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ComfyUI_SVFR

SVFR is a unified framework for face video restoration that supports tasks such as BFR, Colorization, Inpainting,you can use it in ComfyUI

1. Installation

In the ./ComfyUI /custom_node directory, run the following:

git clone https://github.com/smthemex/ComfyUI_SVFR.git

2. Requirements

pip install -r requirements.txt

3. Models Required

  • 3.1 download SVFR checkpoints from google drive After decompression, place the model in the following file format,从谷歌云盘下载模型,解压后按以下文件格式放置模型;
├── Comfyui/models/SVFR/
|   ├── id_linear.pth
|   ├── insightface_glint360k.pth
|   ├── unet.pth
|   ├── yoloface_v5m.pt
   if offline
├── anypath/stable-video-diffusion-img2vid-xt/
|   ├── model_index.json
|   ├── vae...
|   ├── unet...
|   ...

4 Inference mode

  • "bfr,colorization,inpainting,bfr_color,bfr_color_inpaint",inpainting and bfr_color_inpaint mode need a mask(use comfyUI mask or black/white jpg)

5 Example

6 Citation

@misc{wang2025svfrunifiedframeworkgeneralized,
      title={SVFR: A Unified Framework for Generalized Video Face Restoration}, 
      author={Zhiyao Wang and Xu Chen and Chengming Xu and Junwei Zhu and Xiaobin Hu and Jiangning Zhang and Chengjie Wang and Yuqi Liu and Yiyi Zhou and Rongrong Ji},
      year={2025},
      eprint={2501.01235},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2501.01235}, 
}