Please install it directly from the github repo here: dchatel/comfyui_facetools, the zip file attached to this post just contains the adress of the repo.

comfyui_facetools

These custom nodes provide a rotation aware face extraction, paste back, and various face related masking options.

Example Workflows

• Full inpainting workflow with two controlnets which allows to get as high as 1.0 denoise strength without messing things up. Nodes

  • AlignFaces

    • inputs:

      • insightface: Use the Load InsightFacenode from ComfyUI_IPAdapter_plus

      • image

      • threshold: minimal confidence score for detection

      • min_size: minimum face size for detection

      • max_size: maximum face size for detection

    • outputs:

      • faces

  • FaceDetails

    • inputs:

      • faces

      • crop_size: size of the square cropped face image

      • crop_factor: enlarge the context around the face by this factor

      • mask_type:

        • simple_square: simple bounding box around the face

        • convex_hull: convex hull based on the face mesh obtained with MediaPipe

        • BiSeNet: occlusion aware face segmentation based on face-parsing.PyTorch

    • outputs:

      • crops: square cropped face images

      • masks: masks for each cropped face

      • warps: 2x3 warp matrix to paste the cropped face back into the original image

  • WarpFacesBack

    • input:

      • images: this is the original image

      • face

      • crop: cropped face images

      • mask: masks for the cropped faces

      • warp: 2x3 warp matrix

  • OrderedFaceFilter

    • works similarly to ImpactSEGSOrderedfilter

  • GenderFaceFilter

    • needs more work, as InsightFace gender classifier isn't very accurate.

  • MergeWarps

    • 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.

  Installation

  You will need ComfyUI-Impact-Pack for Load InsightFace node and 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. You will also need to download the BiSeNet model and save it in ComfyUI/models/bisenet to use occlusion aware masks.

  描述:

  训练词语:

  名称: comfyuiFacetools_v10.zip

  大小 (KB): 0

  类型: Archive

  Pickle 扫描结果: Success

  Pickle 扫描信息: No Pickle imports

  病毒扫描结果: Success

  

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