ComfyUI Extension: 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
Custom Nodes (3)
README
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
Update
- 24/02/12 修改模型加载模式为单体模型,此模型调用cofmy的vaae会偏色严重,所以只能用diffuser方法了/Change the model loading mode to a monolithic model
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
├── Comfyui/models/checkpoints/
| ├── svd_xt.safetensors or svd_xt_1_1.safetensors
├── Comfyui/models/vae/
| ├──svd.ave.fp16.safetensors #rename from stabilityai/stable-video-diffusion-img2vid-xt/vae 重命名repo下的vae模型既可以,不命名也行
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},
}