ComfyUI-B-LoRA (Working in Progress)

Load and apply B-LoRA models, currently B-LoRA models only works with SDXL (sdxl_base_1.0).

B-LoRA

https://github.com/yardenfren1996/B-LoRA

Advantages of B-LoRA

1. Can differentiate Style and Content.

2. Much smaller model files. (~100M)

3. Only need one image to train.

Workflow Examples

A Single Load B-LoRA node

🌟 <s> is the training prompt for one B-Lora colorful-squirrel

A B-LoRA for Style, and another for Content

🌟 <s> is the training prompt for one B-Lora colorful-squirrel, and <p> is the training prompt for the other pencil-boy.

B-LoRA models used in the workflows can be downloaded here:

https://huggingface.co/sida/B-LoRA-examples/tree/main

Credit goes to:

• https://github.com/yardenfren1996/B-LoRA

• https://github.com/huggingface/diffusers/blob/main/scripts/convert_diffusers_sdxl_lora_to_webui.py

• https://github.com/yardenfren1996/B-LoRA/issues/7

• https://github.com/comfyanonymous/ComfyUI/issues/3674

Citation

If you use B-LoRA in your research, please cite the authors' paper:

@misc{frenkel2024implicit,
      title={Implicit Style-Content Separation using B-LoRA}, 
      author={Yarden Frenkel and Yael Vinker and Ariel Shamir and Daniel Cohen-Or},
      year={2024},
      eprint={2403.14572},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}