83 lines
3.0 KiB
Markdown
83 lines
3.0 KiB
Markdown
# ComfyUI_Stable_Makeup
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You can apply makeup to the characters when use ComfyUI
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Stable_Makeup From: [Stable_Makeup](https://github.com/Xiaojiu-z/Stable-Makeup)
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Update
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---
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**2025/04/5**
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* use single clip ,改成单体clip，似乎质量并未下降；
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* add lora support,you can try 4 step lora or other，增加加速Lora或者常规Lora的支持； ；
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1.Installation
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-----
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In the ./ComfyUI /custom_node directory, run the following:
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```
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git clone https://github.com/smthemex/ComfyUI_Stable_Makeup.git
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```
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2.requirements
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----
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only insightface in requirements.txt
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```
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pip install -r requirements.txt
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```
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按理是不需要装特别的库，因为内置了，如果还是库丢失，请单独安装.
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便携包和秋叶包请注意使用python -m pip install
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If the module is missing, please open "no need requirements.txt" , pip install or python -m pip install
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missing module.
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3 Need model
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----
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* 模型的下载地址比较杂，所以使用前请下下载，并存放在ComfyUI/models/stable_makeup 文件夹下,The download address for the model is quite miscellaneous, so please download it before use and store it in the ComfyUI/models/table_makeup folder:
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* download [spiga_300wpublic.pt](https://huggingface.co/aprados/spiga/tree/main) and [(pytorch_model.bin , pytorch_model_1.bin , pytorch_model_2.bin) ](https://drive.google.com/drive/folders/1397t27GrUyLPnj17qVpKWGwg93EcaFfg) and [mobilenet0.25_Final.pth](https://drive.google.com/uc?export=download&id=1G3VsfgiQb16VyFnOwEVDgm2g8-9qN0-9) or [resnet50.pth](https://www.dropbox.com/s/8sxkgc9voel6ost/resnet50.pth?dl=1)
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```
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├── ComfyUI/models/stable_makeup/
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| ├── mobilenet0.25_Final.pth
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| ├── pytorch_model.bin
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| ├── pytorch_model_1.bin
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| ├── pytorch_model_2.bin
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| ├── spiga_300wpublic.pt
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| ├── resnet50.pth
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├── ComfyUI/models/checkpoints
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| ├── any sd1.5 weights,
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├── ComfyUI/models/clip
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| ├── clip_l.safetensors
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```
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Example
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-----
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6 Citation
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------
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``` python
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@article{zhang2024stable,
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title={Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model},
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author={Zhang, Yuxuan and Wei, Lifu and Zhang, Qing and Song, Yiren and Liu, Jiaming and Li, Huaxia and Tang, Xu and Hu, Yao and Zhao, Haibo},
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journal={arXiv preprint arXiv:2403.07764},
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year={2024}
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}
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```
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SPIGA From: [SPIGA](https://github.com/andresprados/SPIGA)
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``` python
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@inproceedings{Prados-Torreblanca_2022_BMVC,
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author = {Andrés Prados-Torreblanca and José M Buenaposada and Luis Baumela},
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title = {Shape Preserving Facial Landmarks with Graph Attention Networks},
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booktitle = {33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022},
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publisher = {{BMVA} Press},
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year = {2022},
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url = {https://bmvc2022.mpi-inf.mpg.de/0155.pdf}
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}
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```
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FaceLib From: [FaceLib](https://github.com/sajjjadayobi/FaceLib)
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