ComfyUI Extension: ComfyUI_CSD_MT
a/CSD_MT is a method about 'Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth', you can use it in comfyUI.
Custom Nodes (0)
README
ComfyUI_CSD_MT
CSD_MT is a method about 'Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth', you can use it in comfyUI.
Tips
- This method need little space and VRAM(or CPU),all the models is about 200M(4 weights),and best quality size is 256*256
- 这个方法所用4个模型加起来不到200M,所需显存或CPU可以忽略不记,当然,图片输出最佳质量是256*256.
1. Installation
In the ./ComfyUI/custom_node directory, run the following:
git clone https://github.com/smthemex/ComfyUI_CSD_MT.git
2. Requirements
pip install -r requirements.txt
- When install dlib get error,use wheel to install it,download wheel from this address
- 如果按照dlib库失败,从此链接下载对应你python版本的轮子,用以下命令安装:
pip install dlib-19.24.1-cp311-cp311-win_amd64.whl
3.Model
- 3.1 download 3 checkpoints (79999_iter.pth,CSD_MT.pth,lms.dat) from google or baidu password:1d3e.从百度云或者Google下载三个模型
- 3.2 download 'resnet18-5c106cde.pth' from here 从链接下载resnet18-5c106cde.pth模型,不要改名字.
-- ComfyUI/models/CSDMT
|-- 79999_iter.pth
|-- CSD_MT.pth
|--resnet18-5c106cde.pth #没有也会自动下载
-- ComfyUI/custom_node/ComfyUI_CSD_MT/quick_start/faceutils/dlibutils
|--lms.dat
4.Example
5.Citation
@inproceedings{sun2024content,
title={Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth},
author={Sun, Zhaoyang and Xiong, Shengwu and Chen, Yaxiong and Rong, Yi}
journal={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
year={2024}
}