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.