Upload 23 files

.gitignore

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+__pycache__
+*.ckpt
+*.safetensors
+*.pth
+/ESRGAN/*
+/SwinIR/*
+/repositories
+/venv
+/tmp
+/model.ckpt
+/models/**/*
+/GFPGANv1.3.pth
+/gfpgan/weights/*.pth
+/ui-config.json
+/outputs
+/config.json
+/log
+/webui.settings.bat
+/embeddings
+/styles.csv
+/params.txt
+/styles.csv.bak
+/webui-user.bat
+/webui-user.sh
+/interrogate
+/user.css
+/.idea
+notification.mp3
+/SwinIR
+/textual_inversion
+.vscode
+/extensions
+/test/stdout.txt
+/test/stderr.txt
+/cache.json*
+/config_states/

.pylintrc

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+# See https://pylint.pycqa.org/en/latest/user_guide/messages/message_control.html
+[MESSAGES CONTROL]
+disable=C,R,W,E,I

CHANGELOG.md

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+## 1.1.1
+### Bug Fixes:
+ * fix an error that prevents running webui on torch<2.0 without --disable-safe-unpickle
+
+## 1.1.0
+### Features:
+ * switch to torch 2.0.0 (except for AMD GPUs)
+ * visual improvements to custom code scripts
+ * add filename patterns: [clip_skip], [hasprompt<>], [batch_number], [generation_number]
+ * add support for saving init images in img2img, and record their hashes in infotext for reproducability
+ * automatically select current word when adjusting weight with ctrl+up/down
+ * add dropdowns for X/Y/Z plot
+ * setting: Stable Diffusion/Random number generator source: makes it possible to make images generated from a given manual seed consistent across different GPUs
+ * support Gradio's theme API
+ * use TCMalloc on Linux by default; possible fix for memory leaks
+ * (optimization) option to remove negative conditioning at low sigma values #9177
+ * embed model merge metadata in .safetensors file
+ * extension settings backup/restore feature #9169
+ * add "resize by" and "resize to" tabs to img2img
+ * add option "keep original size" to textual inversion images preprocess
+ * image viewer scrolling via analog stick
+ * button to restore the progress from session lost / tab reload
+
+### Minor:
+ * gradio bumped to 3.28.1
+ * in extra tab, change extras "scale to" to sliders
+ * add labels to tool buttons to make it possible to hide them
+ * add tiled inference support for ScuNET
+ * add branch support for extension installation
+ * change linux installation script to insall into current directory rather than /home/username
+ * sort textual inversion embeddings by name (case insensitive)
+ * allow styles.csv to be symlinked or mounted in docker
+ * remove the "do not add watermark to images" option
+ * make selected tab configurable with UI config
+ * extra networks UI in now fixed height and scrollable
+ * add disable_tls_verify arg for use with self-signed certs
+
+### Extensions:
+ * Add reload callback
+ * add is_hr_pass field for processing
+
+### Bug Fixes:
+ * fix broken batch image processing on 'Extras/Batch Process' tab
+ * add "None" option to extra networks dropdowns
+ * fix FileExistsError for CLIP Interrogator
+ * fix /sdapi/v1/txt2img endpoint not working on Linux #9319
+ * fix disappearing live previews and progressbar during slow tasks
+ * fix fullscreen image view not working properly in some cases
+ * prevent alwayson_scripts args param resizing script_arg list when they are inserted in it
+ * fix prompt schedule for second order samplers
+ * fix image mask/composite for weird resolutions #9628
+ * use correct images for previews when using AND (see #9491)
+ * one broken image in img2img batch won't stop all processing
+ * fix image orientation bug in train/preprocess
+ * fix Ngrok recreating tunnels every reload
+ * fix --realesrgan-models-path and --ldsr-models-path not working
+ * fix --skip-install not working
+ * outpainting Mk2 & Poorman should use the SAMPLE file format to save images, not GRID file format
+ * do not fail all Loras if some have failed to load when making a picture
+
+## 1.0.0
+  * everything

CODEOWNERS

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+*       @AUTOMATIC1111
+
+# if you were managing a localization and were removed from this file, this is because
+# the intended way to do localizations now is via extensions. See:
+# https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Developing-extensions
+# Make a repo with your localization and since you are still listed as a collaborator
+# you can add it to the wiki page yourself. This change is because some people complained
+# the git commit log is cluttered with things unrelated to almost everyone and
+# because I believe this is the best overall for the project to handle localizations almost
+# entirely without my oversight.
+
+

LICENSE.txt

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+                    GNU AFFERO GENERAL PUBLIC LICENSE
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+
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+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
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+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
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+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
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+    it under the terms of the GNU Affero General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
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+
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+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

README.md

@@ -1,13 +1,162 @@
----
-title: Stabl
-emoji: 👁
-colorFrom: gray
-colorTo: indigo
-sdk: gradio
-sdk_version: 3.29.0
-app_file: app.py
-pinned: false
-license: openrail
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Stable Diffusion web UI
+A browser interface based on Gradio library for Stable Diffusion.
+
+![](screenshot.png)
+
+## Features
+[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
+- Original txt2img and img2img modes
+- One click install and run script (but you still must install python and git)
+- Outpainting
+- Inpainting
+- Color Sketch
+- Prompt Matrix
+- Stable Diffusion Upscale
+- Attention, specify parts of text that the model should pay more attention to
+    - a man in a `((tuxedo))` - will pay more attention to tuxedo
+    - a man in a `(tuxedo:1.21)` - alternative syntax
+    - select text and press `Ctrl+Up` or `Ctrl+Down` to automatically adjust attention to selected text (code contributed by anonymous user)
+- Loopback, run img2img processing multiple times
+- X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters
+- Textual Inversion
+    - have as many embeddings as you want and use any names you like for them
+    - use multiple embeddings with different numbers of vectors per token
+    - works with half precision floating point numbers
+    - train embeddings on 8GB (also reports of 6GB working)
+- Extras tab with:
+    - GFPGAN, neural network that fixes faces
+    - CodeFormer, face restoration tool as an alternative to GFPGAN
+    - RealESRGAN, neural network upscaler
+    - ESRGAN, neural network upscaler with a lot of third party models
+    - SwinIR and Swin2SR ([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
+    - LDSR, Latent diffusion super resolution upscaling
+- Resizing aspect ratio options
+- Sampling method selection
+    - Adjust sampler eta values (noise multiplier)
+    - More advanced noise setting options
+- Interrupt processing at any time
+- 4GB video card support (also reports of 2GB working)
+- Correct seeds for batches
+- Live prompt token length validation
+- Generation parameters
+     - parameters you used to generate images are saved with that image
+     - in PNG chunks for PNG, in EXIF for JPEG
+     - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
+     - can be disabled in settings
+     - drag and drop an image/text-parameters to promptbox
+- Read Generation Parameters Button, loads parameters in promptbox to UI
+- Settings page
+- Running arbitrary python code from UI (must run with `--allow-code` to enable)
+- Mouseover hints for most UI elements
+- Possible to change defaults/mix/max/step values for UI elements via text config
+- Tiling support, a checkbox to create images that can be tiled like textures
+- Progress bar and live image generation preview
+    - Can use a separate neural network to produce previews with almost none VRAM or compute requirement
+- Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
+- Styles, a way to save part of prompt and easily apply them via dropdown later
+- Variations, a way to generate same image but with tiny differences
+- Seed resizing, a way to generate same image but at slightly different resolution
+- CLIP interrogator, a button that tries to guess prompt from an image
+- Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
+- Batch Processing, process a group of files using img2img
+- Img2img Alternative, reverse Euler method of cross attention control
+- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
+- Reloading checkpoints on the fly
+- Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
+- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
+- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once
+     - separate prompts using uppercase `AND`
+     - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
+- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
+- DeepDanbooru integration, creates danbooru style tags for anime prompts
+- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
+- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
+- Generate forever option
+- Training tab
+     - hypernetworks and embeddings options
+     - Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
+- Clip skip
+- Hypernetworks
+- Loras (same as Hypernetworks but more pretty)
+- A sparate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt 
+- Can select to load a different VAE from settings screen
+- Estimated completion time in progress bar
+- API
+- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
+- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
+- [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
+- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
+- Now without any bad letters!
+- Load checkpoints in safetensors format
+- Eased resolution restriction: generated image's domension must be a multiple of 8 rather than 64
+- Now with a license!
+- Reorder elements in the UI from settings screen
+
+## Installation and Running
+Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
+
+Alternatively, use online services (like Google Colab):
+
+- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
+
+### Automatic Installation on Windows
+1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
+2. Install [git](https://git-scm.com/download/win).
+3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
+4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
+
+### Automatic Installation on Linux
+1. Install the dependencies:
+```bash
+# Debian-based:
+sudo apt install wget git python3 python3-venv
+# Red Hat-based:
+sudo dnf install wget git python3
+# Arch-based:
+sudo pacman -S wget git python3
+```
+2. Navigate to the directory you would like the webui to be installed and execute the following command:
+```bash
+bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)
+```
+3. Run `webui.sh`.
+4. Check `webui-user.sh` for options.
+### Installation on Apple Silicon
+
+Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
+
+## Contributing
+Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
+
+## Documentation
+The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
+
+## Credits
+Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
+
+- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
+- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
+- GFPGAN - https://github.com/TencentARC/GFPGAN.git
+- CodeFormer - https://github.com/sczhou/CodeFormer
+- ESRGAN - https://github.com/xinntao/ESRGAN
+- SwinIR - https://github.com/JingyunLiang/SwinIR
+- Swin2SR - https://github.com/mv-lab/swin2sr
+- LDSR - https://github.com/Hafiidz/latent-diffusion
+- MiDaS - https://github.com/isl-org/MiDaS
+- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
+- Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
+- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
+- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
+- Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
+- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
+- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
+- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
+- Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
+- xformers - https://github.com/facebookresearch/xformers
+- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
+- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
+- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
+- Security advice - RyotaK
+- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
+- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
+- (You)

cache.json

@@ -0,0 +1,8 @@
+{
+    "hashes": {
+        "checkpoint/model.ckpt": {
+            "mtime": 1683723237.3656309,
+            "sha256": "fe4efff1e174c627256e44ec2991ba279b3816e364b49f9be2abc0b3ff3f8556"
+        }
+    }
+}

config.json

@@ -0,0 +1,166 @@
+{
+    "samples_save": true,
+    "samples_format": "png",
+    "samples_filename_pattern": "",
+    "save_images_add_number": true,
+    "grid_save": true,
+    "grid_format": "png",
+    "grid_extended_filename": false,
+    "grid_only_if_multiple": true,
+    "grid_prevent_empty_spots": false,
+    "n_rows": -1,
+    "enable_pnginfo": true,
+    "save_txt": false,
+    "save_images_before_face_restoration": false,
+    "save_images_before_highres_fix": false,
+    "save_images_before_color_correction": false,
+    "save_mask": false,
+    "save_mask_composite": false,
+    "jpeg_quality": 80,
+    "webp_lossless": false,
+    "export_for_4chan": true,
+    "img_downscale_threshold": 4.0,
+    "target_side_length": 4000,
+    "img_max_size_mp": 200,
+    "use_original_name_batch": true,
+    "use_upscaler_name_as_suffix": false,
+    "save_selected_only": true,
+    "save_init_img": false,
+    "temp_dir": "",
+    "clean_temp_dir_at_start": false,
+    "outdir_samples": "",
+    "outdir_txt2img_samples": "outputs/txt2img-images",
+    "outdir_img2img_samples": "outputs/img2img-images",
+    "outdir_extras_samples": "outputs/extras-images",
+    "outdir_grids": "",
+    "outdir_txt2img_grids": "outputs/txt2img-grids",
+    "outdir_img2img_grids": "outputs/img2img-grids",
+    "outdir_save": "log/images",
+    "outdir_init_images": "outputs/init-images",
+    "save_to_dirs": true,
+    "grid_save_to_dirs": true,
+    "use_save_to_dirs_for_ui": false,
+    "directories_filename_pattern": "[date]",
+    "directories_max_prompt_words": 8,
+    "ESRGAN_tile": 192,
+    "ESRGAN_tile_overlap": 8,
+    "realesrgan_enabled_models": [
+        "R-ESRGAN 4x+",
+        "R-ESRGAN 4x+ Anime6B"
+    ],
+    "upscaler_for_img2img": null,
+    "SCUNET_tile": 256,
+    "SCUNET_tile_overlap": 8,
+    "face_restoration_model": "CodeFormer",
+    "code_former_weight": 0.5,
+    "face_restoration_unload": false,
+    "show_warnings": false,
+    "memmon_poll_rate": 8,
+    "samples_log_stdout": false,
+    "multiple_tqdm": true,
+    "print_hypernet_extra": false,
+    "unload_models_when_training": false,
+    "pin_memory": false,
+    "save_optimizer_state": false,
+    "save_training_settings_to_txt": true,
+    "dataset_filename_word_regex": "",
+    "dataset_filename_join_string": " ",
+    "training_image_repeats_per_epoch": 1,
+    "training_write_csv_every": 500,
+    "training_xattention_optimizations": false,
+    "training_enable_tensorboard": false,
+    "training_tensorboard_save_images": false,
+    "training_tensorboard_flush_every": 120,
+    "sd_model_checkpoint": null,
+    "sd_checkpoint_cache": 0,
+    "sd_vae_checkpoint_cache": 0,
+    "sd_vae": "Automatic",
+    "sd_vae_as_default": true,
+    "inpainting_mask_weight": 1.0,
+    "initial_noise_multiplier": 1.0,
+    "img2img_color_correction": false,
+    "img2img_fix_steps": false,
+    "img2img_background_color": "#ffffff",
+    "enable_quantization": false,
+    "enable_emphasis": true,
+    "enable_batch_seeds": true,
+    "comma_padding_backtrack": 20,
+    "CLIP_stop_at_last_layers": 1,
+    "upcast_attn": false,
+    "randn_source": "GPU",
+    "use_old_emphasis_implementation": false,
+    "use_old_karras_scheduler_sigmas": false,
+    "no_dpmpp_sde_batch_determinism": false,
+    "use_old_hires_fix_width_height": false,
+    "dont_fix_second_order_samplers_schedule": false,
+    "interrogate_keep_models_in_memory": false,
+    "interrogate_return_ranks": false,
+    "interrogate_clip_num_beams": 1,
+    "interrogate_clip_min_length": 24,
+    "interrogate_clip_max_length": 48,
+    "interrogate_clip_dict_limit": 1500,
+    "interrogate_clip_skip_categories": [],
+    "interrogate_deepbooru_score_threshold": 0.5,
+    "deepbooru_sort_alpha": true,
+    "deepbooru_use_spaces": false,
+    "deepbooru_escape": true,
+    "deepbooru_filter_tags": "",
+    "extra_networks_default_view": "cards",
+    "extra_networks_default_multiplier": 1.0,
+    "extra_networks_card_width": 0,
+    "extra_networks_card_height": 0,
+    "extra_networks_add_text_separator": " ",
+    "sd_hypernetwork": "None",
+    "return_grid": true,
+    "return_mask": false,
+    "return_mask_composite": false,
+    "do_not_show_images": false,
+    "add_model_hash_to_info": true,
+    "add_model_name_to_info": true,
+    "disable_weights_auto_swap": true,
+    "send_seed": true,
+    "send_size": true,
+    "font": "",
+    "js_modal_lightbox": true,
+    "js_modal_lightbox_initially_zoomed": true,
+    "show_progress_in_title": true,
+    "samplers_in_dropdown": true,
+    "dimensions_and_batch_together": true,
+    "keyedit_precision_attention": 0.1,
+    "keyedit_precision_extra": 0.05,
+    "keyedit_delimiters": ".,\\/!?%^*;:{}=`~()",
+    "quicksettings": "sd_model_checkpoint",
+    "hidden_tabs": [],
+    "ui_reorder": "inpaint, sampler, checkboxes, hires_fix, dimensions, cfg, seed, batch, override_settings, scripts",
+    "ui_extra_networks_tab_reorder": "",
+    "localization": "None",
+    "gradio_theme": "Default",
+    "show_progressbar": true,
+    "live_previews_enable": true,
+    "show_progress_grid": true,
+    "show_progress_every_n_steps": 10,
+    "show_progress_type": "Approx NN",
+    "live_preview_content": "Prompt",
+    "live_preview_refresh_period": 1000,
+    "hide_samplers": [],
+    "eta_ddim": 0.0,
+    "eta_ancestral": 1.0,
+    "ddim_discretize": "uniform",
+    "s_churn": 0.0,
+    "s_min_uncond": 0,
+    "s_tmin": 0.0,
+    "s_noise": 1.0,
+    "eta_noise_seed_delta": 0,
+    "always_discard_next_to_last_sigma": false,
+    "uni_pc_variant": "bh1",
+    "uni_pc_skip_type": "time_uniform",
+    "uni_pc_order": 3,
+    "uni_pc_lower_order_final": true,
+    "postprocessing_enable_in_main_ui": [],
+    "postprocessing_operation_order": [],
+    "upscaling_max_images_in_cache": 5,
+    "disabled_extensions": [],
+    "disable_all_extensions": "none",
+    "restore_config_state_file": "",
+    "sd_checkpoint_hash": ""
+}

environment-wsl2.yaml

@@ -0,0 +1,11 @@
+name: automatic
+channels:
+  - pytorch
+  - defaults
+dependencies:
+  - python=3.10
+  - pip=23.0
+  - cudatoolkit=11.8
+  - pytorch=2.0
+  - torchvision=0.15
+  - numpy=1.23

launch.py

@@ -0,0 +1,353 @@
+# this scripts installs necessary requirements and launches main program in webui.py
+import subprocess
+import os
+import sys
+import importlib.util
+import shlex
+import platform
+import json
+
+from modules import cmd_args
+from modules.paths_internal import script_path, extensions_dir
+
+commandline_args = os.environ.get('COMMANDLINE_ARGS', "")
+sys.argv += shlex.split(commandline_args)
+
+args, _ = cmd_args.parser.parse_known_args()
+
+python = sys.executable
+git = os.environ.get('GIT', "git")
+index_url = os.environ.get('INDEX_URL', "")
+stored_commit_hash = None
+dir_repos = "repositories"
+
+if 'GRADIO_ANALYTICS_ENABLED' not in os.environ:
+    os.environ['GRADIO_ANALYTICS_ENABLED'] = 'False'
+
+
+def check_python_version():
+    is_windows = platform.system() == "Windows"
+    major = sys.version_info.major
+    minor = sys.version_info.minor
+    micro = sys.version_info.micro
+
+    if is_windows:
+        supported_minors = [10]
+    else:
+        supported_minors = [7, 8, 9, 10, 11]
+
+    if not (major == 3 and minor in supported_minors):
+        import modules.errors
+
+        modules.errors.print_error_explanation(f"""
+INCOMPATIBLE PYTHON VERSION
+
+This program is tested with 3.10.6 Python, but you have {major}.{minor}.{micro}.
+If you encounter an error with "RuntimeError: Couldn't install torch." message,
+or any other error regarding unsuccessful package (library) installation,
+please downgrade (or upgrade) to the latest version of 3.10 Python
+and delete current Python and "venv" folder in WebUI's directory.
+
+You can download 3.10 Python from here: https://www.python.org/downloads/release/python-3106/
+
+{"Alternatively, use a binary release of WebUI: https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases" if is_windows else ""}
+
+Use --skip-python-version-check to suppress this warning.
+""")
+
+
+def commit_hash():
+    global stored_commit_hash
+
+    if stored_commit_hash is not None:
+        return stored_commit_hash
+
+    try:
+        stored_commit_hash = run(f"{git} rev-parse HEAD").strip()
+    except Exception:
+        stored_commit_hash = "<none>"
+
+    return stored_commit_hash
+
+
+def run(command, desc=None, errdesc=None, custom_env=None, live=False):
+    if desc is not None:
+        print(desc)
+
+    if live:
+        result = subprocess.run(command, shell=True, env=os.environ if custom_env is None else custom_env)
+        if result.returncode != 0:
+            raise RuntimeError(f"""{errdesc or 'Error running command'}.
+Command: {command}
+Error code: {result.returncode}""")
+
+        return ""
+
+    result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, env=os.environ if custom_env is None else custom_env)
+
+    if result.returncode != 0:
+
+        message = f"""{errdesc or 'Error running command'}.
+Command: {command}
+Error code: {result.returncode}
+stdout: {result.stdout.decode(encoding="utf8", errors="ignore") if len(result.stdout)>0 else '<empty>'}
+stderr: {result.stderr.decode(encoding="utf8", errors="ignore") if len(result.stderr)>0 else '<empty>'}
+"""
+        raise RuntimeError(message)
+
+    return result.stdout.decode(encoding="utf8", errors="ignore")
+
+
+def check_run(command):
+    result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
+    return result.returncode == 0
+
+
+def is_installed(package):
+    try:
+        spec = importlib.util.find_spec(package)
+    except ModuleNotFoundError:
+        return False
+
+    return spec is not None
+
+
+def repo_dir(name):
+    return os.path.join(script_path, dir_repos, name)
+
+
+def run_python(code, desc=None, errdesc=None):
+    return run(f'"{python}" -c "{code}"', desc, errdesc)
+
+
+def run_pip(command, desc=None, live=False):
+    if args.skip_install:
+        return
+
+    index_url_line = f' --index-url {index_url}' if index_url != '' else ''
+    return run(f'"{python}" -m pip {command} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live)
+
+
+def check_run_python(code):
+    return check_run(f'"{python}" -c "{code}"')
+
+
+def git_clone(url, dir, name, commithash=None):
+    # TODO clone into temporary dir and move if successful
+
+    if os.path.exists(dir):
+        if commithash is None:
+            return
+
+        current_hash = run(f'"{git}" -C "{dir}" rev-parse HEAD', None, f"Couldn't determine {name}'s hash: {commithash}").strip()
+        if current_hash == commithash:
+            return
+
+        run(f'"{git}" -C "{dir}" fetch', f"Fetching updates for {name}...", f"Couldn't fetch {name}")
+        run(f'"{git}" -C "{dir}" checkout {commithash}', f"Checking out commit for {name} with hash: {commithash}...", f"Couldn't checkout commit {commithash} for {name}")
+        return
+
+    run(f'"{git}" clone "{url}" "{dir}"', f"Cloning {name} into {dir}...", f"Couldn't clone {name}")
+
+    if commithash is not None:
+        run(f'"{git}" -C "{dir}" checkout {commithash}', None, "Couldn't checkout {name}'s hash: {commithash}")
+
+
+def git_pull_recursive(dir):
+    for subdir, _, _ in os.walk(dir):
+        if os.path.exists(os.path.join(subdir, '.git')):
+            try:
+                output = subprocess.check_output([git, '-C', subdir, 'pull', '--autostash'])
+                print(f"Pulled changes for repository in '{subdir}':\n{output.decode('utf-8').strip()}\n")
+            except subprocess.CalledProcessError as e:
+                print(f"Couldn't perform 'git pull' on repository in '{subdir}':\n{e.output.decode('utf-8').strip()}\n")
+
+
+def version_check(commit):
+    try:
+        import requests
+        commits = requests.get('https://api.github.com/repos/AUTOMATIC1111/stable-diffusion-webui/branches/master').json()
+        if commit != "<none>" and commits['commit']['sha'] != commit:
+            print("--------------------------------------------------------")
+            print("| You are not up to date with the most recent release. |")
+            print("| Consider running `git pull` to update.               |")
+            print("--------------------------------------------------------")
+        elif commits['commit']['sha'] == commit:
+            print("You are up to date with the most recent release.")
+        else:
+            print("Not a git clone, can't perform version check.")
+    except Exception as e:
+        print("version check failed", e)
+
+
+def run_extension_installer(extension_dir):
+    path_installer = os.path.join(extension_dir, "install.py")
+    if not os.path.isfile(path_installer):
+        return
+
+    try:
+        env = os.environ.copy()
+        env['PYTHONPATH'] = os.path.abspath(".")
+
+        print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
+    except Exception as e:
+        print(e, file=sys.stderr)
+
+
+def list_extensions(settings_file):
+    settings = {}
+
+    try:
+        if os.path.isfile(settings_file):
+            with open(settings_file, "r", encoding="utf8") as file:
+                settings = json.load(file)
+    except Exception as e:
+        print(e, file=sys.stderr)
+
+    disabled_extensions = set(settings.get('disabled_extensions', []))
+    disable_all_extensions = settings.get('disable_all_extensions', 'none')
+
+    if disable_all_extensions != 'none':
+        return []
+
+    return [x for x in os.listdir(extensions_dir) if x not in disabled_extensions]
+
+
+def run_extensions_installers(settings_file):
+    if not os.path.isdir(extensions_dir):
+        return
+
+    for dirname_extension in list_extensions(settings_file):
+        run_extension_installer(os.path.join(extensions_dir, dirname_extension))
+
+
+def prepare_environment():
+    torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==2.0.0 torchvision==0.15.1 --extra-index-url https://download.pytorch.org/whl/cu118")
+    requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
+
+    xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.17')
+    gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")
+    clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1")
+    openclip_package = os.environ.get('OPENCLIP_PACKAGE', "git+https://github.com/mlfoundations/open_clip.git@bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b")
+
+    stable_diffusion_repo = os.environ.get('STABLE_DIFFUSION_REPO', "https://github.com/Stability-AI/stablediffusion.git")
+    taming_transformers_repo = os.environ.get('TAMING_TRANSFORMERS_REPO', "https://github.com/CompVis/taming-transformers.git")
+    k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://github.com/crowsonkb/k-diffusion.git')
+    codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
+    blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
+
+    stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf")
+    taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
+    k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "5b3af030dd83e0297272d861c19477735d0317ec")
+    codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
+    blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
+
+    if not args.skip_python_version_check:
+        check_python_version()
+
+    commit = commit_hash()
+
+    print(f"Python {sys.version}")
+    print(f"Commit hash: {commit}")
+
+    if args.reinstall_torch or not is_installed("torch") or not is_installed("torchvision"):
+        run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)
+
+    if not args.skip_torch_cuda_test:
+        run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")
+
+    if not is_installed("gfpgan"):
+        run_pip(f"install {gfpgan_package}", "gfpgan")
+
+    if not is_installed("clip"):
+        run_pip(f"install {clip_package}", "clip")
+
+    if not is_installed("open_clip"):
+        run_pip(f"install {openclip_package}", "open_clip")
+
+    if (not is_installed("xformers") or args.reinstall_xformers) and args.xformers:
+        if platform.system() == "Windows":
+            if platform.python_version().startswith("3.10"):
+                run_pip(f"install -U -I --no-deps {xformers_package}", "xformers", live=True)
+            else:
+                print("Installation of xformers is not supported in this version of Python.")
+                print("You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
+                if not is_installed("xformers"):
+                    exit(0)
+        elif platform.system() == "Linux":
+            run_pip(f"install {xformers_package}", "xformers")
+
+    if not is_installed("pyngrok") and args.ngrok:
+        run_pip("install pyngrok", "ngrok")
+
+    os.makedirs(os.path.join(script_path, dir_repos), exist_ok=True)
+
+    git_clone(stable_diffusion_repo, repo_dir('stable-diffusion-stability-ai'), "Stable Diffusion", stable_diffusion_commit_hash)
+    git_clone(taming_transformers_repo, repo_dir('taming-transformers'), "Taming Transformers", taming_transformers_commit_hash)
+    git_clone(k_diffusion_repo, repo_dir('k-diffusion'), "K-diffusion", k_diffusion_commit_hash)
+    git_clone(codeformer_repo, repo_dir('CodeFormer'), "CodeFormer", codeformer_commit_hash)
+    git_clone(blip_repo, repo_dir('BLIP'), "BLIP", blip_commit_hash)
+
+    if not is_installed("lpips"):
+        run_pip(f"install -r \"{os.path.join(repo_dir('CodeFormer'), 'requirements.txt')}\"", "requirements for CodeFormer")
+
+    if not os.path.isfile(requirements_file):
+        requirements_file = os.path.join(script_path, requirements_file)
+    run_pip(f"install -r \"{requirements_file}\"", "requirements")
+
+    run_extensions_installers(settings_file=args.ui_settings_file)
+
+    if args.update_check:
+        version_check(commit)
+
+    if args.update_all_extensions:
+        git_pull_recursive(extensions_dir)
+    
+    if "--exit" in sys.argv:
+        print("Exiting because of --exit argument")
+        exit(0)
+
+    if args.tests and not args.no_tests:
+        exitcode = tests(args.tests)
+        exit(exitcode)
+
+
+def tests(test_dir):
+    if "--api" not in sys.argv:
+        sys.argv.append("--api")
+    if "--ckpt" not in sys.argv:
+        sys.argv.append("--ckpt")
+        sys.argv.append(os.path.join(script_path, "test/test_files/empty.pt"))
+    if "--skip-torch-cuda-test" not in sys.argv:
+        sys.argv.append("--skip-torch-cuda-test")
+    if "--disable-nan-check" not in sys.argv:
+        sys.argv.append("--disable-nan-check")
+    if "--no-tests" not in sys.argv:
+        sys.argv.append("--no-tests")
+
+    print(f"Launching Web UI in another process for testing with arguments: {' '.join(sys.argv[1:])}")
+
+    os.environ['COMMANDLINE_ARGS'] = ""
+    with open(os.path.join(script_path, 'test/stdout.txt'), "w", encoding="utf8") as stdout, open(os.path.join(script_path, 'test/stderr.txt'), "w", encoding="utf8") as stderr:
+        proc = subprocess.Popen([sys.executable, *sys.argv], stdout=stdout, stderr=stderr)
+
+    import test.server_poll
+    exitcode = test.server_poll.run_tests(proc, test_dir)
+
+    print(f"Stopping Web UI process with id {proc.pid}")
+    proc.kill()
+    return exitcode
+
+
+def start():
+    print(f"Launching {'API server' if '--nowebui' in sys.argv else 'Web UI'} with arguments: {' '.join(sys.argv[1:])}")
+    import webui
+    if '--nowebui' in sys.argv:
+        webui.api_only()
+    else:
+        webui.webui()
+
+
+if __name__ == "__main__":
+    prepare_environment()
+    start()

params.txt

@@ -0,0 +1,2 @@
+basketball
+Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2605222558, Size: 512x512, Model hash: fe4efff1e1, Model: model

requirements.txt

@@ -0,0 +1,33 @@
+astunparse
+blendmodes
+accelerate
+basicsr
+fonts
+font-roboto
+gfpgan
+gradio==3.28.1
+numpy
+omegaconf
+opencv-contrib-python
+requests
+piexif
+Pillow
+pytorch_lightning==1.7.7
+realesrgan
+scikit-image>=0.19
+timm==0.4.12
+transformers==4.25.1
+torch
+einops
+jsonmerge
+clean-fid
+resize-right
+torchdiffeq
+kornia
+lark
+inflection
+GitPython
+torchsde
+safetensors
+psutil
+rich

requirements_versions.txt

@@ -0,0 +1,30 @@
+blendmodes==2022
+transformers==4.25.1
+accelerate==0.18.0
+basicsr==1.4.2
+gfpgan==1.3.8
+gradio==3.28.1
+numpy==1.23.5
+Pillow==9.4.0
+realesrgan==0.3.0
+torch
+omegaconf==2.2.3
+pytorch_lightning==1.9.4
+scikit-image==0.19.2
+fonts
+font-roboto
+timm==0.6.7
+piexif==1.1.3
+einops==0.4.1
+jsonmerge==1.8.0
+clean-fid==0.1.29
+resize-right==0.0.2
+torchdiffeq==0.2.3
+kornia==0.6.7
+lark==1.1.2
+inflection==0.5.1
+GitPython==3.1.30
+torchsde==0.2.5
+safetensors==0.3.1
+httpcore<=0.15
+fastapi==0.94.0

script.js

@@ -0,0 +1,104 @@
+function gradioApp() {
+    const elems = document.getElementsByTagName('gradio-app')
+    const elem = elems.length == 0 ? document : elems[0]
+
+    if (elem !== document) elem.getElementById = function(id){ return document.getElementById(id) }
+    return elem.shadowRoot ? elem.shadowRoot : elem
+}
+
+function get_uiCurrentTab() {
+    return gradioApp().querySelector('#tabs button.selected')
+}
+
+function get_uiCurrentTabContent() {
+    return gradioApp().querySelector('.tabitem[id^=tab_]:not([style*="display: none"])')
+}
+
+uiUpdateCallbacks = []
+uiLoadedCallbacks = []
+uiTabChangeCallbacks = []
+optionsChangedCallbacks = []
+let uiCurrentTab = null
+
+function onUiUpdate(callback){
+    uiUpdateCallbacks.push(callback)
+}
+function onUiLoaded(callback){
+    uiLoadedCallbacks.push(callback)
+}
+function onUiTabChange(callback){
+    uiTabChangeCallbacks.push(callback)
+}
+function onOptionsChanged(callback){
+    optionsChangedCallbacks.push(callback)
+}
+
+function runCallback(x, m){
+    try {
+        x(m)
+    } catch (e) {
+        (console.error || console.log).call(console, e.message, e);
+    }
+}
+function executeCallbacks(queue, m) {
+    queue.forEach(function(x){runCallback(x, m)})
+}
+
+var executedOnLoaded = false;
+
+document.addEventListener("DOMContentLoaded", function() {
+    var mutationObserver = new MutationObserver(function(m){
+        if(!executedOnLoaded && gradioApp().querySelector('#txt2img_prompt')){
+            executedOnLoaded = true;
+            executeCallbacks(uiLoadedCallbacks);
+        }
+
+        executeCallbacks(uiUpdateCallbacks, m);
+        const newTab = get_uiCurrentTab();
+        if ( newTab && ( newTab !== uiCurrentTab ) ) {
+            uiCurrentTab = newTab;
+            executeCallbacks(uiTabChangeCallbacks);
+        }
+    });
+    mutationObserver.observe( gradioApp(), { childList:true, subtree:true })
+});
+
+/**
+ * Add a ctrl+enter as a shortcut to start a generation
+ */
+document.addEventListener('keydown', function(e) {
+    var handled = false;
+    if (e.key !== undefined) {
+        if((e.key == "Enter" && (e.metaKey || e.ctrlKey || e.altKey))) handled = true;
+    } else if (e.keyCode !== undefined) {
+        if((e.keyCode == 13 && (e.metaKey || e.ctrlKey || e.altKey))) handled = true;
+    }
+    if (handled) {
+        button = get_uiCurrentTabContent().querySelector('button[id$=_generate]');
+        if (button) {
+            button.click();
+        }
+        e.preventDefault();
+    }
+})
+
+/**
+ * checks that a UI element is not in another hidden element or tab content
+ */
+function uiElementIsVisible(el) {
+    let isVisible = !el.closest('.\\!hidden');
+    if ( ! isVisible ) {
+        return false;
+    }
+
+    while( isVisible = el.closest('.tabitem')?.style.display !== 'none' ) {
+        if ( ! isVisible ) {
+            return false;
+        } else if ( el.parentElement ) {
+            el = el.parentElement
+        } else {
+            break;
+        }
+    }
+    return isVisible;
+}

style.css

@@ -0,0 +1,859 @@
+
+/* general gradio fixes */
+
+:root, .dark{
+    --checkbox-label-gap: 0.25em 0.1em;
+    --section-header-text-size: 12pt;
+    --block-background-fill: transparent;
+}
+
+.block.padded:not(.gradio-accordion) {
+    padding: 0 !important;
+}
+
+div.gradio-container{
+    max-width: unset !important;
+}
+
+.hidden{
+    display: none;
+}
+
+.compact{
+    background: transparent !important;
+    padding: 0 !important;
+}
+
+div.form{
+    border-width: 0;
+    box-shadow: none;
+    background: transparent;
+    overflow: visible;
+    gap: 0.5em;
+}
+
+.block.gradio-dropdown,
+.block.gradio-slider,
+.block.gradio-checkbox,
+.block.gradio-textbox,
+.block.gradio-radio,
+.block.gradio-checkboxgroup,
+.block.gradio-number,
+.block.gradio-colorpicker
+{
+    border-width: 0 !important;
+    box-shadow: none !important;
+}
+
+.gap.compact{
+    padding: 0;
+    gap: 0.2em 0;
+}
+
+div.compact{
+    gap: 1em;
+}
+
+.gradio-dropdown label span:not(.has-info),
+.gradio-textbox label span:not(.has-info),
+.gradio-number label span:not(.has-info)
+{
+    margin-bottom: 0;
+}
+
+.gradio-dropdown ul.options{
+    z-index: 3000;
+    min-width: fit-content;
+    max-width: inherit;
+    white-space: nowrap;
+}
+
+.gradio-dropdown ul.options li.item {
+    padding: 0.05em 0;
+}
+
+.gradio-dropdown ul.options li.item.selected {
+    background-color: var(--neutral-100);
+}
+
+.dark .gradio-dropdown ul.options li.item.selected {
+    background-color: var(--neutral-900);
+}
+
+.gradio-dropdown div.wrap.wrap.wrap.wrap{
+    box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);
+}
+
+.gradio-dropdown:not(.multiselect) .wrap-inner.wrap-inner.wrap-inner{
+    flex-wrap: unset;
+}
+
+.gradio-dropdown .single-select{
+    white-space: nowrap;
+    overflow: hidden;
+}
+
+.gradio-dropdown .token-remove.remove-all.remove-all{
+    display: none;
+}
+
+.gradio-dropdown.multiselect .token-remove.remove-all.remove-all{
+    display: flex;
+}
+
+.gradio-slider input[type="number"]{
+    width: 6em;
+}
+
+.block.gradio-checkbox {
+    margin: 0.75em 1.5em 0 0;
+}
+
+.gradio-html div.wrap{
+    height: 100%;
+}
+div.gradio-html.min{
+    min-height: 0;
+}
+
+.block.gradio-gallery{
+    background: var(--input-background-fill);
+}
+
+.gradio-container .prose a, .gradio-container .prose a:visited{
+    color: unset;
+    text-decoration: none;
+}
+
+
+
+/* general styled components */
+
+.gradio-button.tool{
+    max-width: 2.2em;
+    min-width: 2.2em !important;
+    height: 2.4em;
+    align-self: end;
+    line-height: 1em;
+    border-radius: 0.5em;
+}
+
+.gradio-button.secondary-down{
+    background: var(--button-secondary-background-fill);
+    color: var(--button-secondary-text-color);
+}
+.gradio-button.secondary-down, .gradio-button.secondary-down:hover{
+    box-shadow: 1px 1px 1px rgba(0,0,0,0.25) inset, 0px 0px 3px rgba(0,0,0,0.15) inset;
+}
+.gradio-button.secondary-down:hover{
+    background: var(--button-secondary-background-fill-hover);
+    color: var(--button-secondary-text-color-hover);
+}
+
+.checkboxes-row{
+    margin-bottom: 0.5em;
+    margin-left: 0em;
+}
+.checkboxes-row > div{
+    flex: 0;
+    white-space: nowrap;
+    min-width: auto;
+}
+
+button.custom-button{
+    border-radius: var(--button-large-radius);
+    padding: var(--button-large-padding);
+    font-weight: var(--button-large-text-weight);
+    border: var(--button-border-width) solid var(--button-secondary-border-color);
+    background: var(--button-secondary-background-fill);
+    color: var(--button-secondary-text-color);
+    font-size: var(--button-large-text-size);
+    display: inline-flex;
+    justify-content: center;
+    align-items: center;
+    transition: var(--button-transition);
+    box-shadow: var(--button-shadow);
+    text-align: center;
+}
+
+
+/* txt2img/img2img specific */
+
+.block.token-counter{
+    position: absolute;
+    display: inline-block;
+    right: 1em;
+    min-width: 0 !important;
+    width: auto;
+    z-index: 100;
+    top: -0.75em;
+}
+
+.block.token-counter span{
+    background: var(--input-background-fill) !important;
+    box-shadow: 0 0 0.0 0.3em rgba(192,192,192,0.15), inset 0 0 0.6em rgba(192,192,192,0.075);
+    border: 2px solid rgba(192,192,192,0.4) !important;
+    border-radius: 0.4em;
+}
+
+.block.token-counter.error span{
+    box-shadow: 0 0 0.0 0.3em rgba(255,0,0,0.15), inset 0 0 0.6em rgba(255,0,0,0.075);
+    border: 2px solid rgba(255,0,0,0.4) !important;
+}
+
+.block.token-counter div{
+    display: inline;
+}
+
+.block.token-counter span{
+    padding: 0.1em 0.75em;
+}
+
+[id$=_subseed_show]{
+    min-width: auto !important;
+    flex-grow: 0 !important;
+    display: flex;
+}
+
+[id$=_subseed_show] label{
+    margin-bottom: 0.5em;
+    align-self: end;
+}
+
+.performance {
+    font-size: 0.85em;
+    color: #444;
+}
+
+.performance p{
+    display: inline-block;
+}
+
+.performance .time {
+    margin-right: 0;
+}
+
+.performance .vram {
+}
+
+#txt2img_generate, #img2img_generate {
+    min-height: 4.5em;
+}
+
+@media screen and (min-width: 2500px) {
+    #txt2img_gallery, #img2img_gallery {
+        min-height: 768px;
+    }
+}
+
+#txt2img_gallery img, #img2img_gallery img{
+    object-fit: scale-down;
+}
+#txt2img_actions_column, #img2img_actions_column {
+    gap: 0.5em;
+}
+#txt2img_tools, #img2img_tools{
+    gap: 0.4em;
+}
+
+.interrogate-col{
+    min-width: 0 !important;
+    max-width: fit-content;
+    gap: 0.5em;
+}
+.interrogate-col > button{
+    flex: 1;
+}
+
+.generate-box{
+    position: relative;
+}
+.gradio-button.generate-box-skip, .gradio-button.generate-box-interrupt{
+    position: absolute;
+    width: 50%;
+    height: 100%;
+    display: none;
+    background: #b4c0cc;
+}
+.gradio-button.generate-box-skip:hover, .gradio-button.generate-box-interrupt:hover{
+    background: #c2cfdb;
+}
+.gradio-button.generate-box-interrupt{
+    left: 0;
+    border-radius: 0.5rem 0 0 0.5rem;
+}
+.gradio-button.generate-box-skip{
+    right: 0;
+    border-radius: 0 0.5rem 0.5rem 0;
+}
+
+#txtimg_hr_finalres{
+    min-height: 0 !important;
+    padding: .625rem .75rem;
+    margin-left: -0.75em
+}
+
+#img2img_scale_resolution_preview.block{
+    display: flex;
+    align-items: end;
+}
+
+#txtimg_hr_finalres .resolution, #img2img_scale_resolution_preview .resolution{
+    font-weight: bold;
+}
+
+.inactive{
+    opacity: 0.5;
+}
+
+[id$=_column_batch]{
+    min-width: min(13.5em, 100%) !important;
+}
+
+div.dimensions-tools{
+    min-width: 0 !important;
+    max-width: fit-content;
+    flex-direction: row;
+    align-content: center;
+}
+
+div#extras_scale_to_tab div.form{
+    flex-direction: row;
+}
+
+#mode_img2img .gradio-image > div.fixed-height, #mode_img2img .gradio-image > div.fixed-height img{
+    height: 480px !important;
+    max-height: 480px !important;
+    min-height: 480px !important;
+}
+
+#img2img_sketch, #img2maskimg, #inpaint_sketch {
+    overflow: overlay !important;
+    resize: auto;
+    background: var(--panel-background-fill);
+    z-index: 5;
+}
+
+.image-buttons button{
+    min-width: auto;
+}
+
+.infotext {
+    overflow-wrap: break-word;
+}
+
+#img2img_column_batch{
+    align-self: end;
+    margin-bottom: 0.9em;
+}
+
+#img2img_unused_scale_by_slider{
+    visibility: hidden;
+    width: 0.5em;
+    max-width: 0.5em;
+    min-width: 0.5em;
+}
+
+/* settings */
+#quicksettings {
+    width: fit-content;
+    align-items: end;
+}
+
+#quicksettings > div, #quicksettings > fieldset{
+    max-width: 24em;
+    min-width: 24em;
+    padding: 0;
+    border: none;
+    box-shadow: none;
+    background: none;
+}
+
+#settings{
+    display: block;
+}
+
+#settings > div{
+    border: none;
+    margin-left: 10em;
+}
+
+#settings > div.tab-nav{
+    float: left;
+    display: block;
+    margin-left: 0;
+    width: 10em;
+}
+
+#settings > div.tab-nav button{
+    display: block;
+    border: none;
+    text-align: left;
+    white-space: initial;
+}
+
+#settings_result{
+    height: 1.4em;
+    margin: 0 1.2em;
+}
+
+
+/* live preview */
+.progressDiv{
+    position: relative;
+    height: 20px;
+    background: #b4c0cc;
+    border-radius: 3px !important;
+    margin-bottom: -3px;
+}
+
+.dark .progressDiv{
+    background: #424c5b;
+}
+
+.progressDiv .progress{
+    width: 0%;
+    height: 20px;
+    background: #0060df;
+    color: white;
+    font-weight: bold;
+    line-height: 20px;
+    padding: 0 8px 0 0;
+    text-align: right;
+    border-radius: 3px;
+    overflow: visible;
+    white-space: nowrap;
+    padding: 0 0.5em;
+}
+
+.livePreview{
+    position: absolute;
+    z-index: 300;
+    background-color: white;
+    margin: -4px;
+}
+
+.dark .livePreview{
+    background-color: rgb(17 24 39 / var(--tw-bg-opacity));
+}
+
+.livePreview img{
+    position: absolute;
+    object-fit: contain;
+    width: 100%;
+    height: 100%;
+}
+
+/* fullscreen popup (ie in Lora's (i) button) */
+
+.popup-metadata{
+    color: black;
+    background: white;
+    display: inline-block;
+    padding: 1em;
+    white-space: pre-wrap;
+}
+
+.global-popup{
+    display: flex;
+    position: fixed;
+    z-index: 1001;
+    left: 0;
+    top: 0;
+    width: 100%;
+    height: 100%;
+    overflow: auto;
+    background-color: rgba(20, 20, 20, 0.95);
+}
+
+
+.global-popup-close:before {
+    content: "×";
+}
+
+.global-popup-close{
+    position: fixed;
+    right: 0.25em;
+    top: 0;
+    cursor: pointer;
+    color: white;
+    font-size: 32pt;
+}
+
+.global-popup-inner{
+    display: inline-block;
+    margin: auto;
+    padding: 2em;
+}
+
+/* fullpage image viewer */
+
+#lightboxModal{
+    display: none;
+    position: fixed;
+    z-index: 1001;
+    left: 0;
+    top: 0;
+    width: 100%;
+    height: 100%;
+    overflow: auto;
+    background-color: rgba(20, 20, 20, 0.95);
+    user-select: none;
+    -webkit-user-select: none;
+    flex-direction: column;
+}
+
+.modalControls {
+    display: flex;
+    gap: 1em;
+    padding: 1em;
+    background-color: rgba(0,0,0,0.2);
+}
+.modalClose {
+    margin-left: auto;
+}
+.modalControls span{
+    color: white;
+    font-size: 35px;
+    font-weight: bold;
+    cursor: pointer;
+    width: 1em;
+}
+
+.modalControls span:hover, .modalControls span:focus{
+    color: #999;
+    text-decoration: none;
+}
+
+#lightboxModal > img {
+    display: block;
+    margin: auto;
+    width: auto;
+}
+
+#lightboxModal > img.modalImageFullscreen{
+    object-fit: contain;
+    height: 100%;
+}
+
+.modalPrev,
+.modalNext {
+  cursor: pointer;
+  position: absolute;
+  top: 50%;
+  width: auto;
+  padding: 16px;
+  margin-top: -50px;
+  color: white;
+  font-weight: bold;
+  font-size: 20px;
+  transition: 0.6s ease;
+  border-radius: 0 3px 3px 0;
+  user-select: none;
+  -webkit-user-select: none;
+}
+
+.modalNext {
+  right: 0;
+  border-radius: 3px 0 0 3px;
+}
+
+.modalPrev:hover,
+.modalNext:hover {
+  background-color: rgba(0, 0, 0, 0.8);
+}
+
+#imageARPreview {
+    position: absolute;
+    top: 0px;
+    left: 0px;
+    border: 2px solid red;
+    background: rgba(255, 0, 0, 0.3);
+    z-index: 900;
+    pointer-events: none;
+    display: none;
+}
+
+/* context menu (ie for the generate button) */
+
+#context-menu{
+    z-index:9999;
+    position:absolute;
+    display:block;
+    padding:0px 0;
+    border:2px solid #a55000;
+    border-radius:8px;
+    box-shadow:1px 1px 2px #CE6400;
+    width: 200px;
+}
+
+.context-menu-items{
+    list-style: none;
+    margin: 0;
+    padding: 0;
+}
+
+.context-menu-items a{
+    display:block;
+    padding:5px;
+    cursor:pointer;
+}
+
+.context-menu-items a:hover{
+    background: #a55000;
+}
+
+
+/* extensions */
+
+#tab_extensions table{
+    border-collapse: collapse;
+}
+
+#tab_extensions table td, #tab_extensions table th{
+    border: 1px solid #ccc;
+    padding: 0.25em 0.5em;
+}
+
+#tab_extensions table input[type="checkbox"]{
+    margin-right: 0.5em;
+    appearance: checkbox;
+}
+
+#tab_extensions button{
+    max-width: 16em;
+}
+
+#tab_extensions input[disabled="disabled"]{
+    opacity: 0.5;
+}
+
+.extension-tag{
+    font-weight: bold;
+    font-size: 95%;
+}
+
+#available_extensions .info{
+    margin: 0;
+}
+
+#available_extensions .date_added{
+    opacity: 0.85;
+    font-size: 90%;
+}
+
+/* replace original footer with ours */
+
+footer {
+    display: none !important;
+}
+
+#footer{
+    text-align: center;
+}
+
+#footer div{
+    display: inline-block;
+}
+
+#footer .versions{
+    font-size: 85%;
+    opacity: 0.85;
+}
+
+/* extra networks UI */
+
+.extra-network-cards{
+    height: 725px;
+    overflow: scroll;
+    resize: vertical;
+}
+
+.extra-networks > div > [id *= '_extra_']{
+    margin: 0.3em;
+}
+
+.extra-network-subdirs{
+    padding: 0.2em 0.35em;
+}
+
+.extra-network-subdirs button{
+    margin: 0 0.15em;
+}
+.extra-networks .tab-nav .search{
+    display: inline-block;
+    max-width: 16em;
+    margin: 0.3em;
+    align-self: center;
+    width: 16em;
+}
+
+#txt2img_extra_view, #img2img_extra_view {
+    width: auto;
+}
+
+.extra-network-cards .nocards, .extra-network-thumbs .nocards{
+    margin: 1.25em 0.5em 0.5em 0.5em;
+}
+
+.extra-network-cards .nocards h1, .extra-network-thumbs .nocards h1{
+    font-size: 1.5em;
+    margin-bottom: 1em;
+}
+
+.extra-network-cards .nocards li, .extra-network-thumbs .nocards li{
+    margin-left: 0.5em;
+}
+
+
+.extra-network-cards .card .metadata-button:before, .extra-network-thumbs .card .metadata-button:before{
+    content: "🛈";
+}
+.extra-network-cards .card .metadata-button, .extra-network-thumbs .card .metadata-button{
+    display: none;
+    position: absolute;
+    right: 0;
+    color: white;
+    text-shadow: 2px 2px 3px black;
+    padding: 0.25em;
+    font-size: 22pt;
+    width: 1.5em;
+}
+.extra-network-cards .card:hover .metadata-button, .extra-network-thumbs .card:hover .metadata-button{
+    display: inline-block;
+}
+.extra-network-cards .card .metadata-button:hover, .extra-network-thumbs .card .metadata-button:hover{
+    color: red;
+}
+
+
+.extra-network-thumbs {
+    display: flex;
+    flex-flow: row wrap;
+    gap: 10px;
+}
+
+.extra-network-thumbs .card {
+    height: 6em;
+    width: 6em;
+    cursor: pointer;
+    background-image: url('./file=html/card-no-preview.png');
+    background-size: cover;
+    background-position: center center;
+    position: relative;
+}
+
+.extra-network-thumbs .card:hover .additional a {
+    display: inline-block;
+}
+
+.extra-network-thumbs .actions .additional a {
+    background-image: url('./file=html/image-update.svg');
+    background-repeat: no-repeat;
+    background-size: cover;
+    background-position: center center;
+    position: absolute;
+    top: 0;
+    left: 0;
+    width: 24px;
+    height: 24px;
+    display: none;
+    font-size: 0;
+    text-align: -9999;
+}
+
+.extra-network-thumbs .actions .name {
+    position: absolute;
+    bottom: 0;
+    font-size: 10px;
+    padding: 3px;
+    width: 100%;
+    overflow: hidden;
+    white-space: nowrap;
+    text-overflow: ellipsis;
+    background: rgba(0,0,0,.5);
+    color: white;
+}
+
+.extra-network-thumbs .card:hover .actions .name {
+    white-space: normal;
+    word-break: break-all;
+}
+
+.extra-network-cards .card{
+    display: inline-block;
+    margin: 0.5em;
+    width: 16em;
+    height: 24em;
+    box-shadow: 0 0 5px rgba(128, 128, 128, 0.5);
+    border-radius: 0.2em;
+    position: relative;
+
+    background-size: auto 100%;
+    background-position: center;
+    overflow: hidden;
+    cursor: pointer;
+
+    background-image: url('./file=html/card-no-preview.png')
+}
+
+.extra-network-cards .card:hover{
+    box-shadow: 0 0 2px 0.3em rgba(0, 128, 255, 0.35);
+}
+
+.extra-network-cards .card .actions .additional{
+    display: none;
+}
+
+.extra-network-cards .card .actions{
+    position: absolute;
+    bottom: 0;
+    left: 0;
+    right: 0;
+    padding: 0.5em;
+    background: rgba(0,0,0,0.5);
+    box-shadow: 0 0 0.25em 0.25em rgba(0,0,0,0.5);
+    text-shadow: 0 0 0.2em black;
+}
+
+.extra-network-cards .card .actions *{
+    color: white;
+}
+
+.extra-network-cards .card .actions:hover{
+    box-shadow: 0 0 0.75em 0.75em rgba(0,0,0,0.5) !important;
+}
+
+.extra-network-cards .card .actions .name{
+    font-size: 1.7em;
+    font-weight: bold;
+    line-break: anywhere;
+}
+
+.extra-network-cards .card .actions .description {
+    display: block;
+    max-height: 3em;
+    white-space: pre-wrap;
+    line-height: 1.1;
+}
+
+.extra-network-cards .card .actions .description:hover {
+    max-height: none;
+}
+
+.extra-network-cards .card .actions:hover .additional{
+    display: block;
+}
+
+.extra-network-cards .card ul{
+    margin: 0.25em 0 0.75em 0.25em;
+    cursor: unset;
+}
+
+.extra-network-cards .card ul a{
+    cursor: pointer;
+}
+
+.extra-network-cards .card ul a:hover{
+    color: red;
+}

ui-config.json

@@ -0,0 +1,623 @@
+{
+    "txt2img/Prompt/visible": true,
+    "txt2img/Prompt/value": "",
+    "txt2img/Negative prompt/visible": true,
+    "txt2img/Negative prompt/value": "",
+    "txt2img/Styles/visible": true,
+    "txt2img/Styles/value": [],
+    "txt2img/Tabs@txt2img_extra_tabs/selected": null,
+    "txt2img/Sampling method/visible": true,
+    "txt2img/Sampling method/value": "Euler a",
+    "txt2img/Sampling steps/visible": true,
+    "txt2img/Sampling steps/value": 20,
+    "txt2img/Sampling steps/minimum": 1,
+    "txt2img/Sampling steps/maximum": 150,
+    "txt2img/Sampling steps/step": 1,
+    "txt2img/Restore faces/visible": true,
+    "txt2img/Restore faces/value": false,
+    "txt2img/Tiling/visible": true,
+    "txt2img/Tiling/value": false,
+    "txt2img/Hires. fix/visible": true,
+    "txt2img/Hires. fix/value": false,
+    "txt2img/Upscaler/visible": true,
+    "txt2img/Upscaler/value": "Latent",
+    "txt2img/Hires steps/visible": true,
+    "txt2img/Hires steps/value": 0,
+    "txt2img/Hires steps/minimum": 0,
+    "txt2img/Hires steps/maximum": 150,
+    "txt2img/Hires steps/step": 1,
+    "txt2img/Denoising strength/visible": true,
+    "txt2img/Denoising strength/value": 0.7,
+    "txt2img/Denoising strength/minimum": 0.0,
+    "txt2img/Denoising strength/maximum": 1.0,
+    "txt2img/Denoising strength/step": 0.01,
+    "txt2img/Upscale by/visible": true,
+    "txt2img/Upscale by/value": 2.0,
+    "txt2img/Upscale by/minimum": 1.0,
+    "txt2img/Upscale by/maximum": 4.0,
+    "txt2img/Upscale by/step": 0.05,
+    "txt2img/Resize width to/visible": true,
+    "txt2img/Resize width to/value": 0,
+    "txt2img/Resize width to/minimum": 0,
+    "txt2img/Resize width to/maximum": 2048,
+    "txt2img/Resize width to/step": 8,
+    "txt2img/Resize height to/visible": true,
+    "txt2img/Resize height to/value": 0,
+    "txt2img/Resize height to/minimum": 0,
+    "txt2img/Resize height to/maximum": 2048,
+    "txt2img/Resize height to/step": 8,
+    "txt2img/Width/visible": true,
+    "txt2img/Width/value": 512,
+    "txt2img/Width/minimum": 64,
+    "txt2img/Width/maximum": 2048,
+    "txt2img/Width/step": 8,
+    "txt2img/Height/visible": true,
+    "txt2img/Height/value": 512,
+    "txt2img/Height/minimum": 64,
+    "txt2img/Height/maximum": 2048,
+    "txt2img/Height/step": 8,
+    "txt2img/Switch dims/visible": true,
+    "txt2img/Batch count/visible": true,
+    "txt2img/Batch count/value": 1,
+    "txt2img/Batch count/minimum": 1,
+    "txt2img/Batch count/maximum": 100,
+    "txt2img/Batch count/step": 1,
+    "txt2img/Batch size/visible": true,
+    "txt2img/Batch size/value": 1,
+    "txt2img/Batch size/minimum": 1,
+    "txt2img/Batch size/maximum": 8,
+    "txt2img/Batch size/step": 1,
+    "txt2img/CFG Scale/visible": true,
+    "txt2img/CFG Scale/value": 7.0,
+    "txt2img/CFG Scale/minimum": 1.0,
+    "txt2img/CFG Scale/maximum": 30.0,
+    "txt2img/CFG Scale/step": 0.5,
+    "txt2img/Seed/visible": true,
+    "txt2img/Seed/value": -1.0,
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+    "txt2img/Reuse seed/visible": true,
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+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/value": 0.0,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/minimum": 0.0,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/maximum": 1.0,
+    "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/step": 0.001,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/visible": true,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/value": 0,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/minimum": 0.0,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/maximum": 1.0,
+    "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/step": 0.001,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/visible": true,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/value": 0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/minimum": 0.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/maximum": 1.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/step": 0.001,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": true,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0,
+    "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001,
+    "modelmerger/Primary model (A)/visible": true,
+    "modelmerger/Primary model (A)/value": null,
+    "modelmerger/Secondary model (B)/visible": true,
+    "modelmerger/Secondary model (B)/value": null,
+    "modelmerger/Tertiary model (C)/visible": true,
+    "modelmerger/Tertiary model (C)/value": null,
+    "modelmerger/Custom Name (Optional)/visible": true,
+    "modelmerger/Custom Name (Optional)/value": "",
+    "modelmerger/Multiplier (M) - set to 0 to get model A/visible": true,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/value": 0.3,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/minimum": 0.0,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/maximum": 1.0,
+    "modelmerger/Multiplier (M) - set to 0 to get model A/step": 0.05,
+    "modelmerger/Interpolation Method/visible": true,
+    "modelmerger/Interpolation Method/value": "Weighted sum",
+    "modelmerger/Checkpoint format/visible": true,
+    "modelmerger/Checkpoint format/value": "safetensors",
+    "modelmerger/Save as float16/visible": true,
+    "modelmerger/Save as float16/value": false,
+    "modelmerger/Save metadata (.safetensors only)/visible": true,
+    "modelmerger/Save metadata (.safetensors only)/value": true,
+    "modelmerger/Copy config from/visible": true,
+    "modelmerger/Copy config from/value": "A, B or C",
+    "modelmerger/Bake in VAE/visible": true,
+    "modelmerger/Bake in VAE/value": "None",
+    "modelmerger/Discard weights with matching name/visible": true,
+    "modelmerger/Discard weights with matching name/value": "",
+    "train/Tabs@train_tabs/selected": null,
+    "train/Name/visible": true,
+    "train/Name/value": "",
+    "train/Initialization text/visible": true,
+    "train/Initialization text/value": "*",
+    "train/Number of vectors per token/visible": true,
+    "train/Number of vectors per token/value": 1,
+    "train/Number of vectors per token/minimum": 1,
+    "train/Number of vectors per token/maximum": 75,
+    "train/Number of vectors per token/step": 1,
+    "train/Overwrite Old Embedding/visible": true,
+    "train/Overwrite Old Embedding/value": false,
+    "train/Enter hypernetwork layer structure/visible": true,
+    "train/Enter hypernetwork layer structure/value": "1, 2, 1",
+    "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/visible": true,
+    "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/value": "linear",
+    "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/visible": true,
+    "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/value": "Normal",
+    "train/Add layer normalization/visible": true,
+    "train/Add layer normalization/value": false,
+    "train/Use dropout/visible": true,
+    "train/Use dropout/value": false,
+    "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/visible": true,
+    "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/value": "0, 0, 0",
+    "train/Overwrite Old Hypernetwork/visible": true,
+    "train/Overwrite Old Hypernetwork/value": false,
+    "train/Source directory/visible": true,
+    "train/Source directory/value": "",
+    "train/Destination directory/visible": true,
+    "train/Destination directory/value": "",
+    "train/Width/visible": true,
+    "train/Width/value": 512,
+    "train/Width/minimum": 64,
+    "train/Width/maximum": 2048,
+    "train/Width/step": 8,
+    "train/Height/visible": true,
+    "train/Height/value": 512,
+    "train/Height/minimum": 64,
+    "train/Height/maximum": 2048,
+    "train/Height/step": 8,
+    "train/Existing Caption txt Action/visible": true,
+    "train/Existing Caption txt Action/value": "ignore",
+    "train/Keep original size/visible": true,
+    "train/Keep original size/value": false,
+    "train/Create flipped copies/visible": true,
+    "train/Create flipped copies/value": false,
+    "train/Split oversized images/visible": true,
+    "train/Split oversized images/value": false,
+    "train/Auto focal point crop/visible": true,
+    "train/Auto focal point crop/value": false,
+    "train/Auto-sized crop/visible": true,
+    "train/Auto-sized crop/value": false,
+    "train/Use BLIP for caption/visible": true,
+    "train/Use BLIP for caption/value": false,
+    "train/Use deepbooru for caption/visible": true,
+    "train/Use deepbooru for caption/value": false,
+    "train/Split image threshold/visible": true,
+    "train/Split image threshold/value": 0.5,
+    "train/Split image threshold/minimum": 0.0,
+    "train/Split image threshold/maximum": 1.0,
+    "train/Split image threshold/step": 0.05,
+    "train/Split image overlap ratio/visible": true,
+    "train/Split image overlap ratio/value": 0.2,
+    "train/Split image overlap ratio/minimum": 0.0,
+    "train/Split image overlap ratio/maximum": 0.9,
+    "train/Split image overlap ratio/step": 0.05,
+    "train/Focal point face weight/visible": true,
+    "train/Focal point face weight/value": 0.9,
+    "train/Focal point face weight/minimum": 0.0,
+    "train/Focal point face weight/maximum": 1.0,
+    "train/Focal point face weight/step": 0.05,
+    "train/Focal point entropy weight/visible": true,
+    "train/Focal point entropy weight/value": 0.15,
+    "train/Focal point entropy weight/minimum": 0.0,
+    "train/Focal point entropy weight/maximum": 1.0,
+    "train/Focal point entropy weight/step": 0.05,
+    "train/Focal point edges weight/visible": true,
+    "train/Focal point edges weight/value": 0.5,
+    "train/Focal point edges weight/minimum": 0.0,
+    "train/Focal point edges weight/maximum": 1.0,
+    "train/Focal point edges weight/step": 0.05,
+    "train/Create debug image/visible": true,
+    "train/Create debug image/value": false,
+    "train/Dimension lower bound/visible": true,
+    "train/Dimension lower bound/value": 384,
+    "train/Dimension lower bound/minimum": 64,
+    "train/Dimension lower bound/maximum": 2048,
+    "train/Dimension lower bound/step": 8,
+    "train/Dimension upper bound/visible": true,
+    "train/Dimension upper bound/value": 768,
+    "train/Dimension upper bound/minimum": 64,
+    "train/Dimension upper bound/maximum": 2048,
+    "train/Dimension upper bound/step": 8,
+    "train/Area lower bound/visible": true,
+    "train/Area lower bound/value": 4096,
+    "train/Area lower bound/minimum": 4096,
+    "train/Area lower bound/maximum": 4194304,
+    "train/Area lower bound/step": 1,
+    "train/Area upper bound/visible": true,
+    "train/Area upper bound/value": 409600,
+    "train/Area upper bound/minimum": 4096,
+    "train/Area upper bound/maximum": 4194304,
+    "train/Area upper bound/step": 1,
+    "train/Resizing objective/visible": true,
+    "train/Resizing objective/value": "Maximize area",
+    "train/Error threshold/visible": true,
+    "train/Error threshold/value": 0.1,
+    "train/Error threshold/minimum": 0,
+    "train/Error threshold/maximum": 1,
+    "train/Error threshold/step": 0.01,
+    "train/Embedding/visible": true,
+    "train/Embedding/value": null,
+    "train/Hypernetwork/visible": true,
+    "train/Hypernetwork/value": null,
+    "train/Embedding Learning rate/visible": true,
+    "train/Embedding Learning rate/value": "0.005",
+    "train/Hypernetwork Learning rate/visible": true,
+    "train/Hypernetwork Learning rate/value": "0.00001",
+    "train/Gradient Clipping/visible": true,
+    "train/Gradient Clipping/value": "disabled",
+    "train/Batch size/visible": true,
+    "train/Batch size/value": 1,
+    "train/Gradient accumulation steps/visible": true,
+    "train/Gradient accumulation steps/value": 1,
+    "train/Dataset directory/visible": true,
+    "train/Dataset directory/value": "",
+    "train/Log directory/visible": true,
+    "train/Log directory/value": "textual_inversion",
+    "train/Prompt template/visible": true,
+    "train/Prompt template/value": "style_filewords.txt",
+    "train/Do not resize images/visible": true,
+    "train/Do not resize images/value": false,
+    "train/Max steps/visible": true,
+    "train/Max steps/value": 100000,
+    "train/Save an image to log directory every N steps, 0 to disable/visible": true,
+    "train/Save an image to log directory every N steps, 0 to disable/value": 500,
+    "train/Save a copy of embedding to log directory every N steps, 0 to disable/visible": true,
+    "train/Save a copy of embedding to log directory every N steps, 0 to disable/value": 500,
+    "train/Use PNG alpha channel as loss weight/visible": true,
+    "train/Use PNG alpha channel as loss weight/value": false,
+    "train/Save images with embedding in PNG chunks/visible": true,
+    "train/Save images with embedding in PNG chunks/value": true,
+    "train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible": true,
+    "train/Read parameters (prompt, etc...) from txt2img tab when making previews/value": false,
+    "train/Shuffle tags by ',' when creating prompts./visible": true,
+    "train/Shuffle tags by ',' when creating prompts./value": false,
+    "train/Drop out tags when creating prompts./visible": true,
+    "train/Drop out tags when creating prompts./value": 0,
+    "train/Drop out tags when creating prompts./minimum": 0,
+    "train/Drop out tags when creating prompts./maximum": 1,
+    "train/Drop out tags when creating prompts./step": 0.1,
+    "train/Choose latent sampling method/visible": true,
+    "train/Choose latent sampling method/value": "once",
+    "webui/Tabs@tabs/selected": null
+}

webui-macos-env.sh

@@ -0,0 +1,19 @@
+#!/bin/bash
+####################################################################
+#                          macOS defaults                          #
+# Please modify webui-user.sh to change these instead of this file #
+####################################################################
+
+if [[ -x "$(command -v python3.10)" ]]
+then
+    python_cmd="python3.10"
+fi
+
+export install_dir="$HOME"
+export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"
+export TORCH_COMMAND="pip install torch torchvision"
+export K_DIFFUSION_REPO="https://github.com/brkirch/k-diffusion.git"
+export K_DIFFUSION_COMMIT_HASH="51c9778f269cedb55a4d88c79c0246d35bdadb71"
+export PYTORCH_ENABLE_MPS_FALLBACK=1
+
+####################################################################

webui-user.bat

@@ -0,0 +1,10 @@
+@echo off
+
+set PYTHON=
+set GIT=
+set VENV_DIR=
+set COMMANDLINE_ARGS=--share "--lowvram" "--precision" "full" "--no-half" "--skip-torch-cuda-test"
+
+
+
+call webui.bat

webui-user.sh

@@ -0,0 +1,49 @@
+#!/bin/bash
+#########################################################
+# Uncomment and change the variables below to your need:#
+#########################################################
+
+# Install directory without trailing slash
+#install_dir="/home/$(whoami)"
+
+# Name of the subdirectory
+#clone_dir="stable-diffusion-webui"
+
+# Commandline arguments for webui.py, for example: export COMMANDLINE_ARGS="--medvram --opt-split-attention"
+#export COMMANDLINE_ARGS=""
+
+# python3 executable
+#python_cmd="python3"
+
+# git executable
+#export GIT="git"
+
+# python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
+#venv_dir="venv"
+
+# script to launch to start the app
+#export LAUNCH_SCRIPT="launch.py"
+
+# install command for torch
+#export TORCH_COMMAND="pip install torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113"
+
+# Requirements file to use for stable-diffusion-webui
+#export REQS_FILE="requirements_versions.txt"
+
+# Fixed git repos
+#export K_DIFFUSION_PACKAGE=""
+#export GFPGAN_PACKAGE=""
+
+# Fixed git commits
+#export STABLE_DIFFUSION_COMMIT_HASH=""
+#export TAMING_TRANSFORMERS_COMMIT_HASH=""
+#export CODEFORMER_COMMIT_HASH=""
+#export BLIP_COMMIT_HASH=""
+
+# Uncomment to enable accelerated launch
+#export ACCELERATE="True"
+
+# Uncomment to disable TCMalloc
+#export NO_TCMALLOC="True"
+
+###########################################

webui.bat

@@ -0,0 +1,85 @@
+@echo off
+
+if not defined PYTHON (set PYTHON=python)
+if not defined VENV_DIR (set "VENV_DIR=%~dp0%venv")
+
+
+set ERROR_REPORTING=FALSE
+
+mkdir tmp 2>NUL
+
+%PYTHON% -c "" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :check_pip
+echo Couldn't launch python
+goto :show_stdout_stderr
+
+:check_pip
+%PYTHON% -mpip --help >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :start_venv
+if "%PIP_INSTALLER_LOCATION%" == "" goto :show_stdout_stderr
+%PYTHON% "%PIP_INSTALLER_LOCATION%" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :start_venv
+echo Couldn't install pip
+goto :show_stdout_stderr
+
+:start_venv
+if ["%VENV_DIR%"] == ["-"] goto :skip_venv
+if ["%SKIP_VENV%"] == ["1"] goto :skip_venv
+
+dir "%VENV_DIR%\Scripts\Python.exe" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+
+for /f "delims=" %%i in ('CALL %PYTHON% -c "import sys; print(sys.executable)"') do set PYTHON_FULLNAME="%%i"
+echo Creating venv in directory %VENV_DIR% using python %PYTHON_FULLNAME%
+%PYTHON_FULLNAME% -m venv "%VENV_DIR%" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+echo Unable to create venv in directory "%VENV_DIR%"
+goto :show_stdout_stderr
+
+:activate_venv
+set PYTHON="%VENV_DIR%\Scripts\Python.exe"
+echo venv %PYTHON%
+
+:skip_venv
+if [%ACCELERATE%] == ["True"] goto :accelerate
+goto :launch
+
+:accelerate
+echo Checking for accelerate
+set ACCELERATE="%VENV_DIR%\Scripts\accelerate.exe"
+if EXIST %ACCELERATE% goto :accelerate_launch
+
+:launch
+%PYTHON% launch.py %*
+pause
+exit /b
+
+:accelerate_launch
+echo Accelerating
+%ACCELERATE% launch --num_cpu_threads_per_process=6 launch.py
+pause
+exit /b
+
+:show_stdout_stderr
+
+echo.
+echo exit code: %errorlevel%
+
+for /f %%i in ("tmp\stdout.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stdout:
+type tmp\stdout.txt
+
+:show_stderr
+for /f %%i in ("tmp\stderr.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stderr:
+type tmp\stderr.txt
+
+:endofscript
+
+echo.
+echo Launch unsuccessful. Exiting.
+pause

webui.py

@@ -0,0 +1,413 @@
+import os
+import sys
+import time
+import importlib
+import signal
+import re
+import warnings
+import json
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.middleware.gzip import GZipMiddleware
+from packaging import version
+
+import logging
+logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
+
+from modules import paths, timer, import_hook, errors
+
+startup_timer = timer.Timer()
+
+import torch
+import pytorch_lightning # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
+warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
+warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
+
+
+startup_timer.record("import torch")
+
+import gradio
+startup_timer.record("import gradio")
+
+import ldm.modules.encoders.modules
+startup_timer.record("import ldm")
+
+from modules import extra_networks, ui_extra_networks_checkpoints
+from modules import extra_networks_hypernet, ui_extra_networks_hypernets, ui_extra_networks_textual_inversion
+from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call
+
+# Truncate version number of nightly/local build of PyTorch to not cause exceptions with CodeFormer or Safetensors
+if ".dev" in torch.__version__ or "+git" in torch.__version__:
+    torch.__long_version__ = torch.__version__
+    torch.__version__ = re.search(r'[\d.]+[\d]', torch.__version__).group(0)
+
+from modules import shared, devices, sd_samplers, upscaler, extensions, localization, ui_tempdir, ui_extra_networks, config_states
+import modules.codeformer_model as codeformer
+import modules.face_restoration
+import modules.gfpgan_model as gfpgan
+import modules.img2img
+
+import modules.lowvram
+import modules.scripts
+import modules.sd_hijack
+import modules.sd_models
+import modules.sd_vae
+import modules.txt2img
+import modules.script_callbacks
+import modules.textual_inversion.textual_inversion
+import modules.progress
+
+import modules.ui
+from modules import modelloader
+from modules.shared import cmd_opts
+import modules.hypernetworks.hypernetwork
+
+startup_timer.record("other imports")
+
+
+if cmd_opts.server_name:
+    server_name = cmd_opts.server_name
+else:
+    server_name = "0.0.0.0" if cmd_opts.listen else None
+
+
+def fix_asyncio_event_loop_policy():
+    """
+        The default `asyncio` event loop policy only automatically creates
+        event loops in the main threads. Other threads must create event
+        loops explicitly or `asyncio.get_event_loop` (and therefore
+        `.IOLoop.current`) will fail. Installing this policy allows event
+        loops to be created automatically on any thread, matching the
+        behavior of Tornado versions prior to 5.0 (or 5.0 on Python 2).
+    """
+
+    import asyncio
+
+    if sys.platform == "win32" and hasattr(asyncio, "WindowsSelectorEventLoopPolicy"):
+        # "Any thread" and "selector" should be orthogonal, but there's not a clean
+        # interface for composing policies so pick the right base.
+        _BasePolicy = asyncio.WindowsSelectorEventLoopPolicy  # type: ignore
+    else:
+        _BasePolicy = asyncio.DefaultEventLoopPolicy
+
+    class AnyThreadEventLoopPolicy(_BasePolicy):  # type: ignore
+        """Event loop policy that allows loop creation on any thread.
+        Usage::
+
+            asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
+        """
+
+        def get_event_loop(self) -> asyncio.AbstractEventLoop:
+            try:
+                return super().get_event_loop()
+            except (RuntimeError, AssertionError):
+                # This was an AssertionError in python 3.4.2 (which ships with debian jessie)
+                # and changed to a RuntimeError in 3.4.3.
+                # "There is no current event loop in thread %r"
+                loop = self.new_event_loop()
+                self.set_event_loop(loop)
+                return loop
+
+    asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
+
+
+def check_versions():
+    if shared.cmd_opts.skip_version_check:
+        return
+
+    expected_torch_version = "2.0.0"
+
+    if version.parse(torch.__version__) < version.parse(expected_torch_version):
+        errors.print_error_explanation(f"""
+You are running torch {torch.__version__}.
+The program is tested to work with torch {expected_torch_version}.
+To reinstall the desired version, run with commandline flag --reinstall-torch.
+Beware that this will cause a lot of large files to be downloaded, as well as
+there are reports of issues with training tab on the latest version.
+
+Use --skip-version-check commandline argument to disable this check.
+        """.strip())
+
+    expected_xformers_version = "0.0.17"
+    if shared.xformers_available:
+        import xformers
+
+        if version.parse(xformers.__version__) < version.parse(expected_xformers_version):
+            errors.print_error_explanation(f"""
+You are running xformers {xformers.__version__}.
+The program is tested to work with xformers {expected_xformers_version}.
+To reinstall the desired version, run with commandline flag --reinstall-xformers.
+
+Use --skip-version-check commandline argument to disable this check.
+            """.strip())
+
+
+def initialize():
+    fix_asyncio_event_loop_policy()
+
+    check_versions()
+
+    extensions.list_extensions()
+    localization.list_localizations(cmd_opts.localizations_dir)
+    startup_timer.record("list extensions")
+
+    config_state_file = shared.opts.restore_config_state_file
+    shared.opts.restore_config_state_file = ""
+    shared.opts.save(shared.config_filename)
+
+    if os.path.isfile(config_state_file):
+        print(f"*** About to restore extension state from file: {config_state_file}")
+        with open(config_state_file, "r", encoding="utf-8") as f:
+            config_state = json.load(f)
+            config_states.restore_extension_config(config_state)
+        startup_timer.record("restore extension config")
+    elif config_state_file:
+        print(f"!!! Config state backup not found: {config_state_file}")
+
+    if cmd_opts.ui_debug_mode:
+        shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
+        modules.scripts.load_scripts()
+        return
+
+    modelloader.cleanup_models()
+    modules.sd_models.setup_model()
+    startup_timer.record("list SD models")
+
+    codeformer.setup_model(cmd_opts.codeformer_models_path)
+    startup_timer.record("setup codeformer")
+
+    gfpgan.setup_model(cmd_opts.gfpgan_models_path)
+    startup_timer.record("setup gfpgan")
+
+    modelloader.list_builtin_upscalers()
+    startup_timer.record("list builtin upscalers")
+
+    modules.scripts.load_scripts()
+    startup_timer.record("load scripts")
+
+    modules.sd_vae.refresh_vae_list()
+    startup_timer.record("refresh VAE")
+
+    modules.textual_inversion.textual_inversion.list_textual_inversion_templates()
+    startup_timer.record("refresh textual inversion templates")
+
+    try:
+        modules.sd_models.load_model()
+    except Exception as e:
+        errors.display(e, "loading stable diffusion model")
+        print("", file=sys.stderr)
+        print("Stable diffusion model failed to load, exiting", file=sys.stderr)
+        exit(1)
+    startup_timer.record("load SD checkpoint")
+
+    shared.opts.data["sd_model_checkpoint"] = shared.sd_model.sd_checkpoint_info.title
+
+    shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))
+    shared.opts.onchange("sd_vae", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
+    shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
+    shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)
+    shared.opts.onchange("gradio_theme", shared.reload_gradio_theme)
+    startup_timer.record("opts onchange")
+
+    shared.reload_hypernetworks()
+    startup_timer.record("reload hypernets")
+
+    ui_extra_networks.intialize()
+    ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
+    ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
+    ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())
+
+    extra_networks.initialize()
+    extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())
+    startup_timer.record("extra networks")
+
+    if cmd_opts.tls_keyfile is not None and cmd_opts.tls_keyfile is not None:
+
+        try:
+            if not os.path.exists(cmd_opts.tls_keyfile):
+                print("Invalid path to TLS keyfile given")
+            if not os.path.exists(cmd_opts.tls_certfile):
+                print(f"Invalid path to TLS certfile: '{cmd_opts.tls_certfile}'")
+        except TypeError:
+            cmd_opts.tls_keyfile = cmd_opts.tls_certfile = None
+            print("TLS setup invalid, running webui without TLS")
+        else:
+            print("Running with TLS")
+        startup_timer.record("TLS")
+
+    # make the program just exit at ctrl+c without waiting for anything
+    def sigint_handler(sig, frame):
+        print(f'Interrupted with signal {sig} in {frame}')
+        os._exit(0)
+
+    signal.signal(signal.SIGINT, sigint_handler)
+
+
+def setup_middleware(app):
+    app.middleware_stack = None # reset current middleware to allow modifying user provided list
+    app.add_middleware(GZipMiddleware, minimum_size=1000)
+    if cmd_opts.cors_allow_origins and cmd_opts.cors_allow_origins_regex:
+        app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
+    elif cmd_opts.cors_allow_origins:
+        app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
+    elif cmd_opts.cors_allow_origins_regex:
+        app.add_middleware(CORSMiddleware, allow_origin_regex=cmd_opts.cors_allow_origins_regex, allow_methods=['*'], allow_credentials=True, allow_headers=['*'])
+    app.build_middleware_stack() # rebuild middleware stack on-the-fly
+
+
+def create_api(app):
+    from modules.api.api import Api
+    api = Api(app, queue_lock)
+    return api
+
+
+def wait_on_server(demo=None):
+    while 1:
+        time.sleep(0.5)
+        if shared.state.need_restart:
+            shared.state.need_restart = False
+            time.sleep(0.5)
+            demo.close()
+            time.sleep(0.5)
+
+            modules.script_callbacks.app_reload_callback()
+            break
+
+
+def api_only():
+    initialize()
+
+    app = FastAPI()
+    setup_middleware(app)
+    api = create_api(app)
+
+    modules.script_callbacks.app_started_callback(None, app)
+
+    print(f"Startup time: {startup_timer.summary()}.")
+    api.launch(server_name="0.0.0.0" if cmd_opts.listen else "127.0.0.1", port=cmd_opts.port if cmd_opts.port else 7861)
+
+
+def webui():
+    launch_api = cmd_opts.api
+    initialize()
+
+    while 1:
+        if shared.opts.clean_temp_dir_at_start:
+            ui_tempdir.cleanup_tmpdr()
+            startup_timer.record("cleanup temp dir")
+
+        modules.script_callbacks.before_ui_callback()
+        startup_timer.record("scripts before_ui_callback")
+
+        shared.demo = modules.ui.create_ui()
+        startup_timer.record("create ui")
+
+        if not cmd_opts.no_gradio_queue:
+            shared.demo.queue(64)
+
+        gradio_auth_creds = []
+        if cmd_opts.gradio_auth:
+            gradio_auth_creds += [x.strip() for x in cmd_opts.gradio_auth.strip('"').replace('\n', '').split(',') if x.strip()]
+        if cmd_opts.gradio_auth_path:
+            with open(cmd_opts.gradio_auth_path, 'r', encoding="utf8") as file:
+                for line in file.readlines():
+                    gradio_auth_creds += [x.strip() for x in line.split(',') if x.strip()]
+
+        app, local_url, share_url = shared.demo.launch(
+            share=cmd_opts.share,
+            server_name=server_name,
+            server_port=cmd_opts.port,
+            ssl_keyfile=cmd_opts.tls_keyfile,
+            ssl_certfile=cmd_opts.tls_certfile,
+            ssl_verify=cmd_opts.disable_tls_verify,
+            debug=cmd_opts.gradio_debug,
+            auth=[tuple(cred.split(':')) for cred in gradio_auth_creds] if gradio_auth_creds else None,
+            inbrowser=cmd_opts.autolaunch,
+            prevent_thread_lock=True
+        )
+        # after initial launch, disable --autolaunch for subsequent restarts
+        cmd_opts.autolaunch = False
+
+        startup_timer.record("gradio launch")
+
+        # gradio uses a very open CORS policy via app.user_middleware, which makes it possible for
+        # an attacker to trick the user into opening a malicious HTML page, which makes a request to the
+        # running web ui and do whatever the attacker wants, including installing an extension and
+        # running its code. We disable this here. Suggested by RyotaK.
+        app.user_middleware = [x for x in app.user_middleware if x.cls.__name__ != 'CORSMiddleware']
+
+        setup_middleware(app)
+
+        modules.progress.setup_progress_api(app)
+
+        if launch_api:
+            create_api(app)
+
+        ui_extra_networks.add_pages_to_demo(app)
+
+        modules.script_callbacks.app_started_callback(shared.demo, app)
+        startup_timer.record("scripts app_started_callback")
+
+        print(f"Startup time: {startup_timer.summary()}.")
+
+        wait_on_server(shared.demo)
+        print('Restarting UI...')
+
+        startup_timer.reset()
+
+        sd_samplers.set_samplers()
+
+        modules.script_callbacks.script_unloaded_callback()
+        extensions.list_extensions()
+        startup_timer.record("list extensions")
+
+        config_state_file = shared.opts.restore_config_state_file
+        shared.opts.restore_config_state_file = ""
+        shared.opts.save(shared.config_filename)
+
+        if os.path.isfile(config_state_file):
+            print(f"*** About to restore extension state from file: {config_state_file}")
+            with open(config_state_file, "r", encoding="utf-8") as f:
+                config_state = json.load(f)
+                config_states.restore_extension_config(config_state)
+            startup_timer.record("restore extension config")
+        elif config_state_file:
+            print(f"!!! Config state backup not found: {config_state_file}")
+
+        localization.list_localizations(cmd_opts.localizations_dir)
+
+        modelloader.forbid_loaded_nonbuiltin_upscalers()
+        modules.scripts.reload_scripts()
+        startup_timer.record("load scripts")
+
+        modules.script_callbacks.model_loaded_callback(shared.sd_model)
+        startup_timer.record("model loaded callback")
+
+        modelloader.load_upscalers()
+        startup_timer.record("load upscalers")
+
+        for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
+            importlib.reload(module)
+        startup_timer.record("reload script modules")
+
+        modules.sd_models.list_models()
+        startup_timer.record("list SD models")
+
+        shared.reload_hypernetworks()
+        startup_timer.record("reload hypernetworks")
+
+        ui_extra_networks.intialize()
+        ui_extra_networks.register_page(ui_extra_networks_textual_inversion.ExtraNetworksPageTextualInversion())
+        ui_extra_networks.register_page(ui_extra_networks_hypernets.ExtraNetworksPageHypernetworks())
+        ui_extra_networks.register_page(ui_extra_networks_checkpoints.ExtraNetworksPageCheckpoints())
+
+        extra_networks.initialize()
+        extra_networks.register_extra_network(extra_networks_hypernet.ExtraNetworkHypernet())
+        startup_timer.record("initialize extra networks")
+
+
+if __name__ == "__main__":
+    if cmd_opts.nowebui:
+        api_only()
+    else:
+        webui()

webui.sh

@@ -0,0 +1,202 @@
+#!/usr/bin/env bash
+#################################################
+# Please do not make any changes to this file,  #
+# change the variables in webui-user.sh instead #
+#################################################
+
+# If run from macOS, load defaults from webui-macos-env.sh
+if [[ "$OSTYPE" == "darwin"* ]]; then
+    if [[ -f webui-macos-env.sh ]]
+        then
+        source ./webui-macos-env.sh
+    fi
+fi
+
+# Read variables from webui-user.sh
+# shellcheck source=/dev/null
+if [[ -f webui-user.sh ]]
+then
+    source ./webui-user.sh
+fi
+
+# Set defaults
+# Install directory without trailing slash
+if [[ -z "${install_dir}" ]]
+then
+    install_dir="$(pwd)"
+fi
+
+# Name of the subdirectory (defaults to stable-diffusion-webui)
+if [[ -z "${clone_dir}" ]]
+then
+    clone_dir="stable-diffusion-webui"
+fi
+
+# python3 executable
+if [[ -z "${python_cmd}" ]]
+then
+    python_cmd="python3"
+fi
+
+# git executable
+if [[ -z "${GIT}" ]]
+then
+    export GIT="git"
+fi
+
+# python3 venv without trailing slash (defaults to ${install_dir}/${clone_dir}/venv)
+if [[ -z "${venv_dir}" ]]
+then
+    venv_dir="venv"
+fi
+
+if [[ -z "${LAUNCH_SCRIPT}" ]]
+then
+    LAUNCH_SCRIPT="launch.py"
+fi
+
+# this script cannot be run as root by default
+can_run_as_root=0
+
+# read any command line flags to the webui.sh script
+while getopts "f" flag > /dev/null 2>&1
+do
+    case ${flag} in
+        f) can_run_as_root=1;;
+        *) break;;
+    esac
+done
+
+# Disable sentry logging
+export ERROR_REPORTING=FALSE
+
+# Do not reinstall existing pip packages on Debian/Ubuntu
+export PIP_IGNORE_INSTALLED=0
+
+# Pretty print
+delimiter="################################################################"
+
+printf "\n%s\n" "${delimiter}"
+printf "\e[1m\e[32mInstall script for stable-diffusion + Web UI\n"
+printf "\e[1m\e[34mTested on Debian 11 (Bullseye)\e[0m"
+printf "\n%s\n" "${delimiter}"
+
+# Do not run as root
+if [[ $(id -u) -eq 0 && can_run_as_root -eq 0 ]]
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "\e[1m\e[31mERROR: This script must not be launched as root, aborting...\e[0m"
+    printf "\n%s\n" "${delimiter}"
+    exit 1
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "Running on \e[1m\e[32m%s\e[0m user" "$(whoami)"
+    printf "\n%s\n" "${delimiter}"
+fi
+
+if [[ -d .git ]]
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "Repo already cloned, using it as install directory"
+    printf "\n%s\n" "${delimiter}"
+    install_dir="${PWD}/../"
+    clone_dir="${PWD##*/}"
+fi
+
+# Check prerequisites
+gpu_info=$(lspci 2>/dev/null | grep VGA)
+case "$gpu_info" in
+    *"Navi 1"*|*"Navi 2"*) export HSA_OVERRIDE_GFX_VERSION=10.3.0
+    ;;
+    *"Renoir"*) export HSA_OVERRIDE_GFX_VERSION=9.0.0
+        printf "\n%s\n" "${delimiter}"
+        printf "Experimental support for Renoir: make sure to have at least 4GB of VRAM and 10GB of RAM or enable cpu mode: --use-cpu all --no-half"
+        printf "\n%s\n" "${delimiter}"
+    ;;
+    *)
+    ;;
+esac
+if echo "$gpu_info" | grep -q "AMD" && [[ -z "${TORCH_COMMAND}" ]]
+then
+    # AMD users will still use torch 1.13 because 2.0 does not seem to work.
+    export TORCH_COMMAND="pip install torch==1.13.1+rocm5.2 torchvision==0.14.1+rocm5.2 --index-url https://download.pytorch.org/whl/rocm5.2"
+fi  
+
+for preq in "${GIT}" "${python_cmd}"
+do
+    if ! hash "${preq}" &>/dev/null
+    then
+        printf "\n%s\n" "${delimiter}"
+        printf "\e[1m\e[31mERROR: %s is not installed, aborting...\e[0m" "${preq}"
+        printf "\n%s\n" "${delimiter}"
+        exit 1
+    fi
+done
+
+if ! "${python_cmd}" -c "import venv" &>/dev/null
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "\e[1m\e[31mERROR: python3-venv is not installed, aborting...\e[0m"
+    printf "\n%s\n" "${delimiter}"
+    exit 1
+fi
+
+cd "${install_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/, aborting...\e[0m" "${install_dir}"; exit 1; }
+if [[ -d "${clone_dir}" ]]
+then
+    cd "${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "Clone stable-diffusion-webui"
+    printf "\n%s\n" "${delimiter}"
+    "${GIT}" clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git "${clone_dir}"
+    cd "${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
+fi
+
+printf "\n%s\n" "${delimiter}"
+printf "Create and activate python venv"
+printf "\n%s\n" "${delimiter}"
+cd "${install_dir}"/"${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
+if [[ ! -d "${venv_dir}" ]]
+then
+    "${python_cmd}" -m venv "${venv_dir}"
+    first_launch=1
+fi
+# shellcheck source=/dev/null
+if [[ -f "${venv_dir}"/bin/activate ]]
+then
+    source "${venv_dir}"/bin/activate
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "\e[1m\e[31mERROR: Cannot activate python venv, aborting...\e[0m"
+    printf "\n%s\n" "${delimiter}"
+    exit 1
+fi
+
+# Try using TCMalloc on Linux
+prepare_tcmalloc() {
+    if [[ "${OSTYPE}" == "linux"* ]] && [[ -z "${NO_TCMALLOC}" ]] && [[ -z "${LD_PRELOAD}" ]]; then
+        TCMALLOC="$(ldconfig -p | grep -Po "libtcmalloc.so.\d" | head -n 1)"
+        if [[ ! -z "${TCMALLOC}" ]]; then
+            echo "Using TCMalloc: ${TCMALLOC}"
+            export LD_PRELOAD="${TCMALLOC}"
+        else
+            printf "\e[1m\e[31mCannot locate TCMalloc (improves CPU memory usage)\e[0m\n"
+        fi
+    fi
+}
+
+if [[ ! -z "${ACCELERATE}" ]] && [ ${ACCELERATE}="True" ] && [ -x "$(command -v accelerate)" ]
+then
+    printf "\n%s\n" "${delimiter}"
+    printf "Accelerating launch.py..."
+    printf "\n%s\n" "${delimiter}"
+    prepare_tcmalloc
+    exec accelerate launch --num_cpu_threads_per_process=6 "${LAUNCH_SCRIPT}" "$@"
+else
+    printf "\n%s\n" "${delimiter}"
+    printf "Launching launch.py..."
+    printf "\n%s\n" "${delimiter}"
+    prepare_tcmalloc
+    exec "${python_cmd}" "${LAUNCH_SCRIPT}" "$@"
+fi