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# comfyui_facetools
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These custom nodes provide a rotation aware face extraction, paste back, and various face related masking options.
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## Example Workflows
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- Full inpainting workflow with two controlnets which allows to get as high as 1.0 denoise strength without messing things up.
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## Nodes
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- `AlignFaces`
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- inputs:
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- insightface: Use the `Load InsightFacenode` from [ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
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- image
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- threshold: minimal confidence score for detection
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- min_size: minimum face size for detection
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- max_size: maximum face size for detection
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- outputs:
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- faces
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- `FaceDetails`
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- inputs:
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- faces
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- crop_size: size of the square cropped face image
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- crop_factor: enlarge the context around the face by this factor
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- mask_type:
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- simple_square: simple bounding box around the face
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- convex_hull: convex hull based on the face mesh obtained with MediaPipe
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- BiSeNet: occlusion aware face segmentation based on [face-parsing.PyTorch](https://github.com/zllrunning/face-parsing.PyTorch)
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- outputs:
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- crops: square cropped face images
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- masks: masks for each cropped face
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- warps: 2x3 warp matrix to paste the cropped face back into the original image
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- `WarpFacesBack`
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- input:
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- images: this is the original image
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- face
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- crop: cropped face images
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- mask: masks for the cropped faces
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- warp: 2x3 warp matrix
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- `OrderedFaceFilter`
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- works similarly to `ImpactSEGSOrderedfilter`
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- `GenderFaceFilter`
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- needs more work, as InsightFace gender classifier isn't very accurate.
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- `MergeWarps`
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- I made some changes in `FaceDetailer` and `WarpFacesBack` since I've created this one, so it probably doesn't work anymore. Needs more testing and more work.
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## Installation
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You will need [ComfyUI-Impact-Pack](https://github.com/ltdrdata/) for `Load InsightFace` node and [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) for MediaPipe library (which is required for convex_hull masks) and `MediaPipe Face Mesh` node if you want to use that controlnet
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