comfyui_face_parsing

comfyui_face_parsing
★ 191

人脸分割面部遮罩皮肤平滑ComfyUI节点
comfyui_face_parsing:基于 face-parsing 与 yolov8 的 ComfyUI 自定义节点,提供精细人脸分割、遮罩处理与皮肤导向滤波,提升人像后处理效果
💡 用于精细人像分割、局部修图与遮罩生成
🍴 18 Forks💻 Python🔄 2025-02-18
📦
网盘下载
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https://pan.quark.cn/s/2df45d172dc1
📦 requirements.txt
opencv-contrib-python-headless
torchvision
ultralytics
matplotlib
📄 README

Introduction

This is a set of custom nodes for ComfyUI.

The nodes utilize the face parsing model to parse face and provide detailed segmantation. To improve face segmantation accuracy, yolov8 face model is used to first extract face from an image.

There are also auxiliary nodes for image and mask processing. A guided filter is also provided for skin smoothing.

If you encounter any problems, feel free to open an issue. I’ll try to fix it when I’m not busy. Besides, if you like the nodes, please give a star, thanks!

Installation

Just clone the repo https://github.com/Ryuukeisyou/comfyui_face_parsing.git into ComfyUI’s “custom_nodes” directory.

On first run, some required files will be downloaded to ComfyUI’s “models/face_parsing/” folder and “models/ultralytics/bbox” folder. If you have difficulty connecting to Huggingface, you can try mannually:

  • Download the .json and .safetensors files from the face parsing model repo and save them to the “models/face_parsing/” folder.
  • Download the face_yolov8m.pt from the Bingsu/adetailer repo and save it to “models/ultralytics/bbox” folder.
  • Requirements

    See requirements.txt. Specially, opencv-contrib-python is needed for guided filter. If you have other versions of opencv e.g. opencv-python-headless installed after open-contrib-python, you may need to uninstall opencv-contrib-python and reinstall it again. Note: If you don’t need guided filter, you can just forget about opencv-contrib-python, as it is often conflicted by other opencv versions.

    Workflow

    a demo work flow is shown below.

    Original Processed

    The image bellow contains the workflow which can be loaded into ComfyUI.