From Photo to Masterpiece: Leveraging AI for Single-Photo to Multi-Scene Transformation

CN
ComfyUI.org
2025-03-26 11:56:16

1. Workflow Overview

m8pvau4tq23bwsor4lb126ab988390e502c149c317734454c5fc8f7cc2238b94415282feb88988a850.png

An AI portrait system featuring:

  • Single-photo to multi-scene transformation

  • FACEID PLUS V2 facial recognition

  • SDXL model integration

  • Automatic background/outfit replacement

2. Core Models

Model

Purpose

LEOSAM HelloWorld

SDXL base

FACEID PLUS V2

Face feature keeper

3. Key Components

Critical Nodes:

  1. IPAdapterUnifiedLoaderFaceID

    • Tip: Use strength=1.2 for stronger features

  2. Dual CLIP Encoding

    • Positive: Scene description

    • Negative: Quality filters

4. Processing Flow

graph TB
    A[Input Photo] --> B[Face Extraction]
    B --> C[Scene Generation]
    C --> D[Output]

5. I/O Specifications

Input:

{
    "image": "Clear face photo",
    "prompt": "Detailed scene description" 
}

Output:

  • 832x1024 resolution

  • Metadata included

6. Pro Tips

  1. For best results:

    • Use well-lit front-facing photos

    • Keep original aspect ratio

  2. Performance notes:

    • GPU recommended for FaceID

    • Reduce steps to 15 for faster generation