1. Workflow Overview

• Purpose:
  Specialized AI workflow for hand region repair, featuring:

  • Fixing deformities, artifacts, or blur in hands.

  • Seamless style-consistent blending.

  • High-resolution output (default 1024x1024).

• Core Models:

  • Flux Fill dev: Core inpainting model for detail reconstruction.

  • SegmentAnythingUltra V2: Precise hand segmentation (requires sam_vit_h_4b8939.pth).

  • DifferentialDiffusion: Enhances coherence in repaired areas.

2. Key Nodes

• Critical Nodes:

  • SegmentAnythingUltra V2:

    • Function: Segments hand mask via SAM.

    • Installation: Download model from official repo.

  • InpaintCrop:

    • Crops repair region (default 150px expansion).

  • FluxGuidance:

    • Controls repair intensity (default: 30).

3. Workflow Structure

• Group 1: Hand Repair (Core Pipeline)

  • Input: Source image (e.g., clipspace-mask-396528.90000000596.png).

  • Steps:

    1. Mask Segmentation: SAM identifies hand region.

    2. Mask Expansion: GrowMask expands edges by 30px.

    3. Local Repair: InpaintModelConditioning generates content.

    4. Blending: InpaintStitch merges with bislerp algorithm.

  • Output: Repaired image (preview via PreviewImage).

4. Input & Output

• Global Inputs:

  • Image file (PNG/JPG with hand region).

  • Text prompt (e.g., "hand" for guidance).

• Final Output: High-quality repaired image.

5. Notes

• Common Errors:

  • SAM model load failure: Verify file path.

  • VRAM overflow: Reduce InpaintCrop resolution.

• Optimization:

  • Enable CUDA for SAM (in LayerMask: SegmentAnythingUltra V2).

  • Tune FluxGuidance (default 30) for detail/naturalness balance.

• Compatibility:

  • Requires ComfyUI ≥0.4 + NVIDIA GPU (≥12GB VRAM).