1. Workflow Overview

This workflow specializes in high-precision face swapping, optimized for classical Chinese portraits (e.g., replacing modern faces with Yang Guifei's style). Key steps:

1. Face Detection & Cropping: Auto-detects faces in source/target images.

2. Model Swapping: Uses inswapper_128.onnx for feature transfer.

3. Quality Enhancement: Applies GFPGANv1.4 for facial detail restoration.

4. Color Adaptation: Leverages color101VAE for skin tone consistency.

Highlights: Multi-angle support, preserves original lighting, adapts to ancient makeup.

2. Core Models

3. Key Nodes

4. Workflow Groups

1. Input Group

   • Target Image: Classical portrait (e.g., ygf.png).

   • Source Image: Modern face photo (e.g., girl_selfie.png).

2. Preprocessing Group

   • Face Cropping: CropFace extracts facial regions.

   • VAE Loading: color101VAE_v1.pt ensures ancient-style skin tones.

3. Face Swap Group

   • ReActor Config:

     • Model: inswapper_128.onnx

     • Enhancer: GFPGANv1.4 (strength=1)

     • Detector: retinaface_resnet50

4. Output Group

   • VAE Decode: Restores image details.

   • Dual Preview: Swapped result + source face crop.

5. Inputs & Outputs

• Required Inputs:

  • Target: Classical portrait (front-facing, ≥512x512).

  • Source: Modern face (clear features, simple background).

  • Params: face_boost=1, swap_model=inswapper_128.

• Output:

  • Swapped image (retains target's clothing/background).

  • Source face crop (for debugging).

6. Notes

1. Hardware:

   • ≥6GB VRAM (RTX 3060+ recommended), GFPGAN requires extra resources.

2. Troubleshooting:

   • Misaligned faces: Switch detector to resnet50 (default mobile0.25 may fail).

   • Color mismatch: Try alternative VAEs or enable color_transfer.

3. Model Paths:

   • Place inswapper_128.onnx in ComfyUI/models/insightface.