ComfyUI Face Swap Workflow版本v1.0 (ID: 158650)

(Leave a comment if you have trouble installing the custom nodes/dependencies, I'll do my best to assist you!)

This simple workflow consists of two main steps: first, swapping the face from the source image to the input image (which tends to be blurry), and then restoring the face to make it clearer. Feel free to customize the fidelity value to your preference; I've initially set it to a default of 1.000.

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Prerequisites (Custom Nodes):

You can install either of these custom nodes using ComfyUI Manager or clone them with Git:

1. ReActor Node for ComfyUI: https://github.com/Gourieff/comfyui-reactor-node

2. Facerestore CF (Code Former): https://github.com/mav-rik/facerestore_cf

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Installation guides (as provided on their respective GitHub pages):

ReActor:

1. Go to the ComfyUI\custom_nodes directory.

2. Open the Console and run the following command:

git clone https://github.com/Gourieff/comfyui-reactor-node

3. Run install.bat.

4. Run ComfyUI and find the ReActor Node inside the menu under "image/postprocessing" or by using the search function.

Facerestore CF:

• Git clone this node to the ComfyUI/custom_nodes folder:

• cd ComfyUI/custom_nodes

• git clone https://github.com/mav-rik/facerestore_cf.git

• If you are running the portable Windows version of ComfyUI, run embedded_install.bat. Windows users not running the portable version can run install.bat. Linux and macOS users can run install.sh. If the installation fails for any reason, you will need to manually install opencv-python to resolve a "cv2 not found" error.

Face Restoration Models

These models perform the face restoration. If you use automatic1111 you probably already have them but if not here are the download links. Just put them in models/facerestore_models/

https://github.com/TencentARC/GFPGAN/releases/ https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth

https://github.com/sczhou/CodeFormer/releases/ https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth

Face detection models

The face restoration model only works with cropped face images. A face detection model is used to send a crop of each face found to the face restoration model. These will automaticly be downloaded and placed in models/facedetection the first time each is used. Here's the links if you'd rather download them yourself.

https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_mobilenet0.25_Final.pth https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/yolov5l-face.pth https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/yolov5n-face.pth

This also gets downloaded and put in the facedetection folder. It's used to put the restored faces back into the original image. https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/parsing_parsenet.pth

描述:

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