all possible sizes and in veriety of shapes, while trying to avoid obstructions like hands, and approximating breast area under clothes and rarely other things, if possible, and not missing out on partial appearances.

Also segmented visibility, like breasts visible from behind(on both sides).

And multi-subject performance(multiple girls, docking, etc.).

And do that while maintaining tight mask margin.

This is a hard target to get right, and this is a very much WIP still. While it is not achieving it currently in all ways, it is a meaningful performance gain, especially in complex detections.

Trained in 1024 resolution, but performs on the same level in 640 that is used in adetailer by default.

Training of M variant already took over 16 hours, so it is unlikely i will continue making that one, unless i get better GPU(curently using 4060ti), which is unlikely in near future.

S variant took 6.9 hours(~~not~~ nice).

And N variant took 4.2 hours, which is acceptable.

For a total of over 24 hours for just training time. e_e

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+ +
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+ \ No newline at end of file diff --git a/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.json b/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.json new file mode 100644 index 0000000000000000000000000000000000000000..062ebf836612d25a585c110f03e8f250bda9b0f5 --- /dev/null +++ b/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small(and not so) segmentation model aiming to create accurate masks of breasts for improved inpainting quality with adetailer extension and other use cases.You can say that this one is a labor of love. I hand annotated decently large dataset of images to train this.Im presenting you a lineup of 3 models: Nano, Small and Medium, where each step up brings meaningful improvements to overall accuracy and detection capabilities.Use Medium for best preformance, especially on complex scenes.On preview i'll be showing only basic scenes, since i don't generate much of compelx ones to showcase, lol.Validation resultsI performed validation on val portion of dataset i used to train at 0.25 threshold and 0.6 IoU, at both 640 and 1024 resolution(Since my model is trained on 1024). I compared it against existing popular Booba detector https://civitai.com/models/158108?modelVersionId=177662 by @Randanon (Civitai is dead, can't fetch link to properly mention them :( )P.S. i realized civitai shrunk it to nothing, here is a close-up:P.P.S. v6n/s/m refers to my internal labeling, on civitai it is \"v1\".Results are as follows:v6n: 0.536, v6s: 0.567, v6m: 0.613, Randanon Booba: 0.434In 1024 resolution my model maintains same level of performance, with Randanon Booba dipping to 0.367.But please take those results with a grain of salt, since my val dataset doesn't represent specific way Randanon could've annotated their data, but it seems to be compatible, and we do go for quite similar target, based on what i see in manual prediction checks.1024 resolution tests is not representative of Randanon's model performance either, since it wasn't trained on it, and shouldn't be used like that. It is made only to test performance on my model at native resolution it was trained on.Val dataset consisted of over 200 images varying drastically in complexity of annotated subject and is not very representative of simple scenes performance.Personally, i would bump Randanon's model by 0.07-0.10 points based on performance with simple scenes, in which im sometimes lacking.Please try out both models and pick one that is better for your particular use case, or alternate on case-by-case basis.My own judgement is based on data that is highly skewed towards complexity of prediction.Can also be downloaded at HF whenever i would bother to upload there: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.Training and further infoDataset consists of over 2000 images. (90/10 train/val split)Target was to create model that can annotate more complex scenarios, particularly from side, behind, below, above, and other angles, in all possible sizes and in veriety of shapes, while trying to avoid obstructions like hands, and approximating breast area under clothes and rarely other things, if possible, and not missing out on partial appearances.Also segmented visibility, like breasts visible from behind(on both sides).And multi-subject performance(multiple girls, docking, etc.).And do that while maintaining tight mask margin.This is a hard target to get right, and this is a very much WIP still. While it is not achieving it currently in all ways, it is a meaningful performance gain, especially in complex detections.Trained in 1024 resolution, but performs on the same level in 640 that is used in adetailer by default.Training of M variant already took over 16 hours, so it is unlikely i will continue making that one, unless i get better GPU(curently using 4060ti), which is unlikely in near future.S variant took 6.9 hours(~~not~~ nice).And N variant took 4.2 hours, which is acceptable.For a total of over 24 hours for just training time. e_e", + "sd version": "Other", + "modelId": 536542, + "sha256": "045A0AE5AFCDDD2ADBD45A6FB794DE02CD43E8BF91E42781AE381BC72C4B7F41", + "unpackList": [ + "Anzhc Breasts Seg v1 1024m.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.preview.png b/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..c0df24e023692752a3ef1c91ba1ce1b8561d5db5 Binary files /dev/null and b/adetailer/anzhcsBreastsSegmentation_v1MediumNODILL.preview.png differ diff --git a/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.html b/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.html new file mode 100644 index 0000000000000000000000000000000000000000..4b9096d4f506916c0601f0c797f88cb814e195ca --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
v2 640 NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816045
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:
Man face detection - tries to detect only real male faces in image.
Woman face detection - tries to detect only real female faces in image.
It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.

They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.

V2: Tried to improve colored skin detection. Possibly improved detection from side.
Removed female/male separation, since i forgor which class was what, it's simpler that way.

This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024

Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

What it does?

Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.

Yolo face mask:

My face mask:

Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.

P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.

In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn

Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.

But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.

This is really easy to improve, but im busy with work and other stuff to really do that.

+
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+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.json b/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.json new file mode 100644 index 0000000000000000000000000000000000000000..b542f6028725a8fc269d7e941becd243bc5121a0 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:Man face detection - tries to detect only real male faces in image.Woman face detection - tries to detect only real female faces in image.It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.V2: Tried to improve colored skin detection. Possibly improved detection from side.Removed female/male separation, since i forgor which class was what, it's simpler that way.This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.What it does?Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.Yolo face mask:My face mask:Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.In some cases, particularly close-ups and face shots, standard yolo face model will create hard burnBecause area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.This is really easy to improve, but im busy with work and other stuff to really do that.", + "sd version": "Other", + "modelId": 293448, + "sha256": "60D1CCDA03D779563FF350AC397ED148FFC9283A356BEAD9B0D932CD45138835", + "unpackList": [ + "Anzhcs ManFace v02 1024 y8n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.preview.png b/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..954191ac9cccea45ae13f45b66765e159aeea929 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_manFaceRealOnly_913146.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6c4562394ac356794d3621f47e9353ddfbc5df37979a322a32c9a7e0634c592c +size 1798247 diff --git a/adetailer/anzhcsFaceSegmentation_v10_729605.html b/adetailer/anzhcsFaceSegmentation_v10_729605.html new file mode 100644 index 0000000000000000000000000000000000000000..853f49f6faf5acbb78364c0142a66d83e098a7fa --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v10_729605.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
Woman face (real only)
+
Base Model
+
Other
+
Published
+
2024-10-29
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/1007485
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:
Man face detection - tries to detect only real male faces in image.
Woman face detection - tries to detect only real female faces in image.
It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.

They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.

V2: Tried to improve colored skin detection. Possibly improved detection from side.
Removed female/male separation, since i forgor which class was what, it's simpler that way.

This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024

Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

What it does?

Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.

Yolo face mask:

My face mask:

Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.

P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.

In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn

Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.

But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.

This is really easy to improve, but im busy with work and other stuff to really do that.

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v10_729605.json b/adetailer/anzhcsFaceSegmentation_v10_729605.json new file mode 100644 index 0000000000000000000000000000000000000000..36ea38bd4a087a06ee29fb9778687a6c752e404b --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v10_729605.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:Man face detection - tries to detect only real male faces in image.Woman face detection - tries to detect only real female faces in image.It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.V2: Tried to improve colored skin detection. Possibly improved detection from side.Removed female/male separation, since i forgor which class was what, it's simpler that way.This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.What it does?Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.Yolo face mask:My face mask:Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.In some cases, particularly close-ups and face shots, standard yolo face model will create hard burnBecause area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.This is really easy to improve, but im busy with work and other stuff to really do that.", + "sd version": "Other", + "modelId": 293448, + "sha256": "508A60B2793F1E7C5CCD8A71626DBABEBCCD80DDAFB51B461285A5665244F5CA", + "unpackList": [ + "Anzhc Face -seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v10_729605.preview.png b/adetailer/anzhcsFaceSegmentation_v10_729605.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..ffd3639dd5e212bfcdaccc941a42f0be036cad7d Binary files /dev/null and b/adetailer/anzhcsFaceSegmentation_v10_729605.preview.png differ diff --git a/adetailer/anzhcsFaceSegmentation_v21024_729608.html b/adetailer/anzhcsFaceSegmentation_v21024_729608.html new file mode 100644 index 0000000000000000000000000000000000000000..4b9096d4f506916c0601f0c797f88cb814e195ca --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v21024_729608.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
v2 640 NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816045
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:
Man face detection - tries to detect only real male faces in image.
Woman face detection - tries to detect only real female faces in image.
It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.

They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.

V2: Tried to improve colored skin detection. Possibly improved detection from side.
Removed female/male separation, since i forgor which class was what, it's simpler that way.

This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024

Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

What it does?

Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.

Yolo face mask:

My face mask:

Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.

P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.

In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn

Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.

But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.

This is really easy to improve, but im busy with work and other stuff to really do that.

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v21024_729608.json b/adetailer/anzhcsFaceSegmentation_v21024_729608.json new file mode 100644 index 0000000000000000000000000000000000000000..ac7a1514ea3418782dd3e18ddc6434b654a5d644 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v21024_729608.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:Man face detection - tries to detect only real male faces in image.Woman face detection - tries to detect only real female faces in image.It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.V2: Tried to improve colored skin detection. Possibly improved detection from side.Removed female/male separation, since i forgor which class was what, it's simpler that way.This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.What it does?Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.Yolo face mask:My face mask:Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.In some cases, particularly close-ups and face shots, standard yolo face model will create hard burnBecause area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.This is really easy to improve, but im busy with work and other stuff to really do that.", + "sd version": "Other", + "modelId": 293448, + "sha256": "C2B16C281374BFAF01E290FB9BD198207A9E405BCFEADE1B185A3BD5E0470B64", + "unpackList": [ + "Anzhc Face seg 1024 v2 y8n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v21024_729608.preview.png b/adetailer/anzhcsFaceSegmentation_v21024_729608.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..9a784fdf37c38a892b1cabfa6aa2a6bebce451de --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v21024_729608.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d2b42818a253816b59e58c63aae6ffec97ae708369708e9b978575d41c1343d5 +size 2947990 diff --git a/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.html b/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.html new file mode 100644 index 0000000000000000000000000000000000000000..853f49f6faf5acbb78364c0142a66d83e098a7fa --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
Woman face (real only)
+
Base Model
+
Other
+
Published
+
2024-10-29
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/1007485
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:
Man face detection - tries to detect only real male faces in image.
Woman face detection - tries to detect only real female faces in image.
It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.

They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.

V2: Tried to improve colored skin detection. Possibly improved detection from side.
Removed female/male separation, since i forgor which class was what, it's simpler that way.

This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024

Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

What it does?

Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.

Yolo face mask:

My face mask:

Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.

P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.

In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn

Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.

But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.

This is really easy to improve, but im busy with work and other stuff to really do that.

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.json b/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.json new file mode 100644 index 0000000000000000000000000000000000000000..4b19b60e5be73b03b70cd1cf32c8f9ef3a02eb71 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:Man face detection - tries to detect only real male faces in image.Woman face detection - tries to detect only real female faces in image.It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.V2: Tried to improve colored skin detection. Possibly improved detection from side.Removed female/male separation, since i forgor which class was what, it's simpler that way.This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.What it does?Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.Yolo face mask:My face mask:Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.In some cases, particularly close-ups and face shots, standard yolo face model will create hard burnBecause area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.This is really easy to improve, but im busy with work and other stuff to really do that.", + "sd version": "Other", + "modelId": 293448, + "sha256": "67E1E662F436218EEC2D4327774E0464B54422174650F36D21A0F2154E16F2B1", + "unpackList": [ + "Anzhc Face seg 640 v2 y8n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.preview.png b/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..17a7ec109fa3a8f152917b02b8f9c6f966cae05f Binary files /dev/null and b/adetailer/anzhcsFaceSegmentation_v2640NODILL_729622.preview.png differ diff --git a/adetailer/anzhcsFaceSegmentation_v2768MS_729616.html b/adetailer/anzhcsFaceSegmentation_v2768MS_729616.html new file mode 100644 index 0000000000000000000000000000000000000000..4b9096d4f506916c0601f0c797f88cb814e195ca --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2768MS_729616.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
v2 640 NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816045
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:
Man face detection - tries to detect only real male faces in image.
Woman face detection - tries to detect only real female faces in image.
It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.

They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.

V2: Tried to improve colored skin detection. Possibly improved detection from side.
Removed female/male separation, since i forgor which class was what, it's simpler that way.

This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024

Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

What it does?

Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.

Yolo face mask:

My face mask:

Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.

P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.

In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn

Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.

But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.

This is really easy to improve, but im busy with work and other stuff to really do that.

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v2768MS_729616.json b/adetailer/anzhcsFaceSegmentation_v2768MS_729616.json new file mode 100644 index 0000000000000000000000000000000000000000..33a867c6ab290106c3b456512ef45eff3aee1e71 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2768MS_729616.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:Man face detection - tries to detect only real male faces in image.Woman face detection - tries to detect only real female faces in image.It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.V2: Tried to improve colored skin detection. Possibly improved detection from side.Removed female/male separation, since i forgor which class was what, it's simpler that way.This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.What it does?Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.Yolo face mask:My face mask:Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.In some cases, particularly close-ups and face shots, standard yolo face model will create hard burnBecause area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.This is really easy to improve, but im busy with work and other stuff to really do that.", + "sd version": "Other", + "modelId": 293448, + "sha256": "789EA0C6AA18D45840E65C39589C133DF6A7FF33AFE87FB8FEECBE64A8FB1A14", + "unpackList": [ + "Anzhc Face seg 768MS v2 y8n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v2768MS_729616.preview.png b/adetailer/anzhcsFaceSegmentation_v2768MS_729616.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..8ad733068077561873b0b49c4b9aa2ce1b249974 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2768MS_729616.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a52b97330e1a4dc514af2a00d047b8f5f75bf4f479ebfcdbb2b6767bcb98fbdd +size 2958545 diff --git a/adetailer/anzhcsFaceSegmentation_v2768_729612.html b/adetailer/anzhcsFaceSegmentation_v2768_729612.html new file mode 100644 index 0000000000000000000000000000000000000000..853f49f6faf5acbb78364c0142a66d83e098a7fa --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2768_729612.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
Woman face (real only)
+
Base Model
+
Other
+
Published
+
2024-10-29
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/1007485
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:
Man face detection - tries to detect only real male faces in image.
Woman face detection - tries to detect only real female faces in image.
It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.

They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.

V2: Tried to improve colored skin detection. Possibly improved detection from side.
Removed female/male separation, since i forgor which class was what, it's simpler that way.

This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024

Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

What it does?

Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.

Yolo face mask:

My face mask:

Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.

P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.

In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn

Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.

But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.

This is really easy to improve, but im busy with work and other stuff to really do that.

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v2768_729612.json b/adetailer/anzhcsFaceSegmentation_v2768_729612.json new file mode 100644 index 0000000000000000000000000000000000000000..4f2d3ee1cb3b4ed28720df71217a11202f233a96 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2768_729612.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:Man face detection - tries to detect only real male faces in image.Woman face detection - tries to detect only real female faces in image.It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.V2: Tried to improve colored skin detection. Possibly improved detection from side.Removed female/male separation, since i forgor which class was what, it's simpler that way.This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.What it does?Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.Yolo face mask:My face mask:Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.In some cases, particularly close-ups and face shots, standard yolo face model will create hard burnBecause area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.This is really easy to improve, but im busy with work and other stuff to really do that.", + "sd version": "Other", + "modelId": 293448, + "sha256": "8FC9F5F425B5D9A7296146AF21B319D0A1D63BEBE52613D22D37F78021E2ED63", + "unpackList": [ + "Anzhc Face seg 768 v2 y8n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_v2768_729612.preview.png b/adetailer/anzhcsFaceSegmentation_v2768_729612.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..fe5d3be6e5912756e39f0db2ed743d79bd3457b4 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_v2768_729612.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:81eda7931b51d2ca9ed8f351243544f576a9731d1f03242ecef38a501c413f62 +size 2954129 diff --git a/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.html b/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.html new file mode 100644 index 0000000000000000000000000000000000000000..853f49f6faf5acbb78364c0142a66d83e098a7fa --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
Woman face (real only)
+
Base Model
+
Other
+
Published
+
2024-10-29
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/1007485
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:
Man face detection - tries to detect only real male faces in image.
Woman face detection - tries to detect only real female faces in image.
It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.

They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.

V2: Tried to improve colored skin detection. Possibly improved detection from side.
Removed female/male separation, since i forgor which class was what, it's simpler that way.

This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024

Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.

Use.

What it does?

Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.

Yolo face mask:

My face mask:

Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.

P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.

In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn

Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.

But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.

This is really easy to improve, but im busy with work and other stuff to really do that.

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.json b/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.json new file mode 100644 index 0000000000000000000000000000000000000000..8100f68760e85edabd69bab7cbf2aa968a7e1a31 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "New models, woman and man face detection: Basically sponsored by @girlsthatdontexist, I actually don't know if they want to be mentioned, they can comment to claim that they did if so. So far anonymous and very charitable member of community. I was really lazy about posting those, but they persisted that i should, so thank them for those 2 new models:Man face detection - tries to detect only real male faces in image.Woman face detection - tries to detect only real female faces in image.It was trained only on realistic images, so is unusable for anime. Can't promise i'll expand it in future, but possibility is there.They, and all models going forward will be trained on Ultralytics >= 8.3, please update package in your webui of choice to use it, since most likely you are using 8.1 or 8.2, which will not work.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.V2: Tried to improve colored skin detection. Possibly improved detection from side.Removed female/male separation, since i forgor which class was what, it's simpler that way.This time around im releasing a small lineup of models, in order of quality you'll get in a1111: v2 640, v2 768 MS, v2 768, v2 1024Use v2 640, if you need it for adetailer. Rest are situational and for out of automatic purposes, since adetailer extension doesn't support other than 640 resolution right now, it will use it with any of model listed above.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.Use.What it does?Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.Yolo face mask:My face mask:Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.In some cases, particularly close-ups and face shots, standard yolo face model will create hard burnBecause area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.This is really easy to improve, but im busy with work and other stuff to really do that.", + "sd version": "Other", + "modelId": 293448, + "sha256": "4B45E06048BF28E335DDB4B9BE22EBCE2F6A1E32690B294F67A799FF77AEE605", + "unpackList": [ + "Anzhcs WomanFace v05 1024 y8n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.preview.png b/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..90fd0a06838fad0f45e298ecdb251c5b92d695f9 --- /dev/null +++ b/adetailer/anzhcsFaceSegmentation_womanFaceRealOnly.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:088f15cb9f6cfb7b801e1bbd4d79064cd07cfe0f9647c9ab31c170b9953ab5fb +size 1807666 diff --git a/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.html b/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.html new file mode 100644 index 0000000000000000000000000000000000000000..105c6f03a35c0adfafdc8bd7fb81b406b732e944 --- /dev/null +++ b/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Head Segmentation (prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
Medium v1 NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816028
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to help with head inpainting/enhance.
Note: It is not very accurate, and will struggle with long hair.

This version is smallest available, compromise in accuracy, but it's just 6mb. Medium(50mb) brings in up a notch, but don't think i will be releasing that one in particular.Oke, medium is up.

Here are validation results on ~470 images:

Can also be downloaded at HF(whenever i can actually log in): https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.

Use.

What it does and what is it for?

Head segmentation, duh.

It tries to select head, including hair, while avoiding rest. It is hard to avoid rest...
Model is very inconsistent with long hair.

Overall it should be able to work with wide variety of styles and mediums, as i tries to create a robust enough dataset with quite a bit of abstract, traditional, real and digital content. It is not a big one though, so there is a large room for improvement.

But what you might need it for? To have some fun, while reducing tedium a bit.

P.S. Those inpaints were done on older version, which had a bit worse masking.
All inpaints were done directly with adetailer in single pass with inpaint model.

And it took a few tries, hard to get 7 inpaints right in a row xd

+
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+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.json b/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.json new file mode 100644 index 0000000000000000000000000000000000000000..2fff4fed56183ceb4c773ebf70816a527078f782 --- /dev/null +++ b/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to help with head inpainting/enhance.Note: It is not very accurate, and will struggle with long hair.This version is smallest available, compromise in accuracy, but it's just 6mb. Medium(50mb) brings in up a notch, but don't think i will be releasing that one in particular.Oke, medium is up.Here are validation results on ~470 images:Can also be downloaded at HF(whenever i can actually log in): https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.Use.What it does and what is it for?Head segmentation, duh.It tries to select head, including hair, while avoiding rest. It is hard to avoid rest...Model is very inconsistent with long hair.Overall it should be able to work with wide variety of styles and mediums, as i tries to create a robust enough dataset with quite a bit of abstract, traditional, real and digital content. It is not a big one though, so there is a large room for improvement.But what you might need it for? To have some fun, while reducing tedium a bit.P.S. Those inpaints were done on older version, which had a bit worse masking.All inpaints were done directly with adetailer in single pass with inpaint model.And it took a few tries, hard to get 7 inpaints right in a row xd", + "sd version": "Other", + "modelId": 326568, + "sha256": "620EB40095B8C3FC49A4F5ED3142893956D13040A7793043F9CBB74918155BB3", + "unpackList": [ + "Anzhc Head+Hair seg medium no dill.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.preview.png b/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..8b0f50fa14b787bac7050ca00505e92fcec330fb Binary files /dev/null and b/adetailer/anzhcsHeadSegmentation_mediumV1NODILL.preview.png differ diff --git a/adetailer/anzhcsHeadSegmentation_v10_729564.html b/adetailer/anzhcsHeadSegmentation_v10_729564.html new file mode 100644 index 0000000000000000000000000000000000000000..105c6f03a35c0adfafdc8bd7fb81b406b732e944 --- /dev/null +++ b/adetailer/anzhcsHeadSegmentation_v10_729564.html @@ -0,0 +1,51 @@ + + + + + + +
+

Anzhc's Head Segmentation (prototype) | YOLOv8 | Adetailer model

+

Uploaded by Anzhc

+
+
+
Version
+
Medium v1 NO DILL
+
Base Model
+
Other
+
Published
+
2024-09-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/816028
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.

If you are having issues:

  1. Activate your venv

  2. pip install dill

  3. pip install --upgrade ultralytics

This should fix generic problems.

Small segmentation model aiming to help with head inpainting/enhance.
Note: It is not very accurate, and will struggle with long hair.

This version is smallest available, compromise in accuracy, but it's just 6mb. Medium(50mb) brings in up a notch, but don't think i will be releasing that one in particular.Oke, medium is up.

Here are validation results on ~470 images:

Can also be downloaded at HF(whenever i can actually log in): https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.

Use.

What it does and what is it for?

Head segmentation, duh.

It tries to select head, including hair, while avoiding rest. It is hard to avoid rest...
Model is very inconsistent with long hair.

Overall it should be able to work with wide variety of styles and mediums, as i tries to create a robust enough dataset with quite a bit of abstract, traditional, real and digital content. It is not a big one though, so there is a large room for improvement.

But what you might need it for? To have some fun, while reducing tedium a bit.

P.S. Those inpaints were done on older version, which had a bit worse masking.
All inpaints were done directly with adetailer in single pass with inpaint model.

And it took a few tries, hard to get 7 inpaints right in a row xd

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsHeadSegmentation_v10_729564.json b/adetailer/anzhcsHeadSegmentation_v10_729564.json new file mode 100644 index 0000000000000000000000000000000000000000..dcf3d78ce610b66d263a33b38318118cdc83ab3a --- /dev/null +++ b/adetailer/anzhcsHeadSegmentation_v10_729564.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.If you are having issues:Activate your venvpip install dillpip install --upgrade ultralyticsThis should fix generic problems.Small segmentation model aiming to help with head inpainting/enhance.Note: It is not very accurate, and will struggle with long hair.This version is smallest available, compromise in accuracy, but it's just 6mb. Medium(50mb) brings in up a notch, but don't think i will be releasing that one in particular.Oke, medium is up.Here are validation results on ~470 images:Can also be downloaded at HF(whenever i can actually log in): https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.Use.What it does and what is it for?Head segmentation, duh.It tries to select head, including hair, while avoiding rest. It is hard to avoid rest...Model is very inconsistent with long hair.Overall it should be able to work with wide variety of styles and mediums, as i tries to create a robust enough dataset with quite a bit of abstract, traditional, real and digital content. It is not a big one though, so there is a large room for improvement.But what you might need it for? To have some fun, while reducing tedium a bit.P.S. Those inpaints were done on older version, which had a bit worse masking.All inpaints were done directly with adetailer in single pass with inpaint model.And it took a few tries, hard to get 7 inpaints right in a row xd", + "sd version": "Other", + "modelId": 326568, + "sha256": "7F5EAD971784BEED8C437C9345218B130C1D7F571182011C299E4CEC481BF2A9", + "unpackList": [ + "AnzhcHead-seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsHeadSegmentation_v10_729564.preview.png b/adetailer/anzhcsHeadSegmentation_v10_729564.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..67684b4e1d6cd40229cd6aa84a38989ca944d712 --- /dev/null +++ b/adetailer/anzhcsHeadSegmentation_v10_729564.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:912b7f05161a8d8d97263e356e9b0709b844a15cd244a729a743f413aa61590b +size 2369399 diff --git a/adetailer/anzhcsMangaPanels_v10.html b/adetailer/anzhcsMangaPanels_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..bb7b31d382b26bd3828735de6ef9c96f6e121b36 --- /dev/null +++ b/adetailer/anzhcsMangaPanels_v10.html @@ -0,0 +1,59 @@ + + + + + + +
+

Anzhc's Manga Panels Segmentation Prototype | YOLOv8 | Adetailer

+

Uploaded by Anzhc

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-04-21
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetaileryolov8 +
+
+
Download Link
+
https://civitai.com/api/download/models/458689
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.

VERY EARLY PROTOTYPE, BARELY WORKS AS INTENDED.

Small segmentation model aiming(and pretty much failing, kek) to create accurate masks of manga panels for improved inpainting quality with adetailer extension.

Particular behaviour to expect: Covrage of whole panel + extruding parts, like cross-panel objects and characters(which it will miserably fail to do btw). Extruding speech bubbles will be excluded from selection. Speech bubbles that are fully in panel will not be excluded.

Likely to perform quite a bit better at higher resolution, but examples are made at 640.

Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs

Script im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO

Usage

Put into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.

Use.

What is it for?

I use it as utility model, not necesserily for A1111. It can help you improve quality of comic pages, sequences, etc. if you like to do that sort of thing. It will try to find all manga panels with their specific borders.

Here is example from Jobless Reincarnation manga:

(Yes, it fails even fairly simple rectangles due to the way i decided to work on it, but it will get better with time(if i ever would update it, lmao(making those datasets are boring)))

Core idea is to take into consideration not only panels, but also objects related to them, if they go off-panel, while excluding objects that go off-panel, but related to other one.

+
+ +
+
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+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/anzhcsMangaPanels_v10.json b/adetailer/anzhcsMangaPanels_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..ec8214b6cee34146b7919bfc7bc4b5ffc2855725 --- /dev/null +++ b/adetailer/anzhcsMangaPanels_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "ATTENTION: IF YOU HAVE DOWNLOADED MODELS BEFORE ALREADY - RE-DOWNLOAD THEM PLEASE. I SHOULD HAVE UPDATED THEM WITH NO DILL VERSION(EXCEPT MODEL THAT WAS CHOSEN AS NEW VERSION UPDATE, SO YOU CAN RECEIVE NOTIFICATIONS.VERY EARLY PROTOTYPE, BARELY WORKS AS INTENDED.Small segmentation model aiming(and pretty much failing, kek) to create accurate masks of manga panels for improved inpainting quality with adetailer extension.Particular behaviour to expect: Covrage of whole panel + extruding parts, like cross-panel objects and characters(which it will miserably fail to do btw). Extruding speech bubbles will be excluded from selection. Speech bubbles that are fully in panel will not be excluded.Likely to perform quite a bit better at higher resolution, but examples are made at 640.Can also be downloaded at HF: https://huggingface.co/Anzhc/Anzhcs_YOLOs https://huggingface.co/Anzhc/Anzhcs_YOLOsScript im using: https://github.com/Anzhc/Training-script-for-Ultralytics-YOLO https://github.com/Anzhc/Training-script-for-Ultralytics-YOLOUsagePut into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.Use.What is it for?I use it as utility model, not necesserily for A1111. It can help you improve quality of comic pages, sequences, etc. if you like to do that sort of thing. It will try to find all manga panels with their specific borders.Here is example from Jobless Reincarnation manga:(Yes, it fails even fairly simple rectangles due to the way i decided to work on it, but it will get better with time(if i ever would update it, lmao(making those datasets are boring)))Core idea is to take into consideration not only panels, but also objects related to them, if they go off-panel, while excluding objects that go off-panel, but related to other one.", + "sd version": "Other", + "modelId": 411524, + "sha256": "44ACD912175BD8E67B68490762742F10A5E99D32AF608069B251979BCC31C148", + "unpackList": [ + "Anzhc Manga Panels -seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/anzhcsMangaPanels_v10.preview.png b/adetailer/anzhcsMangaPanels_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..bfe5bf0e21f4a7e2f2160d2981d9d2abe9bccdc1 --- /dev/null +++ b/adetailer/anzhcsMangaPanels_v10.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c886dc1a08a784c3931527b538c6ef4f43e2b8ea992c35a2b3ca7b9d41ce9870 +size 2995605 diff --git a/adetailer/belly-segV3.pt b/adetailer/belly-segV3.pt new file mode 100644 index 0000000000000000000000000000000000000000..47af326edfac5c1075a90b1b0572453d8ccd5346 --- /dev/null +++ b/adetailer/belly-segV3.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4f77e8909763c1b1bb1fa2ce996c059d790f08f74038fa5f21bd5fdf39730d96 +size 6884579 diff --git a/adetailer/boardDetectorYOLOModelForCant_v10.html b/adetailer/boardDetectorYOLOModelForCant_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..33f5a0f44eb202d84df6f0741363c4b6f0c409ce --- /dev/null +++ b/adetailer/boardDetectorYOLOModelForCant_v10.html @@ -0,0 +1,95 @@ + + + + + + +
+

Board detector YOLO model (For Can't show this (meme) SDXL) [Adetailer Model]

+

Uploaded by nk_choco_ai

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+
+
Version
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v1.0
+
Base Model
+
Other
+
Published
+
2024-02-10
+
Availability
+
Public
+
CivitAI Tags
+
+
+ objects +
+
+
Download Link
+
https://civitai.com/api/download/models/337182
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Board detector YOLO model for Can't show this (meme) SDXL.

It can be used with ADetailer and ComfyUI-Impact-Pack.

Can't show this (meme) SDXL で生成した画像のボードを検出するYOLOモデルです。

ADetailer や ComfyUI-Impact-Pack で使えます。

YOLOモデルの学習手順もアップしました。

https://github.com/nkchocoai/TrainYOLOModelTutorial/blob/master/README.md

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Prompt
1girl, solo, hatsune miku, vocaloid, aqua hair, aqua eyes, hair ornament, aqua necktie, cyan shirt, sleeveless, detached sleeves, black sleeves, black skirt, black footwear, can't show this \(meme\), holding sign, \> \<, masterpiece, best quality,<lora:cant_show_this_xl:1>
Negative prompt
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name
Seed
2031080473
Size
1024x1024
Model
animagine-xl-3.0
Sampler
Euler a
Steps
20
CFG scale
7
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+
+ + +
+
Hashes
{'model': '1449e5b0b9'}
Version
v1.6.0
Clipskip
2
Resources
[{'name': 'cant_show_this_xl', 'type': 'lora', 'weight': 1}, {'hash': '1449e5b0b9', 'name': 'animagine-xl-3.0', 'type': 'model'}]
Model hash
1449e5b0b9
Adetailer model
cant_show_this_yolov8n.pt
Adetailer prompt
burger
Adetailer version
24.1.0
"cant_show_this_xl
8b6b10c87d69"
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
1.0
Adetailer inpaint only masked
True
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+ + + + +
+ +
+
Prompt
1girl, solo, hatsune miku, vocaloid, aqua hair, aqua eyes, hair ornament, aqua necktie, cyan shirt, sleeveless, detached sleeves, black sleeves, black skirt, black footwear, can't show this \(meme\), holding sign, \> \<, masterpiece, best quality,<lora:cant_show_this_xl:1>
Negative prompt
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name
Seed
2031080476
Size
1024x1024
Model
animagine-xl-3.0
Sampler
Euler a
Steps
20
CFG scale
7
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+
+ + +
+
Hashes
{'model': '1449e5b0b9'}
Version
v1.6.0
Clipskip
2
Resources
[{'name': 'cant_show_this_xl', 'type': 'lora', 'weight': 1}, {'hash': '1449e5b0b9', 'name': 'animagine-xl-3.0', 'type': 'model'}]
Model hash
1449e5b0b9
Adetailer model
cant_show_this_yolov8n.pt
Adetailer prompt
burger
Adetailer version
24.1.0
"cant_show_this_xl
8b6b10c87d69"
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
1.0
Adetailer inpaint only masked
True
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+ \ No newline at end of file diff --git a/adetailer/boardDetectorYOLOModelForCant_v10.json b/adetailer/boardDetectorYOLOModelForCant_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..0088185f290dcfa3cce8399a2e297f13e73da37b --- /dev/null +++ b/adetailer/boardDetectorYOLOModelForCant_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Board detector YOLO model for Can't show this (meme) SDXL https://civitai.com/models/293531?modelVersionId=329899.It can be used with ADetailer https://github.com/Bing-su/adetailer and ComfyUI-Impact-Pack https://github.com/ltdrdata/ComfyUI-Impact-Pack/.Can't show this (meme) SDXL https://civitai.com/models/293531?modelVersionId=329899 \u3067\u751f\u6210\u3057\u305f\u753b\u50cf\u306e\u30dc\u30fc\u30c9\u3092\u691c\u51fa\u3059\u308bYOLO\u30e2\u30c7\u30eb\u3067\u3059\u3002ADetailer https://github.com/Bing-su/adetailer \u3084 ComfyUI-Impact-Pack https://github.com/ltdrdata/ComfyUI-Impact-Pack/ \u3067\u4f7f\u3048\u307e\u3059\u3002YOLO\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u624b\u9806\u3082\u30a2\u30c3\u30d7\u3057\u307e\u3057\u305f\u3002https://github.com/nkchocoai/TrainYOLOModelTutorial/blob/master/README.md https://github.com/nkchocoai/TrainYOLOModelTutorial/blob/master/README.md", + "sd version": "Other", + "modelId": 300228, + "sha256": "D6596E34BA7C3728DF426CF35262F4187D769DB4B9FB19C49163A0A853762E9E", + "unpackList": [ + "cant_show_this_yolov8n.pt" + ] +} \ No newline at end of file diff --git a/adetailer/boardDetectorYOLOModelForCant_v10.preview.png b/adetailer/boardDetectorYOLOModelForCant_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..9f52c3d8313ccc9ed98755153e83d3d4f735d9a0 Binary files /dev/null and b/adetailer/boardDetectorYOLOModelForCant_v10.preview.png differ diff --git a/adetailer/boobaDetection_v10_135838.html b/adetailer/boobaDetection_v10_135838.html new file mode 100644 index 0000000000000000000000000000000000000000..763ea81552028e038bbfbb64f6e31d28363cd6fe --- /dev/null +++ b/adetailer/boobaDetection_v10_135838.html @@ -0,0 +1,165 @@ + + + + + + +
+

Booba Detection (ADetailer)

+

Uploaded by Randanon

+
+
+
Version
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v1.1
+
Base Model
+
SD 1.5
+
Published
+
2023-10-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ inpainttoolsbreaststooladetailersegmentation +
+
+
Download Link
+
https://civitai.com/api/download/models/177662
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Intended for use with covered_nipples lora. See Suggested Resources below.

Place in /models/adetailer

Breast detection model for ADetailer, now with 100% more SEGGS segmentation.

Uses segmentation instead of bounding boxes so you only inpaint the relevant parts with ADetailer. If you want bounding boxes for some reason, download the 1.0 version instead. Otherwise just download v1.1.

Known issues:

  • classic "is it tits or ass" dilemma.

  • not good with sideboobs.

  • vaguely boob shaped objects might get masked, increase confidence threshold on ADetailer if this becomes a recurrent issue.

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Prompt
1girl, upper body, white evening gown, large breasts
Negative prompt
EasyNegative
Seed
3493119799
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
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+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), covered nipples
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Concept_coverednipples
1>"
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
620
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
620
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
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Prompt
1girl, standing, flat chest, maid outfit
Negative prompt
EasyNegative, arms up
Seed
4283753553
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
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+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), covered nipples"
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
768
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
768
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
64
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
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Prompt
1girl, upper body, halterneck dress, large breasts
Negative prompt
EasyNegative
Seed
1411995788
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
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+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2)
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Concept_coverednipples
1>"
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
620
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
620
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
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Prompt
1girl, microbikini, large breasts, covered nipples
Negative prompt
EasyNegative
Seed
1411995788
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
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+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), see-through, white shirt, covered nipples
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Concept_coverednipples
1>"
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
64
Adetailer inpaint width 2nd
620
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
620
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
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Prompt
3girls, standing, side by side, full body, white evening gown, large breasts
Negative prompt
EasyNegative, arms up
Seed
2233453693
Size
832x576
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), covered nipples, white evening gown"
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
768
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
768
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
64
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
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+ \ No newline at end of file diff --git a/adetailer/boobaDetection_v10_135838.json b/adetailer/boobaDetection_v10_135838.json new file mode 100644 index 0000000000000000000000000000000000000000..d6449811069fc003141d90b95413445fc7815a19 --- /dev/null +++ b/adetailer/boobaDetection_v10_135838.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Intended for use with covered_nipples lora. See Suggested Resources below.Place in /models/adetailerBreast detection model for ADetailer, now with 100% more SEGGS segmentation.Uses segmentation instead of bounding boxes so you only inpaint the relevant parts with ADetailer. If you want bounding boxes for some reason, download the 1.0 version instead. Otherwise just download v1.1.Known issues:classic \"is it tits or ass\" dilemma.not good with sideboobs.vaguely boob shaped objects might get masked, increase confidence threshold on ADetailer if this becomes a recurrent issue.", + "sd version": "SD1", + "modelId": 158108, + "sha256": "4FF93179D3E820C1AA0B44E012670A7E32220D2DC86178900F4855B615C372DC", + "unpackList": [ + "breasts_bbox.pt" + ] +} \ No newline at end of file diff --git a/adetailer/boobaDetection_v10_135838.preview.png b/adetailer/boobaDetection_v10_135838.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..b1b992d685f90e6775f4cd0f13feacaeabfc13fa Binary files /dev/null and b/adetailer/boobaDetection_v10_135838.preview.png differ diff --git a/adetailer/boobaDetection_v11.html b/adetailer/boobaDetection_v11.html new file mode 100644 index 0000000000000000000000000000000000000000..763ea81552028e038bbfbb64f6e31d28363cd6fe --- /dev/null +++ b/adetailer/boobaDetection_v11.html @@ -0,0 +1,165 @@ + + + + + + +
+

Booba Detection (ADetailer)

+

Uploaded by Randanon

+
+
+
Version
+
v1.1
+
Base Model
+
SD 1.5
+
Published
+
2023-10-07
+
Availability
+
Public
+
CivitAI Tags
+
+
+ inpainttoolsbreaststooladetailersegmentation +
+
+
Download Link
+
https://civitai.com/api/download/models/177662
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Intended for use with covered_nipples lora. See Suggested Resources below.

Place in /models/adetailer

Breast detection model for ADetailer, now with 100% more SEGGS segmentation.

Uses segmentation instead of bounding boxes so you only inpaint the relevant parts with ADetailer. If you want bounding boxes for some reason, download the 1.0 version instead. Otherwise just download v1.1.

Known issues:

  • classic "is it tits or ass" dilemma.

  • not good with sideboobs.

  • vaguely boob shaped objects might get masked, increase confidence threshold on ADetailer if this becomes a recurrent issue.

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
1girl, upper body, white evening gown, large breasts
Negative prompt
EasyNegative
Seed
3493119799
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), covered nipples
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Concept_coverednipples
1>"
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
620
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
620
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
1girl, standing, flat chest, maid outfit
Negative prompt
EasyNegative, arms up
Seed
4283753553
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), covered nipples"
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
768
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
768
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
64
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
1girl, upper body, halterneck dress, large breasts
Negative prompt
EasyNegative
Seed
1411995788
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2)
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Concept_coverednipples
1>"
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
620
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
620
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
1girl, microbikini, large breasts, covered nipples
Negative prompt
EasyNegative
Seed
1411995788
Size
576x832
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), see-through, white shirt, covered nipples
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Concept_coverednipples
1>"
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
64
Adetailer inpaint width 2nd
620
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
620
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
+
+
+ + + + +
+ +
+
Prompt
3girls, standing, side by side, full body, white evening gown, large breasts
Negative prompt
EasyNegative, arms up
Seed
2233453693
Size
832x576
Model
Based65-Final-Mix
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
kl-f8-anime2.ckpt
Hashes
{'model': 'ed526812bb'}
"(shiny
1.2), covered nipples, white evening gown"
Version
v1.6.0
Vae hash
df3c506e51
Clipskip
2
Resources
[{'hash': 'ed526812bb', 'name': 'Based65-Final-Mix', 'type': 'model'}]
Model hash
ed526812bb
Hires steps
12
"easynegative
c74b4e810b03"
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Adetailer model
face_yolov8n.pt
Adetailer prompt
smile
Adetailer version
23.9.2
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
breasts_seg.pt
Adetailer confidence
0.3
Adetailer dilate/erode
32
Adetailer inpaint width
576
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
576
Adetailer inpaint padding
32
Adetailer dilate/erode 2nd
32
Adetailer inpaint width 2nd
768
Adetailer denoising strength
0.4
Adetailer inpaint height 2nd
768
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
64
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
Adetailer use inpaint width/height 2nd
True
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/boobaDetection_v11.json b/adetailer/boobaDetection_v11.json new file mode 100644 index 0000000000000000000000000000000000000000..da8eab638e9abe54cf14fe1b43b8281a0e266130 --- /dev/null +++ b/adetailer/boobaDetection_v11.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Intended for use with covered_nipples lora. See Suggested Resources below.Place in /models/adetailerBreast detection model for ADetailer, now with 100% more SEGGS segmentation.Uses segmentation instead of bounding boxes so you only inpaint the relevant parts with ADetailer. If you want bounding boxes for some reason, download the 1.0 version instead. Otherwise just download v1.1.Known issues:classic \"is it tits or ass\" dilemma.not good with sideboobs.vaguely boob shaped objects might get masked, increase confidence threshold on ADetailer if this becomes a recurrent issue.", + "sd version": "SD1", + "modelId": 158108, + "sha256": "87F129405947ED6656865E077826B6EBAB5490DA80232A1A737B73B6A06225D5", + "unpackList": [ + "breasts_seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/boobaDetection_v11.preview.png b/adetailer/boobaDetection_v11.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..6d8a704378004bc3bdc6ff8e1c93c0bc0cc1f0ab Binary files /dev/null and b/adetailer/boobaDetection_v11.preview.png differ diff --git a/adetailer/breasts_bbox.pt b/adetailer/breasts_bbox.pt new file mode 100644 index 0000000000000000000000000000000000000000..baa7d6579e2e730e6b23d8831bfcd1b805cb51ef --- /dev/null +++ b/adetailer/breasts_bbox.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62a5a9a5d82fcf5988dcfdc94fb145172dc2fb6298a74bf2185f3b2635b93096 +size 22510254 diff --git a/adetailer/breasts_seg.pt b/adetailer/breasts_seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..e421a46a80ebf4e2ee1463e3b107e8b640395ed0 --- /dev/null +++ b/adetailer/breasts_seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87f314a908be84d2b094414b6c747395f065c2d0ff7636a51ac3bf986368640e +size 6771000 diff --git a/adetailer/cant_show_this_yolov8n.pt b/adetailer/cant_show_this_yolov8n.pt new file mode 100644 index 0000000000000000000000000000000000000000..8088305a78315716eeffaae7535a7f3dbf78227a --- /dev/null +++ b/adetailer/cant_show_this_yolov8n.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:82c1c65022c60526ebd575bca7a0d34fe5b575f6c8fe67f2682b10457eefef5b +size 6354969 diff --git a/adetailer/centaur_yolov8m-seg.pt b/adetailer/centaur_yolov8m-seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..6caf3afdd67e032a8186642d15d0d8ef7ebf6366 --- /dev/null +++ b/adetailer/centaur_yolov8m-seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23161821ed54dd62030a2f0bd3eb1dd772e2b605bcfa32bc4e50ea378b3cab14 +size 54808725 diff --git a/adetailer/cockAndBallDetection2D_v10.html b/adetailer/cockAndBallDetection2D_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..d6b4da164b6a59882877ed26f293405a7102282d --- /dev/null +++ b/adetailer/cockAndBallDetection2D_v10.html @@ -0,0 +1,67 @@ + + + + + + +
+

Cock and Ball Detection 2D edition (ADetailer)

+

Uploaded by Dremonx

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-06-01
+
Availability
+
Public
+
CivitAI Tags
+
+
+ animepenistoolsfurrymalemantooldetectionballstesticlesadetailersegmentation +
+
+
Download Link
+
https://civitai.com/api/download/models/542944
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Yolov8x segmentation model trained on images of 2d penises. This model was trained on humanoid and equine and canine penises, some more exotic ones are also in the data set.

You can find the realistic version here https://civitai.com/models/301092

How to use in ComfyUI

  • Install Impact Pack and Segment Anything models

    • Install ComfyUI-Manager from https://github.com/ltdrdata/ComfyUI-Manager

    • Open the Manger window

    • Open Install Custom Nodes

    • Search for and install ComfyUI Impact Pack

    • Open Install models

    • Search for and install a SAM model. I recommend vit_h as it is the most accurate.

    • The model sizes are

      • vit_h 2.5Gb

      • vit_L 1.2Gb

      • vit_b 366Mb

Download this model and place in ComfyUI\models\ultralytics\segm

Node setup

  • Add a FaceDetailer node from the Impact Pack

  • Add a SAMLoder node, select SAM model, and connect it to sam_model_opt

    • Note:If you run out of Vram with SDXL Models try running the SAM model on CPU by changing device mode or by switching to a smaller model.

  • Add a UltralyticsDetectorProvider node and Select the ADetailer model, connect BBOX_DETECTOR to bbox_detector, and SEGM_DETECTOR to segm_detector_opt

+
+ +
+
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/cockAndBallDetection2D_v10.json b/adetailer/cockAndBallDetection2D_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..f680f67e4b2ee9507491cf36cf9fe78e9d05cb4a --- /dev/null +++ b/adetailer/cockAndBallDetection2D_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Yolov8x segmentation model trained on images of 2d penises. This model was trained on humanoid and equine and canine penises, some more exotic ones are also in the data set.You can find the realistic version here https://civitai.com/models/301092 https://civitai.com/models/301092How to use in ComfyUIInstall Impact Pack and Segment Anything modelsInstall ComfyUI-Manager from https://github.com/ltdrdata/ComfyUI-Manager https://github.com/ltdrdata/ComfyUI-ManagerOpen the Manger windowOpen Install Custom NodesSearch for and install ComfyUI Impact PackOpen Install modelsSearch for and install a SAM model. I recommend vit_h as it is the most accurate.The model sizes arevit_h 2.5Gbvit_L 1.2Gbvit_b 366MbDownload this model and place in ComfyUI\\models\\ultralytics\\segmNode setupAdd a FaceDetailer node from the Impact PackAdd a SAMLoder node, select SAM model, and connect it to sam_model_optNote:If you run out of Vram with SDXL Models try running the SAM model on CPU by changing device mode or by switching to a smaller model.Add a UltralyticsDetectorProvider node and Select the ADetailer model, connect BBOX_DETECTOR to bbox_detector, and SEGM_DETECTOR to segm_detector_opt", + "sd version": "Other", + "modelId": 310687, + "sha256": "336E79354169D394103D6CA73C69EB30CDC8606CCA5998AE6461CF1376ABFA94", + "unpackList": [ + "2DCockAndBallYolo8x.pt" + ] +} \ No newline at end of file diff --git a/adetailer/cockAndBallDetection2D_v10.preview.png b/adetailer/cockAndBallDetection2D_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..31cad1cc59da81d3a35add54168a13b9c738147e Binary files /dev/null and b/adetailer/cockAndBallDetection2D_v10.preview.png differ diff --git a/adetailer/cockAndBallDetection_v10.html b/adetailer/cockAndBallDetection_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..89798ab94fc98209837eb58d8991ab7ec372b014 --- /dev/null +++ b/adetailer/cockAndBallDetection_v10.html @@ -0,0 +1,59 @@ + + + + + + +
+

Cock and Ball Detection (ADetailer)

+

Uploaded by Dremonx

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-03-25
+
Availability
+
Public
+
CivitAI Tags
+
+
+ penistoolsmalemantooldetectionballstesticlesadetailersegmentation +
+
+
Download Link
+
https://civitai.com/api/download/models/409837
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Yolov8x segmentation model trained on images of penises. This model was only designed to detect realistic images so it won't work for 2d or anime penises.

You can find the 2D version here https://civitai.com/models/310687

How to use in ComfyUI

  • Install Impact Pack and Segment Anything models

    • Install ComfyUI-Manager from https://github.com/ltdrdata/ComfyUI-Manager

    • Open the Manger window

    • Open Install Custom Nodes

    • Search for and install ComfyUI Impact Pack

    • Open Install models

    • Search for and install a SAM model. I recommend vit_h as it is the most accurate.

    • The model sizes are

      • vit_h 2.5Gb

      • vit_L 1.2Gb

      • vit_b 366Mb

Download this model and place in ComfyUI\models\ultralytics\segm

Node setup

  • Add a FaceDetailer node from the Impact Pack

  • Add a SAMLoder node, select SAM model, and connect it to sam_model_opt

    • Note:If you run out of Vram with SDXL Models try running the SAM model on CPU by changing device mode or by switching to a smaller model.

  • Add a UltralyticsDetectorProvider node and Select the ADetailer model, connect BBOX_DETECTOR to bbox_detector, and SEGM_DETECTOR to segm_detector_opt

+
+ +
+
+
+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/cockAndBallDetection_v10.json b/adetailer/cockAndBallDetection_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..2a1f0e339d8094ccb49e463dc7d75cd62ea7ffd0 --- /dev/null +++ b/adetailer/cockAndBallDetection_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Yolov8x segmentation model trained on images of penises. This model was only designed to detect realistic images so it won't work for 2d or anime penises.You can find the 2D version here https://civitai.com/models/310687 https://civitai.com/models/310687How to use in ComfyUIInstall Impact Pack and Segment Anything modelsInstall ComfyUI-Manager from https://github.com/ltdrdata/ComfyUI-Manager https://github.com/ltdrdata/ComfyUI-ManagerOpen the Manger windowOpen Install Custom NodesSearch for and install ComfyUI Impact PackOpen Install modelsSearch for and install a SAM model. I recommend vit_h as it is the most accurate.The model sizes arevit_h 2.5Gbvit_L 1.2Gbvit_b 366MbDownload this model and place in ComfyUI\\models\\ultralytics\\segmNode setupAdd a FaceDetailer node from the Impact PackAdd a SAMLoder node, select SAM model, and connect it to sam_model_optNote:If you run out of Vram with SDXL Models try running the SAM model on CPU by changing device mode or by switching to a smaller model.Add a UltralyticsDetectorProvider node and Select the ADetailer model, connect BBOX_DETECTOR to bbox_detector, and SEGM_DETECTOR to segm_detector_opt", + "sd version": "Other", + "modelId": 301092, + "sha256": "1CA79E2155BF7D808DFF1A171A225F9E264F02EAC24BB681F23E32A70CF96727", + "unpackList": [ + "CockAndBallYolo8x.pt" + ] +} \ No newline at end of file diff --git a/adetailer/cockAndBallDetection_v10.preview.png b/adetailer/cockAndBallDetection_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..a7ec2dcb8c55f5dd88922e13efcb48633c95d07e Binary files /dev/null and b/adetailer/cockAndBallDetection_v10.preview.png differ diff --git a/adetailer/comfyui_nipples_yolov8s-seg_sample.json b/adetailer/comfyui_nipples_yolov8s-seg_sample.json new file mode 100644 index 0000000000000000000000000000000000000000..e883bc3122a43d3d78841caf1d4800e7db515ab2 --- /dev/null +++ b/adetailer/comfyui_nipples_yolov8s-seg_sample.json @@ -0,0 +1,806 @@ +{ + "last_node_id": 20, + "last_link_id": 43, + "nodes": [ + { + "id": 5, + "type": "KSampler", + "pos": [ + 1040, + 130 + ], + "size": { + "0": 320, + "1": 260 + }, + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 24 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 5 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 6 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 7 + }, + { + "name": "seed", + "type": "INT", + "link": 37, + "widget": { + "name": "seed" + } + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 9 + ], + "shape": 3 + } + ], + "properties": { + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 880564961487694, + "randomize", + 28, + 7, + "euler_ancestral", + "normal", + 1 + ] + }, + { + "id": 8, + "type": "VAELoader", + "pos": [ + 100, + 130 + ], + "size": { + "0": 315, + "1": 58 + }, + "flags": {}, + "order": 0, + "mode": 0, + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "links": [ + 10, + 31 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "VAELoader" + }, + "widgets_values": [ + "sdxl.vae.safetensors" + ] + }, + { + "id": 17, + "type": "Seed Generator", + "pos": [ + 100, + 546 + ], + "size": { + "0": 315, + "1": 82 + }, + "flags": {}, + "order": 1, + "mode": 0, + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 37, + 38 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "Seed Generator" + }, + "widgets_values": [ 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+ }, + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 27 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 6, + 35 + ], + "shape": 3, + "slot_index": 0 + } + ], + "title": "CLIP Text Encode (Negative Prompt)", + "properties": { + "Node name for S&R": "CLIPTextEncodeNegativePrompt" + }, + "widgets_values": [ + "lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, source_pony, source_furry, source_cartoon, video, source_filmmaker" + ] + }, + { + "id": 16, + "type": "PreviewImage", + "pos": [ + 2400, + 780 + ], + "size": { + "0": 530, + "1": 610 + }, + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 42 + } + ], + "title": "Preview Image (After)", + "properties": { + "Node 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topless, nipples, black eyes, white panties, smile, indoors, looking at viewer, sitting, on bed, solo, looking at viewer, " + ] + }, + { + "id": 1, + "type": "CheckpointLoaderSimple", + "pos": [ + 100, + 320 + ], + "size": { + "0": 315, + "1": 98 + }, + "flags": {}, + "order": 4, + "mode": 0, + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 24, + 36 + ], + "slot_index": 0, + "shape": 3 + }, + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 27, + 28, + 30 + ], + "shape": 3, + "slot_index": 1 + }, + { + "name": "VAE", + "type": "VAE", + "links": null, + "shape": 3 + } + ], + "properties": { + "Node name for S&R": "CheckpointLoaderSimple" + }, + "widgets_values": [ + "pony\\waiREALMIX_v90.safetensors" + ] + }, + { + "id": 13, + "type": "FaceDetailer", + "pos": [ + 1770, + 130 + ], + "size": { + "0": 340, + "1": 852 + }, + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 29 + }, + { + "name": "model", + "type": "MODEL", + "link": 36, + "slot_index": 1 + }, + { + "name": "clip", + "type": "CLIP", + "link": 30 + }, + { + "name": "vae", + "type": "VAE", + "link": 31 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 34 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 35 + }, + { + "name": "bbox_detector", + "type": "BBOX_DETECTOR", + "link": 25, + "slot_index": 6 + }, + { + "name": "sam_model_opt", + "type": "SAM_MODEL", + "link": null + }, + { + "name": "segm_detector_opt", + "type": "SEGM_DETECTOR", + "link": 26 + }, + { + "name": "detailer_hook", + "type": "DETAILER_HOOK", + "link": null + }, + { + "name": "seed", + "type": "INT", + "link": 38, + "widget": { + "name": "seed" + } + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": [ + 42 + ], + "slot_index": 0, + "shape": 3 + }, + { + "name": "cropped_refined", + "type": "IMAGE", + "links": null, + "shape": 6 + }, + { + "name": "cropped_enhanced_alpha", + "type": "IMAGE", + "links": [ + 39 + ], + "slot_index": 2, + "shape": 6 + }, + { + "name": "mask", + "type": "MASK", + "links": null, + "shape": 3 + }, + { + "name": "detailer_pipe", + "type": "DETAILER_PIPE", + "links": null, + "shape": 3 + }, + { + "name": "cnet_images", + "type": "IMAGE", + "links": null, + "shape": 6 + } + ], + "properties": { + "Node name for S&R": "FaceDetailer" + }, + "widgets_values": [ + 512, + true, + 1024, + 816090896875040, + "randomize", + 28, + 7, + "dpmpp_2m_sde_gpu", + "karras", + 0.3, + 5, + true, + true, + 0.5, + 10, + 3, + "mask-points", + 0, + 0.5, + 0, + 0.7, + "False", + 10, + "nipples, ", + 1, + false, + 20 + ] + } + ], + "links": [ + [ + 5, + 3, + 0, + 5, + 1, + "CONDITIONING" + ], + [ + 6, + 4, + 0, + 5, + 2, + "CONDITIONING" + ], + [ + 7, + 6, + 0, + 5, + 3, + "LATENT" + ], + [ + 9, + 5, + 0, + 7, + 0, + "LATENT" + ], + [ + 10, + 8, + 0, + 7, + 1, + "VAE" + ], + [ + 24, + 1, + 0, + 5, + 0, + "MODEL" + ], + [ + 25, + 14, + 0, + 13, + 6, + "BBOX_DETECTOR" + ], + [ + 26, + 14, + 1, + 13, + 8, + "SEGM_DETECTOR" + ], + [ + 27, + 1, + 1, + 4, + 0, + "CLIP" + ], + [ + 28, + 1, + 1, + 3, + 0, + "CLIP" + ], + [ + 29, + 7, + 0, + 13, + 0, + "IMAGE" + ], + [ + 30, + 1, + 1, + 13, + 2, + "CLIP" + ], + [ + 31, + 8, + 0, + 13, + 3, + "VAE" + ], + [ + 34, + 3, + 0, + 13, + 4, + "CONDITIONING" + ], + [ + 35, + 4, + 0, + 13, + 5, + "CONDITIONING" + ], + [ + 36, + 1, + 0, + 13, + 1, + "MODEL" + ], + [ + 37, + 17, + 0, + 5, + 4, + "INT" + ], + [ + 38, + 17, + 0, + 13, + 10, + "INT" + ], + [ + 39, + 13, + 2, + 18, + 0, + "IMAGE" + ], + [ + 42, + 13, + 0, + 16, + 0, + "IMAGE" + ], + [ + 43, + 7, + 0, + 15, + 0, + "IMAGE" + ] + ], + "groups": [], + "config": {}, + "extra": { + "ds": { + "scale": 0.9090909090909091, + "offset": [ + -691.2857118567817, + 105.55191431526545 + ] + } + }, + "version": 0.4 +} \ No newline at end of file diff --git a/adetailer/comicSpeechBubbleDetection_mediumV10.html b/adetailer/comicSpeechBubbleDetection_mediumV10.html new file mode 100644 index 0000000000000000000000000000000000000000..7850d311caf277c38026289abe0c59dcb8227694 --- /dev/null +++ b/adetailer/comicSpeechBubbleDetection_mediumV10.html @@ -0,0 +1,67 @@ + + + + + + +
+

Comic Speech Bubble Detection - ADetailer - (comic_speechbubble_m_yolov8)

+

Uploaded by mnemic

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+
+
Version
+
Medium v1.0
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Base Model
+
SD 1.5
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Published
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2024-02-18
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Availability
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Public
+
CivitAI Tags
+
+
+ tooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/350006
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

A Yolov8 detection model that detects comic book speech bubbles and sound effects in images.

The model can be used as an ADetailer model (for Automatic1111 / Stable Diffusion use), or using other inference scripts to return detection bounding boxes of watermarks.

A small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article.

This model is only meant for research purposes. The model is entirely trained on the following dataset: yolomanga/speechballoon_comic However, since the dataset is created entirely out of Marvel comic book panels, I think the original author cannot licence the images as CC4. I do not think this model can ba used commercially either.

comic_speechbubble_m_yolov8_v1: image/jpeg

comic_speechbubble_s_yolov8_v1

Note:

The large preview images may not be from the correct model.

The A1111 screenshots are from the correct version however.

The medium model performs slightly better in general.

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+ \ No newline at end of file diff --git a/adetailer/comicSpeechBubbleDetection_mediumV10.json b/adetailer/comicSpeechBubbleDetection_mediumV10.json new file mode 100644 index 0000000000000000000000000000000000000000..44457d1a56f70c7c5ca099c961abb0f296f453bd --- /dev/null +++ b/adetailer/comicSpeechBubbleDetection_mediumV10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "A Yolov8 detection model that detects comic book speech bubbles and sound effects in images.The model can be used as an ADetailer https://github.com/Bing-su/adetailer model (for Automatic1111 https://github.com/AUTOMATIC1111/ / Stable Diffusion use), or using other inference scripts https://github.com/MNeMoNiCuZ/yolov8-scripts to return detection bounding boxes of watermarks.A small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model.This model is only meant for research purposes. The model is entirely trained on the following dataset: yolomanga/speechballoon_comic https://universe.roboflow.com/yolomanga/speechballoon_comic However, since the dataset is created entirely out of Marvel comic book panels, I think the original author cannot licence the images as CC4. I do not think this model can ba used commercially either.comic_speechbubble_m_yolov8_v1: comic_speechbubble_s_yolov8_v1Note:The large preview images may not be from the correct model.The A1111 screenshots are from the correct version however.The medium model performs slightly better in general.", + "sd version": "SD1", + "modelId": 311872, + "sha256": "0F41FBEBDC453EC23AF357D18491D89F83FB3A8FDC21EEB6FD4775A9B9FAEC40", + "unpackList": [ + "comic_speechbubble_m_yolov8_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/comicSpeechBubbleDetection_mediumV10.preview.png b/adetailer/comicSpeechBubbleDetection_mediumV10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..5556883bc4945e28e9f797071d2e1e663a733a6f --- /dev/null +++ b/adetailer/comicSpeechBubbleDetection_mediumV10.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eaa518525b959e61a92dca6f2b4fb0b4ea20417d5832cf437ad0a8242a1f1a66 +size 1143359 diff --git a/adetailer/comic_speechbubble_m_yolov8_v1.pt b/adetailer/comic_speechbubble_m_yolov8_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..f7ad3d3eb538281d38454da6c3ef98a5fe61b052 --- /dev/null +++ b/adetailer/comic_speechbubble_m_yolov8_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0754280215ffe8f7a8fc2a6081c2f7aec7a5d4162a459c677f75144847476bc5 +size 52039361 diff --git a/adetailer/crotchTattooBbox_v1.html b/adetailer/crotchTattooBbox_v1.html new file mode 100644 index 0000000000000000000000000000000000000000..eab9050bc3fb0186625c0c803b3f44a084c3ed31 --- /dev/null +++ b/adetailer/crotchTattooBbox_v1.html @@ -0,0 +1,169 @@ + + + + + + +
+

Crotch Tattoo BBox - ADetailer

+

Uploaded by Pitpe11

+
+
+
Version
+
v1
+
Base Model
+
Other
+
Published
+
2024-05-18
+
Availability
+
Public
+
CivitAI Tags
+
+
+ pubic tattootoolwomb tattooadetailercrotch tattooyolov8bounding box +
+
+
Download Link
+
https://civitai.com/api/download/models/514796
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Crotch Tattoo BBox for ADetailer

Credits to mnemic for this article and Anzhc for this ADetailer model (see for more information)

Tips for use:

  • I'm pretty sure the tag is 'pubic tattoo' but that can lead to pubic hair, so if you don't like that don't forget to add it to your negatives (adetailer negatives too if you use custom prompts for it)

  • Depending on model there's also 'womb tattoo' and 'stomach tattoo' and 'crotch tattoo' and it might detect those too as long as they generate the same thing (yes that thing)

  • Mainly trained on anime styled images but should work for anything™️ (I'll try to increase variety in the dataset, maybe™️)

Installation:

  1. Download the zip archive

  2. Extract the model into your ADetailer model folder

    • For the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailer

    • For ComfyUI it should be in models/ultralytics/bbox

  3. Start it up (full restart if already had it open) and select the model from the ADetailer tab/node (tip for webui: you can go to Settings→Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models)

  4. Make sure to have correct Detection thresholds/inpaint strength and so on for your images

  5. Generate them tattoos!

It works surprisingly well for what the very limited dataset is. Try it and send feedback, so I can maybe improve this. Thanks! 😊

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Prompt
score_9,score_8_up,source_anime,1girl, pubic tattoo, shirt, stomach cutout, jeans
Negative prompt
(NegPDXL-DHP:1), pubic hair
Seed
1975028388
Size
768x1152
Model
AutismMixPonySDXL
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
SharpSpectrumVAEXL.safetensors
Hashes
{'vae': '62c7c729ad', 'model': '821aa5537f', 'embed:NegPDXL-DHP': 'ece7b73892'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Hires steps
10
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_OPScaler-Anime
Adetailer model
PitCTattoo-bbox-e200-best.pt
Adetailer prompt
pink pubic tattoo
Adetailer version
24.4.2
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1152
Adetailer inpaint height
1152
Adetailer inpaint padding
28
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
+
+
+ + + + +
+ +
+
Prompt
score_9,score_8_up,source_anime,1girl, pubic tattoo, shirt, stomach cutout, jeans
Negative prompt
(NegPDXL-DHP:1), pubic hair
Seed
1975028388
Size
768x1152
Model
AutismMixPonySDXL
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
SharpSpectrumVAEXL.safetensors
Hashes
{'vae': '62c7c729ad', 'model': '821aa5537f', 'embed:NegPDXL-DHP': 'ece7b73892'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Hires steps
10
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_OPScaler-Anime
Adetailer model
PitCTattoo-bbox-e200-best.pt
Adetailer prompt
pink pubic tattoo
Adetailer version
24.4.2
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1152
Adetailer inpaint height
1152
Adetailer inpaint padding
28
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
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+
+ + + + +
+ +
+
Prompt
score_9,score_8_up,source_anime,1girl, pubic tattoo, shirt, stomach cutout, jeans
Negative prompt
(NegPDXL-DHP:1), pubic hair
Seed
1975028388
Size
768x1152
Model
AutismMixPonySDXL
Sampler
DPM++ 2M Karras
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
SharpSpectrumVAEXL.safetensors
Hashes
{'vae': '62c7c729ad', 'model': '821aa5537f', 'embed:NegPDXL-DHP': 'ece7b73892'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Hires steps
10
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_OPScaler-Anime
Adetailer model
PitCTattoo-bbox-e200-best.pt
Adetailer prompt
{}
Adetailer version
24.4.2
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1152
Adetailer inpaint height
1152
Adetailer inpaint padding
28
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
+
+
+ + + + +
+ +
+
Prompt
score_9,score_8_up,source_anime,rating_safe, 1girl, pubic tattoo, shirt, stomach cutout, jeans
Negative prompt
(NegPDXL-DHP:1), pubic hair, cleavage, cleavage cutout
Seed
3433070083
Size
768x1152
Model
AutismMixPonySDXL
Sampler
DPM++ 3M SDE Karras
Steps
25
CFG scale
5.5
+
+
+ + +
+
Vae
SharpSpectrumVAEXL.safetensors
Hashes
{'vae': '62c7c729ad', 'model': '821aa5537f', 'embed:NegPDXL-DHP': 'ece7b73892'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Ti hashes
{'NegPDXL-DHP': 'ece7b738928c'}
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Hires steps
10
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_OPScaler-Anime
Adetailer model
PitCTattoo-bbox-e200-best.pt
Adetailer prompt
pink pubic tattoo
Adetailer version
24.4.2
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1152
Adetailer inpaint height
1152
Adetailer inpaint padding
28
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
+
+
+ + + + +
+ +
+
Prompt
score_9,score_8_up,source_anime,rating_safe, 1girl, pubic tattoo, shirt, stomach cutout, jeans
Negative prompt
(NegPDXL-DHP:1), pubic hair, cleavage, cleavage cutout
Seed
3433070083
Size
768x1152
Model
AutismMixPonySDXL
Sampler
DPM++ 3M SDE Karras
Steps
25
CFG scale
5.5
+
+
+ + +
+
Vae
SharpSpectrumVAEXL.safetensors
Hashes
{'vae': '62c7c729ad', 'model': '821aa5537f', 'embed:NegPDXL-DHP': 'ece7b73892'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Ti hashes
{'NegPDXL-DHP': 'ece7b738928c'}
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Hires steps
10
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_OPScaler-Anime
Adetailer model
PitCTattoo-bbox-e200-best.pt
Adetailer prompt
pink pubic tattoo
Adetailer version
24.4.2
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1152
Adetailer inpaint height
1152
Adetailer inpaint padding
28
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
+
+
+ + + + +
+ +
+
Prompt
score_9,score_8_up,source_anime,rating_safe, 1girl, pubic tattoo, shirt, stomach cutout, jeans
Negative prompt
(NegPDXL-DHP:1), pubic hair, cleavage, cleavage cutout
Seed
3433070083
Size
768x1152
Model
AutismMixPonySDXL
Sampler
DPM++ 3M SDE Karras
Steps
25
CFG scale
5.5
+
+
+ + +
+
Vae
SharpSpectrumVAEXL.safetensors
Hashes
{'vae': '62c7c729ad', 'model': '821aa5537f', 'embed:NegPDXL-DHP': 'ece7b73892'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Ti hashes
{'NegPDXL-DHP': 'ece7b738928c'}
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Hires steps
10
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_OPScaler-Anime
Adetailer model
PitCTattoo-bbox-e200-best.pt
Adetailer prompt
{}
Adetailer version
24.4.2
Denoising strength
0.5
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1152
Adetailer inpaint height
1152
Adetailer inpaint padding
28
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer use inpaint width height
True
+
+
+ + + + +
+ +
+
Prompt
score_9,score_8_up,source_anime,1girl, robin, breasts, very long hair, solo, long hair, full body, blue hair,head wings, wings, breast curtains, huge breasts, revealing clothes, pelvic curtain, transparent background, tattoo, hair between eyes, looking at viewer, blue eyes, nun, tachi-e, feathered wings, smile, black wings, habit, pubic tattoo, standing, no panties, absurdly long hair, feathers, thighlet, black feathers, jewelry, wide hips, dress, simple background, long sleeves, closed mouth, veil, official alternate costume, thighs, thigh strap, covered nipples, black footwear, curvy, blush, wide sleeves, cleavage, <lora:Robin-PonyXL:1>
Negative prompt
(NegPDXL-DHP:1), pubic hair
Seed
3433070083
Size
1152x1152
Model
MHXLDeadHorseProject-v1.0
Sampler
DPM++ 3M SDE Karras
Steps
25
CFG scale
5.5
+
+
+ + +
+
Vae
SharpSpectrumVAEXL.safetensors
Hashes
{'vae': '62c7c729ad', 'model': 'dc22581db0', 'embed:NegPDXL-DHP': 'ece7b73892', 'lora:Robin-PonyXL': '165081b05812'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Ti hashes
{'NegPDXL-DHP': 'ece7b738928c'}
Resources
[{'hash': '165081b05812', 'name': 'Robin-PonyXL', 'type': 'lora', 'weight': 1}, {'hash': 'dc22581db0', 'name': 'MHXLDeadHorseProject-v1.0', 'type': 'model'}]
Model hash
dc22581db0
Hires steps
10
Hires prompt
{'Robin-PonyXL': '1>'}
Hires upscale
1.5
Hires upscaler
4x_OPScaler-Anime
Adetailer model
PitCTattoo-bbox-e200-best.pt
Adetailer prompt
{}
Adetailer version
24.4.2
Denoising strength
0.5
Adetailer mask blur
4
Adetailer model 2nd
AnzhcFace-seg.pt
Adetailer model 3rd
PitEyeDetailer-v2-seg.pt
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint width
1152
Adetailer mask blur 2nd
4
Adetailer mask blur 3rd
4
Adetailer confidence 2nd
0.3
Adetailer confidence 3rd
0.3
Adetailer inpaint height
1152
Adetailer inpaint padding
28
Adetailer dilate erode 2nd
4
Adetailer dilate erode 3rd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer inpaint padding 3rd
32
Adetailer denoising strength 2nd
0.4
Adetailer denoising strength 3rd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer inpaint only masked 3rd
True
Adetailer use inpaint width height
True
+ \ No newline at end of file diff --git a/adetailer/crotchTattooBbox_v1.json b/adetailer/crotchTattooBbox_v1.json new file mode 100644 index 0000000000000000000000000000000000000000..3391f7fe6c2db902620c32a5fe9f7ac0939875b5 --- /dev/null +++ b/adetailer/crotchTattooBbox_v1.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Crotch Tattoo BBox for ADetailerCredits to mnemic https://civitai.com/user/mnemic for this article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model and Anzhc https://civitai.com/user/Anzhc for this ADetailer model https://civitai.com/models/293448/anzhcs-face-segmentation-prototype-or-yolov8-or-adetailer-model?modelVersionId=331333 (see for more information)Tips for use:I'm pretty sure the tag is 'pubic tattoo' but that can lead to pubic hair, so if you don't like that don't forget to add it to your negatives (adetailer negatives too if you use custom prompts for it)Depending on model there's also 'womb tattoo' and 'stomach tattoo' and 'crotch tattoo' and it might detect those too as long as they generate the same thing (yes that thing)Mainly trained on anime styled images but should work for anything\u2122\ufe0f (I'll try to increase variety in the dataset, maybe\u2122\ufe0f)Installation:Download the zip archiveExtract the model into your ADetailer model folderFor the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailerFor ComfyUI it should be in models/ultralytics/bboxStart it up (full restart if already had it open) and select the model from the ADetailer tab/node (tip for webui: you can go to Settings\u2192Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models)Make sure to have correct Detection thresholds/inpaint strength and so on for your imagesGenerate them tattoos!It works surprisingly well for what the very limited dataset is. Try it and send feedback, so I can maybe improve this. Thanks! \ud83d\ude0a", + "sd version": "Other", + "modelId": 462606, + "sha256": "1BD2472B1A3F33010532E7F9224E6FA2207F2FC783D1C84F454A7FDE5385A145", + "unpackList": [ + "PitCTattoo-bbox.pt" + ] +} \ No newline at end of file diff --git a/adetailer/crotchTattooBbox_v1.preview.png b/adetailer/crotchTattooBbox_v1.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..e9cb01d43e05d08c30c48eae0cb305647a4ddd4a Binary files /dev/null and b/adetailer/crotchTattooBbox_v1.preview.png differ diff --git a/adetailer/cutieMarkAdetailer_v10.html b/adetailer/cutieMarkAdetailer_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..ad4bc0049361110b7ff20ef9eee533adc3397bad --- /dev/null +++ b/adetailer/cutieMarkAdetailer_v10.html @@ -0,0 +1,75 @@ + + + + + + +
+

Cutie Mark ADetailer

+

Uploaded by goonpup

+
+
+
Version
+
v1.0
+
Base Model
+
Other
+
Published
+
2024-11-24
+
Availability
+
Public
+
CivitAI Tags
+
+
+ conceptmy little ponyfurrymlpadetaileradetail +
+
+
Download Link
+
https://civitai.com/api/download/models/1096508
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Detect cutie marks, either deformed or clean, and replace/correct them with ADetailer.

+
+ +
+
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/cutieMarkAdetailer_v10.json b/adetailer/cutieMarkAdetailer_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..2aaa48189b813b8e7a5118660ac9e1058f1efe7e --- /dev/null +++ b/adetailer/cutieMarkAdetailer_v10.json @@ -0,0 +1,11 @@ +{ + "activation text": "", + "description": "Detect cutie marks, either deformed or clean, and replace/correct them with ADetailer.", + "sd version": "Other", + "modelId": 979007, + "sha256": "718958EEB6B29208D1D193D42F8ED793846126FF29A37E19C0B36FF0C1246445", + "unpackList": [ + "cutiemark.pt", + "__MACOSX/._cutiemark.pt" + ] +} \ No newline at end of file diff --git a/adetailer/cutieMarkAdetailer_v10.preview.png b/adetailer/cutieMarkAdetailer_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..695d754c9403776288033d6c06878f08e6cbfc25 Binary files /dev/null and b/adetailer/cutieMarkAdetailer_v10.preview.png differ diff --git a/adetailer/cutiemark.pt b/adetailer/cutiemark.pt new file mode 100644 index 0000000000000000000000000000000000000000..ce49beb7ee551c30d0133cc621766e485e9b6e2b --- /dev/null +++ b/adetailer/cutiemark.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe0456b05c810a6465127eec4219a89f0a7dcf749cc6ed2d6104d2301b7337f4 +size 22568291 diff --git a/adetailer/dataset/CocoGetClasses.py b/adetailer/dataset/CocoGetClasses.py new file mode 100644 index 0000000000000000000000000000000000000000..4648f1a9a87fb3cfb3f96a45f2d9384dc9a54c2f --- /dev/null +++ b/adetailer/dataset/CocoGetClasses.py @@ -0,0 +1,40 @@ +""" +This script extracts the class names from a COCO format JSON annotation file and saves them into a text file in a format suitable for use in machine learning frameworks, specifically formatted for a YAML configuration file. The COCO (Common Objects in Context) format is a standard for object detection datasets, where 'categories' represent the different classes of objects annotated in the dataset. + +To use this script, ensure it is in the same directory as your COCO annotation file, typically named '_annotations.coco.json'. The script reads the class names from the 'categories' section of the JSON file, formats them according to the YAML list format, and saves them to a specified output file. This output can then be used to configure models or datasets in machine learning projects that require a list of class names, especially in object detection tasks. + +Usage: +1. Place this script in the same directory as your COCO format JSON annotation file. +2. If your annotation file has a different name from '_annotations.coco.json', update the 'coco_json' variable below. +3. Run the script. It will extract the class names, format them, and save them to the specified output file. +""" +# Imports +import json + +# Path to your COCO JSON file +coco_json = '_annotations.coco.json' + +# Output file path +output_file = 'classes.yaml' + +# Extracts class names from a COCO JSON file and saves them in a YAML-friendly format. +def extract_classes_and_save(coco_json, output_file): + # Load the COCO JSON file + with open(coco_json) as file: + data = json.load(file) + + # Extract class names + classes = [category['name'] for category in data['categories']] + num_classes = len(classes) + + # Format for YAML + formatted_classes = ", ".join([f"'{cls}'" for cls in classes]) + yaml_content = f"nc: {num_classes} # number of classes\nnames: [{formatted_classes}]" + + # Save to file + with open(output_file, 'w') as f: + f.write(yaml_content) + print(f"Classes saved to {output_file}") + +# Extract classes and save +extract_classes_and_save(coco_json, output_file) \ No newline at end of file diff --git a/adetailer/dataset/CocoToYoloAnnotations.py b/adetailer/dataset/CocoToYoloAnnotations.py new file mode 100644 index 0000000000000000000000000000000000000000..a6f6754377310bc918b34494e5ea9d1b25fa8dba --- /dev/null +++ b/adetailer/dataset/CocoToYoloAnnotations.py @@ -0,0 +1,65 @@ +""" +This script is designed to convert annotation files from COCO format to YOLO format. The COCO format is a popular JSON-based format for object detection that includes information such as image annotations, object instances, object segmentation, and categorization. The YOLO format is simpler, using plain text files where each line represents one object instance in an image, with the object class and bounding box coordinates normalized to the range [0, 1]. + +To use this script, ensure it is placed in the same directory as your COCO annotation file, typically named '_annotations.coco.json'. The script will create a new directory for the YOLO formatted annotations, converting each annotation in the COCO file into the YOLO format, where each image's annotations are stored in a separate text file with the same base name as the image file. + +Usage: +1. Place this script in the same directory as your COCO format JSON annotation file. +2. Modify the 'coco_json' variable below if your COCO file has a different name. +3. Run the script. It will read the COCO annotations, convert them to YOLO format, and save them in the specified output directory. + +Note: The following code should also work. I just found it after creating this script. +from ultralytics.data.converter import convert_coco +convert_coco(labels_dir='path/to/coco/annotations/') +""" +# Imports +import json +import os + +# Path to your COCO JSON file +coco_json = '_annotations.coco.json' + +# Output directory to store YOLO formatted annotation files +output_dir = 'yolo_annotations' + +# Converts COCO JSON format annotations to YOLO format text files. +def convert_coco_to_yolo(coco_json, output_dir): + # Load the COCO JSON file + with open(coco_json) as file: + data = json.load(file) + + # Create output directory if it doesn't exist + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + # Extract image dimensions + image_dimensions = {image['id']: (image['width'], image['height']) for image in data['images']} + + # Process annotations + for annotation in data['annotations']: + image_id = annotation['image_id'] + category_id = annotation['category_id'] - 1 # Subtract 1 to start class IDs from 0 + bbox = annotation['bbox'] + + # Calculate normalized values + file_name = next((img['file_name'] for img in data['images'] if img['id'] == image_id), None) + if file_name is None: + continue + + base_file_name = os.path.splitext(file_name)[0] + width, height = image_dimensions[image_id] + x_center = (bbox[0] + bbox[2] / 2) / width + y_center = (bbox[1] + bbox[3] / 2) / height + norm_width = bbox[2] / width + norm_height = bbox[3] / height + + # Prepare the line to write to the file + line = f"{category_id} {x_center} {y_center} {norm_width} {norm_height}\n" + + # Write to corresponding txt file + output_file = os.path.join(output_dir, f"{base_file_name}.txt") + with open(output_file, 'a') as f: + f.write(line) + +# Convert the dataset +convert_coco_to_yolo(coco_json, output_dir) diff --git a/adetailer/dataset/data.yaml b/adetailer/dataset/data.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b5b713d1a992f5a80c21ddc4ce5106db4328b64c --- /dev/null +++ b/adetailer/dataset/data.yaml @@ -0,0 +1,15 @@ +# This config is for running Yolov8 training locally. + +train: dataset/train # contains your training data +val: dataset/valid # contains your validation data (start with ~10% of your training data here) +test: dataset/test # contatins your test data (optional). You only need this if you are going to run test scripts from this directory. I would place the images in the '/generate_input'-folder instead. + +# Classes configuration +nc: 2 # number of classes +names: ['watermark', 'watermark'] + +# Example with multiple classes (https://universe.roboflow.com/yolomanga/speechballoon_comic) +# nc: 7 # number of classes +# names: ['SpeechBalloons', 'General_speech', 'hit_sound', 'blast_sound', 'narration speech', 'thought_speech', 'roar'] + +# Use the /dataset/CocoGetClasses.py-script to get the class-info from your coco-dataset if you don't know the number of classes and their names \ No newline at end of file diff --git a/adetailer/deepfashion2_yolov8s-seg.pt b/adetailer/deepfashion2_yolov8s-seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..513307f6ae53bd57946ff5c4af897563bd8f0ad6 --- /dev/null +++ b/adetailer/deepfashion2_yolov8s-seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c319c15e86443ea61f70b40620909d737c47ff2a39381536503ac5c54772f8ac +size 23852321 diff --git a/adetailer/etoAdetailerPrompts_v10.html b/adetailer/etoAdetailerPrompts_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..fb725697f471b74b9dda5030449fbccb6a99dc66 --- /dev/null +++ b/adetailer/etoAdetailerPrompts_v10.html @@ -0,0 +1,151 @@ + + + + + + +
+

ETO adetailer prompts

+

Uploaded by saehara151

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2024-01-27
+
Availability
+
Public
+
CivitAI Tags
+
+
+ prompttooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/315308
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Hello:

These are the prompts I use with adetailer for my ETO_OC character.

It is useful for when the model makes strange faces or when you want to change the expression.

It is also very useful because if I put what I want (hazel eyes) it suddenly puts the entire image in that range of colors. Or if the prompt is (pink beam) it also makes her eyes pink.

In setting I have gone to the adetailer section and asked it to save the original image, so I can compare which one I like best, sometimes when making the change, it does not look as good as the original.

​You must use the face filter first and then the eye filter.

You can put the wildcard etoexpression in the face prompts to change the expressions randomly. https://civitai.com/models/279913

You can put the etocolours wildcard in the eye prompts to change the eye colors. Or using the person adetailer to change hair color.

Here are the loras for my adetailer:

https://civitai.com/models/80690

https://civitai.com/models/128358

https://civitai.com/models/207430

https://civitai.com/models/208714

https://civitai.com/models/58390

https://civitai.com/models/198893

https://civitai.com/models/198876

https://civitai.com/models/5693

https://civitai.com/models/90461

https://civitai.com/models/55743

https://civitai.com/models/256740

neg

https://civitai.com/models/159776

https://civitai.com/models/100191

https://civitai.com/models/58726

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Prompt
(masterpiece:1.4), high quality, high definition, sharp focus, detailed clothes, detailed body, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail, detailed hands, (detailed eyes:1.3), animation, illustration, highly detailed, highres, extremely detailed, <lora:hyperdenoiser_v090:0.6>, <lora:perfetfingers:1>, <lora:hyperrefiner_v090:0.6>, <lora:add_detail:0.3>, (large breasts), (parted bangs:1.6), skindentation, <lora:ETO_OC:0.2> ETO-OC, <lora:ETO_OCC006:0.7>, ETO_OCC, (curly hair:1.3), (long hair:1.1), black hair, thick eyebrows, pale skin, curvy, (plump), fat, 1girl, (hazel eyes:1.3), looking at viewer, mature female, (Medium close-up), (Pearl Pink bikini), (Intense), (Arms up above head, palms touching,)
Negative prompt
(worst quality:1.6), (low quality:1.4), (low detail face:1.6), (bad eyes:1.2), (multiple views:1.3), EasyNegativeV2, <lora:wrong003:0.9>, wrong, (fringe:1.5), (bangs:1.5), (facial tattoo), (facial mark), (hair between eyes:1.6), (blue eyes:1.4), an12, SimpleNegativeV3, Aissist-supercharge-neg, AissistV2-neg, bad-hands-5-neg, gross-neg,
Seed
1859260272
Size
512x768
Model
aingdiffusion_v155
Sampler
Euler a
Steps
40
CFG scale
7
+
+
+ + +
+
Rng
NV
Vae
anythingKlF8Anime2VaeFtMse840000_blessed2Pt.pt
(bangs
1.2), (facial tattoo), (facial mark)
(plump
1.2), smiling, (apple cheeks), (round face)
Eto_oc
0.2> ETO-OC, (round chin), black hair
Hashes
{'vae': '785e6ed87c', 'model': '63b4f66fe2', 'embed:an12': '86ca297e68', 'lora:ETO_OC': '72b5fdb030', 'embed:gross-neg': '400586a2bc', 'lora:ETO_OCC006': 'fad86a2f8c', 'lora:add_detail': '47aaaf0d29', 'lora:perfetfingers': '44c06c3111', 'embed:AissistV2-neg': 'e056510340', 'embed:EasyNegativeV2': '339cc9210f', 'embed:bad-hands-5-neg': 'aa7651be15', 'embed:SimpleNegativeV3': '3dc1192fe7', 'lora:hyperrefiner_v090': 'c493cebdf0', 'lora:hyperdenoiser_v090': 'd9045f3a2b', 'embed:Aissist-supercharge-neg': '8f478af0d1'}
Tareme
1> "
(fringe
1.2)
Vae hash
b8821a5d58
Clipskip
2
Wrong003
0.9>, wrong
(bad eyes
1.2)
Resources
[{'name': 'hyperdenoiser_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'perfetfingers', 'type': 'lora', 'weight': 1}, {'name': 'hyperrefiner_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'add_detail', 'type': 'lora', 'weight': 0.3}, {'name': 'ETO_OC', 'type': 'lora', 'weight': 0.2}, {'name': 'ETO_OCC006', 'type': 'lora', 'weight': 0.7}, {'hash': '63b4f66fe2', 'name': 'aingdiffusion_v155', 'type': 'model'}]
(big mouth
1.6)"
Eto_occ006
0.8>, ETO_OCC, (thick eyebrows), (pale skin), curvy
Model hash
63b4f66fe2
Add_detail
0.4>
(low quality
1.4)
(pointy ears
1.3), EasyNegativeV2
"(masterpiece
1.4), high quality, high definition, sharp focus, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail
(detailed eyes
1.3), animation, illustration, highly detailed, highres, extremely detailed
Taremeeyes_v10
1.7>
"(worst quality
1.6)
Adetailer model
face_yolov8n.pt
(low detail face
1.6)
Hyperrefiner_v090
0.6>
Sensualface_type1
0.6>, (round nose)
(hair between eyes
1.6), an12, (small nose)
Hyperdenoiser_v090
0.6>, seductive smile
Perfecteyes-000007
0.8> perfecteyes
Adetailer mask blur
4
Adetailer model 2nd
Eyes.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"(brown eyes), (dark green eyes), (olive eyes)
(gradient colour eyes
1.5), (multicoloured eyes), hooded eyes, down-turned eyes
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
(masterpiece:1.4), high quality, high definition, sharp focus, detailed clothes, detailed body, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail, detailed hands, (detailed eyes:1.3), animation, illustration, highly detailed, highres, extremely detailed, <lora:hyperdenoiser_v090:0.6>, <lora:perfetfingers:1>, <lora:hyperrefiner_v090:0.6>, <lora:add_detail:0.3>, (large breasts), (parted bangs:1.6), skindentation, <lora:ETO_OC:0.2> ETO-OC, <lora:ETO_OCC006:0.7>, ETO_OCC, (curly hair:1.3), (long hair:1.1), black hair, thick eyebrows, pale skin, curvy, (plump), fat, 1girl, (hazel eyes:1.3), looking at viewer, mature female, (Medium close-up), (Pearl Pink bikini), (Intense), (Arms up above head, palms touching,)
Negative prompt
(worst quality:1.6), (low quality:1.4), (low detail face:1.6), (bad eyes:1.2), (multiple views:1.3), EasyNegativeV2, <lora:wrong003:0.9>, wrong, (fringe:1.5), (bangs:1.5), (facial tattoo), (facial mark), (hair between eyes:1.6), (blue eyes:1.4), an12, SimpleNegativeV3, Aissist-supercharge-neg, AissistV2-neg, bad-hands-5-neg, gross-neg,
Seed
1859260272
Size
512x768
Model
aingdiffusion_v155
Sampler
Euler a
Steps
40
CFG scale
7
+
+
+ + +
+
Rng
NV
Vae
anythingKlF8Anime2VaeFtMse840000_blessed2Pt.pt
(bangs
1.2), (facial tattoo), (facial mark)
(plump
1.2), smiling, (apple cheeks), (round face)
Eto_oc
0.2> ETO-OC, (round chin), black hair
Hashes
{'vae': '785e6ed87c', 'model': '63b4f66fe2', 'embed:an12': '86ca297e68', 'lora:ETO_OC': '72b5fdb030', 'embed:gross-neg': '400586a2bc', 'lora:ETO_OCC006': 'fad86a2f8c', 'lora:add_detail': '47aaaf0d29', 'lora:perfetfingers': '44c06c3111', 'embed:AissistV2-neg': 'e056510340', 'embed:EasyNegativeV2': '339cc9210f', 'embed:bad-hands-5-neg': 'aa7651be15', 'embed:SimpleNegativeV3': '3dc1192fe7', 'lora:hyperrefiner_v090': 'c493cebdf0', 'lora:hyperdenoiser_v090': 'd9045f3a2b', 'embed:Aissist-supercharge-neg': '8f478af0d1'}
Tareme
1> "
(fringe
1.2)
Vae hash
b8821a5d58
Clipskip
2
Wrong003
0.9>, wrong
(bad eyes
1.2)
Resources
[{'name': 'hyperdenoiser_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'perfetfingers', 'type': 'lora', 'weight': 1}, {'name': 'hyperrefiner_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'add_detail', 'type': 'lora', 'weight': 0.3}, {'name': 'ETO_OC', 'type': 'lora', 'weight': 0.2}, {'name': 'ETO_OCC006', 'type': 'lora', 'weight': 0.7}, {'hash': '63b4f66fe2', 'name': 'aingdiffusion_v155', 'type': 'model'}]
(big mouth
1.6)"
Eto_occ006
0.8>, ETO_OCC, (thick eyebrows), (pale skin), curvy
Model hash
63b4f66fe2
Add_detail
0.4>
(low quality
1.4)
(pointy ears
1.3), EasyNegativeV2
"(masterpiece
1.4), high quality, high definition, sharp focus, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail
(detailed eyes
1.3), animation, illustration, highly detailed, highres, extremely detailed
Taremeeyes_v10
1.7>
"(worst quality
1.6)
Adetailer model
face_yolov8n.pt
(low detail face
1.6)
Hyperrefiner_v090
0.6>
Sensualface_type1
0.6>, (round nose)
(hair between eyes
1.6), an12, (small nose)
Hyperdenoiser_v090
0.6>, seductive smile
Perfecteyes-000007
0.8> perfecteyes
Adetailer mask blur
4
Adetailer model 2nd
Eyes.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"(brown eyes), (dark green eyes), (olive eyes)
(gradient colour eyes
1.5), (multicoloured eyes), hooded eyes, down-turned eyes
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
(masterpiece:1.4), high quality, high definition, sharp focus, detailed clothes, detailed body, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail, detailed hands, (detailed eyes:1.3), animation, illustration, highly detailed, highres, extremely detailed, <lora:hyperdenoiser_v090:0.6>, <lora:perfetfingers:1>, <lora:hyperrefiner_v090:0.6>, <lora:add_detail:0.3>, (large breasts), (parted bangs:1.6), skindentation, <lora:ETO_OC:0.2> ETO-OC, <lora:ETO_OCC006:0.7>, ETO_OCC, (curly hair:1.3), (long hair:1.1), black hair, thick eyebrows, pale skin, curvy, (plump), fat, 1girl, (hazel eyes:1.3), looking at viewer, mature female, (Directly from the side, giving a perfect lateral perspective), (Sage Gray bikini), (anger face expression), (Hips up, arms spread,)
Negative prompt
(worst quality:1.6), (low quality:1.4), (low detail face:1.6), (bad eyes:1.2), (multiple views:1.3), EasyNegativeV2, <lora:wrong003:0.9>, wrong, (fringe:1.5), (bangs:1.5), (facial tattoo), (facial mark), (hair between eyes:1.6), (blue eyes:1.4), an12, SimpleNegativeV3, Aissist-supercharge-neg, AissistV2-neg, bad-hands-5-neg, gross-neg,
Seed
1458119855
Size
512x512
Model
aingdiffusion_v155
Sampler
Euler a
Steps
40
CFG scale
7
+
+
+ + +
+
Rng
NV
Vae
anythingKlF8Anime2VaeFtMse840000_blessed2Pt.pt
(bangs
1.2), (facial tattoo), (facial mark)
(plump
1.2), (apple cheeks), (round face), (round nose)
Eto_oc
0.2> ETO-OC, (round chin), black hair
Hashes
{'vae': '785e6ed87c', 'model': '63b4f66fe2', 'embed:an12': '86ca297e68', 'lora:ETO_OC': '72b5fdb030', 'embed:gross-neg': '400586a2bc', 'lora:ETO_OCC006': 'fad86a2f8c', 'lora:add_detail': '47aaaf0d29', 'lora:perfetfingers': '44c06c3111', 'embed:AissistV2-neg': 'e056510340', 'embed:EasyNegativeV2': '339cc9210f', 'embed:bad-hands-5-neg': 'aa7651be15', 'embed:SimpleNegativeV3': '3dc1192fe7', 'lora:hyperrefiner_v090': 'c493cebdf0', 'lora:hyperdenoiser_v090': 'd9045f3a2b', 'embed:Aissist-supercharge-neg': '8f478af0d1'}
Tareme
1> "
(fringe
1.2)
Vae hash
b8821a5d58
Clipskip
2
Wrong003
0.9>, wrong
(bad eyes
1.2)
Resources
[{'name': 'hyperdenoiser_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'perfetfingers', 'type': 'lora', 'weight': 1}, {'name': 'hyperrefiner_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'add_detail', 'type': 'lora', 'weight': 0.3}, {'name': 'ETO_OC', 'type': 'lora', 'weight': 0.2}, {'name': 'ETO_OCC006', 'type': 'lora', 'weight': 0.7}, {'hash': '63b4f66fe2', 'name': 'aingdiffusion_v155', 'type': 'model'}]
(big mouth
1.6)"
Eto_occ006
0.8>, ETO_OCC, (thick eyebrows), (pale skin), curvy
Model hash
63b4f66fe2
Add_detail
0.4>
(low quality
1.4)
(pointy ears
1.3), EasyNegativeV2
"(masterpiece
1.4), high quality, high definition, sharp focus, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail
(detailed eyes
1.3), animation, illustration, highly detailed, highres, extremely detailed
Taremeeyes_v10
1.7>
"(worst quality
1.6)
Adetailer model
face_yolov8n.pt
(low detail face
1.6)
Hyperrefiner_v090
0.6>
(hair between eyes
1.6), an12, (small nose)
Hyperdenoiser_v090
0.6>
Perfecteyes-000007
0.8> perfecteyes
Adetailer mask blur
4
Adetailer model 2nd
Eyes.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"(brown eyes), (dark green eyes), (olive eyes)
(gradient colour eyes
1.5), (multicoloured eyes), hooded eyes, down-turned eyes
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
(masterpiece:1.4), high quality, high definition, sharp focus, detailed clothes, detailed body, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail, detailed hands, (detailed eyes:1.3), animation, illustration, highly detailed, highres, extremely detailed, <lora:hyperdenoiser_v090:0.6>, <lora:perfetfingers:1>, <lora:hyperrefiner_v090:0.6>, <lora:add_detail:0.3>, (large breasts), (parted bangs:1.6), skindentation, <lora:ETO_OC:0.2> ETO-OC, <lora:ETO_OCC006:0.7>, ETO_OCC, (curly hair:1.3), (long hair:1.1), black hair, thick eyebrows, pale skin, curvy, (plump), fat, 1girl, (hazel eyes:1.3), looking at viewer, mature female, (From below, looking straight up at the subject), (gold leaf bikini), (Flirty, A playful smile, arched eyebrows, and a slightly tilted head), (Hand on hip,)
Negative prompt
(worst quality:1.6), (low quality:1.4), (low detail face:1.6), (bad eyes:1.2), (multiple views:1.3), EasyNegativeV2, <lora:wrong003:0.9>, wrong, (fringe:1.5), (bangs:1.5), (facial tattoo), (facial mark), (hair between eyes:1.6), (blue eyes:1.4), an12, SimpleNegativeV3, Aissist-supercharge-neg, AissistV2-neg, bad-hands-5-neg, gross-neg,
Seed
1458119856
Size
512x512
Model
aingdiffusion_v155
Sampler
Euler a
Steps
40
CFG scale
7
+
+
+ + +
+
Rng
NV
Vae
anythingKlF8Anime2VaeFtMse840000_blessed2Pt.pt
(bangs
1.2), (facial tattoo), (facial mark)
(plump
1.2), (apple cheeks), (round face), (round nose)
Eto_oc
0.2> ETO-OC, (round chin), black hair
Hashes
{'vae': '785e6ed87c', 'model': '63b4f66fe2', 'embed:an12': '86ca297e68', 'lora:ETO_OC': '72b5fdb030', 'embed:gross-neg': '400586a2bc', 'lora:ETO_OCC006': 'fad86a2f8c', 'lora:add_detail': '47aaaf0d29', 'lora:perfetfingers': '44c06c3111', 'embed:AissistV2-neg': 'e056510340', 'embed:EasyNegativeV2': '339cc9210f', 'embed:bad-hands-5-neg': 'aa7651be15', 'embed:SimpleNegativeV3': '3dc1192fe7', 'lora:hyperrefiner_v090': 'c493cebdf0', 'lora:hyperdenoiser_v090': 'd9045f3a2b', 'embed:Aissist-supercharge-neg': '8f478af0d1'}
Tareme
1> "
(fringe
1.2)
Vae hash
b8821a5d58
Clipskip
2
Wrong003
0.9>, wrong
(bad eyes
1.2)
Resources
[{'name': 'hyperdenoiser_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'perfetfingers', 'type': 'lora', 'weight': 1}, {'name': 'hyperrefiner_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'add_detail', 'type': 'lora', 'weight': 0.3}, {'name': 'ETO_OC', 'type': 'lora', 'weight': 0.2}, {'name': 'ETO_OCC006', 'type': 'lora', 'weight': 0.7}, {'hash': '63b4f66fe2', 'name': 'aingdiffusion_v155', 'type': 'model'}]
(big mouth
1.6)"
Eto_occ006
0.8>, ETO_OCC, (thick eyebrows), (pale skin), curvy
Model hash
63b4f66fe2
Add_detail
0.4>
(low quality
1.4)
(pointy ears
1.3), EasyNegativeV2
"(masterpiece
1.4), high quality, high definition, sharp focus, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail
(detailed eyes
1.3), animation, illustration, highly detailed, highres, extremely detailed
Taremeeyes_v10
1.7>
"(worst quality
1.6)
Adetailer model
face_yolov8n.pt
(low detail face
1.6)
Hyperrefiner_v090
0.6>
(hair between eyes
1.6), an12, (small nose)
Hyperdenoiser_v090
0.6>
Perfecteyes-000007
0.8> perfecteyes
Adetailer mask blur
4
Adetailer model 2nd
Eyes.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"(brown eyes), (dark green eyes), (olive eyes)
(gradient colour eyes
1.5), (multicoloured eyes), hooded eyes, down-turned eyes
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
(masterpiece:1.4), high quality, high definition, sharp focus, detailed clothes, detailed body, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail, detailed hands, (detailed eyes:1.3), animation, illustration, highly detailed, highres, extremely detailed, <lora:hyperdenoiser_v090:0.6>, <lora:perfetfingers:1>, <lora:hyperrefiner_v090:0.6>, <lora:add_detail:0.3>, (large breasts), (parted bangs:1.6), skindentation, <lora:ETO_OC:0.2> ETO-OC, <lora:ETO_OCC006:0.7>, ETO_OCC, (curly hair:1.3), (long hair:1.1), black hair, thick eyebrows, pale skin, curvy, (plump), fat, 1girl, (hazel eyes:1.3), looking at viewer, mature female, (from side), (Moss green bikini), (lying, On her stomach, head resting on her hands,)
Negative prompt
(worst quality:1.6), (low quality:1.4), (low detail face:1.6), (bad eyes:1.2), (multiple views:1.3), EasyNegativeV2, <lora:wrong003:0.9>, wrong, (fringe:1.5), (bangs:1.5), (facial tattoo), (facial mark), (hair between eyes:1.6), (blue eyes:1.4), an12, SimpleNegativeV3, Aissist-supercharge-neg, AissistV2-neg, bad-hands-5-neg, gross-neg,
Seed
2802488552
Size
512x512
Model
aingdiffusion_v155
Sampler
Euler a
Steps
40
CFG scale
7
+
+
+ + +
+
Rng
NV
Vae
anythingKlF8Anime2VaeFtMse840000_blessed2Pt.pt
(bangs
1.2), (facial tattoo), (facial mark)
(plump
1.2), (apple cheeks), (round face), (round nose)
Eto_oc
0.2> ETO-OC, (round chin), black hair
Hashes
{'vae': '785e6ed87c', 'model': '63b4f66fe2', 'embed:an12': '86ca297e68', 'lora:ETO_OC': '72b5fdb030', 'embed:gross-neg': '400586a2bc', 'lora:ETO_OCC006': 'fad86a2f8c', 'lora:add_detail': '47aaaf0d29', 'lora:perfetfingers': '44c06c3111', 'embed:AissistV2-neg': 'e056510340', 'embed:EasyNegativeV2': '339cc9210f', 'embed:bad-hands-5-neg': 'aa7651be15', 'embed:SimpleNegativeV3': '3dc1192fe7', 'lora:hyperrefiner_v090': 'c493cebdf0', 'lora:hyperdenoiser_v090': 'd9045f3a2b', 'embed:Aissist-supercharge-neg': '8f478af0d1'}
Tareme
1>,(__ETOexpression__)"
(fringe
1.2)
Vae hash
b8821a5d58
Clipskip
2
Wrong003
0.9>, wrong
(bad eyes
1.2)
Resources
[{'name': 'hyperdenoiser_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'perfetfingers', 'type': 'lora', 'weight': 1}, {'name': 'hyperrefiner_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'add_detail', 'type': 'lora', 'weight': 0.3}, {'name': 'ETO_OC', 'type': 'lora', 'weight': 0.2}, {'name': 'ETO_OCC006', 'type': 'lora', 'weight': 0.7}, {'hash': '63b4f66fe2', 'name': 'aingdiffusion_v155', 'type': 'model'}]
(big mouth
1.6)"
Eto_occ006
0.8>, ETO_OCC, (thick eyebrows), (pale skin), curvy
Model hash
63b4f66fe2
Add_detail
0.4>
(low quality
1.4)
(pointy ears
1.3), EasyNegativeV2
"(masterpiece
1.4), high quality, high definition, sharp focus, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail
(detailed eyes
1.3), animation, illustration, highly detailed, highres, extremely detailed
Taremeeyes_v10
1.7>
"(worst quality
1.6)
Adetailer model
face_yolov8n.pt
(low detail face
1.6)
Hyperrefiner_v090
0.6>
(hair between eyes
1.6), an12, (small nose)
Hyperdenoiser_v090
0.6>
Perfecteyes-000007
0.8> perfecteyes
Adetailer mask blur
4
Adetailer model 2nd
Eyes.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"(brown eyes), (dark green eyes), (olive eyes)
(gradient colour eyes
1.5), (multicoloured eyes), hooded eyes, down-turned eyes
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
(masterpiece:1.4), high quality, high definition, sharp focus, detailed clothes, detailed body, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail, detailed hands, (detailed eyes:1.3), animation, illustration, highly detailed, highres, extremely detailed, <lora:hyperdenoiser_v090:0.6>, <lora:perfetfingers:1>, <lora:hyperrefiner_v090:0.6>, <lora:add_detail:0.3>, (large breasts), (parted bangs:1.6), skindentation, <lora:ETO_OC:0.2> ETO-OC, <lora:ETO_OCC006:0.7>, ETO_OCC, (curly hair:1.3), (long hair:1.1), black hair, thick eyebrows, pale skin, curvy, (plump), fat, 1girl, (hazel eyes:1.3), looking at viewer, mature female, (Aerial view), (Fuchsia bikini), (Cross-legged, arms folded behind head, sitting,)
Negative prompt
(worst quality:1.6), (low quality:1.4), (low detail face:1.6), (bad eyes:1.2), (multiple views:1.3), EasyNegativeV2, <lora:wrong003:0.9>, wrong, (fringe:1.5), (bangs:1.5), (facial tattoo), (facial mark), (hair between eyes:1.6), (blue eyes:1.4), an12, SimpleNegativeV3, Aissist-supercharge-neg, AissistV2-neg, bad-hands-5-neg, gross-neg,
Seed
2802488553
Size
512x512
Model
aingdiffusion_v155
Sampler
Euler a
Steps
40
CFG scale
7
+
+
+ + +
+
Rng
NV
Vae
anythingKlF8Anime2VaeFtMse840000_blessed2Pt.pt
(bangs
1.2), (facial tattoo), (facial mark)
(plump
1.2), (apple cheeks), (round face), (round nose)
Eto_oc
0.2> ETO-OC, (round chin), black hair
Hashes
{'vae': '785e6ed87c', 'model': '63b4f66fe2', 'embed:an12': '86ca297e68', 'lora:ETO_OC': '72b5fdb030', 'embed:gross-neg': '400586a2bc', 'lora:ETO_OCC006': 'fad86a2f8c', 'lora:add_detail': '47aaaf0d29', 'lora:perfetfingers': '44c06c3111', 'embed:AissistV2-neg': 'e056510340', 'embed:EasyNegativeV2': '339cc9210f', 'embed:bad-hands-5-neg': 'aa7651be15', 'embed:SimpleNegativeV3': '3dc1192fe7', 'lora:hyperrefiner_v090': 'c493cebdf0', 'lora:hyperdenoiser_v090': 'd9045f3a2b', 'embed:Aissist-supercharge-neg': '8f478af0d1'}
Tareme
1>,(__ETOexpression__)"
(fringe
1.2)
Vae hash
b8821a5d58
Clipskip
2
Wrong003
0.9>, wrong
(bad eyes
1.2)
Resources
[{'name': 'hyperdenoiser_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'perfetfingers', 'type': 'lora', 'weight': 1}, {'name': 'hyperrefiner_v090', 'type': 'lora', 'weight': 0.6}, {'name': 'add_detail', 'type': 'lora', 'weight': 0.3}, {'name': 'ETO_OC', 'type': 'lora', 'weight': 0.2}, {'name': 'ETO_OCC006', 'type': 'lora', 'weight': 0.7}, {'hash': '63b4f66fe2', 'name': 'aingdiffusion_v155', 'type': 'model'}]
(big mouth
1.6)"
Eto_occ006
0.8>, ETO_OCC, (thick eyebrows), (pale skin), curvy
Model hash
63b4f66fe2
Add_detail
0.4>
(low quality
1.4)
(pointy ears
1.3), EasyNegativeV2
"(masterpiece
1.4), high quality, high definition, sharp focus, detailed face, anime, best quality, 4k, 8k, absurd resolution, intricate detail
(detailed eyes
1.3), animation, illustration, highly detailed, highres, extremely detailed
Taremeeyes_v10
1.7>
"(worst quality
1.6)
Adetailer model
face_yolov8n.pt
(low detail face
1.6)
Hyperrefiner_v090
0.6>
(hair between eyes
1.6), an12, (small nose)
Hyperdenoiser_v090
0.6>
Perfecteyes-000007
0.8> perfecteyes
Adetailer mask blur
4
Adetailer model 2nd
Eyes.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
"(brown eyes), (dark green eyes), (olive eyes)
(gradient colour eyes
1.5), (multicoloured eyes), hooded eyes, down-turned eyes
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
+ \ No newline at end of file diff --git a/adetailer/etoAdetailerPrompts_v10.json b/adetailer/etoAdetailerPrompts_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..453b603a2a7e4bc71ac72b4c6581d7ef07e90c3f --- /dev/null +++ b/adetailer/etoAdetailerPrompts_v10.json @@ -0,0 +1,11 @@ +{ + "activation text": "", + "description": "Hello:These are the prompts I use with adetailer for my ETO_OC character.It is useful for when the model makes strange faces or when you want to change the expression.It is also very useful because if I put what I want (hazel eyes) it suddenly puts the entire image in that range of colors. Or if the prompt is (pink beam) it also makes her eyes pink.In setting I have gone to the adetailer section and asked it to save the original image, so I can compare which one I like best, sometimes when making the change, it does not look as good as the original.\u200bYou must use the face filter first and then the eye filter.You can put the wildcard etoexpression in the face prompts to change the expressions randomly. https://civitai.com/models/279913 https://civitai.com/models/279913You can put the etocolours wildcard in the eye prompts to change the eye colors. Or using the person adetailer to change hair color.Here are the loras for my adetailer:https://civitai.com/models/80690 https://civitai.com/models/80690https://civitai.com/models/128358 https://civitai.com/models/128358https://civitai.com/models/207430 https://civitai.com/models/207430https://civitai.com/models/208714 https://civitai.com/models/208714https://civitai.com/models/58390 https://civitai.com/models/58390https://civitai.com/models/198893 https://civitai.com/models/198893https://civitai.com/models/198876 https://civitai.com/models/198876https://civitai.com/models/5693 https://civitai.com/models/5693https://civitai.com/models/90461 https://civitai.com/models/90461https://civitai.com/models/55743 https://civitai.com/models/55743https://civitai.com/models/256740 https://civitai.com/models/256740neghttps://civitai.com/models/159776 https://civitai.com/models/159776https://civitai.com/models/100191 https://civitai.com/models/100191https://civitai.com/models/58726 https://civitai.com/models/58726", + "sd version": "SD1", + "modelId": 279965, + "sha256": "6CF546680E12BC90955B822908E3AC863D3B384583ED2F96D2996C08D528D437", + "unpackList": [ + "ETOdetailer/ETOadetailer.txt", + "ETOdetailer/loras.txt" + ] +} \ No newline at end of file diff --git a/adetailer/etoAdetailerPrompts_v10.preview.png b/adetailer/etoAdetailerPrompts_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..e7eb3f3254cf9a31bc279c217762fc84270c0acc Binary files /dev/null and b/adetailer/etoAdetailerPrompts_v10.preview.png differ diff --git a/adetailer/eyeDetailerSegmentation_v2.html b/adetailer/eyeDetailerSegmentation_v2.html new file mode 100644 index 0000000000000000000000000000000000000000..f0b6cf5ecf062e9fd8b2322d9261bb0d4211c27a --- /dev/null +++ b/adetailer/eyeDetailerSegmentation_v2.html @@ -0,0 +1,205 @@ + + + + + + +
+

Eye Detailer/Segmentation - ADetailer

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Uploaded by Pitpe11

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Version
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v2
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Base Model
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Other
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Published
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2024-04-24
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Availability
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Public
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CivitAI Tags
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+
+ eyestooleyeadetailersegmentation +
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+
Download Link
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https://civitai.com/api/download/models/465360
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+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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Description

+

Eye Segmentation for ADetailer

Credits to mnemic for this article and Anzhc for this ADetailer model (see for more information)

Installation:

  1. Download the zip archive

  2. Extract the model into your ADetailer model folder

    • For the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailer

    • For ComfyUI it should be in models/ultralytics/segm

  3. Start it up (full restart if already had it open) and select the model from the ADetailer tab/node

    • Tip for WebUI: you can go to WebUI Settings→Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models

    • If you want to do both eyes in one pass (so you keep consistency in the eyes). In your ADetailer tab, go to Mask preprocessing → Mask merge mode → and select 'Merge'. This will merge the masks and do the inpaint as if it's one mask. Keep in mind this might not be ideal if there are 2 subjects and say 4 eyes. You can mess with settings and maybe do it in some way™️. You'll have to figure that on your own.

  4. Make sure to have correct Detection thresholds/inpaint strength and so on for your images

  5. Generate them eyes!

It detects eyes pretty well. I might work more on this in the future. Please tell me what you think. Thanks! 😊

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Prompt
Gothic style ethereal fantasy concept art of beautiful woman,cowboy shot,long hair,heavy makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1), celestial, mysterious
Seed
3669207906
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitEyeDetailer-v2-seg-best.pt
Adetailer prompt
{'(eyeshadow': '1.1)', '(detailed eyes': '1.2)', '(thick eyelashes': '1.2)', '(Blue glowing eyes': '1.2)'}
Adetailer version
24.4.2
Denoising strength
0.45
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.44
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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+
+ + + + +
+ +
+
Prompt
Gothic style ethereal fantasy concept art of beautiful woman,cowboy shot,long hair,heavy makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1), celestial, mysterious
Seed
3669207906
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitEyeDetailer-v2-seg-best.pt
Adetailer prompt
{'(eyeshadow': '1.1)', '(detailed eyes': '1.2)', '(thick eyelashes': '1.2)', '(Blue glowing eyes': '1.2)'}
Adetailer version
24.4.2
Denoising strength
0.45
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.44
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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+
Prompt
Gothic style ethereal fantasy concept art of beautiful woman,cowboy shot,long hair,heavy makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1), celestial, mysterious
Seed
3669207906
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitEyeDetailer-v2-seg-best.pt
Adetailer prompt
{'(eyeshadow': '1.1) . magnificent . Dark', '(thick eyelashes': '1.2)', '(Blue glowing eyes': '1.2)', 'Gothic style ethereal fantasy concept art of (detailed eyes': '1.2)'}
Adetailer version
24.4.2
Denoising strength
0.45
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.44
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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+
+ + + + +
+ +
+
Prompt
Gothic style ethereal fantasy concept art of beautiful woman,cowboy shot,long hair,heavy makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1), celestial, mysterious
Seed
3213338480
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitEyeDetailer-v2-seg-best.pt
Adetailer prompt
{}
Adetailer version
24.4.2
Denoising strength
0.45
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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+
+ + + + +
+ +
+
Prompt
Gothic style ethereal fantasy concept art of beautiful woman,cowboy shot,long hair,heavy makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1), celestial, mysterious
Seed
3213338480
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitEyeDetailer-v2-seg-best.pt
Adetailer prompt
{}
Adetailer version
24.4.2
Denoising strength
0.45
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
+
+
+ + + + +
+ +
+
Prompt
Gothic style ethereal fantasy concept art of beautiful woman,cowboy shot,long hair,heavy makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1), celestial, mysterious
Seed
3213338480
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitEyeDetailer-v2-seg-best.pt
Adetailer prompt
{}
Adetailer version
24.4.2
Denoising strength
0.45
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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+
Prompt
Gothic style ethereal fantasy concept art of score_9,score_8_up,beautiful woman,cowboy shot,long hair,makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(unaestheticXL2v10:1),(negativeXL_D:1),(boring_sdxl_v1:1.1),watermark,artist name,signature, celestial, mysterious
Seed
1371033027
Size
1024x1024
Model
AutismMixPonySDXL
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
6
+
+
+ + +
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Hashes
{'model': '821aa5537f', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:boring_sdxl_v1': '12840ef832', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Adetailer model
AnzhcFace-seg.pt
Adetailer prompt
{'(glowing red eyes': '1.2)'}
Adetailer version
24.4.2
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v2-seg-best.pt
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer prompt 2nd
{'(thick eyelashes': '1.2)', '1.2)(detailed eyes': '1.2)'}
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Kohya_hrfix_end_percent
0.35
Adetailer confidence 2nd
0.3
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0.09
Adetailer dilate erode 2nd
4
Kohya_hrfix_upscale_method
bislerp
Adetailer denoising strength
0.45
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bislerp
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Kohya_hrfix_downscale_after_skip
True
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
Gothic style ethereal fantasy concept art of score_9,score_8_up,beautiful woman,cowboy shot,long hair,makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(unaestheticXL2v10:1),(negativeXL_D:1),(boring_sdxl_v1:1.1),watermark,artist name,signature, celestial, mysterious
Seed
1371033027
Size
1024x1024
Model
AutismMixPonySDXL
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
6
+
+
+ + +
+
Hashes
{'model': '821aa5537f', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:boring_sdxl_v1': '12840ef832', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Adetailer model
AnzhcFace-seg.pt
Adetailer prompt
{'(glowing red eyes': '1.2)'}
Adetailer version
24.4.2
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v2-seg-best.pt
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer prompt 2nd
{'(thick eyelashes': '1.2) . magnificent . Dark', '1.2)(detailed eyes': '1.2)'}
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Kohya_hrfix_end_percent
0.35
Adetailer confidence 2nd
0.3
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0.09
Adetailer dilate erode 2nd
4
Kohya_hrfix_upscale_method
bislerp
Adetailer denoising strength
0.45
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bislerp
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Kohya_hrfix_downscale_after_skip
True
Adetailer inpaint only masked 2nd
True
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+
+ + + + +
+ +
+
Prompt
Gothic style ethereal fantasy concept art of score_9,score_8_up,beautiful woman,cowboy shot,long hair,makeup,iridescent trim,Blue eyes,eyeshadow,earrings,hairclip,elf,pointy ears . magnificent . Dark
Negative prompt
(unaestheticXL2v10:1),(negativeXL_D:1),(boring_sdxl_v1:1.1),watermark,artist name,signature, celestial, mysterious
Seed
1371033027
Size
1024x1024
Model
AutismMixPonySDXL
Sampler
DPM++ 2M Karras
Steps
30
CFG scale
6
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Hashes
{'model': '821aa5537f', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:boring_sdxl_v1': '12840ef832', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
2
Resources
[{'hash': '821aa5537f', 'name': 'AutismMixPonySDXL', 'type': 'model'}]
Model hash
821aa5537f
Adetailer model
AnzhcFace-seg.pt
Adetailer prompt
{'(glowing red eyes': '1.2)'}
Adetailer version
24.4.2
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v2-seg-best.pt
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer prompt 2nd
{'(thick eyelashes': '1.2)', '1.2)(detailed eyes': '1.2)'}
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Kohya_hrfix_end_percent
0.35
Adetailer confidence 2nd
0.3
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0.09
Adetailer dilate erode 2nd
4
Kohya_hrfix_upscale_method
bislerp
Adetailer denoising strength
0.45
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bislerp
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Kohya_hrfix_downscale_after_skip
True
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/eyeDetailerSegmentation_v2.json b/adetailer/eyeDetailerSegmentation_v2.json new file mode 100644 index 0000000000000000000000000000000000000000..3c6f64668f479c80eb092f78687aa2d044b9c64b --- /dev/null +++ b/adetailer/eyeDetailerSegmentation_v2.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Eye Segmentation for ADetailerCredits to mnemic https://civitai.com/user/mnemic for this article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model and Anzhc https://civitai.com/user/Anzhc for this ADetailer model https://civitai.com/models/293448/anzhcs-face-segmentation-prototype-or-yolov8-or-adetailer-model?modelVersionId=331333 (see for more information)Installation:Download the zip archiveExtract the model into your ADetailer model folderFor the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailerFor ComfyUI it should be in models/ultralytics/segmStart it up (full restart if already had it open) and select the model from the ADetailer tab/node Tip for WebUI: you can go to WebUI Settings\u2192Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer modelsIf you want to do both eyes in one pass (so you keep consistency in the eyes). In your ADetailer tab, go to Mask preprocessing \u2192 Mask merge mode \u2192 and select 'Merge'. This will merge the masks and do the inpaint as if it's one mask. Keep in mind this might not be ideal if there are 2 subjects and say 4 eyes. You can mess with settings and maybe do it in some way\u2122\ufe0f. You'll have to figure that on your own.Make sure to have correct Detection thresholds/inpaint strength and so on for your imagesGenerate them eyes!It detects eyes pretty well. I might work more on this in the future. Please tell me what you think. Thanks! \ud83d\ude0a", + "sd version": "Other", + "modelId": 334668, + "sha256": "A9CC4C1C813A81C8EBCD3971DB29734AC599ACE1F7354B1E55B0BF48BBD26A03", + "unpackList": [ + "PitEyeDetailer-v2-seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/eyeDetailerSegmentation_v2.preview.png b/adetailer/eyeDetailerSegmentation_v2.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..eff477da4aba9b098f65c04331063482d7b08e8d Binary files /dev/null and b/adetailer/eyeDetailerSegmentation_v2.preview.png differ diff --git a/adetailer/eye_furry_v1.pt b/adetailer/eye_furry_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..cb2959cfe5a2eb00beeca72b91ec45d6ec1b58f4 --- /dev/null +++ b/adetailer/eye_furry_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:35c536cec312c35db6ded6433ac31ddb07a82eb77b1781c822cf12e9a13c3a60 +size 22529646 diff --git a/adetailer/eyefulRobustEyeDetection_v2Paired.html b/adetailer/eyefulRobustEyeDetection_v2Paired.html new file mode 100644 index 0000000000000000000000000000000000000000..e149bb1ce3770910506f75944e5b3f1853d4447b --- /dev/null +++ b/adetailer/eyefulRobustEyeDetection_v2Paired.html @@ -0,0 +1,205 @@ + + + + + + +
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Eyeful | Robust eye detection for Adetailer / ComfyUI

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Uploaded by 32Bitshifter

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Version
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v2 - Paired
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Base Model
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Other
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Published
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2024-06-18
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Availability
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Public
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CivitAI Tags
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+ inpaintingbase modeleyescomfyuidetectionadetaileryolov8afterdetailerbbox +
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Download Link
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https://civitai.com/api/download/models/582143
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Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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Description

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Eyeful | Robust eye detection for Adetailer and ComfyUI for any digital images.

Version 2️⃣ Update:

The most thorough and powerful eye detection is back and better than ever with a massive v2 update. By prior request and to fulfill multiple needs better, the model has been retrained twice, in both paired eyes and single eyes for any use cases, with a much bigger data set.

  • Dataset: ~7600 custom annotated images.

  • Training: ~440 Epochs per model, with 60 total runs to tune hyperparameters.

  • Sleep lost: A bunch.

🖌️ The rules for detecting eyes are carefully honed to select for things people would want to in-paint or highlight, to attempt to avoid false positives:

Match:

☑️ Pairs or individual eyes on any face like structure

☑️ Beady black eyes like animal eyes

☑️ No eyes, but bright highlights in a space where eyes would be e.g. under a hood

☑️ Side-facing eyes if sclera is visible

☑️ (For paired) Single eyes if only one is visible

Ignore:

❌ Goggles, sunglasses, or any types of visor

❌ Skull-like eye sockets or holes, absence of eyes

❌ Flat black eyes with no highlights

About: Eyeful is a custom trained YOLOv8 model meant to be used with ADetailer or any other bbox/detection compatible plugin for Automatic1111 or ComfyUI. This network can also be run completely standalone with Ultralytics.

Detection: This model has a robust custom training dataset, and a custom training pipeline that means it can detect eyes that are in various styles such as painting, artistic, 3d, realistic, anime, manga, even some pixel art.

Settings

Detection Confidence Threshold: >0.40
+Model Location (A1111): Extract zip into models/adetailer folder
+Model Location (Comfy): Extract zip into models/ultralytics/bbox folder

Failure Cases: There are reasonable limits where an eye may be too stylized or abstract to be highlighted without introducing too many false positives in the training, so this model tries to straddle the line of what you likely would consider an eye worth highlighting, human-like animal eyes: yes, sunglasses: no, etc.

Extreme closeup images will trigger multi-detections if the whole frame is eyeball, but at that point you shouldn't be using this model anyway.

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Prompt
photography, realistic, a beautiful portrait photo of an Irish woman, wearing a floral dress, green eyes, freckles, beautiful bokeh lights, dof, realistic skin texture, skin details, pretty makeup, aesthetic, portrait, high resolution, intricate details
Negative prompt
dithering, burned, ugly, jpeg, video game, painting, aliasing, warped, distorted, morbid, BeyondSDXLNegative_v3
Seed
4027632616
Size
832x1216
Model
RealVisXL_v4
Sampler
DPM++ SDE Karras
Steps
32
CFG scale
10.5
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+
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Hashes
{'model': '912c9dc74f'}
Version
f0.0.17v1.8.0rc-latest-287-g77bdb920
Ti hashes
{'BeyondSDXLNegative_v3': '7a11b7b2ad95'}
Resources
[{'hash': '912c9dc74f', 'name': 'RealVisXL_v4', 'type': 'model'}]
Model hash
912c9dc74f
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Adetailer model
Eyeful_v2-Paired.pt
Adetailer steps
40
Adetailer sampler
DPM++ 3M SDE Karras
Adetailer version
24.5.1
Denoising strength
0.4
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
24
Adetailer inpaint width
1024
Adetailer inpaint height
1024
Adetailer inpaint padding
32
Adetailer denoising strength
0.42
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer mask only top k largest
1
Adetailer use inpaint width height
True
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Prompt
photography, realistic, a beautiful portrait photo of a black woman standing on a balcony overlooking a city at night, face closeup, fireworks, wearing a floral dress, beautiful bokeh lights, dof, realistic skin texture, skin details, pretty makeup, aesthetic, portrait, high resolution, intricate details
Negative prompt
dithering, burned, ugly, jpeg, video game, painting, aliasing, warped, distorted, morbid, BeyondSDXLNegative_v3
Seed
3951865525
Size
832x1216
Model
RealVisXL_v4
Sampler
DPM++ SDE Karras
Steps
32
CFG scale
10.5
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+
+ + +
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Hashes
{'model': '912c9dc74f'}
Version
f0.0.17v1.8.0rc-latest-287-g77bdb920
Resources
[{'hash': '912c9dc74f', 'name': 'RealVisXL_v4', 'type': 'model'}]
Model hash
912c9dc74f
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Adetailer model
Eyeful_v2-Individual.pt
Adetailer steps
40
Adetailer prompt
{'(realistic': '1.1)', '(sharp focus': '1.1)'}
Adetailer sampler
DPM++ SDE Karras
Adetailer version
24.5.1
Denoising strength
0.4
Adetailer cfg scale
8.5
Adetailer mask blur
8
Adetailer confidence
0.3
Adetailer dilate erode
24
Adetailer inpaint width
1280
Adetailer inpaint height
768
Adetailer inpaint padding
128
Adetailer negative prompt
{}
Adetailer mask merge invert
Merge
Adetailer denoising strength
0.48
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer use separate cfg scale
True
Adetailer mask only top k largest
2
Adetailer use inpaint width height
True
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Prompt
photography, realistic, a beautiful portrait photo of a woman standing on a balcony overlooking a city at night, asian, face closeup, fireworks, wearing an evening gown, beautiful bokeh lights, dof, realistic skin texture, skin details, pretty makeup, aesthetic, portrait, high resolution, intricate details
Negative prompt
dithering, burned, ugly, jpeg, video game, painting, aliasing, warped, distorted, morbid, BeyondSDXLNegative_v3
Seed
2195569463
Size
832x1216
Model
RealVisXL_v4
Sampler
DPM++ SDE Karras
Steps
32
CFG scale
10.5
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Hashes
{'model': '912c9dc74f'}
Version
f0.0.17v1.8.0rc-latest-287-g77bdb920
Resources
[{'hash': '912c9dc74f', 'name': 'RealVisXL_v4', 'type': 'model'}]
Model hash
912c9dc74f
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Adetailer model
Eyeful_v2-Paired.pt
Adetailer steps
40
Adetailer prompt
{'(realistic': '1.1)'}
Adetailer sampler
Euler A AYS
Adetailer version
24.5.1
Denoising strength
0.4
Adetailer cfg scale
8.5
Adetailer mask blur
8
Adetailer confidence
0.3
Adetailer dilate erode
64
Adetailer inpaint width
1024
Adetailer inpaint height
1024
Adetailer inpaint padding
144
Adetailer negative prompt
{}
Adetailer mask merge invert
Merge
Adetailer denoising strength
0.68
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer use separate cfg scale
True
Adetailer mask only top k largest
2
Adetailer use inpaint width height
True
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Prompt
photography, realistic, a cool vintage photo of an old wizard in a blue robe, retro photography, film grain, face closeup, fireworks, wearing a complicated hat, beautiful bokeh lights, dof, realistic skin texture, skin details, portrait, high resolution, intricate details
Negative prompt
dithering, burned, ugly, jpeg, video game, painting, aliasing, warped, distorted, morbid, BeyondSDXLNegative_v3
Seed
2195569463
Size
832x1216
Model
RealVisXL_v4
Sampler
DPM++ SDE Karras
Steps
32
CFG scale
10.5
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Hashes
{'model': '912c9dc74f'}
Version
f0.0.17v1.8.0rc-latest-287-g77bdb920
Resources
[{'hash': '912c9dc74f', 'name': 'RealVisXL_v4', 'type': 'model'}]
Model hash
912c9dc74f
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Adetailer model
Eyeful_v2-Paired.pt
Adetailer steps
40
Adetailer prompt
{'(realistic': '1.1)'}
Adetailer sampler
Euler A AYS
Adetailer version
24.5.1
Denoising strength
0.42
Adetailer cfg scale
8.5
Adetailer mask blur
8
Adetailer confidence
0.3
Adetailer dilate erode
64
Adetailer inpaint width
1024
Adetailer inpaint height
1024
Adetailer inpaint padding
144
Adetailer negative prompt
{'crazy': '1.1)'}
Adetailer mask merge invert
Merge
Adetailer denoising strength
0.68
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer use separate sampler
True
Adetailer use separate cfg scale
True
Adetailer mask only top k largest
2
Adetailer use inpaint width height
True
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Prompt
score_9, score_8_up, score_7_up, score_6_up, d4rk4mb3r, photo, realistic, photography, 1girl, solo, pov, from the side, side profile, closeup, standing outdoors, dark night in a forest, fireflies, young woman, slender figure, slim, cute face, wearing a metal silver sweater, ruby earrings, beautiful skin, form fitting, blonde hair, makeup, high quality, hires, 4k high resolution, intricate details, z_PonyXL_v2, z_PonyXL_PhotoReal <lora:da_DarksDolls_Amber_PonyXL_v02:0.65>
Negative prompt
score_2, score_1, score_3, ugly, low quality, (anime, cartoon, blender, video game:1.3), daylight, sunlight, naked, nipples, nsfw, (elf ears, alien:1.1), stretched, bad anatomy, (mole, skin moles, skin blemishes:1.1), low resolution, plump, fat, insects, bugs, rating_explicit, z_PonyXL_v2_neg, z_PonyXL_PhotoReal_neg
Seed
1974768828
Size
832x1216
Model
CyberRealisticPony_v31
Sampler
DPM++ SDE Karras
Steps
40
CFG scale
10.5
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Hashes
{'model': 'f24f231df7', 'lora:da_DarksDolls_Amber_PonyXL_v02': '2c65a13ce306'}
Version
f0.0.17v1.8.0rc-latest-287-g77bdb920
Ti hashes
{'z_PonyXL_v2': '649c47827d59', 'z_PonyXL_v2_neg': '29dc1b9b1a2b', 'z_PonyXL_PhotoReal': 'adf282afb238', 'z_PonyXL_PhotoReal_neg': 'cc5b7ca272ea'}
Pag_block
middle
Pag_scale
3
Resources
[{'hash': '2c65a13ce306', 'name': 'da_DarksDolls_Amber_PonyXL_v02', 'type': 'lora', 'weight': 0.65}, {'hash': 'f24f231df7', 'name': 'CyberRealisticPony_v31', 'type': 'model'}]
Model hash
f24f231df7
Hires steps
40
Pag_enabled
True
Pag_rescale
0
Pag_block_id
0
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Pag_block_list
Pag_hr_override
False
Pag_rescale_mode
full
Adetailer version
24.5.1
Denoising strength
0.42
Pag_adaptive_scale
0
Adetailer model 2nd
face_yolov8s.pt
Adetailer model 3rd
Eyeful_v2-Paired.pt
Adetailer steps 3rd
64
Adetailer prompt 3rd
{'da_Heterochromia_PonyXL_v02': '0.95>'}
Adetailer sampler 3rd
DPM++ SDE Karras
Adetailer cfg scale 3rd
8.5
Adetailer mask blur 3rd
24
Adetailer confidence 3rd
0.3
Adetailer dilate erode 3rd
64
Adetailer inpaint width 3rd
1024
Adetailer inpaint height 3rd
1024
Adetailer inpaint padding 3rd
128
Adetailer negative prompt 3rd
{'anime': '1.2)'}
Adetailer denoising strength 3rd
0.46
Adetailer use separate steps 3rd
True
Adetailer inpaint only masked 3rd
True
Adetailer use separate sampler 3rd
True
Adetailer use separate cfg scale 3rd
True
Adetailer mask only top k largest 3rd
1
Adetailer use inpaint width height 3rd
True
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Prompt
score_9, score_8_up, score_7_up, score_6_up, d4rk4mb3r, 1girl, solo, pov, from the side, side profile, closeup, standing outdoors, dark night in a deep forest, fireflies, young woman, slender figure, slim, cute face, wearing a metal silver sweater, ruby earrings, beautiful skin, form fitting, blonde hair, makeup, light and shadow, high quality, hires, 4k high resolution, intricate details, z_PonyXL_v2 <lora:da_DarksDolls_Amber_PonyXL_v02:0.85>
Negative prompt
score_2, score_1, score_3, photo, low quality, (cartoon, blender, video game:1.2), naked, nipples, nsfw, (elf ears, alien:1.1), stretched, bad anatomy, (mole, skin moles, skin blemishes:1.1), low resolution, navel, plump, fat, lowres, photo, huge lips, insects, bugs, mutated, furry, pony, horror, rating_explicit, z_PonyXL_v2_neg
Seed
4006782793
Size
832x1216
Model
BeMyPony_PonyXL_v30
Sampler
DPM++ SDE Karras
Steps
40
CFG scale
10.5
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Hashes
{'model': 'e5f5e46ce5', 'lora:da_DarksDolls_Amber_PonyXL_v02': '2c65a13ce306'}
Version
f0.0.17v1.8.0rc-latest-287-g77bdb920
Ti hashes
{'z_PonyXL_v2': '649c47827d59'}
Pag_block
middle
Pag_scale
3
Resources
[{'hash': '2c65a13ce306', 'name': 'da_DarksDolls_Amber_PonyXL_v02', 'type': 'lora', 'weight': 0.85}, {'hash': 'e5f5e46ce5', 'name': 'BeMyPony_PonyXL_v30', 'type': 'model'}]
Model hash
e5f5e46ce5
Hires steps
40
Pag_enabled
True
Pag_rescale
0
Pag_block_id
0
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Pag_block_list
Pag_hr_override
False
Pag_rescale_mode
full
Adetailer version
24.5.1
Denoising strength
0.42
Pag_adaptive_scale
0
Adetailer model 3rd
Eyeful_v2-Paired.pt
Adetailer steps 3rd
64
Adetailer prompt 3rd
{'da_Heterochromia_PonyXL_v02': '0.95>'}
Adetailer sampler 3rd
DPM++ SDE Karras
Adetailer cfg scale 3rd
8.5
Adetailer mask blur 3rd
24
Adetailer confidence 3rd
0.3
Adetailer dilate erode 3rd
64
Adetailer inpaint width 3rd
1024
Adetailer inpaint height 3rd
1024
Adetailer inpaint padding 3rd
128
Adetailer negative prompt 3rd
{}
Adetailer denoising strength 3rd
0.46
Adetailer use separate steps 3rd
True
Adetailer inpaint only masked 3rd
True
Adetailer use separate sampler 3rd
True
Adetailer use separate cfg scale 3rd
True
Adetailer mask only top k largest 3rd
1
Adetailer use inpaint width height 3rd
True
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Prompt
score_9, score_8_up, score_7_up, score_6_up, d4rkv10l3t, photo, realistic, photography, 1girl, solo, pov, from the side, side profile, closeup, standing outdoors, dark night in a forest, fireflies, young woman, slender figure, slim, cute face, wearing a black chemise, ruby earrings, beautiful skin, white hair, (very long hair:1.1), half portrait, (makeup:1.1), high quality, hires, 4k high resolution, intricate details, z_PonyXL_v2, z_PonyXL_PhotoReal <lora:da_DarksDolls_Violet_PonyXL_v01:0.8>
Negative prompt
score_3, ugly, low quality, (anime, cartoon, blender, video game:1.3), daylight, braid, (freckles:1.2), sunlight, naked, nipples, nsfw, (elf ears, alien:1.1), stretched, bad anatomy, (mole, skin moles, skin blemishes:1.1), low resolution, plump, fat, insects, bugs, rating_explicit, z_PonyXL_v2_neg, z_PonyXL_PhotoReal_neg
Seed
542763830
Size
832x1216
Model
CyberRealisticPony_v31
Sampler
DPM++ SDE Karras
Steps
40
CFG scale
10.5
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Hashes
{'model': 'f24f231df7', 'lora:da_DarksDolls_Violet_PonyXL_v01': '9f3860ce5296'}
Version
f0.0.17v1.8.0rc-latest-287-g77bdb920
Resources
[{'hash': '9f3860ce5296', 'name': 'da_DarksDolls_Violet_PonyXL_v01', 'type': 'lora', 'weight': 0.8}, {'hash': 'f24f231df7', 'name': 'CyberRealisticPony_v31', 'type': 'model'}]
Model hash
f24f231df7
Hires steps
40
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Adetailer version
24.5.1
Denoising strength
0.42
Adetailer model 3rd
Eyeful_v2-Paired.pt
Adetailer steps 3rd
64
Adetailer prompt 3rd
{'multicolored': '1.2)', 'da_Heterochromia_PonyXL_v02': '1.0>'}
Adetailer sampler 3rd
DPM++ SDE Karras
Adetailer cfg scale 3rd
8.5
Adetailer mask blur 3rd
24
Adetailer confidence 3rd
0.3
Adetailer dilate erode 3rd
64
Adetailer inpaint width 3rd
1024
Adetailer inpaint height 3rd
1024
Adetailer inpaint padding 3rd
128
Adetailer negative prompt 3rd
{'anime': '1.3)'}
Adetailer denoising strength 3rd
0.48
Adetailer use separate steps 3rd
True
Adetailer inpaint only masked 3rd
True
Adetailer use separate sampler 3rd
True
Adetailer use separate cfg scale 3rd
True
Adetailer mask only top k largest 3rd
1
Adetailer use inpaint width height 3rd
True
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+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, score_6_up, yandere trance, evulchibiart style, yun_fd, long pink hair, crazy, purple room, yandere, 1girl, solo, horny, blush, slutty face, hands on own cheeks, pink color scheme, pink overlay, neon lighting, face focus, detailed, crazy eyes, crazy smile, pinky fingers, glowing eyes, blank eyes, feminine, pretty face, cute hands, long hair, blushing, open mouth, <lora:YunoGasai_PonyXL:0.7> <lora:Artstyle-PDXL-EvulChibi-v1:0.9> <lora:YandereTrance_PonyXL:0.3>
Negative prompt
score_1, score_3, blurry, low resolution, unfocused, distorted, warped, collage, photo, obese, (laughing:1.1), silly, cartoon, warped, grin, corrupt, horror
Seed
2791078391
Size
1280x832
Model
PonyDiffusionXL_v6
Sampler
DPM++ SDE
Steps
32
CFG scale
7.5
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+
+ + +
+
Hashes
{'model': '67ab2fd8ec', 'lora:YunoGasai_PonyXL': '3a3af8c6399e', 'lora:YandereTrance_PonyXL': '1de4f894c14a', 'lora:Artstyle-PDXL-EvulChibi-v1': 'd57ac874073c'}
Version
f1.0.2-v1.10.1RC-latest-702-g363970b5
Emphasis
No norm
Clipskip
2
Pag_block
middle
Pag_scale
3
Resources
[{'hash': '3a3af8c6399e', 'name': 'YunoGasai_PonyXL', 'type': 'lora', 'weight': 0.7}, {'hash': 'd57ac874073c', 'name': 'Artstyle-PDXL-EvulChibi-v1', 'type': 'lora', 'weight': 0.9}, {'hash': '1de4f894c14a', 'name': 'YandereTrance_PonyXL', 'type': 'lora', 'weight': 0.3}, {'hash': '67ab2fd8ec', 'name': 'PonyDiffusionXL_v6', 'type': 'model'}]
Model hash
67ab2fd8ec
Hires steps
44
Pag_enabled
True
Pag_rescale
0
Hires resize
1920x0
Pag_block_id
0
Schedule type
Karras
Hires upscaler
4x-UltraSharp
Variation seed
4133548314
Pag_block_list
Pag_hr_override
False
Pag_rescale_mode
full
Denoising strength
0.44
Pag_adaptive_scale
0
Adetailer model 2nd
Eyeful_v2-Paired.pt
Variation seed strength
0.06
+ \ No newline at end of file diff --git a/adetailer/eyefulRobustEyeDetection_v2Paired.json b/adetailer/eyefulRobustEyeDetection_v2Paired.json new file mode 100644 index 0000000000000000000000000000000000000000..efd9a8798bf0638bb0bcd4f309d068641bcf1c2c --- /dev/null +++ b/adetailer/eyefulRobustEyeDetection_v2Paired.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Eyeful | Robust eye detection for Adetailer and ComfyUI for any digital images.Version 2\ufe0f\u20e3 Update:The most thorough and powerful eye detection is back and better than ever with a massive v2 update. By prior request and to fulfill multiple needs better, the model has been retrained twice, in both paired eyes and single eyes for any use cases, with a much bigger data set.Dataset: ~7600 custom annotated images.Training: ~440 Epochs per model, with 60 total runs to tune hyperparameters.Sleep lost: A bunch.\ud83d\udd8c\ufe0f The rules for detecting eyes are carefully honed to select for things people would want to in-paint or highlight, to attempt to avoid false positives:Match:\u2611\ufe0f Pairs or individual eyes on any face like structure\u2611\ufe0f Beady black eyes like animal eyes\u2611\ufe0f No eyes, but bright highlights in a space where eyes would be e.g. under a hood\u2611\ufe0f Side-facing eyes if sclera is visible\u2611\ufe0f (For paired) Single eyes if only one is visibleIgnore:\u274c Goggles, sunglasses, or any types of visor\u274c Skull-like eye sockets or holes, absence of eyes\u274c Flat black eyes with no highlightsAbout: Eyeful is a custom trained YOLOv8 model meant to be used with ADetailer or any other bbox/detection compatible plugin for Automatic1111 or ComfyUI https://github.com/ltdrdata/ComfyUI-Impact-Pack. This network can also be run completely standalone with Ultralytics https://github.com/ultralytics/ultralytics#cli.Detection: This model has a robust custom training dataset, and a custom training pipeline that means it can detect eyes that are in various styles such as painting, artistic, 3d, realistic, anime, manga, even some pixel art.SettingsDetection Confidence Threshold: >0.40\nModel Location (A1111): Extract zip into models/adetailer folder\nModel Location (Comfy): Extract zip into models/ultralytics/bbox folderFailure Cases: There are reasonable limits where an eye may be too stylized or abstract to be highlighted without introducing too many false positives in the training, so this model tries to straddle the line of what you likely would consider an eye worth highlighting, human-like animal eyes: yes, sunglasses: no, etc.Extreme closeup images will trigger multi-detections if the whole frame is eyeball, but at that point you shouldn't be using this model anyway.", + "sd version": "Other", + "modelId": 178518, + "sha256": "612F6F065D18526DD3B30A5D39B3991D8DEC0B0D7EBB73B6AC4E7B0AD42B798A", + "unpackList": [ + "Eyeful_v2-Paired.pt" + ] +} \ No newline at end of file diff --git a/adetailer/eyefulRobustEyeDetection_v2Paired.preview.png b/adetailer/eyefulRobustEyeDetection_v2Paired.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..2912269a4223e70a372781fe9dfc304d537d4663 Binary files /dev/null and b/adetailer/eyefulRobustEyeDetection_v2Paired.preview.png differ diff --git a/adetailer/eyesAdetailerModel_v10.html b/adetailer/eyesAdetailerModel_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..9a7a9913a0983758623f958f69a5ffadb48a589e --- /dev/null +++ b/adetailer/eyesAdetailerModel_v10.html @@ -0,0 +1,127 @@ + + + + + + +
+

Eyes ADetailer model

+

Uploaded by Null_ai_director

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2024-02-18
+
Availability
+
Public
+
CivitAI Tags
+
+
+ concepteyesferalanthrofurryeyeadetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/349668
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This ADetailer model helps to annotate eyes on images to inpaint them automatically. Model was trained using yolov8s model.

Usage:

  1. Copy into your "models/adetailer" folder and extract

  2. Activate adetailer extension and select model by it's name

I suggest to use it with 0.3 threshold and mask only the top k largest 2 and mask merge mode - merge, but usually detections outputs are with confidences 0.7 and more.

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Prompt
hi res, (photography \(artwork\):1.3), (8к:1.3), (photorealism:1.6), (absurd res:1.3), (best quality:1.2), (detailed:1.3), shaded, simple background, (full-length portrait:1.4), (solo:1.3) +BREAK +smile, (scales:1.3), (male:1.3), (black blue body:1.3), (anthro:1.3), (eastern dragon:1.3), (green eyes:1.3), green sclera, pointy ears, white eyebrows, (eyebrows ridges:1.3), (detailed eyes:1.3), (black pupils:1.3), ((black:1.3) (avian:0.9) legs and limbs:1.3), black canid nose, (thumbs:1.3), (3 thick toes:1.3), (4 thick fingers:1.4), white hair, 2 white horns, (ridged and scales horn:1.3), (full-length portrait:1.2), (lying:1.3), (scales white chest:1.2), tail aside +BREAK +(by thatweirdguyjosh:1.3), by f-r95, by jishinu, by loimu, by syuro <lora:eastern_dragon_2.0:0.6>
Negative prompt
Bwu, updn, dfc, toony, NSFW, (traditional media \(artwork\):1.1) +BREAK +navel, (big arms:1.2), (close-up:1.3), whiskers, clothing, white body, (Feamle), breasts, fat, chest tuft, (wings:1.3), (beak:1.1), abs, (muscular:1.3), (double ears), (ear frill), (ear fins), big ears, extra tail, double tail, (barbel \(anatomy\):1.1), 2 toes, jewelry, missing tail, extra legs
Seed
697543265
Size
512x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
20
CFG scale
7
+
+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
Dfc
21c6ae158a7e"
"bwu
70e376c5cf1d
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'name': 'eastern_dragon_2.0', 'type': 'lora', 'weight': 0.6}, {'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Lanczos
Adetailer model
eye_furry_v2.pt
Adetailer prompt
green eye
Adetailer version
24.1.2
Refiner switch at
0.4
Denoising strength
0.4
"eastern_dragon_2.0
210abd89cec3"
Adetailer mask blur
16
Adetailer confidence
0.4
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer mask merge invert
Merge
Adetailer denoising strength
0.6
Adetailer inpaint only masked
True
Adetailer mask only top k largest
2
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+
+ + + + +
+ +
+
Prompt
hi res, (photography \(artwork\):1.3), (8к:1.3), (photorealism:1.6), (absurd res:1.3), (best quality:1.2), (detailed:1.3), shaded, simple background, (full-length portrait:1.4), (solo:1.3) +BREAK +smile, (scales:1.3), (male:1.3), (black blue body:1.3), (anthro:1.3), (eastern dragon:1.3), (green eyes:1.3), green sclera, pointy ears, white eyebrows, (eyebrows ridges:1.3), (detailed eyes:1.3), (black pupils:1.3), ((black:1.3) (avian:0.9) legs and limbs:1.3), black canid nose, (thumbs:1.3), (3 thick toes:1.3), (4 thick fingers:1.4), white hair, 2 white horns, (ridged and scales horn:1.3), (full-length portrait:1.2), (lying:1.3), (scales white chest:1.2), tail aside +BREAK +(by thatweirdguyjosh:1.3), by f-r95, by jishinu, by loimu, by syuro <lora:eastern_dragon_2.0:0.6>
Negative prompt
Bwu, updn, dfc, toony, NSFW, (traditional media \(artwork\):1.1) +BREAK +navel, (big arms:1.2), (close-up:1.3), whiskers, clothing, white body, (Feamle), breasts, fat, chest tuft, (wings:1.3), (beak:1.1), abs, (muscular:1.3), (double ears), (ear frill), (ear fins), big ears, extra tail, double tail, (barbel \(anatomy\):1.1), 2 toes, jewelry, missing tail, extra legs
Seed
697543265
Size
512x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
20
CFG scale
7
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+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
Dfc
21c6ae158a7e"
"bwu
70e376c5cf1d
Updn
b4ae8ca1b247
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Pad conds
True
Resources
[{'name': 'eastern_dragon_2.0', 'type': 'lora', 'weight': 0.6}, {'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Lanczos
Adetailer model
eye_furry_v2.pt
Adetailer prompt
green eye
Adetailer version
24.1.2
Refiner switch at
0.4
Denoising strength
0.4
"eastern_dragon_2.0
210abd89cec3"
Adetailer mask blur
16
Adetailer confidence
0.4
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer mask merge invert
Merge
Adetailer denoising strength
0.6
Adetailer inpaint only masked
True
Adetailer mask only top k largest
2
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Prompt
fox, anthro, smiling, eye
Seed
3946478419
Size
512x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
20
CFG scale
7
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+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Lanczos
Adetailer model
eye_furry_v2.pt
Adetailer prompt
green eye
Adetailer version
24.1.2
Refiner switch at
0.4
Denoising strength
0.4
Adetailer mask blur
16
Adetailer confidence
0.1
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer mask merge invert
Merge
Adetailer denoising strength
0.6
Adetailer inpaint only masked
True
Adetailer mask only top k largest
2
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+
+ + + + +
+ +
+
Prompt
fox, anthro, smiling, eye
Seed
3946478419
Size
512x512
Model
QueasyFluff_V1_fp16_no-ema
Sampler
Restart
Steps
20
CFG scale
7
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+
+ + +
+
Vae
vae-ft-mse-840000-ema-pruned.safetensors
Hashes
{'model': '1907f18943'}
Refiner
bb95FurryMix_v130 [1ef8f0a045]
Version
v1.7.0
Vae hash
735e4c3a44
Resources
[{'hash': '1907f18943', 'name': 'QueasyFluff_V1_fp16_no-ema', 'type': 'model'}]
Model hash
1907f18943
Hires refiner
both passes
Hires upscale
2
Hires upscaler
Lanczos
Adetailer model
eye_furry_v2.pt
Adetailer prompt
green eye
Adetailer version
24.1.2
Refiner switch at
0.4
Denoising strength
0.4
Adetailer mask blur
16
Adetailer confidence
0.1
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer mask merge invert
Merge
Adetailer denoising strength
0.6
Adetailer inpaint only masked
True
Adetailer mask only top k largest
2
+ \ No newline at end of file diff --git a/adetailer/eyesAdetailerModel_v10.json b/adetailer/eyesAdetailerModel_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..9635e555bc365ccd614d3b4eb3b59ededb37f63a --- /dev/null +++ b/adetailer/eyesAdetailerModel_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This ADetailer model helps to annotate eyes on images to inpaint them automatically. Model was trained using yolov8s model.Usage:Copy into your \"models/adetailer\" folder and extractActivate adetailer extension and select model by it's nameI suggest to use it with 0.3 threshold and mask only the top k largest 2 and mask merge mode - merge, but usually detections outputs are with confidences 0.7 and more.", + "sd version": "SD1", + "modelId": 311567, + "sha256": "AA4DA9522537A7A92515F40535B529526D53B207087C94155A1E8226A4F82B94", + "unpackList": [ + "eye_furry_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/eyesAdetailerModel_v10.preview.png b/adetailer/eyesAdetailerModel_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..2785cfba693340f22b0386df55d2eb12e7437a96 Binary files /dev/null and b/adetailer/eyesAdetailerModel_v10.preview.png differ diff --git a/adetailer/eyesDetection_v10.html b/adetailer/eyesDetection_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..1baea6a2a477de7d3681ef0d60f0f3922a74e315 --- /dev/null +++ b/adetailer/eyesDetection_v10.html @@ -0,0 +1,133 @@ + + + + + + +
+

Eyes detection (Adetailer)

+

Uploaded by SnowyYukino

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+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2023-09-24
+
Availability
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Public
+
CivitAI Tags
+
+
+ eyestooldetectionadetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/168820
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This model detects eyes so you can add more detail to the eyes.

Can be used for:

  • Adding details to eyes

  • Enhance character specific eyes (Hu Tao, AI Hoshino, etc.)

  • Use with models for eyes

How to use:

Open Adetailer tab

  • Open detection tab

  • Insert you prompts, leave empty for same prompts as main generation

  • Decide confidence threshold (recommended 0.3-0.5) usually finds it around 0.8 or higher but might not find the eye if character has disfigured eye or looking away.

  • Mask only the top

    • Apply to top (2) highest confidence score.

    • Depends on the amount of eyes you want to detect, default would be 2!

    • Example: character with eyepatch only detect 1

    • Example: Kokushibo from demonslayer has 6 eyes so apply to top 6

    • 0 = default = no limit, all scores above threshold are applied

  • Mask Preprocessing set to merge to do all detections at the same time

    • Use this mainly for an image of a solo character

    • Have a higher threshold so background characters don't get applied

  • Inpainting, choose to leave settings the same as the main generation or custom

How to install:

  1. Go to https://github.com/Bing-su/adetailer and install Adetailer

  2. Place the this file (Eyes.pt) in "stable-diffusion-webui\models\adetailer"

  3. and reload WebUI.

Install for Automatic1111:

  1. Open "Extensions" tab.

  2. Open "Install from URL" tab in the tab.

  3. Enter https://github.com/Bing-su/adetailer.git to "URL for extension's git repository".

  4. Press "Install" button.

  5. Wait 5 seconds, and you will see the message "Installed into stable-diffusion-webui\extensions\adetailer. Use Installed tab to restart".

  6. Go to "Installed" tab, click "Check for updates", and then click "Apply and restart UI". (The next time you can also use this method to update extensions.)

  7. Completely restart A1111 webui including your terminal. (If you do not know what is a "terminal", you can reboot your computer: turn your computer off and turn it on again.)

Check out my posts on my Pixiv: https://www.pixiv.net/en/users/20080642

If you'd like to support me a little check out my ko-fi page: https://ko-fi.com/yukinoai

If you want to see all my exclusive (and uncensored) posts check out my Patreon: https://www.patreon.com/Yukino_AI

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Prompt
Highly detailed, High Quality, masterpiece, 1girl, solo, looking at viewer, silver hair, green eyes, cat ears, smile, portrait, simple background, (white background),
Negative prompt
(worst quality, low quality:1.5), (deformed hands, polydactyl:1.5), (extra fingers, extra arms, extra hands, extra nipplees, extra anuses, extra penises), (bad hands, missing fingers, extra digit, fewer digits), (flat color, lowres, jpeg artifacts, blurry, error), (logo, signature, text, tittle, gly, username, watermark), (censored, monochrome, grayscale, comic, cropped, cross section, panel layout, multiple view, split view), (easynegative), (negative_hand-neg), deformed fingers,
Seed
17543197
Size
512x768
Model
raenamix_v30
Sampler
DPM++ SDE Karras
Steps
28
CFG scale
7
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+
+ + +
+
Hashes
{'model': '138b303a9b'}
Version
v1.5.1
Clipskip
2
Resources
[{'hash': '138b303a9b', 'name': 'raenamix_v30', 'type': 'model'}]
Model hash
138b303a9b
Hires steps
12
"easynegative
c74b4e810b03
Hires upscale
2
Hires upscaler
4x-AnimeSharp
Negative_hand-neg
73b524a2da12"
Denoising strength
0.4
+ \ No newline at end of file diff --git a/adetailer/eyesDetection_v10.json b/adetailer/eyesDetection_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..40b2a96c8ee8bd3e7dd128488938f33d2617258f --- /dev/null +++ b/adetailer/eyesDetection_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This model detects eyes so you can add more detail to the eyes.Can be used for:Adding details to eyesEnhance character specific eyes (Hu Tao, AI Hoshino, etc.)Use with models for eyesHow to use:Open Adetailer tabOpen detection tabInsert you prompts, leave empty for same prompts as main generationDecide confidence threshold (recommended 0.3-0.5) usually finds it around 0.8 or higher but might not find the eye if character has disfigured eye or looking away.Mask only the topApply to top (2) highest confidence score.Depends on the amount of eyes you want to detect, default would be 2!Example: character with eyepatch only detect 1Example: Kokushibo from demonslayer has 6 eyes so apply to top 60 = default = no limit, all scores above threshold are appliedMask Preprocessing set to merge to do all detections at the same timeUse this mainly for an image of a solo characterHave a higher threshold so background characters don't get appliedInpainting, choose to leave settings the same as the main generation or customHow to install:Go to https://github.com/Bing-su/adetailer https://github.com/Bing-su/adetailer and install AdetailerPlace the this file (Eyes.pt) in \"stable-diffusion-webui\\models\\adetailer\"and reload WebUI.Install for Automatic1111:Open \"Extensions\" tab.Open \"Install from URL\" tab in the tab.Enter https://github.com/Bing-su/adetailer.git https://github.com/Bing-su/adetailer.git to \"URL for extension's git repository\".Press \"Install\" button.Wait 5 seconds, and you will see the message \"Installed into stable-diffusion-webui\\extensions\\adetailer. Use Installed tab to restart\".Go to \"Installed\" tab, click \"Check for updates\", and then click \"Apply and restart UI\". (The next time you can also use this method to update extensions.)Completely restart A1111 webui including your terminal. (If you do not know what is a \"terminal\", you can reboot your computer: turn your computer off and turn it on again.)Check out my posts on my Pixiv: https://www.pixiv.net/en/users/20080642 https://www.pixiv.net/en/users/20080642If you'd like to support me a little check out my ko-fi page: https://ko-fi.com/yukinoai https://ko-fi.com/yukinoaiIf you want to see all my exclusive (and uncensored) posts check out my Patreon: https://www.patreon.com/Yukino_AI https://www.patreon.com/Yukino_AI", + "sd version": "SD1", + "modelId": 150925, + "sha256": "109B2B07FA7F7004D09E6B652BF5AA9463114B1B817EC486F07C8AC1C97C79D6", + "unpackList": [ + "Eyes.pt" + ] +} \ No newline at end of file diff --git a/adetailer/eyesDetection_v10.preview.png b/adetailer/eyesDetection_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..de74e6a608c53528578523d20ffc21f7963c656f Binary files /dev/null and b/adetailer/eyesDetection_v10.preview.png differ diff --git a/adetailer/face_yolov8m.pt b/adetailer/face_yolov8m.pt new file mode 100644 index 0000000000000000000000000000000000000000..7448998167649f4418ec3b3d8467903512b22ced --- /dev/null +++ b/adetailer/face_yolov8m.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:717923c19b3f4bbf5250b728f1fa6b2cb72a33aed1d236ea9caf0e21ad943e5f +size 52026019 diff --git a/adetailer/face_yolov8s.pt b/adetailer/face_yolov8s.pt new file mode 100644 index 0000000000000000000000000000000000000000..d21411d03089b8b1a622cd1afbf9992645d30da7 --- /dev/null +++ b/adetailer/face_yolov8s.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c7237eff25787377de196961140ceaed324d859ee8de5a775d93d33a0e3fab78 +size 22507707 diff --git a/adetailer/face_yolov9c.pt b/adetailer/face_yolov9c.pt new file mode 100644 index 0000000000000000000000000000000000000000..92c50bb81033ff46ac25e6ae071148252789dffe --- /dev/null +++ b/adetailer/face_yolov9c.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d02fe493c31e1bbc6450f4dc6f1db86a02a59322ff1f6d318da0661d72ddd084 +size 51648019 diff --git a/adetailer/female-breast-v4.7.pt b/adetailer/female-breast-v4.7.pt new file mode 100644 index 0000000000000000000000000000000000000000..9b7a779c9de01bca73fcbb306bd213f97e646687 --- /dev/null +++ b/adetailer/female-breast-v4.7.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e2f1c7b968c89eb1ae1392278029567ff54c9e4910bbc01b6bd10fac0bdd5ba2 +size 22492590 diff --git a/adetailer/fullEyesDetection_v10.html b/adetailer/fullEyesDetection_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..6983962f2effe9434ee51e34a0d058c7fa1273f1 --- /dev/null +++ b/adetailer/fullEyesDetection_v10.html @@ -0,0 +1,99 @@ + + + + + + +
+

Full Eyes detection (Adetailer)

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Uploaded by daswer123

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2024-03-04
+
Availability
+
Public
+
CivitAI Tags
+
+
+ eyestooldetectionadetaileradetail +
+
+
Download Link
+
https://civitai.com/api/download/models/373036
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+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This model is designed to detect pairs of eyes, unlike this model https://civitai.com/models/150925/eyes-detection-adetailer , mine is designed to detect pairs of eyes. Thanks to the creator, this has inspired me to train this model

This is my first project on yolov8

Recommended confidence threshold 0.3-0.4

The model works:

1) With anime characters;

2) With humans;

3) With animals;

4) with anyone with pronounced eyes;

5) Works at close and very far distances.

The model also detects closed eyes or if one eye is open but both eyes are visible.

What doesn't work:

1) If a character has one eye covered by something (patch, hair, etc), the model does not recognize it;

2) If there is only one eye in the image with no context that there is another eye.

How to use:

How to install:

  1. Go to https://github.com/Bing-su/adetailer and install Adetailer

  2. Place the this file (full_eyes_detect_yolo8s.pt) in "stable-diffusion-webui\models\adetailer"

  3. and reload WebUI.

Install for Automatic1111:

  1. Open "Extensions" tab.

  2. Open "Install from URL" tab in the tab.

  3. Enter https://github.com/Bing-su/adetailer.git to "URL for extension's git repository".

  4. Press "Install" button.

  5. Wait 5 seconds, and you will see the message "Installed into stable-diffusion-webui\extensions\adetailer. Use Installed tab to restart".

  6. Go to "Installed" tab, click "Check for updates", and then click "Apply and restart UI". (The next time you can also use this method to update extensions.)

  7. Completely restart A1111 webui including your terminal. (If you do not know what is a "terminal", you can reboot your computer: turn your computer off and turn it on again.)

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+ \ No newline at end of file diff --git a/adetailer/fullEyesDetection_v10.json b/adetailer/fullEyesDetection_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..bfd1dc7b933e29ec1b109632bf482e2bdc153841 --- /dev/null +++ b/adetailer/fullEyesDetection_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "This model is designed to detect pairs of eyes, unlike this model https://civitai.com/models/150925/eyes-detection-adetailer https://civitai.com/models/150925/eyes-detection-adetailer , mine is designed to detect pairs of eyes. Thanks to the creator, this has inspired me to train this modelThis is my first project on yolov8Recommended confidence threshold 0.3-0.4The model works:1) With anime characters;2) With humans;3) With animals;4) with anyone with pronounced eyes;5) Works at close and very far distances.The model also detects closed eyes or if one eye is open but both eyes are visible.What doesn't work:1) If a character has one eye covered by something (patch, hair, etc), the model does not recognize it;2) If there is only one eye in the image with no context that there is another eye.How to use:How to install:Go to https://github.com/Bing-su/adetailer https://github.com/Bing-su/adetailer and install AdetailerPlace the this file (full_eyes_detect_yolo8s.pt https://civitai.com/api/download/models/370554) in \"stable-diffusion-webui\\models\\adetailer\"and reload WebUI.Install for Automatic1111:Open \"Extensions\" tab.Open \"Install from URL\" tab in the tab.Enter https://github.com/Bing-su/adetailer.git https://github.com/Bing-su/adetailer.git to \"URL for extension's git repository\".Press \"Install\" button.Wait 5 seconds, and you will see the message \"Installed into stable-diffusion-webui\\extensions\\adetailer. Use Installed tab to restart\".Go to \"Installed\" tab, click \"Check for updates\", and then click \"Apply and restart UI\". (The next time you can also use this method to update extensions.)Completely restart A1111 webui including your terminal. (If you do not know what is a \"terminal\", you can reboot your computer: turn your computer off and turn it on again.)", + "sd version": "SD1", + "modelId": 330727, + "sha256": "1EEF7079171FCB5461F99A46B2359C98C0FB565A57F4FF053774DB3B9711A42E", + "unpackList": [ + "full_eyes_detect_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/fullEyesDetection_v10.preview.png b/adetailer/fullEyesDetection_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..fe2ac33e6a41259b7add2ba08ad134fd7a0103eb Binary files /dev/null and b/adetailer/fullEyesDetection_v10.preview.png differ diff --git a/adetailer/full_eyes_detect_v1.pt b/adetailer/full_eyes_detect_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..9196e9ff7427959acd054bdbc8a5a1939d58a5ac --- /dev/null +++ b/adetailer/full_eyes_detect_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:659329ef408c7626be47a7c9a21e635b3cf99f6eb19a5a1db27e532ee86bf32a +size 22519769 diff --git a/adetailer/generate.py b/adetailer/generate.py new file mode 100644 index 0000000000000000000000000000000000000000..efb1ffea2789889191319076221ffab42236727d --- /dev/null +++ b/adetailer/generate.py @@ -0,0 +1,124 @@ +# Imports +from ultralytics import YOLO +from pathlib import Path +from PIL import Image, ImageDraw, ImageFont +from tqdm import tqdm + +# Directories +input_dir = Path('./generate_input') +output_dir = Path('./generate_output') + +# Image output settings +image_output_dir = output_dir / "overlays" # Specify the directory for processed images +image_output_dir.mkdir(parents=True, exist_ok=True) # Create the directory if it doesn't exist +image_prefix = "" # Image prefix, can be empty +image_suffix = "" # Image suffix, can be empty + +# Text output settings +text_output_dir = output_dir / "detections" +text_output_dir.mkdir(parents=True, exist_ok=True) +text_prefix = "" # Text prefix, can be empty +text_suffix = "" # Text suffix, can be empty + +# Load your trained model +model_path = './models/watermarks_s_yolov8_v1.pt' +model = YOLO(model_path) + +# Classes to detect +# Example: ['SpeechBalloons', 'General_speech', 'hit_sound', 'blast_sound', 'narration speech', 'thought_speech', 'roar'] +selected_classes = ['watermark'] + +# Class override mapping, treats the left side of the mapping as if it was the class of the right side +# Example: thought_speech annotations will be treated as SpeechBalloons annotations. +class_overrides = { + 'thought_speech': 'SpeechBalloons', +} + +# Confidence threshold, minimum detection confidence to consider success +confidence_threshold = 0.15 + +# Label settings +label_boxes = True # Set to True to draw class names, False for just boxes +font_size = 30 # Font size for the class labels + +try: + font = ImageFont.truetype("arial.ttf", 30) # Update font size as needed +except IOError: + font = ImageFont.load_default() + print("Default font will be used, as custom font not found.") + +# Label colors by index +predefined_colors_with_text = [ + ((204, 0, 0), 'white'), # Darker red, white text + ((0, 204, 0), 'black'), # Darker green, black text + ((0, 0, 204), 'white'), # Darker blue, white text + ((204, 204, 0), 'black'), # Darker yellow, black text + ((204, 0, 204), 'white'), # Darker magenta, white text + ((0, 204, 204), 'black'), # Darker cyan, black text + ((153, 0, 0), 'white'), # Darker maroon, white text + ((0, 153, 0), 'white'), # Darker green, white text + ((0, 0, 153), 'white'), # Darker navy, white text + ((153, 153, 0), 'black'), # Darker olive, black text + # Add more color pairs if needed +] + +# Assign colors to each class +class_colors = {class_name: predefined_colors_with_text[i][0] for i, class_name in enumerate(selected_classes)} +text_colors = {class_name: predefined_colors_with_text[i][1] for i, class_name in enumerate(selected_classes)} + +# Store input images in a variable +image_paths = [] +for extension in ['*.jpg', '*.jpeg', '*.png']: + image_paths.extend(input_dir.glob(extension)) + +# Function to estimate text size +def estimate_text_size(label, font_size): + approx_char_width = font_size * 0.6 + text_width = len(label) * approx_char_width + text_height = font_size + return text_width, text_height + +def write_detections_to_file(image_path, detections): + # Create a text file named after the image + text_file_path = text_output_dir / f"{text_prefix}{image_path.stem}{text_suffix}.txt" + + with open(text_file_path, 'w') as file: + for detection in detections: + file.write(f"{detection}\n") + +# Process images with progress bar +for image_path in tqdm(image_paths, desc='Processing Images'): + img = Image.open(image_path) + results = model.predict(img) + draw = ImageDraw.Draw(img) + detections = [] + + if len(results) > 0 and results[0].boxes.xyxy is not None: + for idx, box in enumerate(results[0].boxes.xyxy): + x1, y1, x2, y2 = box[:4].tolist() + cls_id = int(results[0].boxes.cls[idx].item()) + conf = results[0].boxes.conf[idx].item() + cls_name = results[0].names[cls_id] if 0 <= cls_id < len(results[0].names) else "Unknown" + cls_name = class_overrides.get(cls_name, cls_name) + + if cls_name in selected_classes and conf >= confidence_threshold: + box_color = class_colors.get(cls_name, (255, 0, 0)) + text_color = text_colors.get(cls_name, 'black') + draw.rectangle([x1, y1, x2, y2], outline=box_color, width=7) + + if label_boxes: + label = f"{cls_name}: {conf:.2f}" + text_size = estimate_text_size(label, font_size) + draw.rectangle([x1, y1 - text_size[1] - 5, x1 + text_size[0], y1], fill=box_color) + draw.text((x1, y1 - text_size[1] - 5), label, fill=text_color, font=font) + + # Add detection data to the list + detections.append(f"{cls_name} {conf:.2f} {x1} {y1} {x2} {y2}") + + # Save images + img.save(image_output_dir / f"{image_prefix}{image_path.stem}{image_suffix}{image_path.suffix}") + + # Write detections to a text file + write_detections_to_file(image_path, detections) + +print(f"Processed {len(image_paths)} images. Output saved to '{image_output_dir}' and '{text_output_dir}'.") diff --git a/adetailer/genitalia.pt b/adetailer/genitalia.pt new file mode 100644 index 0000000000000000000000000000000000000000..525babf7ab4e0c4e6557a009a219d4b9313f7c36 --- /dev/null +++ b/adetailer/genitalia.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a3575563d35103a8af170021a51f3238154a9ea2d77cd1910b67908b2d4a292 +size 6241710 diff --git a/adetailer/handDetailer_v1b.html b/adetailer/handDetailer_v1b.html new file mode 100644 index 0000000000000000000000000000000000000000..3391cc7d68e0d83f687dd18c5e33ad5074f38e35 --- /dev/null +++ b/adetailer/handDetailer_v1b.html @@ -0,0 +1,133 @@ + + + + + + +
+

Hand Detailer/Segmentation - ADetailer

+

Uploaded by Pitpe11

+
+
+
Version
+
v1b
+
Base Model
+
Other
+
Published
+
2024-03-26
+
Availability
+
Public
+
CivitAI Tags
+
+
+ handstooladetailersegmentation +
+
+
Download Link
+
https://civitai.com/api/download/models/411421
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Hand Segmentation for ADetailer

Credits to mnemic for this article and Anzhc for this ADetailer model (see for more information)

Installation:

  1. Download the zip archive

  2. Extract the model into your ADetailer model folder

    • For the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailer

    • For ComfyUI it should be in models/ultralytics/segm

  3. Start it up (full restart if already had it open) and select the model from the ADetailer tab/node (tip for webui: you can go to Settings→Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models)

  4. Make sure to have correct Detection thresholds/inpaint strength and so on for your images

  5. Generate them hands!

It detects hands good enough for what SD hands can be. I might work more on this in the future. Please tell me what you think. Thanks! 😊

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Prompt
ethereal fantasy concept art of beautiful forest woman,bodysuit,upper body,hand up,Amber eyes,. magnificent,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),key visual,nude,nsfw,bad hands,mutated hands,cleavage,celestial,
Seed
4001149126
Size
1024x1024
Model
MixTapeXL-Vol.2.1-DPO-Luminescence
Sampler
DDPM Karras
Steps
20
CFG scale
5.5
+
+
+ + +
+
Hashes
{'model': '2afec3a0c4', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Resources
[{'hash': '2afec3a0c4', 'name': 'MixTapeXL-Vol.2.1-DPO-Luminescence', 'type': 'model'}]
Model hash
2afec3a0c4
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitHandDetailer-v1b-seg.pt
Adetailer prompt
{}
Adetailer version
24.3.3
Denoising strength
0.45
Adetailer mask blur
4
Adetailer confidence
0.35
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.46
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
ethereal fantasy concept art of beautiful forest woman,bodysuit,upper body,hand up,Amber eyes,. magnificent,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),key visual,nude,nsfw,bad hands,mutated hands,cleavage,celestial,
Seed
4001149126
Size
1024x1024
Model
MixTapeXL-Vol.2.1-DPO-Luminescence
Sampler
DDPM Karras
Steps
20
CFG scale
5.5
+
+
+ + +
+
Hashes
{'model': '2afec3a0c4', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Mask blur
4
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': '2afec3a0c4', 'name': 'MixTapeXL-Vol.2.1-DPO-Luminescence', 'type': 'model'}]
Model hash
2afec3a0c4
Hires steps
15
Hires prompt
{}
Inpaint area
Only masked
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitHandDetailer-v1b-seg.pt
Adetailer prompt
{}
Adetailer version
24.3.3
Denoising strength
0.46
Adetailer mask blur
4
Masked area padding
32
Adetailer confidence
0.35
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.46
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
ethereal fantasy concept art of beautiful forest woman,bodysuit,upper body,hand up,Amber eyes,. magnificent,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),key visual,nude,nsfw,bad hands,mutated hands,cleavage,celestial,
Seed
4001149126
Size
1024x1024
Model
MixTapeXL-Vol.2.1-DPO-Luminescence
Sampler
DDPM Karras
Steps
20
CFG scale
5.5
+
+
+ + +
+
Hashes
{'model': '2afec3a0c4', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Mask blur
4
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': '2afec3a0c4', 'name': 'MixTapeXL-Vol.2.1-DPO-Luminescence', 'type': 'model'}]
Model hash
2afec3a0c4
Hires steps
15
Hires prompt
{}
Inpaint area
Only masked
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitHandDetailer-v1b-seg.pt
Adetailer prompt
{}
Adetailer version
24.3.3
Denoising strength
0.46
Adetailer mask blur
4
Masked area padding
32
Adetailer confidence
0.35
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.46
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
ethereal fantasy concept art of beautiful forest woman,bodysuit,upper body,hand up,Amber eyes,. magnificent,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),key visual,nude,nsfw,bad hands,mutated hands,cleavage,celestial,
Seed
4001149126
Size
1024x1024
Model
MixTapeXL-Vol.2.1-DPO-Luminescence
Sampler
DPM++ 3M SDE Exponential
Steps
20
CFG scale
5.5
+
+
+ + +
+
Hashes
{'model': '2afec3a0c4', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': '2afec3a0c4', 'name': 'MixTapeXL-Vol.2.1-DPO-Luminescence', 'type': 'model'}]
Model hash
2afec3a0c4
Hires steps
15
Hires prompt
{}
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitHandDetailer-v1b-seg.pt
Adetailer prompt
perfect hands
Adetailer version
24.3.3
Denoising strength
0.45
Adetailer mask blur
4
Adetailer confidence
0.35
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.45
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
ethereal fantasy concept art of beautiful forest woman,bodysuit,upper body,hand up,Amber eyes,. magnificent,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),key visual,nude,nsfw,bad hands,mutated hands,cleavage,celestial,
Seed
4001149126
Size
1024x1024
Model
MixTapeXL-Vol.2.1-DPO-Luminescence
Sampler
DPM++ 3M SDE Exponential
Steps
20
CFG scale
5.5
+
+
+ + +
+
Hashes
{'model': '2afec3a0c4', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Mask blur
4
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': '2afec3a0c4', 'name': 'MixTapeXL-Vol.2.1-DPO-Luminescence', 'type': 'model'}]
Model hash
2afec3a0c4
Hires steps
15
Hires prompt
{}
Inpaint area
Only masked
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitHandDetailer-v1b-seg.pt
Adetailer prompt
perfect hands
Adetailer version
24.3.3
Denoising strength
0.45
Adetailer mask blur
4
Masked area padding
32
Adetailer confidence
0.35
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.45
Adetailer inpaint only masked
True
+ \ No newline at end of file diff --git a/adetailer/handDetailer_v1b.json b/adetailer/handDetailer_v1b.json new file mode 100644 index 0000000000000000000000000000000000000000..9a9ec470c6192e5651419bc1e734fbb96b808f04 --- /dev/null +++ b/adetailer/handDetailer_v1b.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Hand Segmentation for ADetailerCredits to mnemic https://civitai.com/user/mnemic for this article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model and Anzhc https://civitai.com/user/Anzhc for this ADetailer model https://civitai.com/models/293448/anzhcs-face-segmentation-prototype-or-yolov8-or-adetailer-model?modelVersionId=331333 (see for more information)Installation:Download the zip archiveExtract the model into your ADetailer model folderFor the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailerFor ComfyUI it should be in models/ultralytics/segmStart it up (full restart if already had it open) and select the model from the ADetailer tab/node (tip for webui: you can go to Settings\u2192Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models)Make sure to have correct Detection thresholds/inpaint strength and so on for your imagesGenerate them hands!It detects hands good enough for what SD hands can be. I might work more on this in the future. Please tell me what you think. Thanks! \ud83d\ude0a", + "sd version": "Other", + "modelId": 329458, + "sha256": "A936C9F60A7B10336CC50EA7AA52050DAF6C769ABB844A2707ED5E4EE25D2F4D", + "unpackList": [ + "PitHandDetailer-v1b-seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/handDetailer_v1b.preview.png b/adetailer/handDetailer_v1b.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..8f2df5fd65f4140af03b0f75ddbe1968992ffe57 Binary files /dev/null and b/adetailer/handDetailer_v1b.preview.png differ diff --git a/adetailer/hand_yolov8s.pt b/adetailer/hand_yolov8s.pt new file mode 100644 index 0000000000000000000000000000000000000000..ade984820a88c6111d73db1e86d375185d227f3c --- /dev/null +++ b/adetailer/hand_yolov8s.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70b540063fbc385736d8258970744a4afbc4cbf7932134bae3b24cdadeadec06 +size 22507643 diff --git a/adetailer/hand_yolov9c.pt b/adetailer/hand_yolov9c.pt new file mode 100644 index 0000000000000000000000000000000000000000..1d06fab551b36980d2cf1002a3c5afc071cf5435 --- /dev/null +++ b/adetailer/hand_yolov9c.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6f116f686ef5942fa0c1d08db481b3d7622047a97847eccfb2a264f9ce9777f2 +size 51633747 diff --git a/adetailer/horse_pussy_v1.pt b/adetailer/horse_pussy_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..65188b382cd4513031a943dfe4df1801281a3f3c --- /dev/null +++ b/adetailer/horse_pussy_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:baadef7b020a46e10391cf8bb9c781b70973b1c1a2a0ea55c27c47a2f228ac1c +size 6349667 diff --git a/adetailer/lips_v1.pt b/adetailer/lips_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..5e4ac9c16077fc5cdc315440278cf72286fc173b --- /dev/null +++ b/adetailer/lips_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce9fe145352af12c072ee11536a3d0de9425280096c4367e7a08636f57c7fe99 +size 6222638 diff --git a/adetailer/maleUnderwear_v2.html b/adetailer/maleUnderwear_v2.html new file mode 100644 index 0000000000000000000000000000000000000000..3c138c5a3704ecf89e0b7bb4df198e355e60d323 --- /dev/null +++ b/adetailer/maleUnderwear_v2.html @@ -0,0 +1,75 @@ + + + + + + +
+

Male Underwear [adetailer]

+

Uploaded by markury

+
+
+
Version
+
V2
+
Base Model
+
Other
+
Published
+
2024-03-19
+
Availability
+
Public
+
CivitAI Tags
+
+
+ maleunderweartooladetaileryolov8afterdetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/399373
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

A yolov8 model for afterdetailer to automatically mask and inpaint male underwear. There is also a version just for waistbands I'm working on since that was the original goal.

For now, I'm labelling it as alpha because it kinda barely works and is my first attempt at training an adetailer model.

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+ \ No newline at end of file diff --git a/adetailer/maleUnderwear_v2.json b/adetailer/maleUnderwear_v2.json new file mode 100644 index 0000000000000000000000000000000000000000..1a6946e7319240fa38c073cadb22926197f0c9b3 --- /dev/null +++ b/adetailer/maleUnderwear_v2.json @@ -0,0 +1,7 @@ +{ + "activation text": "", + "description": "A yolov8 model for afterdetailer to automatically mask and inpaint male underwear. There is also a version just for waistbands I'm working on since that was the original goal.For now, I'm labelling it as alpha because it kinda barely works and is my first attempt at training an adetailer model.", + "sd version": "Other", + "modelId": 356540, + "sha256": "32BAE6281DFB232A98478A4E66F4008810BB6DB89CA3AA8A7B02517C25887705" +} \ No newline at end of file diff --git a/adetailer/maleUnderwear_v2.preview.png b/adetailer/maleUnderwear_v2.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..520038d37d7513284dd5b2f404e1d091b81b16d2 Binary files /dev/null and b/adetailer/maleUnderwear_v2.preview.png differ diff --git a/adetailer/maleUnderwear_v2.pt b/adetailer/maleUnderwear_v2.pt new file mode 100644 index 0000000000000000000000000000000000000000..d6abbb4151f8c9a884eb4874f27a1bf1341fb79d --- /dev/null +++ b/adetailer/maleUnderwear_v2.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32bae6281dfb232a98478a4e66f4008810bb6db89ca3aa8a7b02517c25887705 +size 23938659 diff --git a/adetailer/nailsSegmentationAdetailer_v10.html b/adetailer/nailsSegmentationAdetailer_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..471dacbf36af73b7144f3bda9776101948839822 --- /dev/null +++ b/adetailer/nailsSegmentationAdetailer_v10.html @@ -0,0 +1,51 @@ + + + + + + +
+

Nails Segmentation - ADetailer - (nails_seg_s_yolov8)

+

Uploaded by mnemic

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2024-02-19
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/350020
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

A Yolov8 detection model that segments nails in images.

The model can be used as an ADetailer model (for Automatic1111 / Stable Diffusion use), or using other inference scripts to return detection bounding boxes of watermarks.

The model is entirely trained on the following dataset: Personal Projects/Nails Segmentation

A tutorial and code how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article.

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+ \ No newline at end of file diff --git a/adetailer/nailsSegmentationAdetailer_v10.json b/adetailer/nailsSegmentationAdetailer_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..2d37c677923d5e6624f2abe1fe78ba52c8bd9a42 --- /dev/null +++ b/adetailer/nailsSegmentationAdetailer_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "A Yolov8 detection model that segments nails in images.The model can be used as an ADetailer https://github.com/Bing-su/adetailer model (for Automatic1111 https://github.com/AUTOMATIC1111/ / Stable Diffusion use), or using other inference scripts https://github.com/MNeMoNiCuZ/yolov8-scripts to return detection bounding boxes of watermarks.The model is entirely trained on the following dataset: Personal Projects/Nails Segmentation https://universe.roboflow.com/personal-projects-jfbag/nails_segmentationA tutorial and code how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model.", + "sd version": "SD1", + "modelId": 311886, + "sha256": "E2130D2B478C1252D8D0B6A3D69D46C878D5BA05FFA549F396ADDAD020905CAE", + "unpackList": [ + "nails_seg_s_yolov8_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/nailsSegmentationAdetailer_v10.preview.png b/adetailer/nailsSegmentationAdetailer_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..288d2237fb4281898f0e363c09f3c0b42302b5b4 --- /dev/null +++ b/adetailer/nailsSegmentationAdetailer_v10.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85bcafc2cc4d4cd6147a49224677496b08b7e4690f950fa1c261a51e66cfaba0 +size 4519235 diff --git a/adetailer/nails_seg_s_yolov8_v1.pt b/adetailer/nails_seg_s_yolov8_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..e2412ddd16f6f8102ce8e7b26a62e2eadb10c2c8 --- /dev/null +++ b/adetailer/nails_seg_s_yolov8_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99b7d1c6ceb4bde32d80fe7ae8c8eb809c27d99b55cf9db54b6692afe68f4070 +size 23860899 diff --git a/adetailer/nipple.pt b/adetailer/nipple.pt new file mode 100644 index 0000000000000000000000000000000000000000..9884b138d6134a048a9b801bbb6cd9ad2a75a2a0 --- /dev/null +++ b/adetailer/nipple.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67e04f8d23cb3e56f94a2b892657e500184a9cceabd7cfad2adeb313c19c5b5c +size 36613559 diff --git a/adetailer/nippleAdetailerModel_female.html b/adetailer/nippleAdetailerModel_female.html new file mode 100644 index 0000000000000000000000000000000000000000..8824629e7adffc0c2cb547aa3caf82f22cd15875 --- /dev/null +++ b/adetailer/nippleAdetailerModel_female.html @@ -0,0 +1,91 @@ + + + + + + +
+

Nipple Adetailer Model

+

Uploaded by ffjggrtbjibv

+
+
+
Version
+
female
+
Base Model
+
SD 1.5
+
Published
+
2023-08-27
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tool +
+
+
Download Link
+
https://civitai.com/api/download/models/149588
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Adetailer Model to automatically Impaint Female Breasts

A Adetailer model to automatically impaint nipples.

Usage:

  1. Copy into your "models/adetailer" folder

  2. activate adetailer extension and select the nipple model

  3. adjust denoising and padding as needed

Should work with both Anime and Realistic models but I have not had the time to test extensivly, please give feedback.

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+
Prompt
(high quality photo, masterpiece), 2 naked women standing next to each other, (full body), ponytail
Negative prompt
CyberRealistic_Negative-neg
Seed
1921884653
Size
536x640
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
54
CFG scale
5.6
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Y type
Seed
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
d48a13a
X values
"None,nipple.pt"
Y values
1921884653
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
21
Hires upscale
1.6
Fixed y values
1921884653
Hires upscaler
4x_NMKD-Siax_200k
Image cfg scale
6
Adetailer version
23.8.1
Denoising strength
0.39
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
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Prompt
(1girl, woman, solo, sexy, gorgeous, elegant, slim, (nsfw, nude, naked), green eyes, seductive face, smirk, puffy lips, brown straight hair, smooth body, soft skin, medium breasts, nice hands, perfect hands), ((full body)) +BREAK +standing, head tilt, looking at viewer, head turn, arched back, ,bend, +BREAK +outdoors, sky, trees, +BREAK +absurdres, highres, ultra detailed, (masterpiece, best quality, ultra-detailed), (detailed background), (beautiful detailed face), high contrast, (best illumination, an extremely delicate and beautiful), ((cinematic light)), hyper detail, dramatic light, intricate details,
Negative prompt
[(ng_deepnegative_v1_75t:1.0):0.1], (bad_prompt_version2:0.8), (worst quality, low quality:1.4), (zombie, sketch, comic, extra fingers, missing fingers, mangled fingers, interlocked fingers, poorly rendered fingers, poorly drawn fingers:1.4), watermark, logo, text, letter, numbers, username, (ribs), ((monochrome)), ((grayscale)), +BREAK +standing, head tilt, looking at viewer, head turn, arched back, ,bend, +BREAK +outdoors, sky, trees, +BREAK +absurdres, highres, ultra detailed, (masterpiece, best quality, ultra-detailed), (detailed background), (beautiful detailed face), high contrast, (best illumination, an extremely delicate and beautiful), ((cinematic light)), hyper detail, dramatic light, intricate details,
Seed
1921884653
Size
512x768
Model
meinamix_meinaV11
Sampler
DPM++ 2M Karras
Steps
40
CFG scale
7
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Y type
Seed
Hashes
{'model': '54ef3e3610'}
Backend
Original
Version
d48a13a
X values
"None,nipple.pt"
Y values
1921884653
Clipskip
2
Resources
[{'hash': '54ef3e3610', 'name': 'meinamix_meinaV11', 'type': 'model'}]
Model hash
54ef3e3610
Operations
"txt2img, hires"
Hires steps
21
Hires upscale
1.6
Fixed y values
1921884653
Hires upscaler
4x_NMKD-Siax_200k
Latent sampler
DPM++ 2M SDE Karras
Image cfg scale
6
Adetailer version
23.8.1
Denoising strength
0.25
+ \ No newline at end of file diff --git a/adetailer/nippleAdetailerModel_female.json b/adetailer/nippleAdetailerModel_female.json new file mode 100644 index 0000000000000000000000000000000000000000..89fb079ac585b9ffe0f51c044d28d11596e83698 --- /dev/null +++ b/adetailer/nippleAdetailerModel_female.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Adetailer Model to automatically Impaint Female BreastsA Adetailer model to automatically impaint nipples.Usage:Copy into your \"models/adetailer\" folderactivate adetailer extension and select the nipple modeladjust denoising and padding as neededShould work with both Anime and Realistic models but I have not had the time to test extensivly, please give feedback.", + "sd version": "SD1", + "modelId": 135658, + "sha256": "284E0EAD76DB27D411C326F7DFCDA1B4C7811F5CDE1EA600B9BAAD5FBD9E1CA2", + "unpackList": [ + "nipple.pt" + ] +} \ No newline at end of file diff --git a/adetailer/nippleAdetailerModel_female.preview.png b/adetailer/nippleAdetailerModel_female.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..80448fbffc832df1f5be72e849a88d5a98cec8d0 Binary files /dev/null and b/adetailer/nippleAdetailerModel_female.preview.png differ diff --git a/adetailer/nipples_yolov8s-seg.pt b/adetailer/nipples_yolov8s-seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..2b5d2b27a2f16d35024f1a24cfd3eb73a5662da7 --- /dev/null +++ b/adetailer/nipples_yolov8s-seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32ada96a3aad2ed0c9e900d4de047e0f63cb72ce654a3ed65baca5eaec255436 +size 23826114 diff --git a/adetailer/nsfwWatermarkDetection_v10.html b/adetailer/nsfwWatermarkDetection_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..4078d8b798c8e6377e59d49d562c4825c77fcc3d --- /dev/null +++ b/adetailer/nsfwWatermarkDetection_v10.html @@ -0,0 +1,51 @@ + + + + + + +
+

NSFW Watermark Detection - ADetailer - (nsfw_watermarks_s_yolov8)

+

Uploaded by mnemic

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2024-02-18
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/350003
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

A Yolov8 detection model that detects watermarks in images.

The model can be used as an ADetailer model (for Automatic1111 / Stable Diffusion use), or using other inference scripts to return detection bounding boxes of watermarks.

The model is trained partially on the following dataset: MFW-feoki/W6-janF, and partially with synthetic NSFW data.

A small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article.

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+ + + +
+ \ No newline at end of file diff --git a/adetailer/nsfwWatermarkDetection_v10.json b/adetailer/nsfwWatermarkDetection_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..08ca0d2bd82a4ba97683c42878d5985c9ad6ca9b --- /dev/null +++ b/adetailer/nsfwWatermarkDetection_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "A Yolov8 detection model that detects watermarks in images.The model can be used as an ADetailer https://github.com/Bing-su/adetailer model (for Automatic1111 https://github.com/AUTOMATIC1111/ / Stable Diffusion use), or using other inference scripts https://github.com/MNeMoNiCuZ/yolov8-scripts to return detection bounding boxes of watermarks.The model is trained partially on the following dataset: MFW-feoki/W6-janF https://universe.roboflow.com/mfw-feoki/w6_janf, and partially with synthetic NSFW data.A small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model.", + "sd version": "SD1", + "modelId": 311869, + "sha256": "5E7D78B3A95B022A3500DA47063218C43D6420721D4DBB21CD23377F6EF08D0B", + "unpackList": [ + "nsfw_watermarks_s_yolov8_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/nsfwWatermarkDetection_v10.preview.png b/adetailer/nsfwWatermarkDetection_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..2e93d15b720250e2ae092c8b9c4774bc59f63daa --- /dev/null +++ b/adetailer/nsfwWatermarkDetection_v10.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:adbdc72ea358b24a51c1eaddae5b9dba35c43d47d520f76c272e9ca2d0c467bd +size 2508999 diff --git a/adetailer/nsfw_watermarks_s_yolov8_v1.pt b/adetailer/nsfw_watermarks_s_yolov8_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..31273ce3f12f900aa3fef7564ce4ec8660c21cb2 --- /dev/null +++ b/adetailer/nsfw_watermarks_s_yolov8_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:78d27f0f5ea32783028cbbf4da4d3b9322619dca42c3f661d8f984d73c6ec57f +size 22519385 diff --git a/adetailer/penis.pt b/adetailer/penis.pt new file mode 100644 index 0000000000000000000000000000000000000000..441022112e0982347c487962d93c07a6178e0cf8 --- /dev/null +++ b/adetailer/penis.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b5f1bc69011845c71c8c1378c6a383d881db1972bf341367f912f637879e03a2 +size 6241198 diff --git a/adetailer/penisDetection_v10.html b/adetailer/penisDetection_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..68bbc2700fc07fc7abee51d3703d56730534ceea --- /dev/null +++ b/adetailer/penisDetection_v10.html @@ -0,0 +1,119 @@ + + + + + + +
+

Penis Detection (Adetailer/YoloV8)

+

Uploaded by MewtwoBlueShoes

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2023-12-30
+
Availability
+
Public
+
CivitAI Tags
+
+
+ animepenisfurrytooldetectionadetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/279310
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

adetailer model trained on ~1000 images of humanoid, equine, and canine penises. While it was trained on furry images it works great with anime models as well.
to use download, extract, and place in your adetailer folder

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
hi res, detailed, (by drbubblebum:1.2), solo focus, male focus, nightclub, (penis everywhere:1.2), bukkake, excessive cum, high-angle view, looking at viewer, +BREAK +(penis everywhere:1.2), (detailed penis:1.2), (canine penis:1.2), knot, cumshot, +BREAK +male, anthro, fox, black fur, red markings, short red hair, canine penis, knot, erection, kneeling, looking pleasured, looking at viewer, open mouth, cum on tongue, cum everywhere, cum covered, cum on face, cum on chest, 5 fingers, +BREAK +(detailed penis:1.2), humanoid penis, cumshot, +BREAK +(detailed penis:1.2), (equine penis:1.2), flared penis, medial ring, cumshot, big penis, +BREAK +male, anthro, fox, black fur, red markings, short red hair, canine penis, knot, erection, kneeling, looking pleasured, open mouth, cum on tongue, cum everywhere, cum covered, cum on face, cum on chest, +BREAK +(detailed penis:1.2), cumshot, (ridged penis:1.2), blue penis, (best quality, high quality:1.4), <lora:fluffyrock-quality-tags-v3.0-vpred:1>
Negative prompt
(watermark:1.2), (artist name:1.2), signature, url, awful, censored, clothes, ugly, (worst quality, low quality, normal quality:1.4), url, amputee, cub, by boring_e621_fluffyrock_v4, by bad_prompt, deformityv6, ng_deepnegative_v1_75t, by badhandv4, dfc, ubbp, updn, (female:1.2), breasts, vaginal penetration, pussy +BREAK +BREAK +BREAK +BREAK +BREAK +BREAK
Seed
448722489
Steps
20
CFG scale
7
+
+
+ + + + +
+ +
+
Prompt
nsfw, (best quality:1.5), (high quality:1.5), best illustration, presenting, official art, breasts, round hips, (adult:1.2), mature female, (futanari:1.2), brown eyes, (masterpiece), (erection:1.2), penis, testicles, solo,
Negative prompt
1girl, pussy, (vagina:1.2), sex, (vaginal penetration), cum, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (bar censor:1.2), badhandv4, ng_deepnegative_v1_75t, bad-artist-anime, bad_prompt, badv5, deformityv6, ((bad anatomy)), bad hands, lowres, text, missing fingers, worst quality, (child:1.5), (loli:1.4), condom, ((steam)), (censor), (censor bars), (watermark:1.2), artist name, (signature:1.2), twitter username,
Seed
352970883
Steps
22
CFG scale
11
+
+
+ + + +
+
+
+ + + + +
+ +
+
Prompt
(beautiful, best quality, high quality, masterpiece:1.3) 1boy:1.4, cat boy, male, solo, male focus, short hair, cat ears, nude, erection, penis, precum drip, thigh highs, arm warmers, nervous, blush
Negative prompt
(average, low quality, worst quality, awful:1.4), 1girl:1.3, female, underwear, anal, dildo, clothing, closed eyes, 2boys, badhandv4, badv5, ng_deepnegative_v1_75t, deformityv6, censored, bar censor, deformed hands, shirt, pussy, missing limbs, child, kid, bad hands, bad feet, mutilated, too many fingers, too many toes, missing leg, monochrome, black and white, clothing, large muscles, abs, dirty, grime, woman, watermark, text
Seed
965152506
Steps
30
CFG scale
7
+
+
+ + + + +
+ +
+
Prompt
hi res, detailed, (by kakhao:1.2), detailed background, savanna, pinup, +zebra, equid, white fur, black stripes, male, nose ring, muscular, equine penis, flared penis, big balls, precum, sitting, presenting penis, bedroom eyes, +(best quality, high quality:1.4), <lora:fluffyrock-quality-tags-v3.0-vpred:1>
Negative prompt
watermark, artist name, signature, url, awful, censored, clothes, ugly, (worst quality, low quality, normal quality:1.4), by boring_e621_fluffyrock_v4, by bad_prompt, deformityv6, ng_deepnegative_v1_75t, dfc, ubbp, updn
Seed
174561334
Steps
30
CFG scale
7
+ \ No newline at end of file diff --git a/adetailer/penisDetection_v10.json b/adetailer/penisDetection_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..9edecbe01fb6c5b08f8f099b891cf7816bfd483d --- /dev/null +++ b/adetailer/penisDetection_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "adetailer model trained on ~1000 images of humanoid, equine, and canine penises. While it was trained on furry images it works great with anime models as well.to use download, extract, and place in your adetailer folder", + "sd version": "SD1", + "modelId": 247561, + "sha256": "7C623CB3B6DCA2F32A8B4D51E41739E785EB94CFA81EEBDB5250A9DB087E5C42", + "unpackList": [ + "penis.pt" + ] +} \ No newline at end of file diff --git a/adetailer/penisDetection_v10.preview.png b/adetailer/penisDetection_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..7650c349f6812f64a8b7f795b96e167469fc2e44 Binary files /dev/null and b/adetailer/penisDetection_v10.preview.png differ diff --git a/adetailer/penisPussyAdetailer_penisPussy_107801.html b/adetailer/penisPussyAdetailer_penisPussy_107801.html new file mode 100644 index 0000000000000000000000000000000000000000..4694240af1452915aae3d62293739f543765c6b5 --- /dev/null +++ b/adetailer/penisPussyAdetailer_penisPussy_107801.html @@ -0,0 +1,80 @@ + + + + + + +
+

Penis + Pussy Adetailer Model

+

Uploaded by ffjggrtbjibv

+
+
+
Version
+
penisV2 (realistic+anime)
+
Base Model
+
SD 1.5
+
Published
+
2023-08-27
+
Availability
+
Public
+
CivitAI Tags
+
+
+ penisvaginatoolgenitalia +
+
+
Download Link
+
https://civitai.com/api/download/models/149639
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Adetailer Model to Automatically Impaint male and female genitalia

V2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.

The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.

Usage:

  1. Copy into your "models/adetailer" folder

  2. activate adetailer extension and select the genitalia model

  3. adjust denoising and padding as needed

Works great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocks

Limitations:

The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
2girls, (small erect penis), candid photo of metart model taking selfie in public, (small waist), sitting, (natural breasts), wide hips, blonde and redhead, nipple piercing, freckles, (cinematic lighting) , pale skin , , brunette, High Detail, tgirl, RAW format, Professional shot, toned body, (subtle smile at camera) +<lyco:microwaistV05:0.3> <lyco:tgirls_V4:0.7>
Negative prompt
(BadDream:1.2), (UnrealisticDream), SkinPerfection_NegV15, pubic hair, implants, fake breasts, (braids)
Seed
3770274188
Size
616x640
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
37
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
22
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.43
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.26
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
RAW, hires, bokeh athletic male model spreading legs on sofa, full body,(30 yo) , short hair, flaccid penis <lyco:BetterCocks2:0.6>, looking at camera
Negative prompt
(BadDream), (UnrealisticDream),
Seed
2671971369
Size
544x544
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
23
Mimic scale
7
Hires upscale
1.5
Hires upscaler
4x_NMKD-Siax_200k
Image cfg scale
6
Interpolate phi
1
Adetailer version
23.8.0
Denoising strength
0.3
Scaling startpoint
MEAN
Adetailer model 2nd
face_yolov8n.pt
Variability measure
AD
Threshold percentile
100
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Separate feature channels
True
Adetailer dilate/erode 2nd
4
Dynamic thresholding enabled
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_penisPussy_107801.json b/adetailer/penisPussyAdetailer_penisPussy_107801.json new file mode 100644 index 0000000000000000000000000000000000000000..575d9856ec3f4f9e42b0cbedf66d3d7ff97b64dc --- /dev/null +++ b/adetailer/penisPussyAdetailer_penisPussy_107801.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Adetailer Model to Automatically Impaint male and female genitaliaV2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.Usage:Copy into your \"models/adetailer\" folderactivate adetailer extension and select the genitalia modeladjust denoising and padding as neededWorks great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocksLimitations:The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.", + "sd version": "SD1", + "modelId": 132388, + "sha256": "0215E23249E82316A5786DEC9652E009F745A5C6D259F8CA5ED3CB94655E899D", + "unpackList": [ + "genitalia.pt" + ] +} \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_penisPussy_107801.preview.png b/adetailer/penisPussyAdetailer_penisPussy_107801.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..7987c8147d7c7994741478b2ed0fa04d117d5d0d Binary files /dev/null and b/adetailer/penisPussyAdetailer_penisPussy_107801.preview.png differ diff --git a/adetailer/penisPussyAdetailer_penis_108103.html b/adetailer/penisPussyAdetailer_penis_108103.html new file mode 100644 index 0000000000000000000000000000000000000000..e9fcb2e061bddf3a9973a45e92ccb80813fd42d3 --- /dev/null +++ b/adetailer/penisPussyAdetailer_penis_108103.html @@ -0,0 +1,136 @@ + + + + + + +
+

Penis + Pussy Adetailer Model

+

Uploaded by ffjggrtbjibv

+
+
+
Version
+
penis+pussy
+
Base Model
+
SD 1.5
+
Published
+
2023-08-21
+
Availability
+
Public
+
CivitAI Tags
+
+
+ penisvaginatoolgenitalia +
+
+
Download Link
+
https://civitai.com/api/download/models/145616
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Adetailer Model to Automatically Impaint male and female genitalia

V2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.

The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.

Usage:

  1. Copy into your "models/adetailer" folder

  2. activate adetailer extension and select the genitalia model

  3. adjust denoising and padding as needed

Works great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocks

Limitations:

The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
masterpiece, 3girls next to each other, a award winning photo of a beautiful Welsh model, blonde and brunette, bokeh, sharp focus, (22 yo), leg up, on top of skyscraper, ,on all fours, ass up, , perfect eyes, pale skin, , from behind, pussy,brunette, innie pussy, , , freckles, smile +<lyco:microwaistV05:0.3>, <lyco:fapp3:0.6>,
Negative prompt
(BadDream), (UnrealisticDream), dry skin, (penis:1.5), pubic hair
Seed
1825313073
Size
576x576
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
35
Hires upscale
1.65
Hires upscaler
Latent (bicubic antialiased)
Adetailer model
genitalia.pt
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.5
Adetailer mask blur
4
Adetailer model 2nd
face_yolov8n.pt
Adetailer confidence
0.3
Adetailer dilate/erode
4
Adetailer inpaint width
512
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
512
Adetailer inpaint padding
56
Adetailer dilate/erode 2nd
4
Adetailer denoising strength
0.41
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
+
+
+ + + + +
+ +
+
Prompt
masterpiece, 3girls next to each other, a award winning photo of a beautiful Welsh model, blonde and brunette, bokeh, sharp focus, (22 yo), leg up, on top of skyscraper, ,on all fours, ass up, , perfect eyes, pale skin, , from behind, pussy,brunette, innie pussy, , , freckles, smile +<lyco:microwaistV05:0.3>, <lyco:fapp3:0.6>,
Negative prompt
(BadDream), (UnrealisticDream), dry skin, (penis:1.5), pubic hair
Seed
1825313073
Size
576x576
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
35
Hires upscale
1.65
Hires upscaler
Latent (bicubic antialiased)
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.5
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
RAW, hires, bokeh athletic male model spreading legs on sofa, full body,(30 yo) , short hair, flaccid penis <lyco:BetterCocks2:0.6>, looking at camera
Negative prompt
(BadDream), (UnrealisticDream),
Seed
2671971369
Size
544x544
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
23
Mimic scale
7
Hires upscale
1.5
Hires upscaler
4x_NMKD-Siax_200k
Image cfg scale
6
Interpolate phi
1
Adetailer version
23.8.0
Denoising strength
0.3
Scaling startpoint
MEAN
Adetailer model 2nd
face_yolov8n.pt
Variability measure
AD
Threshold percentile
100
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Separate feature channels
True
Adetailer dilate/erode 2nd
4
Dynamic thresholding enabled
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
2girls, (small erect penis), candid photo of metart model taking selfie in public, (small waist), sitting, (natural breasts), wide hips, blonde and redhead, nipple piercing, freckles, (cinematic lighting) , pale skin , , brunette, High Detail, tgirl, RAW format, Professional shot, toned body, (subtle smile at camera) +<lyco:microwaistV05:0.3> <lyco:tgirls_V4:0.7>
Negative prompt
(BadDream:1.2), (UnrealisticDream), SkinPerfection_NegV15, pubic hair, implants, fake breasts, (braids)
Seed
3770274188
Size
616x640
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
37
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
22
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.43
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.26
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
RAW, hires, bokeh athletic male model spreading legs on sofa, full body,(30 yo) , short hair, small erect penis <lyco:BetterCocks2:0.6>, looking at camera
Negative prompt
(BadDream), (UnrealisticDream),
Seed
3968194789
Size
544x544
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
23
Mimic scale
7
Hires upscale
1.5
Hires upscaler
4x_NMKD-Siax_200k
Image cfg scale
6
Interpolate phi
1
Adetailer version
23.8.0
Denoising strength
0.3
Scaling startpoint
MEAN
Adetailer model 2nd
face_yolov8n.pt
Variability measure
AD
Threshold percentile
100
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Separate feature channels
True
Adetailer dilate/erode 2nd
4
Dynamic thresholding enabled
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_penis_108103.json b/adetailer/penisPussyAdetailer_penis_108103.json new file mode 100644 index 0000000000000000000000000000000000000000..8685f1b9da86eb0bb4787f531f9874221459f593 --- /dev/null +++ b/adetailer/penisPussyAdetailer_penis_108103.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Adetailer Model to Automatically Impaint male and female genitaliaV2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.Usage:Copy into your \"models/adetailer\" folderactivate adetailer extension and select the genitalia modeladjust denoising and padding as neededWorks great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocksLimitations:The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.", + "sd version": "SD1", + "modelId": 132388, + "sha256": "40D3BC6B64C8ED19EA7AC5C487EBDFF8A7A2B22DB2E1B093BE0C000CC48607BB", + "unpackList": [ + "penis.pt" + ] +} \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_penis_108103.preview.png b/adetailer/penisPussyAdetailer_penis_108103.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..a760bfafaf75f936549661875fc6fde12f03ea61 Binary files /dev/null and b/adetailer/penisPussyAdetailer_penis_108103.preview.png differ diff --git a/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.html b/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.html new file mode 100644 index 0000000000000000000000000000000000000000..c29959903aa0d7cf1497cc7e5dd8389f7e1a499c --- /dev/null +++ b/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.html @@ -0,0 +1,62 @@ + + + + + + +
+

Penis + Pussy Adetailer Model

+

Uploaded by ffjggrtbjibv

+
+
+
Version
+
pussyV2 (anime+realistic)
+
Base Model
+
SD 1.5
+
Published
+
2023-08-27
+
Availability
+
Public
+
CivitAI Tags
+
+
+ penisvaginatoolgenitalia +
+
+
Download Link
+
https://civitai.com/api/download/models/149617
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Adetailer Model to Automatically Impaint male and female genitalia

V2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.

The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.

Usage:

  1. Copy into your "models/adetailer" folder

  2. activate adetailer extension and select the genitalia model

  3. adjust denoising and padding as needed

Works great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocks

Limitations:

The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
masterpiece, 3girls next to each other, a award winning photo of a beautiful Welsh model, blonde and brunette, bokeh, sharp focus, (22 yo), leg up, on top of skyscraper, ,on all fours, ass up, , perfect eyes, pale skin, , from behind, pussy,brunette, innie pussy, , , freckles, smile +<lyco:microwaistV05:0.3>, <lyco:fapp3:0.6>,
Negative prompt
(BadDream), (UnrealisticDream), dry skin, (penis:1.5), pubic hair
Seed
1825313073
Size
576x576
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
35
Hires upscale
1.65
Hires upscaler
Latent (bicubic antialiased)
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.5
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.json b/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.json new file mode 100644 index 0000000000000000000000000000000000000000..ba2d037c8437f7485ca789046038d9f8fbc8024a --- /dev/null +++ b/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Adetailer Model to Automatically Impaint male and female genitaliaV2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.Usage:Copy into your \"models/adetailer\" folderactivate adetailer extension and select the genitalia modeladjust denoising and padding as neededWorks great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocksLimitations:The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.", + "sd version": "SD1", + "modelId": 132388, + "sha256": "95ECA4185189BC7DD8265398D955D1BF1A5F122DC78943442BE0A65D47B7D137", + "unpackList": [ + "penisV2.pt" + ] +} \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.preview.png b/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..a760bfafaf75f936549661875fc6fde12f03ea61 Binary files /dev/null and b/adetailer/penisPussyAdetailer_penisv2RealisticAnime_111245.preview.png differ diff --git a/adetailer/penisPussyAdetailer_pussy_108070.html b/adetailer/penisPussyAdetailer_pussy_108070.html new file mode 100644 index 0000000000000000000000000000000000000000..e9fcb2e061bddf3a9973a45e92ccb80813fd42d3 --- /dev/null +++ b/adetailer/penisPussyAdetailer_pussy_108070.html @@ -0,0 +1,136 @@ + + + + + + +
+

Penis + Pussy Adetailer Model

+

Uploaded by ffjggrtbjibv

+
+
+
Version
+
penis+pussy
+
Base Model
+
SD 1.5
+
Published
+
2023-08-21
+
Availability
+
Public
+
CivitAI Tags
+
+
+ penisvaginatoolgenitalia +
+
+
Download Link
+
https://civitai.com/api/download/models/145616
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Adetailer Model to Automatically Impaint male and female genitalia

V2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.

The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.

Usage:

  1. Copy into your "models/adetailer" folder

  2. activate adetailer extension and select the genitalia model

  3. adjust denoising and padding as needed

Works great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocks

Limitations:

The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
masterpiece, 3girls next to each other, a award winning photo of a beautiful Welsh model, blonde and brunette, bokeh, sharp focus, (22 yo), leg up, on top of skyscraper, ,on all fours, ass up, , perfect eyes, pale skin, , from behind, pussy,brunette, innie pussy, , , freckles, smile +<lyco:microwaistV05:0.3>, <lyco:fapp3:0.6>,
Negative prompt
(BadDream), (UnrealisticDream), dry skin, (penis:1.5), pubic hair
Seed
1825313073
Size
576x576
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
35
Hires upscale
1.65
Hires upscaler
Latent (bicubic antialiased)
Adetailer model
genitalia.pt
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.5
Adetailer mask blur
4
Adetailer model 2nd
face_yolov8n.pt
Adetailer confidence
0.3
Adetailer dilate/erode
4
Adetailer inpaint width
512
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer inpaint height
512
Adetailer inpaint padding
56
Adetailer dilate/erode 2nd
4
Adetailer denoising strength
0.41
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
Adetailer use inpaint width/height
True
+
+
+ + + + +
+ +
+
Prompt
masterpiece, 3girls next to each other, a award winning photo of a beautiful Welsh model, blonde and brunette, bokeh, sharp focus, (22 yo), leg up, on top of skyscraper, ,on all fours, ass up, , perfect eyes, pale skin, , from behind, pussy,brunette, innie pussy, , , freckles, smile +<lyco:microwaistV05:0.3>, <lyco:fapp3:0.6>,
Negative prompt
(BadDream), (UnrealisticDream), dry skin, (penis:1.5), pubic hair
Seed
1825313073
Size
576x576
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
35
Hires upscale
1.65
Hires upscaler
Latent (bicubic antialiased)
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.5
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
RAW, hires, bokeh athletic male model spreading legs on sofa, full body,(30 yo) , short hair, flaccid penis <lyco:BetterCocks2:0.6>, looking at camera
Negative prompt
(BadDream), (UnrealisticDream),
Seed
2671971369
Size
544x544
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
23
Mimic scale
7
Hires upscale
1.5
Hires upscaler
4x_NMKD-Siax_200k
Image cfg scale
6
Interpolate phi
1
Adetailer version
23.8.0
Denoising strength
0.3
Scaling startpoint
MEAN
Adetailer model 2nd
face_yolov8n.pt
Variability measure
AD
Threshold percentile
100
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Separate feature channels
True
Adetailer dilate/erode 2nd
4
Dynamic thresholding enabled
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
2girls, (small erect penis), candid photo of metart model taking selfie in public, (small waist), sitting, (natural breasts), wide hips, blonde and redhead, nipple piercing, freckles, (cinematic lighting) , pale skin , , brunette, High Detail, tgirl, RAW format, Professional shot, toned body, (subtle smile at camera) +<lyco:microwaistV05:0.3> <lyco:tgirls_V4:0.7>
Negative prompt
(BadDream:1.2), (UnrealisticDream), SkinPerfection_NegV15, pubic hair, implants, fake breasts, (braids)
Seed
3770274188
Size
616x640
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
37
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
22
Hires upscale
1.5
Hires upscaler
4x-UltraSharp
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.43
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.26
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
RAW, hires, bokeh athletic male model spreading legs on sofa, full body,(30 yo) , short hair, small erect penis <lyco:BetterCocks2:0.6>, looking at camera
Negative prompt
(BadDream), (UnrealisticDream),
Seed
3968194789
Size
544x544
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
+
+
+ + +
+
Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
23
Mimic scale
7
Hires upscale
1.5
Hires upscaler
4x_NMKD-Siax_200k
Image cfg scale
6
Interpolate phi
1
Adetailer version
23.8.0
Denoising strength
0.3
Scaling startpoint
MEAN
Adetailer model 2nd
face_yolov8n.pt
Variability measure
AD
Threshold percentile
100
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Separate feature channels
True
Adetailer dilate/erode 2nd
4
Dynamic thresholding enabled
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_pussy_108070.json b/adetailer/penisPussyAdetailer_pussy_108070.json new file mode 100644 index 0000000000000000000000000000000000000000..6130869d2539c8897625016aac2ed9eaefbfb24c --- /dev/null +++ b/adetailer/penisPussyAdetailer_pussy_108070.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Adetailer Model to Automatically Impaint male and female genitaliaV2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.Usage:Copy into your \"models/adetailer\" folderactivate adetailer extension and select the genitalia modeladjust denoising and padding as neededWorks great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocksLimitations:The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.", + "sd version": "SD1", + "modelId": 132388, + "sha256": "D98BB442AFAD57F525F2727CDE626C0CC8CDE4DD0B0D9ADBA68912E160109482", + "unpackList": [ + "pussy.pt" + ] +} \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_pussy_108070.preview.png b/adetailer/penisPussyAdetailer_pussy_108070.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..d24ea05f1d2c66f91dc26f1362901c4616d69692 Binary files /dev/null and b/adetailer/penisPussyAdetailer_pussy_108070.preview.png differ diff --git a/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.html b/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.html new file mode 100644 index 0000000000000000000000000000000000000000..c29959903aa0d7cf1497cc7e5dd8389f7e1a499c --- /dev/null +++ b/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.html @@ -0,0 +1,62 @@ + + + + + + +
+

Penis + Pussy Adetailer Model

+

Uploaded by ffjggrtbjibv

+
+
+
Version
+
pussyV2 (anime+realistic)
+
Base Model
+
SD 1.5
+
Published
+
2023-08-27
+
Availability
+
Public
+
CivitAI Tags
+
+
+ penisvaginatoolgenitalia +
+
+
Download Link
+
https://civitai.com/api/download/models/149617
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Adetailer Model to Automatically Impaint male and female genitalia

V2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.

The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.

Usage:

  1. Copy into your "models/adetailer" folder

  2. activate adetailer extension and select the genitalia model

  3. adjust denoising and padding as needed

Works great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocks

Limitations:

The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
masterpiece, 3girls next to each other, a award winning photo of a beautiful Welsh model, blonde and brunette, bokeh, sharp focus, (22 yo), leg up, on top of skyscraper, ,on all fours, ass up, , perfect eyes, pale skin, , from behind, pussy,brunette, innie pussy, , , freckles, smile +<lyco:microwaistV05:0.3>, <lyco:fapp3:0.6>,
Negative prompt
(BadDream), (UnrealisticDream), dry skin, (penis:1.5), pubic hair
Seed
1825313073
Size
576x576
Model
epicrealism_pureEvolutionV5
Sampler
DPM++ 2M SDE Karras
Steps
36
CFG scale
5.5
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Parser
Full parser
Script
X/Y/Z grid
X type
[ADetailer] ADetailer model 1st
Hashes
{'model': '76be5be1b2'}
Backend
Original
Version
1666ee6
X values
"None,genitalia.pt"
Resources
[{'hash': '76be5be1b2', 'name': 'epicrealism_pureEvolutionV5', 'type': 'model'}]
Model hash
76be5be1b2
Operations
"txt2img, hires"
Hires steps
35
Hires upscale
1.65
Hires upscaler
Latent (bicubic antialiased)
Image cfg scale
6
Adetailer version
23.8.0
Denoising strength
0.5
Adetailer model 2nd
face_yolov8n.pt
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.3
Adetailer dilate/erode 2nd
4
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.json b/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.json new file mode 100644 index 0000000000000000000000000000000000000000..cb69e03f4517f52a14e1160d4d58691f50b4fdfa --- /dev/null +++ b/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Adetailer Model to Automatically Impaint male and female genitaliaV2 Models should work with anime and realistic models, please give feedback as I don't have any time to test.The Quality of male and female genitalia suffers if it only takes up a small portion of the image. This model allows you to automatically mask and impaint genitalia using the Adetailer extension.Usage:Copy into your \"models/adetailer\" folderactivate adetailer extension and select the genitalia modeladjust denoising and padding as neededWorks great in combination with my Bettercocks/Tgirl and FAPP Loras, but any other genitalia Lora like Godpussy can be used. However the benefit seems to be bigger for cocksLimitations:The old models (penis , pussy, penis+ pussy) were only trained on photorealistic images and won't work well with anime models.", + "sd version": "SD1", + "modelId": 132388, + "sha256": "85DE9B30F21AABFF6FB88D40F734C97251AA7B5AA301CF4D4B3A05F7FA847FCB", + "unpackList": [ + "pussyV2.pt" + ] +} \ No newline at end of file diff --git a/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.preview.png b/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..d24ea05f1d2c66f91dc26f1362901c4616d69692 Binary files /dev/null and b/adetailer/penisPussyAdetailer_pussyv2AnimeRealistic.preview.png differ diff --git a/adetailer/penisV2.pt b/adetailer/penisV2.pt new file mode 100644 index 0000000000000000000000000000000000000000..2b72090d63f8ec474afcd4c3431e1a7a763cc7be --- /dev/null +++ b/adetailer/penisV2.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01646ccd8b98be86181dcf8c08296b7fd0bc2d17d87395f55bea3dd5544a1253 +size 6211374 diff --git a/adetailer/person_yolov8m-seg.pt b/adetailer/person_yolov8m-seg.pt new file mode 100644 index 0000000000000000000000000000000000000000..7b072e035e0c72e7b62767f4ba6d53be332da820 --- /dev/null +++ b/adetailer/person_yolov8m-seg.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8ab26f517173b1fe8342d336a09f443eb61cb08dcbfc78d53fff4c2547ae81e +size 54827683 diff --git a/adetailer/phone_v01.pt b/adetailer/phone_v01.pt new file mode 100644 index 0000000000000000000000000000000000000000..30f8a9e8c0352ff1a20f84fdd410e1e733f45000 --- /dev/null +++ b/adetailer/phone_v01.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c69b2060fcbd530665cc20be3f95dee4762359d71906e5599e6816c7bc30ccf1 +size 6328174 diff --git a/adetailer/pussy.pt b/adetailer/pussy.pt new file mode 100644 index 0000000000000000000000000000000000000000..6c885b229320bd28cec3ece88038efccd1544581 --- /dev/null +++ b/adetailer/pussy.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:431f9bb029ca8a06905054cd56659268e165b6f98651fd651fd23d4dc4408a88 +size 6241198 diff --git a/adetailer/pussyAdetailer_v40.html b/adetailer/pussyAdetailer_v40.html new file mode 100644 index 0000000000000000000000000000000000000000..f820170d10cff24e23b0088488cbbc1c81aac7b8 --- /dev/null +++ b/adetailer/pussyAdetailer_v40.html @@ -0,0 +1,142 @@ + + + + + + +
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Pussy Adetailer

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Uploaded by FoobarNanashi

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Version
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v4.0
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Base Model
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Other
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Published
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2024-09-23
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Availability
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Public
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CivitAI Tags
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Download Link
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https://civitai.com/api/download/models/882954
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Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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Description

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V4.0

自分用に作り直しました。画像はモザイクですが、処理対象は無修正の陰部です。

  • データセットを新しくし、横向きなどの素材を混ぜて再学習しました。

  • 相変わらずクオリティには自信がありません。ご容赦ください。

  • 通常はv3.0を使用し、上手く検出しない場合にv4.0のlastやbestを使用してください。

  • 上手く検出しない場合はDetectionオプションの「Detection model confidence threshold」の値を低くし、「Mask only the top k largest (0 to disable)」の値をPussyと同じ数にしてください（例：1girlなら値を1にする等）

  • 私はPonyモデルで動作を確認しましたが、SD1.5やAnimagineなどでも使用できると思います。

I re-created it for my own use.

The image is a mosaic, but the object of treatment is an uncensored pussy.

  • The data set is new and has been relearned with a mixture of materials such as horizontal orientation.

  • As usual, we are not confident in the quality. Please forgive me.

  • Normally, use v3.0, and if it does not detect well, use v4.0 last or best.

  • If it does not detect well, lower the value of “Detection model confidence threshold” in the Detection option and set the value of “Mask only the top k largest (0 to disable)” to the same number as Pussy (e.g., 1 for For girl, set the value to 1, etc.)

  • Confirmed that it works with the Pony model, but I believe it can also be used with SD1.5, Animagine, etc.

    *** Translated with www.DeepL.com/Translator (free version) ***

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

UltralitycsのYOLOv8モデルでアニメ絵をベースに、初心者が見様見真似で作ったので精度は期待しないでください。

使い方

  1. 「stable-diffusion-webui\models\adetailer」に2つのptファイルを置く

  2. WebUIをリロード。AdetailerタブのADetailer modelにモデルが増えてると思います。

通常はpussy_best_v3.pt を使ってください。pussy_last_v3.pt は誤検出の可能性がありますが、うまく検出できないときに使ってみてください。

モデルによっては相性が悪いかも。

This is a machine translation.

I made this haphazardly by imitating without much experience, so please don't expect high accuracy.

How To use

  1. Place the pt file in "stable-diffusion-webui\models\adetailer"

  2. and reload WebUI.

There are pussy_best_v3.pt and pussy_last_v3.pt, but usually use best. last may cause false positives.

I have not tried it on a real model, so I don't know if it will work.

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Prompt
<人物:0> +<表情:0> white background, isolated island white background, +<服装:0> completely nude,, +<局部:0> (gaping, extreme gaping, spread pussy:1.2), +<身体:0> +<背景:0> +<構図:0> (cowboy shot, standing:1.2), (pussy juice, ejaculation, female ejaculation, :1.4), peeing, +<効果:0> +<基礎:0> 1girl, score_9, score_8_up, source_anime, rating_explicit, (hyperrealistic:0.8), (masterpiece, best quality, ultra detailed:1.2)
Negative prompt
<基礎・絵柄:0> score_7_up, score_6_up, score_4, score_5, score_6, source_comic, source_furry, source_pony, source_cartoon, 3D, sketch, painting, monochrome, jpeg artifacts, extra digit, fewer digits, low quality, +<基礎・身体:0> bad anatomy, bad proportions, extra legs, deformed anatomy, messy color, deformed fingers, bad, distracted, lips, child, toddler, muscular, muscular female, furry, young, childish face, big belly, large belly, huge belly, text, +<基礎・効果:0> censored, words, speach bubbles, (plump, curvy:1.2), +<調整:0> x-ray, cross-section,
Seed
2800872273
Size
1000x1200
Model
autismmixSDXL_autismmixPony
Sampler
Euler a
Steps
15
CFG scale
6.5
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '821aa5537f'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Freeu_b1
1.01
Freeu_b2
1.02
Freeu_s1
0.99
Freeu_s2
0.95
Resources
[{'hash': '821aa5537f', 'name': 'autismmixSDXL_autismmixPony', 'type': 'model'}]
Model hash
821aa5537f
Freeu_enabled
True
Adetailer model
pussy-v4last.pt
Adetailer version
24.3.5
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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Prompt
score_9,score_7_up, score_8_up, white background, 1girl, completely nude, pussy, spread legs, spread pussy, pussy gaping,
Negative prompt
lowres, extra digit, fewer digits, worst quality, low quality
Seed
3074018266
Size
1024x1400
Model
hassakuXLHentai_v13
Sampler
Euler a
Steps
20
CFG scale
6
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '4f302f0c92'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Resources
[{'hash': '4f302f0c92', 'name': 'hassakuXLHentai_v13', 'type': 'model'}]
Model hash
4f302f0c92
Adetailer model
pussy_v4_last.pt
Adetailer version
24.3.5
Adetailer mask blur
11
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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Prompt
score_9,score_7_up, score_8_up, white background, 1girl, pussy, monochrome, comic, manga, gaping, extreme gaping, spread pussy,
Negative prompt
lowres, extra digit, fewer digits, worst quality, low quality
Seed
3074018266
Size
1024x1400
Model
autismmixSDXL_autismmixPony
Sampler
Euler a
Steps
20
CFG scale
6
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '821aa5537f'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Resources
[{'hash': '821aa5537f', 'name': 'autismmixSDXL_autismmixPony', 'type': 'model'}]
Model hash
821aa5537f
Adetailer model
pussy_v4_last.pt
Adetailer version
24.3.5
Adetailer mask blur
11
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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Prompt
score_9,score_7_up, score_8_up, white background, 1girl, pussy, (from below:1.2)
Negative prompt
lowres, extra digit, fewer digits, worst quality, low quality
Seed
2454797134
Size
1024x1400
Model
autismmixSDXL_autismmixPony
Sampler
Euler a
Steps
20
CFG scale
6
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '821aa5537f'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Resources
[{'hash': '821aa5537f', 'name': 'autismmixSDXL_autismmixPony', 'type': 'model'}]
Model hash
821aa5537f
Adetailer model
pussy_v4_last.pt
Adetailer version
24.3.5
Adetailer mask blur
11
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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+ \ No newline at end of file diff --git a/adetailer/pussyAdetailer_v40.json b/adetailer/pussyAdetailer_v40.json new file mode 100644 index 0000000000000000000000000000000000000000..18db77953e632e11c17462c5bbacd92028df8ff2 --- /dev/null +++ b/adetailer/pussyAdetailer_v40.json @@ -0,0 +1,13 @@ +{ + "activation text": "", + "description": "V4.0\u81ea\u5206\u7528\u306b\u4f5c\u308a\u76f4\u3057\u307e\u3057\u305f\u3002\u753b\u50cf\u306f\u30e2\u30b6\u30a4\u30af\u3067\u3059\u304c\u3001\u51e6\u7406\u5bfe\u8c61\u306f\u7121\u4fee\u6b63\u306e\u9670\u90e8\u3067\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u65b0\u3057\u304f\u3057\u3001\u6a2a\u5411\u304d\u306a\u3069\u306e\u7d20\u6750\u3092\u6df7\u305c\u3066\u518d\u5b66\u7fd2\u3057\u307e\u3057\u305f\u3002\u76f8\u5909\u308f\u3089\u305a\u30af\u30aa\u30ea\u30c6\u30a3\u306b\u306f\u81ea\u4fe1\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u3054\u5bb9\u8d66\u304f\u3060\u3055\u3044\u3002\u901a\u5e38\u306fv3.0\u3092\u4f7f\u7528\u3057\u3001\u4e0a\u624b\u304f\u691c\u51fa\u3057\u306a\u3044\u5834\u5408\u306bv4.0\u306elast\u3084best\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u4e0a\u624b\u304f\u691c\u51fa\u3057\u306a\u3044\u5834\u5408\u306fDetection\u30aa\u30d7\u30b7\u30e7\u30f3\u306e\u300cDetection model confidence threshold\u300d\u306e\u5024\u3092\u4f4e\u304f\u3057\u3001\u300cMask only the top k largest (0 to disable)\u300d\u306e\u5024\u3092Pussy\u3068\u540c\u3058\u6570\u306b\u3057\u3066\u304f\u3060\u3055\u3044\uff08\u4f8b\uff1a1girl\u306a\u3089\u5024\u30921\u306b\u3059\u308b\u7b49\uff09\u79c1\u306fPony\u30e2\u30c7\u30eb\u3067\u52d5\u4f5c\u3092\u78ba\u8a8d\u3057\u307e\u3057\u305f\u304c\u3001SD1.5\u3084Animagine\u306a\u3069\u3067\u3082\u4f7f\u7528\u3067\u304d\u308b\u3068\u601d\u3044\u307e\u3059\u3002I re-created it for my own use.The image is a mosaic, but the object of treatment is an uncensored pussy.The data set is new and has been relearned with a mixture of materials such as horizontal orientation.As usual, we are not confident in the quality. Please forgive me.Normally, use v3.0, and if it does not detect well, use v4.0 last or best.If it does not detect well, lower the value of \u201cDetection model confidence threshold\u201d in the Detection option and set the value of \u201cMask only the top k largest (0 to disable)\u201d to the same number as Pussy (e.g., 1 for For girl, set the value to 1, etc.)Confirmed that it works with the Pony model, but I believe it can also be used with SD1.5, Animagine, etc.*** Translated with www.DeepL.com/Translator http://www.DeepL.com/Translator (free version) ***\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501Ultralitycs\u306eYOLOv8\u30e2\u30c7\u30eb\u3067\u30a2\u30cb\u30e1\u7d75\u3092\u30d9\u30fc\u30b9\u306b\u3001\u521d\u5fc3\u8005\u304c\u898b\u69d8\u898b\u771f\u4f3c\u3067\u4f5c\u3063\u305f\u306e\u3067\u7cbe\u5ea6\u306f\u671f\u5f85\u3057\u306a\u3044\u3067\u304f\u3060\u3055\u3044\u3002\u4f7f\u3044\u65b9\u300cstable-diffusion-webui\\models\\adetailer\u300d\u306b2\u3064\u306ept\u30d5\u30a1\u30a4\u30eb\u3092\u7f6e\u304fWebUI\u3092\u30ea\u30ed\u30fc\u30c9\u3002Adetailer\u30bf\u30d6\u306eADetailer model\u306b\u30e2\u30c7\u30eb\u304c\u5897\u3048\u3066\u308b\u3068\u601d\u3044\u307e\u3059\u3002\u901a\u5e38\u306fpussy_best_v3.pt http://v3.pt \u3092\u4f7f\u3063\u3066\u304f\u3060\u3055\u3044\u3002pussy_last_v3.pt http://v3.pt \u306f\u8aa4\u691c\u51fa\u306e\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u3046\u307e\u304f\u691c\u51fa\u3067\u304d\u306a\u3044\u3068\u304d\u306b\u4f7f\u3063\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002\u30e2\u30c7\u30eb\u306b\u3088\u3063\u3066\u306f\u76f8\u6027\u304c\u60aa\u3044\u304b\u3082\u3002This is a machine translation.I made this haphazardly by imitating without much experience, so please don't expect high accuracy.How To usePlace the pt file in \"stable-diffusion-webui\\models\\adetailer\"and reload WebUI.There are pussy_best_v3.pt http://v3.pt and pussy_last_v3.pt http://v3.pt, but usually use best. last may cause false positives.I have not tried it on a real model, so I don't know if it will work.", + "sd version": "Other", + "modelId": 150234, + "sha256": "BB088D99A772BF6A11CEF8CF4027423A885D6CBB9753B0EDA86D7D4473548899", + "unpackList": [ + "Models/", + "Models/adetailer/", + "Models/adetailer/pussy_v4_best.pt", + "Models/adetailer/pussy_v4_last.pt" + ] +} \ No newline at end of file diff --git a/adetailer/pussyAdetailer_v40.preview.png b/adetailer/pussyAdetailer_v40.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..2ccf7f4453aa86794ac15ab2bcd3f0b034f4879a Binary files /dev/null and b/adetailer/pussyAdetailer_v40.preview.png differ diff --git a/adetailer/pussyAdetailer_v5SegBboxYolo11s.html b/adetailer/pussyAdetailer_v5SegBboxYolo11s.html new file mode 100644 index 0000000000000000000000000000000000000000..a74951ab459728df6aa3934be01bbb08b36067f4 --- /dev/null +++ b/adetailer/pussyAdetailer_v5SegBboxYolo11s.html @@ -0,0 +1,142 @@ + + + + + + +
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Pussy Adetailer

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Uploaded by FoobarNanashi

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Version
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v4.0
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Base Model
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Other
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Published
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2024-09-23
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Availability
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Public
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CivitAI Tags
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Download Link
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https://civitai.com/api/download/models/882954
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Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

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Description

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初心者が見様見真似で作ったので精度は期待しないでください。

使い方

  1. 「stable-diffusion-webui\models\adetailer」に2つのptファイルを置く

  2. WebUIをリロード。AdetailerタブのADetailer modelにモデルが増えてると思います。

Please do not expect accuracy as it was made by a novice.

How to use

  1. Put the two pt files in ‘stable-diffusion-webui\models\adetailer’.

  2. Reload WebUI and you will see more models in the ADetailer model in the Adetailer tab.

This is a machine translation.

V5

ForgeのAdetailerでの動作を確認しています。comfyuiは申し訳ありませんが確認しておりません。

学習素材はv3・v4（旧作）をベースに、AI生成画像を追加した合計700枚程度のデータセットとなっております。

ただ旧作ではアノテーションにlabelImgを使用していましたが、v5ではlabelmeを使用してポリゴンでのアノテーションを行っています。割と雑にアノテーションしたかもしれません。

多分旧作より精度は高いですが、検出範囲が細かくなっていますので、旧作のような大き目の検出範囲が欲しい方は、Adetailerの機能を使って範囲を広げるか、旧作を使用してください。また、この画像が検出しない！などありましたら、Pnginfoを添えて画像をここにポストしていただければ、次回その情報を基にデータセットを作成するように心がけます。

作者はAI知識がほぼないド三流です。よってパラメータやアノテーションも正しいか分かりません（言い訳）

「使えたら儲けもの」の精神で使っていただけるとありがたいです。

We have confirmed that it works with Forge's Adetailer; sorry, we have not checked comfyui.

The training material is based on v3 and v4 (old work), with AI-generated images added, for a total data set of about 700 images.

However, the old work used labelImg for annotation, while v5 uses labelme to annotate with polygons. The annotation may have been rather crude.

It is probably more accurate than the old one, but the detection range is finer, so if you want a larger detection range like the old one, use the Adetailer function to widen the range or use the old one.Also, this image does not detect!Please post your images here with Pnginfo and we will try to create a dataset based on that information next time.

The author is a third-rate person with almost no AI knowledge. Therefore, I do not know if the parameters and annotations are correct.

I would be grateful if you could use it in the spirit of ‘Lucky if you can use it’.

*** Translated with www.DeepL.com/Translator (free version) ***

V4

自分用に作り直しました。

  • データセットを新しくし、横向きなどの素材を混ぜて再学習しました。

  • 相変わらずクオリティには自信がありません。ご容赦ください。

  • 通常はv3.0を使用し、上手く検出しない場合にv4.0のlastやbestを使用してください。

  • 上手く検出しない場合はDetectionオプションの「Detection model confidence threshold」の値を低くし、「Mask only the top k largest (0 to disable)」の値をPussyと同じ数にしてください（例：1girlなら値を1にする等）

  • 私はPonyモデルで動作を確認しましたが、SD1.5やAnimagineなどでも使用できると思います。

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

I re-created it for my own use.

  • The data set is new and has been relearned with a mixture of materials such as horizontal orientation.

  • As usual, we are not confident in the quality. Please forgive me.

  • Normally, use v3.0, and if it does not detect well, use v4.0 last or best.

  • If it does not detect well, lower the value of “Detection model confidence threshold” in the Detection option and set the value of “Mask only the top k largest (0 to disable)” to the same number as Pussy (e.g., 1 for For girl, set the value to 1, etc.)

  • Confirmed that it works with the Pony model, but I believe it can also be used with SD1.5, Animagine, etc.

    *** Translated with www.DeepL.com/Translator (free version) ***

V3

UltralitycsのYOLOv8モデルでアニメ絵をベースに、初心者が見様見真似で作ったので精度は期待しないでください。通常はpussy_best_v3.pt を使ってください。pussy_last_v3.pt は誤検出の可能性がありますが、うまく検出できないときに使ってみてください。

モデルによっては相性が悪いかも。

This is a machine translation.

I made this haphazardly by imitating without much experience, so please don't expect high accuracy.There are pussy_best_v3.pt and pussy_last_v3.pt, but usually use best. last may cause false positives.

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Prompt
<人物:0> +<表情:0> white background, isolated island white background, +<服装:0> completely nude,, +<局部:0> (gaping, extreme gaping, spread pussy:1.2), +<身体:0> +<背景:0> +<構図:0> (cowboy shot, standing:1.2), (pussy juice, ejaculation, female ejaculation, :1.4), peeing, +<効果:0> +<基礎:0> 1girl, score_9, score_8_up, source_anime, rating_explicit, (hyperrealistic:0.8), (masterpiece, best quality, ultra detailed:1.2)
Negative prompt
<基礎・絵柄:0> score_7_up, score_6_up, score_4, score_5, score_6, source_comic, source_furry, source_pony, source_cartoon, 3D, sketch, painting, monochrome, jpeg artifacts, extra digit, fewer digits, low quality, +<基礎・身体:0> bad anatomy, bad proportions, extra legs, deformed anatomy, messy color, deformed fingers, bad, distracted, lips, child, toddler, muscular, muscular female, furry, young, childish face, big belly, large belly, huge belly, text, +<基礎・効果:0> censored, words, speach bubbles, (plump, curvy:1.2), +<調整:0> x-ray, cross-section,
Seed
2800872273
Size
1000x1200
Model
autismmixSDXL_autismmixPony
Sampler
Euler a
Steps
15
CFG scale
6.5
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '821aa5537f'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Freeu_b1
1.01
Freeu_b2
1.02
Freeu_s1
0.99
Freeu_s2
0.95
Resources
[{'hash': '821aa5537f', 'name': 'autismmixSDXL_autismmixPony', 'type': 'model'}]
Model hash
821aa5537f
Freeu_enabled
True
Adetailer model
pussy-v4last.pt
Adetailer version
24.3.5
Adetailer mask blur
4
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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Prompt
score_9,score_7_up, score_8_up, white background, 1girl, completely nude, pussy, spread legs, spread pussy, pussy gaping,
Negative prompt
lowres, extra digit, fewer digits, worst quality, low quality
Seed
3074018266
Size
1024x1400
Model
hassakuXLHentai_v13
Sampler
Euler a
Steps
20
CFG scale
6
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '4f302f0c92'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Resources
[{'hash': '4f302f0c92', 'name': 'hassakuXLHentai_v13', 'type': 'model'}]
Model hash
4f302f0c92
Adetailer model
pussy_v4_last.pt
Adetailer version
24.3.5
Adetailer mask blur
11
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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Prompt
score_9,score_7_up, score_8_up, white background, 1girl, pussy, monochrome, comic, manga, gaping, extreme gaping, spread pussy,
Negative prompt
lowres, extra digit, fewer digits, worst quality, low quality
Seed
3074018266
Size
1024x1400
Model
autismmixSDXL_autismmixPony
Sampler
Euler a
Steps
20
CFG scale
6
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '821aa5537f'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Resources
[{'hash': '821aa5537f', 'name': 'autismmixSDXL_autismmixPony', 'type': 'model'}]
Model hash
821aa5537f
Adetailer model
pussy_v4_last.pt
Adetailer version
24.3.5
Adetailer mask blur
11
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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Prompt
score_9,score_7_up, score_8_up, white background, 1girl, pussy, (from below:1.2)
Negative prompt
lowres, extra digit, fewer digits, worst quality, low quality
Seed
2454797134
Size
1024x1400
Model
autismmixSDXL_autismmixPony
Sampler
Euler a
Steps
20
CFG scale
6
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Vae
sdxl_vae.safetensors
Hashes
{'vae': '235745af8d', 'model': '821aa5537f'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Resources
[{'hash': '821aa5537f', 'name': 'autismmixSDXL_autismmixPony', 'type': 'model'}]
Model hash
821aa5537f
Adetailer model
pussy_v4_last.pt
Adetailer version
24.3.5
Adetailer mask blur
11
Kohya_hrfix_enabled
True
Adetailer confidence
0.3
Adetailer dilate erode
4
Kohya_hrfix_end_percent
0.35
Kohya_hrfix_block_number
3
Adetailer inpaint padding
32
Kohya_hrfix_start_percent
0
Kohya_hrfix_upscale_method
bicubic
Adetailer denoising strength
0.4
Kohya_hrfix_downscale_factor
2
Kohya_hrfix_downscale_method
bicubic
Adetailer inpaint only masked
True
Kohya_hrfix_downscale_after_skip
True
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+ \ No newline at end of file diff --git a/adetailer/pussyAdetailer_v5SegBboxYolo11s.json b/adetailer/pussyAdetailer_v5SegBboxYolo11s.json new file mode 100644 index 0000000000000000000000000000000000000000..617c97f959a79a9c0f4428ef01a5c28a9e470448 --- /dev/null +++ b/adetailer/pussyAdetailer_v5SegBboxYolo11s.json @@ -0,0 +1,16 @@ +{ + "activation text": "", + "description": "\u521d\u5fc3\u8005\u304c\u898b\u69d8\u898b\u771f\u4f3c\u3067\u4f5c\u3063\u305f\u306e\u3067\u7cbe\u5ea6\u306f\u671f\u5f85\u3057\u306a\u3044\u3067\u304f\u3060\u3055\u3044\u3002\u4f7f\u3044\u65b9\u300cstable-diffusion-webui\\models\\adetailer\u300d\u306b2\u3064\u306ept\u30d5\u30a1\u30a4\u30eb\u3092\u7f6e\u304fWebUI\u3092\u30ea\u30ed\u30fc\u30c9\u3002Adetailer\u30bf\u30d6\u306eADetailer model\u306b\u30e2\u30c7\u30eb\u304c\u5897\u3048\u3066\u308b\u3068\u601d\u3044\u307e\u3059\u3002Please do not expect accuracy as it was made by a novice.How to usePut the two pt files in \u2018stable-diffusion-webui\\models\\adetailer\u2019.Reload WebUI and you will see more models in the ADetailer model in the Adetailer tab.This is a machine translation.V5Forge\u306eAdetailer\u3067\u306e\u52d5\u4f5c\u3092\u78ba\u8a8d\u3057\u3066\u3044\u307e\u3059\u3002comfyui\u306f\u7533\u3057\u8a33\u3042\u308a\u307e\u305b\u3093\u304c\u78ba\u8a8d\u3057\u3066\u304a\u308a\u307e\u305b\u3093\u3002\u5b66\u7fd2\u7d20\u6750\u306fv3\u30fbv4\uff08\u65e7\u4f5c\uff09\u3092\u30d9\u30fc\u30b9\u306b\u3001AI\u751f\u6210\u753b\u50cf\u3092\u8ffd\u52a0\u3057\u305f\u5408\u8a08700\u679a\u7a0b\u5ea6\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3059\u3002\u305f\u3060\u65e7\u4f5c\u3067\u306f\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u306blabelImg\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3057\u305f\u304c\u3001v5\u3067\u306flabelme\u3092\u4f7f\u7528\u3057\u3066\u30dd\u30ea\u30b4\u30f3\u3067\u306e\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u5272\u3068\u96d1\u306b\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u3057\u305f\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u591a\u5206\u65e7\u4f5c\u3088\u308a\u7cbe\u5ea6\u306f\u9ad8\u3044\u3067\u3059\u304c\u3001\u691c\u51fa\u7bc4\u56f2\u304c\u7d30\u304b\u304f\u306a\u3063\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u65e7\u4f5c\u306e\u3088\u3046\u306a\u5927\u304d\u76ee\u306e\u691c\u51fa\u7bc4\u56f2\u304c\u6b32\u3057\u3044\u65b9\u306f\u3001Adetailer\u306e\u6a5f\u80fd\u3092\u4f7f\u3063\u3066\u7bc4\u56f2\u3092\u5e83\u3052\u308b\u304b\u3001\u65e7\u4f5c\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u307e\u305f\u3001\u3053\u306e\u753b\u50cf\u304c\u691c\u51fa\u3057\u306a\u3044\uff01\u306a\u3069\u3042\u308a\u307e\u3057\u305f\u3089\u3001Pnginfo\u3092\u6dfb\u3048\u3066\u753b\u50cf\u3092\u3053\u3053\u306b\u30dd\u30b9\u30c8\u3057\u3066\u3044\u305f\u3060\u3051\u308c\u3070\u3001\u6b21\u56de\u305d\u306e\u60c5\u5831\u3092\u57fa\u306b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u3088\u3046\u306b\u5fc3\u304c\u3051\u307e\u3059\u3002\u4f5c\u8005\u306fAI\u77e5\u8b58\u304c\u307b\u307c\u306a\u3044\u30c9\u4e09\u6d41\u3067\u3059\u3002\u3088\u3063\u3066\u30d1\u30e9\u30e1\u30fc\u30bf\u3084\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u3082\u6b63\u3057\u3044\u304b\u5206\u304b\u308a\u307e\u305b\u3093\uff08\u8a00\u3044\u8a33\uff09\u300c\u4f7f\u3048\u305f\u3089\u5132\u3051\u3082\u306e\u300d\u306e\u7cbe\u795e\u3067\u4f7f\u3063\u3066\u3044\u305f\u3060\u3051\u308b\u3068\u3042\u308a\u304c\u305f\u3044\u3067\u3059\u3002We have confirmed that it works with Forge's Adetailer; sorry, we have not checked comfyui.The training material is based on v3 and v4 (old work), with AI-generated images added, for a total data set of about 700 images.However, the old work used labelImg for annotation, while v5 uses labelme to annotate with polygons. The annotation may have been rather crude.It is probably more accurate than the old one, but the detection range is finer, so if you want a larger detection range like the old one, use the Adetailer function to widen the range or use the old one.Also, this image does not detect!Please post your images here with Pnginfo and we will try to create a dataset based on that information next time.The author is a third-rate person with almost no AI knowledge. Therefore, I do not know if the parameters and annotations are correct.I would be grateful if you could use it in the spirit of \u2018Lucky if you can use it\u2019.*** Translated with www.DeepL.com/Translator http://www.DeepL.com/Translator (free version) ***V4\u81ea\u5206\u7528\u306b\u4f5c\u308a\u76f4\u3057\u307e\u3057\u305f\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u65b0\u3057\u304f\u3057\u3001\u6a2a\u5411\u304d\u306a\u3069\u306e\u7d20\u6750\u3092\u6df7\u305c\u3066\u518d\u5b66\u7fd2\u3057\u307e\u3057\u305f\u3002\u76f8\u5909\u308f\u3089\u305a\u30af\u30aa\u30ea\u30c6\u30a3\u306b\u306f\u81ea\u4fe1\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u3054\u5bb9\u8d66\u304f\u3060\u3055\u3044\u3002\u901a\u5e38\u306fv3.0\u3092\u4f7f\u7528\u3057\u3001\u4e0a\u624b\u304f\u691c\u51fa\u3057\u306a\u3044\u5834\u5408\u306bv4.0\u306elast\u3084best\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u4e0a\u624b\u304f\u691c\u51fa\u3057\u306a\u3044\u5834\u5408\u306fDetection\u30aa\u30d7\u30b7\u30e7\u30f3\u306e\u300cDetection model confidence threshold\u300d\u306e\u5024\u3092\u4f4e\u304f\u3057\u3001\u300cMask only the top k largest (0 to disable)\u300d\u306e\u5024\u3092Pussy\u3068\u540c\u3058\u6570\u306b\u3057\u3066\u304f\u3060\u3055\u3044\uff08\u4f8b\uff1a1girl\u306a\u3089\u5024\u30921\u306b\u3059\u308b\u7b49\uff09\u79c1\u306fPony\u30e2\u30c7\u30eb\u3067\u52d5\u4f5c\u3092\u78ba\u8a8d\u3057\u307e\u3057\u305f\u304c\u3001SD1.5\u3084Animagine\u306a\u3069\u3067\u3082\u4f7f\u7528\u3067\u304d\u308b\u3068\u601d\u3044\u307e\u3059\u3002\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501I re-created it for my own use.The data set is new and has been relearned with a mixture of materials such as horizontal orientation.As usual, we are not confident in the quality. Please forgive me.Normally, use v3.0, and if it does not detect well, use v4.0 last or best.If it does not detect well, lower the value of \u201cDetection model confidence threshold\u201d in the Detection option and set the value of \u201cMask only the top k largest (0 to disable)\u201d to the same number as Pussy (e.g., 1 for For girl, set the value to 1, etc.)Confirmed that it works with the Pony model, but I believe it can also be used with SD1.5, Animagine, etc.*** Translated with www.DeepL.com/Translator http://www.DeepL.com/Translator (free version) ***V3Ultralitycs\u306eYOLOv8\u30e2\u30c7\u30eb\u3067\u30a2\u30cb\u30e1\u7d75\u3092\u30d9\u30fc\u30b9\u306b\u3001\u521d\u5fc3\u8005\u304c\u898b\u69d8\u898b\u771f\u4f3c\u3067\u4f5c\u3063\u305f\u306e\u3067\u7cbe\u5ea6\u306f\u671f\u5f85\u3057\u306a\u3044\u3067\u304f\u3060\u3055\u3044\u3002\u901a\u5e38\u306fpussy_best_v3.pt http://v3.pt \u3092\u4f7f\u3063\u3066\u304f\u3060\u3055\u3044\u3002pussy_last_v3.pt http://v3.pt \u306f\u8aa4\u691c\u51fa\u306e\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u3046\u307e\u304f\u691c\u51fa\u3067\u304d\u306a\u3044\u3068\u304d\u306b\u4f7f\u3063\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002\u30e2\u30c7\u30eb\u306b\u3088\u3063\u3066\u306f\u76f8\u6027\u304c\u60aa\u3044\u304b\u3082\u3002This is a machine translation.I made this haphazardly by imitating without much experience, so please don't expect high accuracy.There are pussy_best_v3.pt http://v3.pt and pussy_last_v3.pt http://v3.pt, but usually use best. last may cause false positives.", + "sd version": "Other", + "modelId": 150234, + "sha256": "8BC0EE8AD6B0AA97D53C8D38598C3E02339320AC885AB6084C27C7ABA3201379", + "unpackList": [ + "Pussy-Adetailer/", + "Pussy-Adetailer/model/", + "Pussy-Adetailer/model/adetailer/", + "Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_best.pt", + "Pussy-Adetailer/model/adetailer/pussy_yolo11s_bbox_last.pt", + "Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_best.pt", + "Pussy-Adetailer/model/adetailer/pussy_yolo11s_seg_last.pt" + ] +} \ No newline at end of file diff --git a/adetailer/pussyAdetailer_v5SegBboxYolo11s.preview.png b/adetailer/pussyAdetailer_v5SegBboxYolo11s.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..473a05d03da0705a00661db4812cb7569460712a Binary files /dev/null and b/adetailer/pussyAdetailer_v5SegBboxYolo11s.preview.png differ diff --git a/adetailer/pussyV2.pt b/adetailer/pussyV2.pt new file mode 100644 index 0000000000000000000000000000000000000000..aa430e6d3ecc7b62599ed85f006498cbb489625a --- /dev/null +++ b/adetailer/pussyV2.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7c38d3ecf1c743e99a0d42d64d658c203e63b39b824706c1522ebde57533a8b +size 6211374 diff --git a/adetailer/requirements.txt b/adetailer/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc6c5822eda781bfbc42a3bb14a4d17d818b89a1 --- /dev/null +++ b/adetailer/requirements.txt @@ -0,0 +1,2 @@ +ultralytics +tqdm diff --git a/adetailer/robot face v2_best.pt b/adetailer/robot face v2_best.pt new file mode 100644 index 0000000000000000000000000000000000000000..23a94e627d576d9831f0b1d9f34bb316cb341b7e --- /dev/null +++ b/adetailer/robot face v2_best.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e80476af3b7c9e63c440afd2ba6acaaf10b18ff6aae0f7e8996ecff9fec005d6 +size 5620591 diff --git a/adetailer/setup.bat b/adetailer/setup.bat new file mode 100644 index 0000000000000000000000000000000000000000..6f6ed585e95c4e8ab89d7d53f325424134bc896f --- /dev/null +++ b/adetailer/setup.bat @@ -0,0 +1,43 @@ +@echo off +setlocal + +:: Prompt for virtual environment name with default 'venv' +set VENV_NAME=ultralytics/ultralytics-venv +set /p VENV_NAME="Enter the name for your virtual environment (Press Enter for default 'ultralytics/ultralytics-venv'): " + +:: Create the virtual environment +echo Creating virtual environment named %VENV_NAME%... +python3.11 -m venv %VENV_NAME% + +:: Create directories +echo Creating project directories... +mkdir generate_input +mkdir generate_output +mkdir models +mkdir training_output +mkdir dataset +mkdir dataset\test +mkdir dataset\train +mkdir dataset\valid + +:: Generate the activate_venv.bat file +echo Generating activate_venv.bat... +( +echo @echo off +echo cd %%~dp0 +echo set VENV_PATH=%VENV_NAME% +echo. +echo echo Activating virtual environment... +echo call "%%VENV_PATH%%\Scripts\activate" +echo echo Virtual environment activated. +echo cmd /k +) > activate_venv.bat + +echo Setup complete. Use 'activate_venv.bat' to activate the virtual environment. + +:: Call activate_venv.bat to activate the virtual environment +echo Activating the virtual environment... +call activate_venv.bat + +echo Virtual environment %VENV_NAME% is activated. You can reactivate it in the future by running 'activate_venv.bat'. +endlocal diff --git a/adetailer/socksSegmentationAdetailer_v10.html b/adetailer/socksSegmentationAdetailer_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..6dcadde0e7c5337e10ccd9efee7a607dadfd4e1a --- /dev/null +++ b/adetailer/socksSegmentationAdetailer_v10.html @@ -0,0 +1,51 @@ + + + + + + +
+

Socks Segmentation - ADetailer - (socks_seg_s_yolov8)

+

Uploaded by mnemic

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+
+
Version
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v1.0
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Base Model
+
SD 1.5
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Published
+
2024-02-18
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Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetail +
+
+
Download Link
+
https://civitai.com/api/download/models/350008
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

A Yolov8 detection model that segments socks in images.

The model can be used as an ADetailer model (for Automatic1111 / Stable Diffusion use), or using other inference scripts to return detection bounding boxes of watermarks.

The model is entirely trained on the following dataset: Hello World/Computer Vision Research

A tutorial and code how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article.

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+ \ No newline at end of file diff --git a/adetailer/socksSegmentationAdetailer_v10.json b/adetailer/socksSegmentationAdetailer_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..08ff5e008a9794aedc8635ccca4e88b7c9ba7f09 --- /dev/null +++ b/adetailer/socksSegmentationAdetailer_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "A Yolov8 detection model that segments socks in images.The model can be used as an ADetailer https://github.com/Bing-su/adetailer model (for Automatic1111 https://github.com/AUTOMATIC1111/ / Stable Diffusion use), or using other inference scripts https://github.com/MNeMoNiCuZ/yolov8-scripts to return detection bounding boxes of watermarks.The model is entirely trained on the following dataset: Hello World/Computer Vision Research https://universe.roboflow.com/hello-world-x8jzg/computer-vision-researchA tutorial and code how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model.", + "sd version": "SD1", + "modelId": 311874, + "sha256": "7903F76A21581D454A0587D63987C0B6BF1C702073C2E0DEB77C0CB4B425AF2B", + "unpackList": [ + "socks_seg_s_yolov8.pt" + ] +} \ No newline at end of file diff --git a/adetailer/socksSegmentationAdetailer_v10.preview.png b/adetailer/socksSegmentationAdetailer_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..88c1d43518a33030fec18c1ba4743a9612d161a5 --- /dev/null +++ b/adetailer/socksSegmentationAdetailer_v10.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d506c2fc57a098d0da253105f302f914d524fbe0f06c763d77e0d4572562dd35 +size 4045590 diff --git a/adetailer/socks_seg_s_yolov8.pt b/adetailer/socks_seg_s_yolov8.pt new file mode 100644 index 0000000000000000000000000000000000000000..199078eb45df7a3c1cfd14350ae565414e293baa --- /dev/null +++ b/adetailer/socks_seg_s_yolov8.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3df21bcaf574d35f2fc07aa62f9bd05cf946f02ead52d6c66ac30aacafe3c380 +size 23843171 diff --git a/adetailer/spectacularDetailerGlasses_v1Seg.html b/adetailer/spectacularDetailerGlasses_v1Seg.html new file mode 100644 index 0000000000000000000000000000000000000000..cc634ec9244289aac7196622244a9b005dc8e45a --- /dev/null +++ b/adetailer/spectacularDetailerGlasses_v1Seg.html @@ -0,0 +1,151 @@ + + + + + + +
+

Spectacular Detailer (Glasses/Sunglasses) - BBOX/Segmentation - ADetailer

+

Uploaded by Pitpe11

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+
+
Version
+
v1-seg
+
Base Model
+
Other
+
Published
+
2024-03-28
+
Availability
+
Public
+
CivitAI Tags
+
+
+ sunglassesglassestooladetailersegmentationyolov8bounding box +
+
+
Download Link
+
https://civitai.com/api/download/models/416194
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

Glasses/Sunglasses BBox/Segmentation for ADetailer

Credits to mnemic for this article and Anzhc for this ADetailer model (see for more information)

Installation:

  1. Download the zip archive

  2. Extract the model into your ADetailer model folder

    • For the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailer

    • For ComfyUI it should be in models/ultralytics/segm (or models/ultralytics/bbox for the bbox version)

  3. Start it up (full restart if already had it open) and select the model from the ADetailer tab/node (tip for webui: you can go to Settings→Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models)

  4. Make sure to have correct Detection thresholds/inpaint strength and so on for your images

  5. Generate them glasses!

Works pretty well for detecting glasses or sunglasses. Might have trouble detecting glasses with tiny frame (like those transparent ones). I might work more on this in the future. Please tell me what you think. Thanks! 😊

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Prompt
a woman with green hair and glasses,neon green bodysuit,upper body close up,looking straight at viewer,cgsociety cyberpunk,trending on artstatioin,stunning 3d render of a fairy,(3d render:1.3),charli bowater and artgeem,cyberpunk angry gorgeous goddess,imvu,2070s,breathtaking render,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),cleavage,nsfw,nude,nipples,
Seed
4012819009
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitGlassesDetailer-v1-seg.pt
Adetailer prompt
{'(green glasses': '1.3)'}
Adetailer version
24.3.4
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v1b-seg.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
beautiful green eyes
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.6
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
a woman with green hair and glasses,neon green bodysuit,upper body close up,looking straight at viewer,cgsociety cyberpunk,trending on artstatioin,stunning 3d render of a fairy,(3d render:1.3),charli bowater and artgeem,cyberpunk angry gorgeous goddess,imvu,2070s,breathtaking render,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),cleavage,nsfw,nude,nipples,
Seed
4012819009
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Mask blur
4
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Inpaint area
Only masked
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitGlassesDetailer-v1-seg.pt
Adetailer prompt
{'(green glasses': '1.3)'}
Adetailer version
24.3.4
Denoising strength
0.4
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v1b-seg.pt
Masked area padding
32
Adetailer confidence
0.3
Adetailer prompt 2nd
beautiful green eyes
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.6
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
a woman with green hair and glasses,neon green bodysuit,upper body close up,looking straight at viewer,cgsociety cyberpunk,trending on artstatioin,stunning 3d render of a fairy,(3d render:1.3),charli bowater and artgeem,cyberpunk angry gorgeous goddess,imvu,2070s,breathtaking render,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),cleavage,nsfw,nude,nipples,
Seed
4012819009
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Mask blur
4
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Inpaint area
Only masked
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitGlassesDetailer-v1-seg.pt
Adetailer prompt
{'(green glasses': '1.3)'}
Adetailer version
24.3.4
Denoising strength
0.4
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v1b-seg.pt
Masked area padding
32
Adetailer confidence
0.3
Adetailer prompt 2nd
beautiful green eyes
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.6
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
a woman with green hair and sunglasses,neon green bodysuit,upper body close up,looking straight at viewer,cgsociety cyberpunk,trending on artstatioin,stunning 3d render of a fairy,(3d render:1.3),charli bowater and artgeem,cyberpunk angry gorgeous goddess,imvu,2070s,breathtaking render,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),cleavage,nsfw,nude,nipples,
Seed
4012819009
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitGlassesDetailer-v1-seg.pt
Adetailer prompt
{'(green sunglasses': '1.3)'}
Adetailer version
24.3.4
Denoising strength
0.45
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v1b-seg.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
beautiful green eyes
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.6
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
a woman with green hair and sunglasses,neon green bodysuit,upper body close up,looking straight at viewer,cgsociety cyberpunk,trending on artstatioin,stunning 3d render of a fairy,(3d render:1.3),charli bowater and artgeem,cyberpunk angry gorgeous goddess,imvu,2070s,breathtaking render,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),cleavage,nsfw,nude,nipples,
Seed
4012819009
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Mask blur
4
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Inpaint area
Only masked
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitGlassesDetailer-v1-seg.pt
Adetailer prompt
{'(green sunglasses': '1.3)'}
Adetailer version
24.3.4
Denoising strength
0.4
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v1b-seg.pt
Masked area padding
32
Adetailer confidence
0.3
Adetailer prompt 2nd
beautiful green eyes
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.6
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
a woman with green hair and sunglasses,neon green bodysuit,upper body close up,looking straight at viewer,cgsociety cyberpunk,trending on artstatioin,stunning 3d render of a fairy,(3d render:1.3),charli bowater and artgeem,cyberpunk angry gorgeous goddess,imvu,2070s,breathtaking render,
Negative prompt
(negativeXL_D:1),(unaestheticXL2v10:1),cleavage,nsfw,nude,nipples,
Seed
4012819009
Size
1024x1024
Model
MixTapeXL-Vol.2.1-Luminescence
Sampler
DPM++ 3M SDE Karras
Steps
30
CFG scale
5
+
+
+ + +
+
Hashes
{'model': 'a59ab26b5e', 'embed:negativeXL_D': 'fff5d51ab6', 'embed:unaestheticXL2v10': 'c792360b80'}
Version
f0.0.17v1.8.0rc-latest-276-g29be1da7
Clipskip
12
Mask blur
4
Ti hashes
{'negativeXL_D': 'fff5d51ab655', 'unaestheticXL2v10': 'c792360b80a1'}
Resources
[{'hash': 'a59ab26b5e', 'name': 'MixTapeXL-Vol.2.1-Luminescence', 'type': 'model'}]
Model hash
a59ab26b5e
Hires steps
15
Inpaint area
Only masked
Hires upscale
1.5
Hires upscaler
4x_foolhardy_Remacri
Adetailer model
PitGlassesDetailer-v1-seg.pt
Adetailer prompt
{'(green sunglasses': '1.3)'}
Adetailer version
24.3.4
Denoising strength
0.4
Adetailer mask blur
4
Adetailer model 2nd
PitEyeDetailer-v1b-seg.pt
Masked area padding
32
Adetailer confidence
0.3
Adetailer prompt 2nd
beautiful green eyes
Adetailer dilate erode
4
Adetailer mask blur 2nd
4
Adetailer confidence 2nd
0.6
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
32
Adetailer denoising strength 2nd
0.4
Adetailer inpaint only masked 2nd
True
+ \ No newline at end of file diff --git a/adetailer/spectacularDetailerGlasses_v1Seg.json b/adetailer/spectacularDetailerGlasses_v1Seg.json new file mode 100644 index 0000000000000000000000000000000000000000..8c1a3da45c5b26fbf1d23e7d11a296ca31a84fe3 --- /dev/null +++ b/adetailer/spectacularDetailerGlasses_v1Seg.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "Glasses/Sunglasses BBox/Segmentation for ADetailerCredits to mnemic https://civitai.com/user/mnemic for this article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model and Anzhc https://civitai.com/user/Anzhc for this ADetailer model https://civitai.com/models/293448/anzhcs-face-segmentation-prototype-or-yolov8-or-adetailer-model?modelVersionId=331333 (see for more information)Installation:Download the zip archiveExtract the model into your ADetailer model folderFor the WebUIs like Auto1111, Forge and SD.next it should be in models/adetailerFor ComfyUI it should be in models/ultralytics/segm (or models/ultralytics/bbox for the bbox version)Start it up (full restart if already had it open) and select the model from the ADetailer tab/node (tip for webui: you can go to Settings\u2192Adetailer and change the number of models that can be used up to 10, very useful if you want to use more than 2 ADetailer models)Make sure to have correct Detection thresholds/inpaint strength and so on for your imagesGenerate them glasses!Works pretty well for detecting glasses or sunglasses. Might have trouble detecting glasses with tiny frame (like those transparent ones). I might work more on this in the future. Please tell me what you think. Thanks! \ud83d\ude0a", + "sd version": "Other", + "modelId": 372523, + "sha256": "908675717EB22F20B8442C07105A0340B34DB44540474F0F49ABF6511FBCA177", + "unpackList": [ + "PitGlassesDetailer-v1-seg.pt" + ] +} \ No newline at end of file diff --git a/adetailer/spectacularDetailerGlasses_v1Seg.preview.png b/adetailer/spectacularDetailerGlasses_v1Seg.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..85ed97ca7d48bd5bbcf10e836cc13e9425a0ae5c Binary files /dev/null and b/adetailer/spectacularDetailerGlasses_v1Seg.preview.png differ diff --git a/adetailer/train.py b/adetailer/train.py new file mode 100644 index 0000000000000000000000000000000000000000..aeda7feaa34099f733881b0dc60376855d12e193 --- /dev/null +++ b/adetailer/train.py @@ -0,0 +1,63 @@ +# Imports +import os +import torch +from ultralytics import YOLO + +def main(): + # Check if CUDA (GPU support) is available + training_device = 'cuda:0' if torch.cuda.is_available() else 'cpu' + print("Using device:", training_device) + # Load a pretrained model + # Model Options: + ''' + yolov8n.pt # Nano + yolov8s.pt # Small + yolov8m.pt # Medium + yolov8l.pt # Large + yolov8x.pt # Xtra Large + ''' + # User settings + output_dir = 'training_output' + folder_name = 'speechbubble' + starting_model = 'models/yolov8s.pt' # Choose the model size from the list above, will be downloaded + batch_size = 32 # Batch size for training + epoch_count = 50 # Number of training epochs + + # Create output directory if it does not exist + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + # Absolute path to dataset.yaml + dataset_path = os.path.abspath('dataset.yaml') + + # Run the training + modelYolo = YOLO(starting_model) + modelYolo.train(data=dataset_path, epochs=epoch_count, batch=batch_size, device=training_device, project=output_dir, name=folder_name) + + # Evaluate model performance on the validation set + metrics = modelYolo.val() + + # Optional: Export the model to alternative formats + # Format Options: + ''' + Format Argument Model Metadata Arguments + PyTorch - yolov8n.pt yes - + TorchScript torchscript yolov8n.torchscript yes imgsz, optimize + ONNX onnx yolov8n.onnx yes imgsz, half, dynamic, simplify, opset + OpenVINO openvino yolov8n_openvino_model/ yes imgsz, half, int8 + TensorRT engine yolov8n.engine yes imgsz, half, dynamic, simplify, workspace + CoreML coreml yolov8n.mlpackage yes imgsz, half, int8, nms + TF SavedModel saved_model yolov8n_saved_model/ yes imgsz, keras, int8 + TF GraphDef pb yolov8n.pb no imgsz + TF Lite tflite yolov8n.tflite yes imgsz, half, int8 + TF Edge TPU edgetpu yolov8n_edgetpu.tflite yes imgsz + TF.js tfjs yolov8n_web_model/ yes imgsz, half, int8 + PaddlePaddle paddle yolov8n_paddle_model/ yes imgsz + ncnn ncnn yolov8n_ncnn_model/ yes imgsz, half + ''' + # path = model.export(format="onnx") # Export to alternative formats + + # Keep the script running (Optional) + input("Press Enter to exit...") +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/adetailer/trainingACustom_v10.html b/adetailer/trainingACustom_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..12c39b918e3423edbd06e9051690cd1a40215254 --- /dev/null +++ b/adetailer/trainingACustom_v10.html @@ -0,0 +1,51 @@ + + + + + + +
+

Training a Custom Adetailer Model with Yolov8

+

Uploaded by mnemic

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2024-02-11
+
Availability
+
Public
+
CivitAI Tags
+
+
+ toolstool +
+
+
Download Link
+
https://civitai.com/api/download/models/339410
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

This tool helps you train detection models, as well as use them to generate detection outputs (image and text).

It can be used inside Automatic1111 or ComfyUI with the right extensions, like ADetailer or similar node-packs.

The file can be downloaded from this page, or cloned from Github:

https://github.com/MNeMoNiCuZ/yolov8-scripts/

I have also written an article to help you create your first model:

https://civitai.com/articles/4080

+
+ +
+
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/trainingACustom_v10.json b/adetailer/trainingACustom_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..ab90b910f3e337545a2f41cec6647601ab97e1ea --- /dev/null +++ b/adetailer/trainingACustom_v10.json @@ -0,0 +1,65 @@ +{ + "activation text": "", + "description": "This tool helps you train detection models, as well as use them to generate detection outputs (image and text).It can be used inside Automatic1111 or ComfyUI with the right extensions, like ADetailer or similar node-packs.The file can be downloaded from this page, or cloned from Github:https://github.com/MNeMoNiCuZ/yolov8-scripts/ https://github.com/MNeMoNiCuZ/yolov8-scripts/I have also written an article to help you create your first model:https://civitai.com/articles/4080 https://civitai.com/articles/4080", + "sd version": "SD1", + "modelId": 302266, + "sha256": "96F4DE5C8FE2DE2BDC8251D2890C44F86C5EACE7285F9C07A3849BB99C7FA03C", + "unpackList": [ + ".git/", + ".git/config", + ".git/description", + ".git/HEAD", + ".git/hooks/", + ".git/hooks/applypatch-msg.sample", + ".git/hooks/commit-msg.sample", + ".git/hooks/fsmonitor-watchman.sample", + ".git/hooks/post-update.sample", + ".git/hooks/pre-applypatch.sample", + ".git/hooks/pre-commit.sample", + ".git/hooks/pre-merge-commit.sample", + ".git/hooks/pre-push.sample", + ".git/hooks/pre-rebase.sample", + ".git/hooks/pre-receive.sample", + ".git/hooks/prepare-commit-msg.sample", + ".git/hooks/push-to-checkout.sample", + ".git/hooks/sendemail-validate.sample", + ".git/hooks/update.sample", + ".git/index", + ".git/info/", + ".git/info/exclude", + ".git/logs/", + ".git/logs/HEAD", + ".git/logs/refs/", + ".git/logs/refs/heads/", + ".git/logs/refs/heads/main", + ".git/logs/refs/remotes/", + ".git/logs/refs/remotes/origin/", + ".git/logs/refs/remotes/origin/HEAD", + ".git/objects/", + ".git/objects/info/", + ".git/objects/pack/", + ".git/objects/pack/pack-8538f6c919eed5005129cde1c5ee21915aee75a3.idx", + ".git/objects/pack/pack-8538f6c919eed5005129cde1c5ee21915aee75a3.pack", + ".git/objects/pack/pack-8538f6c919eed5005129cde1c5ee21915aee75a3.rev", + ".git/packed-refs", + ".git/refs/", + ".git/refs/heads/", + ".git/refs/heads/main", + ".git/refs/remotes/", + ".git/refs/remotes/origin/", + ".git/refs/remotes/origin/HEAD", + ".git/refs/tags/", + "dataset/", + "dataset/CocoGetClasses.py", + "dataset/CocoToYoloAnnotations.py", + "dataset/data.yaml", + "generate.py", + "LICENSE", + "README.md", + "requirements.txt", + "setup.bat", + "train.py", + "yoloOutputCopyMatchingImages.py", + "yoloOutputToYoloAnnotations.py" + ] +} \ No newline at end of file diff --git a/adetailer/trainingACustom_v10.preview.png b/adetailer/trainingACustom_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..95de1536dac3b025313e7b517796022dbf052a43 Binary files /dev/null and b/adetailer/trainingACustom_v10.preview.png differ diff --git a/adetailer/trampstamp-bbox.pt b/adetailer/trampstamp-bbox.pt new file mode 100644 index 0000000000000000000000000000000000000000..9d10d471f7e020ed117f2759b5ca65f7876f3482 --- /dev/null +++ b/adetailer/trampstamp-bbox.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:feac96f133cc92ecbaf312930f745bd47a42af0dcb6243020a153e82131fa005 +size 6234168 diff --git a/adetailer/trampstampTattooLowerBack_v1Bbox.html b/adetailer/trampstampTattooLowerBack_v1Bbox.html new file mode 100644 index 0000000000000000000000000000000000000000..26948e326f1b40dce7b91fe8a1c79697fe6e83ab --- /dev/null +++ b/adetailer/trampstampTattooLowerBack_v1Bbox.html @@ -0,0 +1,116 @@ + + + + + + +
+

Trampstamp Tattoo | Lower Back Tattoo BBox - ADetailer

+

Uploaded by 7err4

+
+
+
Version
+
v1-bbox
+
Base Model
+
Other
+
Published
+
2024-09-24
+
Availability
+
Public
+
CivitAI Tags
+
+
+ sexymemebuttpubic tattootoolbuttcrackadetaileryolov8lower back tattootramp stamp +
+
+
Download Link
+
https://civitai.com/api/download/models/887216
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

To be used with my Tramp Stamp / Lower Back Lora:

https://civitai.com/models/442232/trampstamp-tattoo-or-lower-back-tattoo-pony?modelVersionId=496602

Add Lora as positive prompt in adetailer in adition to the main prompt. May detect Similar looking tattoos aswell.

Recommended Denoising Strength: 0.5-0.8

+
+ +
+
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, best quality, masterpiece, 4k, perfect lighting, very aesthetic BREAK 1girl, tramp stamp, <lora:trampstamp-pdxl-v2:1>, sendai \(kancolle\), butt crack,
Negative prompt
3d, score_6, score_5,negativeXLD, (censored, bar censor:1.1), long neck,(worst quality, low quality:1.4), simple background, white background, covered navel, thick thighs, sketch, normal quality, jpeg artifacts, (muscular:1.2), (depth of field, blurry:1.2), bloom, messy drawing, amateur drawing, (fewer digits, extra digits:1.4), greyscale, monochrome, bad artist, sketch, painting, monochrome, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits
Seed
1897821378
Size
896x1152
Model
malaAnimeMixNSFW_v60
Sampler
DPM++ 2M SDE
Steps
55
CFG scale
5
+
+
+ + +
+
Hashes
{'model': '8bc396236d', 'lora:trampstamp-pdxl-v2': 'dd5ecfea8dc0'}
Version
f2.0.1v1.10.1-previous-538-ga82d5d17
Module 1
sdxl_vae
Resources
[{'hash': 'dd5ecfea8dc0', 'name': 'trampstamp-pdxl-v2', 'type': 'lora', 'weight': 1}, {'hash': '8bc396236d', 'name': 'malaAnimeMixNSFW_v60', 'type': 'model'}]
Model hash
8bc396236d
Schedule type
Karras
Adetailer model
trampstamp-bbox.pt
Adetailer prompt
{'trampstamp-pdxl-v2': '1>'}
Adetailer version
24.9.0
Adetailer mask blur
4
Adetailer confidence
0.3
Adetailer dilate erode
4
Adetailer inpaint padding
32
Adetailer denoising strength
0.6
Adetailer inpaint only masked
True
+
+
+ + + + +
+ +
+
Prompt
score_9, score_8_up, score_7_up, best quality, masterpiece, 4k, perfect lighting, very aesthetic BREAK princess peach, star tattoo, tramp stamp, <lora:trampstamp-pdxl-v2:1>, butt crack, looking back, one eye closed, skirt pulled by self,
Negative prompt
3d, score_6, score_5,negativeXLD, (censored, bar censor:1.1), long neck,(worst quality, low quality:1.4), simple background, white background, covered navel, thick thighs, sketch, normal quality, jpeg artifacts, (muscular:1.2), (depth of field, blurry:1.2), bloom, messy drawing, amateur drawing, (fewer digits, extra digits:1.4), greyscale, monochrome, bad artist, sketch, painting, monochrome, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits
Seed
1223085845
Size
768x1152
Model
malaAnimeMixNSFW_v60
Sampler
DPM++ 2M SDE
Steps
55
CFG scale
5
+
+
+ + +
+
Hashes
{'model': '8bc396236d', 'lora:trampstamp-pdxl-v2': 'dd5ecfea8dc0'}
Version
f2.0.1v1.10.1-previous-538-ga82d5d17
Module 1
sdxl_vae
Resources
[{'hash': 'dd5ecfea8dc0', 'name': 'trampstamp-pdxl-v2', 'type': 'lora', 'weight': 1}, {'hash': '8bc396236d', 'name': 'malaAnimeMixNSFW_v60', 'type': 'model'}]
Model hash
8bc396236d
Schedule type
Karras
Adetailer model
face_yolov8n.pt
Adetailer version
24.9.0
Adetailer mask blur
4
Adetailer model 2nd
trampstamp-bbox.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
{'trampstamp-pdxl-v2': '1>'}
Adetailer dilate erode
4
Adetailer mask blur 2nd
8
Adetailer confidence 2nd
0.3
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.4
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
64
Adetailer denoising strength 2nd
0.85
Adetailer inpaint only masked 2nd
True
+
+
+ + + + +
+ +
+
Prompt
score_9,score_8_up,score_7_up,8k,1girl,solo, source_anime, +(black uniform:0.6), thigh boots,platform heels, blush,netorare,embarrassed, anxious, (tearing up:0.1), looking back, fishnet thighhighs, +pov doggystyle, creampie, vaginal, tramp stamp, heart tattoo, +defBerni, purple hair, messy hair, grey eyes, <lora:bernadetta-pdxl-nvwls-v1:0.95> <lora:Expressive_H:0.9> <lora:trampstamp-pdxl-v2:1>
Negative prompt
score_6,score_5,score_4,bad anatomy,bad hands,missing fingers,fewer digits,source_furry,source_pony,source_cartoon,3d,blurry,watermark,speech bubble, pubic tattoo, breast tattoo,
Seed
2117326188
Size
768x1152
Model
malaAnimeMixNSFW_v60
Sampler
Euler a
Steps
65
CFG scale
6
+
+
+ + +
+
Hashes
{'model': '8bc396236d', 'lora:Expressive_H': '5671f20a9a6b', 'lora:trampstamp-pdxl-v2': 'dd5ecfea8dc0', 'lora:bernadetta-pdxl-nvwls-v1': '45151748e11b'}
Version
f2.0.1v1.10.1-previous-538-ga82d5d17
Module 1
sdxl_vae
Resources
[{'hash': '45151748e11b', 'name': 'bernadetta-pdxl-nvwls-v1', 'type': 'lora', 'weight': 0.95}, {'hash': '5671f20a9a6b', 'name': 'Expressive_H', 'type': 'lora', 'weight': 0.9}, {'hash': 'dd5ecfea8dc0', 'name': 'trampstamp-pdxl-v2', 'type': 'lora', 'weight': 1}, {'hash': '8bc396236d', 'name': 'malaAnimeMixNSFW_v60', 'type': 'model'}]
Model hash
8bc396236d
Schedule type
Automatic
Adetailer model
face_yolov8n.pt
Adetailer steps
55
Adetailer prompt
{'bernadetta-pdxl-nvwls-v1': '1>'}
Adetailer version
24.9.0
Adetailer mask blur
4
Adetailer model 2nd
last.pt
Adetailer confidence
0.3
Adetailer prompt 2nd
{'trampstamp-pdxl-v2': '1>'}
Adetailer dilate erode
4
Adetailer mask blur 2nd
6
Adetailer confidence 2nd
0.3
Adetailer inpaint padding
32
Adetailer dilate erode 2nd
4
Adetailer denoising strength
0.5
Adetailer use separate steps
True
Adetailer inpaint only masked
True
Adetailer inpaint padding 2nd
64
Adetailer denoising strength 2nd
0.8
Adetailer inpaint only masked 2nd
True
+
+
+ + + +
+
+
+ + + +
+ \ No newline at end of file diff --git a/adetailer/trampstampTattooLowerBack_v1Bbox.json b/adetailer/trampstampTattooLowerBack_v1Bbox.json new file mode 100644 index 0000000000000000000000000000000000000000..09aa7df889b2e59dec24767686c3cb949334af78 --- /dev/null +++ b/adetailer/trampstampTattooLowerBack_v1Bbox.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "To be used with my Tramp Stamp / Lower Back Lora:https://civitai.com/models/442232/trampstamp-tattoo-or-lower-back-tattoo-pony?modelVersionId=496602 https://civitai.com/models/442232/trampstamp-tattoo-or-lower-back-tattoo-pony?modelVersionId=496602Add Lora as positive prompt in adetailer in adition to the main prompt. May detect Similar looking tattoos aswell. Recommended Denoising Strength: 0.5-0.8", + "sd version": "Other", + "modelId": 793442, + "sha256": "F5F820B5BB2AC0A9A472C70116DE58D22CABC1A1E5C10EF23061BC2255073D02", + "unpackList": [ + "trampstamp-bbox.pt" + ] +} \ No newline at end of file diff --git a/adetailer/trampstampTattooLowerBack_v1Bbox.preview.png b/adetailer/trampstampTattooLowerBack_v1Bbox.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..4ca912b79f958f3d8d8f10af8fee308ce5f5d643 Binary files /dev/null and b/adetailer/trampstampTattooLowerBack_v1Bbox.preview.png differ diff --git a/adetailer/unwanted-3x.pt b/adetailer/unwanted-3x.pt new file mode 100644 index 0000000000000000000000000000000000000000..bdf70b8dfce168269ba7db05e880826bf14557f9 --- /dev/null +++ b/adetailer/unwanted-3x.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bbfafc71aec7e4e76d8384c15982554b6a100aa670479c2706d8eaad69f7b9fa +size 92377085 diff --git a/adetailer/unwantedV10x.pt b/adetailer/unwantedV10x.pt new file mode 100644 index 0000000000000000000000000000000000000000..9fca231779efb985609b0dc18c8b5de2f6732714 --- /dev/null +++ b/adetailer/unwantedV10x.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c6c260da0211e9ce871423bf51f4c1a7dfa17b89d175f0dda70973ea01c8888e +size 143957437 diff --git a/adetailer/vagina-v4.1.pt b/adetailer/vagina-v4.1.pt new file mode 100644 index 0000000000000000000000000000000000000000..3367b05727c9e53925e253d7d62552aca3324d03 --- /dev/null +++ b/adetailer/vagina-v4.1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:612e6c5b6d5fd47befec7eea271df9eeea2b7b087dfefa9ab5a2ced1c251df11 +size 52003222 diff --git a/adetailer/watermarkDetectionAdetailer_v10.html b/adetailer/watermarkDetectionAdetailer_v10.html new file mode 100644 index 0000000000000000000000000000000000000000..fa6093b051f6e1a7537abb8b1bc5426812d20906 --- /dev/null +++ b/adetailer/watermarkDetectionAdetailer_v10.html @@ -0,0 +1,51 @@ + + + + + + +
+

Watermark Detection - ADetailer - (watermarks_s_yolov8)

+

Uploaded by mnemic

+
+
+
Version
+
v1.0
+
Base Model
+
SD 1.5
+
Published
+
2024-02-18
+
Availability
+
Public
+
CivitAI Tags
+
+
+ tooladetailer +
+
+
Download Link
+
https://civitai.com/api/download/models/350000
+
+
+
+

Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges

+
+
+
+ +
+

Description

+

A Yolov8 detection model that detects watermarks in images.

The model can be used as an ADetailer model (for Automatic1111 / Stable Diffusion use), or using other inference scripts to return detection bounding boxes of watermarks.

The model is entirely trained on the following dataset: MFW-feoki/W6-janF

A small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article.

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+ + + +
+ \ No newline at end of file diff --git a/adetailer/watermarkDetectionAdetailer_v10.json b/adetailer/watermarkDetectionAdetailer_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..2a0a6c33573dbb9a853aa9fea7b2d69a80f6c24a --- /dev/null +++ b/adetailer/watermarkDetectionAdetailer_v10.json @@ -0,0 +1,10 @@ +{ + "activation text": "", + "description": "A Yolov8 detection model that detects watermarks in images.The model can be used as an ADetailer https://github.com/Bing-su/adetailer model (for Automatic1111 https://github.com/AUTOMATIC1111/ / Stable Diffusion use), or using other inference scripts https://github.com/MNeMoNiCuZ/yolov8-scripts to return detection bounding boxes of watermarks.The model is entirely trained on the following dataset: MFW-feoki/W6-janF https://universe.roboflow.com/mfw-feoki/w6_janfA small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts https://github.com/MNeMoNiCuZ/yolov8-scripts or this CivitAI article https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model.", + "sd version": "SD1", + "modelId": 311866, + "sha256": "1C962C351A18663F6F15C68553E6375671411D81F9900EE5A0A0DCCEEE758667", + "unpackList": [ + "watermarks_s_yolov8_v1.pt" + ] +} \ No newline at end of file diff --git a/adetailer/watermarkDetectionAdetailer_v10.preview.png b/adetailer/watermarkDetectionAdetailer_v10.preview.png new file mode 100644 index 0000000000000000000000000000000000000000..7c434c000b0d1d1a7ef215648182957a993f3ec0 --- /dev/null +++ b/adetailer/watermarkDetectionAdetailer_v10.preview.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:69c9a3dbc145e260379a9c364554982c04b98cfc2ebbd00e8b97a7dc325b22f9 +size 5063801 diff --git a/adetailer/watermarks_s_yolov8_v1.pt b/adetailer/watermarks_s_yolov8_v1.pt new file mode 100644 index 0000000000000000000000000000000000000000..d682eb226b16b19c48a5720d9bfacbc87448c8db --- /dev/null +++ b/adetailer/watermarks_s_yolov8_v1.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:234f6ab07701dcc45127758b2e111e6c288f2fdcf6c96438ec508297b4264a49 +size 22535705 diff --git a/adetailer/yoloOutputCopyMatchingImages.py b/adetailer/yoloOutputCopyMatchingImages.py new file mode 100644 index 0000000000000000000000000000000000000000..79b27f6918a80b7e7d28a96291b941afb2723bb3 --- /dev/null +++ b/adetailer/yoloOutputCopyMatchingImages.py @@ -0,0 +1,66 @@ +""" +This script is designed to filter and copy selected image files based on their presence in two distinct directories. The primary use case is to identify image files that have corresponding annotation files in one directory ('curated_dir') and also exist in another directory ('original_dir'). Once identified, these selected image files are copied from the 'original_dir' to a third directory ('matching_dir'), intended for further processing or analysis. + +In simple terms, use the script to find the original image files based on a curated selection of images, which may have been modified (scaled down, compressed, overlaid with prediction graphics etc.) + +The script operates as follows: +1. It reads the names of image files from the 'curated_dir', assuming that the presence of image files in this directory indicates that it has a corresponding annotation file. +2. It then checks if these image files also exist in the 'original_dir' directory, ensuring that only files present in both directories are considered for copying. +3. Files that meet the above criteria are copied to the 'matching_dir', creating this directory if it does not already exist. +4. Throughout the process, the script logs its actions, providing feedback on the files being processed and any discrepancies encountered, such as missing files in expected locations. + +This tool is particularly useful in machine learning workflows where a subset of images from a larger dataset (represented by 'original_dir') needs to be isolated based on specific criteria, such as the availability of annotations. + +Run this script from the root of the project. +""" +import os +import shutil + +# Directory paths configuration +original_dir = 'input/original' # Directory containing all image files, this is the source image folder, it does not need to have any annotations or captions. This is where the script will copy the matching images from. +curated_dir = 'input/curated' # Directory containing your selection of images to keep, but the images are downsized or have overlays saved over the images. +matching_dir = 'input/matching' # Destination directory for selected image files, consider this the output directory. + +# Supported image extensions +image_extensions = ['.jpg', '.jpeg', '.png'] + +# Script execution starts here +print(f"Pairs directory: {curated_dir}") +print(f"All directory: {original_dir}") +print(f"Selected directory: {matching_dir}") + +# Create the matching directory if it doesn't exist +if not os.path.exists(matching_dir): + os.makedirs(matching_dir) + print(f"Created matching directory: {matching_dir}") + +# Function to check if file extension matches supported image types +def is_supported_image(file_name): + return any(file_name.lower().endswith(ext) for ext in image_extensions) + +# List all supported image files in the curated directory +curated_files = [f for f in os.listdir(curated_dir) if is_supported_image(f)] +print(f"Image files in curated directory: {curated_files}") + +# Loop through each file in the curated directory +for file_name in curated_files: + # Construct the full file path in both original and curated directories + original_file_path = os.path.join(original_dir, file_name) + curated_file_path = os.path.join(curated_dir, file_name) + + # Check if the image file exists in both original and curated directories + if os.path.exists(original_file_path) and os.path.exists(curated_file_path): + # Construct the destination path in the matching directory + matching_file_path = os.path.join(matching_dir, file_name) + + # Copy the file from the original directory to the matching directory + shutil.copy(original_file_path, matching_file_path) + print(f"Copied from {original_file_path} to {matching_file_path}") + else: + # Print error messages if files are missing in either directory + if not os.path.exists(original_file_path): + print(f"Original file does not exist: {original_file_path}") + if not os.path.exists(curated_file_path): + print(f"Curated file does not exist: {curated_file_path}") + +print("Process completed.") \ No newline at end of file diff --git a/adetailer/yoloOutputToYoloAnnotations.py b/adetailer/yoloOutputToYoloAnnotations.py new file mode 100644 index 0000000000000000000000000000000000000000..1c5d9daf68e203e99b25a863d2722f0ad9bf31ab --- /dev/null +++ b/adetailer/yoloOutputToYoloAnnotations.py @@ -0,0 +1,78 @@ +""" +This script is designed to remap detection outputs from YOLO text format to the YOLO training format. It processes a given folder containing image files and their corresponding detection annotation files. For each image and its associated detection file, the script reads the detections, converts their bounding box coordinates from absolute pixel values to normalized values relative to the image dimensions, and then writes these normalized values to a new output file in YOLO format. + +Before running the script, ensure the 'folder_path' variable is set to the directory containing your images and detection files. The detection files should be in the format '.txt', with each line representing a detected object in the format 'class_name confidence x_start y_start x_end y_end'. + +Run this script from the root of the project. +""" + +from PIL import Image +import os + +# Default folder paths - These can be the same if images and text files are in the same folder +images_folder = 'output/overlays' # Folder for images +texts_folder = 'output/detections' # Folder containing text files with detection + +# Mapping of class names to class IDs +class_ids = { + 'watermark': 0, + 'rabbits': 1 + # Add more class names and IDs as needed +} + +# Converts detection formats from one type to YOLO format and saves to an output file +def convert_detections(input_file, image_file, output_file): + # Open the image file to get dimensions + with Image.open(image_file) as img: + image_width, image_height = img.size + print(f"Image dimensions for {image_file}: width={image_width}, height={image_height}") + + # Read detections from the input file and write normalized values to the output file + with open(input_file, 'r') as infile, open(output_file, 'w') as outfile: + for line in infile: + detections = line.strip().split(', ') + for detection in detections: + parts = detection.split() + # Validate detection format + if len(parts) != 6: + print(f"Skipping invalid detection: {detection}") + continue + + # Extract detection details + class_name, confidence, x_start, y_start, x_end, y_end = parts + class_id = class_ids.get(class_name, -1) # Use -1 for unknown class names + + if class_id == -1: + print(f"Unknown class '{class_name}', skipping.") + continue + + # Convert absolute coordinates to normalized values + x_start, y_start, x_end, y_end = map(float, [x_start, y_start, x_end, y_end]) + x_center_ratio = ((x_start + x_end) / 2) / image_width + y_center_ratio = ((y_start + y_end) / 2) / image_height + width_ratio = (x_end - x_start) / image_width + height_ratio = (y_end - y_start) / image_height + + # Write the converted detection to the output file + outfile.write(f"{class_id} {x_center_ratio} {y_center_ratio} {width_ratio} {height_ratio}\n") + +# Processes all images in a folder and converts their detections to the desired format +def process_folders(images_folder, texts_folder): + for text_file in os.listdir(texts_folder): + base, ext = os.path.splitext(text_file) + if ext.lower() == '.txt': + # Construct paths for corresponding image and output files + corresponding_image_file = base + '.jpg' # Change extension if needed + image_file_path = os.path.join(images_folder, corresponding_image_file) + text_file_path = os.path.join(texts_folder, text_file) + output_file_path = os.path.join(texts_folder, base + '_converted.txt') + + # Process the files if the corresponding image exists + if os.path.exists(image_file_path): + print(f"Processing {base}...") + convert_detections(text_file_path, image_file_path, output_file_path) + else: + print(f"No corresponding image file for {text_file_path}") + +# Run the process on the specified folder +process_folders(images_folder, texts_folder) \ No newline at end of file