Extensions/comfyui_face_parsing_New
ComfyUI Extension

comfyui_face_parsing_New

A custom node pack for ComfyUI that provides face semantic segmentation using the jonathandinu/face-parsing model, parsing faces into 19 distinct regions and generating precise masks for skin retouching, inpainting, makeup transfer, and more.

By isurulkh·Created 7 months ago·Updated 7 months ago· 0
isurulkh/comfyui_face_parsing_New
Nodes4
On cloudLocal install
Categoryface_parsing
Stars0
Updated7 months ago

Nodes (4)

FaceParse(FaceParsing)

The node that actually segments the face

face_parsing
FaceParsingModelLoaderNew

The boring node that gives your faces 19 switchable masks

face_parsing
FaceParsingProcessorLoader(FaceParsing)

The boring node FaceParse can't run without

face_parsing
FaceParsingResultsParser(FaceParsing)

Turn the segmentation into the exact mask you want

face_parsing
Readme

ComfyUI Face Parsing

A custom node pack for ComfyUI that provides face semantic segmentation using the jonathandinu/face-parsing model (SegFormer-based). Parse faces into 19 distinct regions and generate precise masks for skin retouching, inpainting, makeup transfer, and more.

✨ Features

  • Automatic model downloading — All required models are fetched from HuggingFace on first run
  • 19 individually toggleable face regions — Skin, nose, eyes, eyebrows, lips, ears, hair, hat, neck, cloth, and more
  • GPU acceleration — Run inference on CUDA or CPU
  • Batch processing — Process multiple images in a single pass
  • Colorized preview — Visual segmentation map output for debugging

📦 Installation

Option 1: Manual Install

  1. Clone or copy this folder into your ComfyUI custom_nodes/ directory: 
    cp -r comfyui_face_parsing /path/to/ComfyUI/custom_nodes/
  2. Restart ComfyUI
  3. Models will auto-download on first load (~160MB total)

Option 2: Symlink (Development)

ln -s /path/to/comfyui_face_parsing /path/to/ComfyUI/custom_nodes/comfyui_face_parsing

📋 Dependencies

Specified in requirements.txt and auto-installed on first load:

| Package | Purpose | |---------|---------| | transformers | SegFormer model and image processor | | ultralytics | YOLOv8 face detection model |

Additional dependencies already included with ComfyUI: torch, torchvision, numpy, matplotlib, Pillow.

🧩 Nodes

All nodes appear under the face_parsing category in the ComfyUI add-node menu.

FaceParsingModelLoaderNew

Loads the SegFormer semantic segmentation model from the local model directory.

| | Type | Description | |---|------|-------------| | Input | device (dropdown) | cpu or cuda — where to load the model | | Output | FACE_PARSING_MODEL | The loaded segmentation model |

FaceParsingProcessorLoader

Loads the SegformerImageProcessor used to preprocess images before inference.

| | Type | Description | |---|------|-------------| | Input | (none) | No inputs required | | Output | FACE_PARSING_PROCESSOR | The loaded image processor |

FaceParse

Runs face parsing inference on an input image. Produces both a colorized segmentation visualization and raw parsing results for downstream mask generation.

| | Type | Description | |---|------|-------------| | Input | model (FACE_PARSING_MODEL) | From FaceParsingModelLoader | | Input | processor (FACE_PARSING_PROCESSOR) | From FaceParsingProcessorLoader | | Input | image (IMAGE) | The image to parse | | Output | IMAGE | Colorized segmentation map (viridis colormap) | | Output | FACE_PARSING_RESULT | Raw segmentation tensor for mask generation |

FaceParsingResultsParser

Converts raw face parsing results into a binary mask. Each of the 19 face regions can be individually toggled on/off to create a combined mask.

| | Type | Description | |---|------|-------------| | Input | result (FACE_PARSING_RESULT) | From FaceParse node | | Input | 19× BOOLEAN toggles | Enable/disable each face region | | Output | MASK | Combined binary mask of selected regions |

Face Region Toggles

| Index | Region | Default | Index | Region | Default | |-------|--------|---------|-------|--------|---------| | 0 | background | ❌ Off | 10 | mouth | ✅ On | | 1 | skin | ✅ On | 11 | u_lip (upper lip) | ✅ On | | 2 | nose | ✅ On | 12 | l_lip (lower lip) | ✅ On | | 3 | eye_g (eyeglasses) | ✅ On | 13 | hair | ✅ On | | 4 | r_eye (right eye) | ✅ On | 14 | hat | ✅ On | | 5 | l_eye (left eye) | ✅ On | 15 | ear_r (earring) | ✅ On | | 6 | r_brow (right eyebrow) | ✅ On | 16 | neck_l (necklace) | ✅ On | | 7 | l_brow (left eyebrow) | ✅ On | 17 | neck | ✅ On | | 8 | r_ear (right ear) | ✅ On | 18 | cloth (clothing) | ✅ On | | 9 | l_ear (left ear) | ✅ On | | | |

🔗 Typical Workflow

FaceParsingModelLoaderNew ──(FACE_PARSING_MODEL)──┐
                                                ▼
FaceParsingProcessorLoader ──(FACE_PARSING_PROCESSOR)──► FaceParse ──(FACE_PARSING_RESULT)──► FaceParsingResultsParser ──(MASK)──►
                                                            ▲
                                           Input IMAGE ─────┘

Example Use Cases

  • Skin retouching — Enable only skin, disable everything else → use mask for inpainting/denoising
  • Hair color change — Enable only hair → use mask to isolate and recolor hair
  • Lip makeup — Enable u_lip + l_lip → apply color grading or style transfer to lips
  • Background removal — Enable background → invert mask to keep only the face
  • Face-only inpainting — Disable background, hair, cloth, hat → mask covers only facial features

📁 Downloaded Models

On first load, the following models are automatically downloaded:

| Model | Source | Location | |-------|--------|----------| | model.safetensors | jonathandinu/face-parsing | models/face_parsing/ | | config.json | jonathandinu/face-parsing | models/face_parsing/ | | preprocessor_config.json | jonathandinu/face-parsing | models/face_parsing/ | | face_yolov8m.pt | Bingsu/adetailer | models/ultralytics/bbox/ |

📂 File Structure

comfyui_face_parsing/
├── __init__.py              # Model downloads, dependency checks, node export
├── face_parsing_nodes.py    # All 4 node class implementations
├── requirements.txt         # Python dependencies (transformers, ultralytics)
└── README.md                # This file

🙏 Credits

📄 License

MIT License