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