1. Workflow Overview

This workflow specializes in historical photo restoration/colorization with:

• Damage Repair: Fix scratches, fading, and missing parts.

• AI Colorization: Context-aware color filling (clothing/background).

• Background Consistency: Seamless subject-environment blending.

• GPT-4O-Level Coherence: Semantic-aware style preservation.

Core Model:

• FluxKontextMax: Optimized for archival images (supports bilingual prompts).

• Built-in VAE: Enhanced color recovery (no manual loading).

2. Key Nodes

Main Node:

1. FluxKontextMaxImageNode

   • Function: One-click repair+colorize+background reconstruction.

   • Parameters:

     • Prompt: "restore and colorize this photo..."

     • Steps: 3 (optimized for fast inference).

     • Seed: Fixed (780923090651903) or randomized.

Utilities:

• LoadImage: Upload old photos (e.g., .jpg in example).

• ImageConcanate: Side-by-side comparison (requires ComfyUI-KJNodes).

• MarkdownNote: API docs & prompt tips (non-essential).

Zero-Dependency:

• All models are cloud-hosted (local ComfyUI base install sufficient).

3. Workflow Steps

1. Input: Load damaged photo via LoadImage.

2. Processing: FluxKontextMaxImageNode auto-executes:

   • Denoise → Structure repair → Semantic colorization → Background fusion.

3. Output:

   • SaveImage saves HD result.

   • ImageConcanate creates before/after collage.

4. Inputs & Outputs

Input Requirements:

• Formats: JPG/PNG (recommended ≥500px resolution).

• Ideal Inputs:

  • B&W or faded color photos

  • Minor damage with intact subjects

Outputs:

• Resolution: Matches input (e.g., 605x910 in example).

• Save Path: /ComfyUI/output/.

5. Usage Tips

1. Prompt Crafting (Refer to MarkdownNote):

   • Use English commands like:

     "Repair cracks on the face and colorize the hat dark green"  

   • Avoid vague terms like "improve quality".

2. Troubleshooting:

   • Over-sharpening: Reduce denoise in FluxKontextMaxImageNode (default 1.0 → 0.8).

   • Color mismatch: Specify colors in prompts (e.g., "color the sky light cyan").

3. Performance:

   • Cloud API: No local GPU needed (stable internet required).

   • Local Deployment: Requires 16GB+ VRAM (RTX 3090+ recommended).