ComfyUI-AutoCropFaces

ComfyUI-AutoCropFaces
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人脸检测自动裁切RetinaFace图像预处理
使用 RetinaFace 在图像中检测人脸并自动裁切，支持多脸场景下聚焦指定人脸，方便后续人像生成与修图输入。
💡 自动检测并裁切人脸以供生成或修图使用
🍴 25 Forks💻 Python🔄 2024-08-12
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https://pan.quark.cn/s/b6135d9bd930
Simple Usage
At Bottom Edge
Pass Through Constrain Image first
Crop and Paste
📄 README

ComfyUI-AutoCropFaces

Use RetinaFace to detect and automatically crop faces

Forked and modified from biubug6/Pytorch_Retinaface

Custom Nodes

Auto Crop Faces

Detect faces and focus on one of them.

Sure, here is the updated documentation:

Auto Crop Faces

Detect faces and focus on one of them.

  • number_of_faces: How many faces would you like to detect in total? (default: 5, min: 1, max: 100)

  • start_index: Which face would you like to start with? (default: 0, step: 1). The starting index of the detected faces list. If the start index is out of bounds, it wraps around in a circular fashion just like a Python list.

  • scale_factor: How much padding would you like to add? 1 for no padding. (default: 1.5, min: 0.5, max: 10, step: 0.5)

  • shift_factor: Where would you like the face to be placed in the output image? Set to 0 to place the face at the top edge, 0.5 to center it, and 1.0 to place it at the bottom edge. (default: 0.45, min: 0, max: 1, step: 0.01)

  • max_faces_per_image: The maximum number of faces to detect for each image. (default: 50, min: 1, max: 1000, step: 1)

  • aspect_ratio: The aspect ratio for cropping, specified as width : height. (default: 1:1)

    • Recommandation:

    Users might upload extremely large images, so it would be a good idea to first pass through the “Constrain Image” node.

    It now supports CROP_DATA, which is compatible with WAS node suite.