End of training
Browse files- README.md +80 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scaler.pt +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/dreambooth-sd3-lora/1737352384.094905/events.out.tfevents.1737352384.aigpu08012.2434174.1 +3 -0
- logs/dreambooth-sd3-lora/1737352384.1098394/hparams.yml +76 -0
- logs/dreambooth-sd3-lora/1737352717.1932657/events.out.tfevents.1737352717.aigpu08012.2457521.1 +3 -0
- logs/dreambooth-sd3-lora/1737352717.2039165/hparams.yml +76 -0
- logs/dreambooth-sd3-lora/events.out.tfevents.1737352384.aigpu08012.2434174.0 +3 -0
- logs/dreambooth-sd3-lora/events.out.tfevents.1737352717.aigpu08012.2457521.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-3.5-large
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library_name: diffusers
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license: other
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instance_prompt: high quality photo of an asian jshj baby, head shot, closed eyes,
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plain cream beanie, plain cream swaddle
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widget: []
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tags:
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- template:sd-lora
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- sd3.5-large
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- sd3.5
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- sd3.5-diffusers
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# SD3.5-Large DreamBooth LoRA - cwhuh/babyface_v1
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<Gallery />
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## Model description
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These are cwhuh/babyface_v1 DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-large.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).
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Was LoRA for the text encoder enabled? False.
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## Trigger words
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You should use `high quality photo of an asian jshj baby, head shot, closed eyes, plain cream beanie, plain cream swaddle` to trigger the image generation.
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## Download model
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[Download the *.safetensors LoRA](cwhuh/babyface_v1/tree/main) in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3.5-large, torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('cwhuh/babyface_v1', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('high quality photo of an asian jshj baby, head shot, closed eyes, plain cream beanie, plain cream swaddle').images[0]
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```
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/cwhuh/babyface_v1/blob/main/diffusers_lora_weights.safetensors)**.
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- Rename it and place it on your `models/Lora` folder.
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- On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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## License
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Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md).
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.0001
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adam_weight_decay_text_encoder: 0.001
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allow_tf32: false
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cache_dir: /checkpoints/huggingface/
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cache_latents: false
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caption_column: null
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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class_data_dir: /data/humanscape-babyface/class
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class_prompt: high quality photo of an asian baby, head shot, closed eyes, plain cream
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beanie, plain cream swaddle
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: null
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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instance_data_dir: /data/humanscape-babyface/instance
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instance_prompt: high quality photo of an asian jshj baby, head shot, closed eyes,
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plain cream beanie, plain cream swaddle
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+
learning_rate: 1.0e-06
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+
local_rank: 0
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29 |
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