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Revitalize Your Portraits: A Step-by-Step Guide to Professional Skin Restoration

CN
ComfyUI.org
2025-05-26 13:50:43

Discover the power of professional portrait skin restoration with SUPIR plugin! Learn how to eliminate blemishes, enhance texture, and upscale to 2K/4K with our expert workflow.

Use Case
Portrait
Best For
Portrait
VRAM
Medium VRAM (12–16GB)
Reading Time
3 min
More Portrait Workflows

Workflow Overview

Discover the power of professional portrait skin restoration with SUPIR plugin! Learn how to eliminate blemishes, enhance texture, and upscale to 2K/4K with our expert workflow.

Content type: Workflow

Primary intent: Download

Required Nodes

  • Reactor
  • Upscaler

Setup Notes

  • Install the required models before opening the workflow template.
  • Recommended hardware: Medium VRAM (12–16GB).

1. Workflow Overview

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This workflow specializes in professional portrait skin restoration using SUPIR plugin, featuring:

  • Blemish Removal: Eliminates noise/wrinkles

  • Texture Enhancement: Amplifies pores/gloss details

  • AI Super-Resolution: Upscales to 2K/4K

Core Models:

  • dreamshaperXL_lightningDPMSDE: Base generator

  • SUPIR-v0Q: Skin-specialized model

  • 4xFFHQDAT + 1x-ITF-SkinDiffDetail: 2-stage upscale

2. Components Breakdown

Key Nodes:

  1. SUPIR Core Trio

    • SUPIR_model_loader_v2: Loads SUPIR model

    • SUPIR_first_stage: Pre-denoising (512x512)

    • SUPIR_sample: Main restoration (RestoreDPMPP2MSampler)

  2. Auxiliary Modules

    • ReActorRestoreFace: Face-specific repair

    • ColorAdjust(FaceParsing): Skin tone balance

    • ColorMatch: Global color correction

  3. Upscale Pipeline

    • Stage1: 4xFFHQDAT (2x)

    • Stage2: 1x-ITF-SkinDiffDetail (skin detail)

Dependencies:

  • Required downloads:

    # SUPIR model
wget https://huggingface.co/SUPIR/models/resolve/main/SUPIR-v0Q.ckpt -P ComfyUI/models/supir/
# GFPGAN model
wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P ComfyUI/models/facerestore/

3. Workflow Structure

Processing Flow:

  1. Pre-Processing
    Input → ReActorRestoreFace → ImageResize+

  2. SUPIR Restoration
    Denoise → Prompt conditioning → Diffusion sampling

  3. Post-Processing
    Upscale chain → Face refinement → Color matching

Critical Parameters:

  • Denoise strength: 1.5

  • Sampling steps: 10

4. Inputs & Outputs

Input Requirements:

  • Format: PNG/JPG (≥512x512)

  • Content: Front-facing portraits

Outputs:

  • Default resolution: 2048x2048

  • Includes: Before/after comparison

5. Notes

  • Hardware:

    • VRAM: ≥12GB (for 2048x2048)

    • Recommended: NVIDIA 30/40 series

  • Troubleshooting:（Python）

    # Error: SUPIR_VAE not found
Fix: Verify model path is ComfyUI/models/supir/

# Error: Face detection failed
Fix: Decrease "Fidelity Scale" in ReActor

  • Optimization:

    1. Enable PurgeVRAM for batch processing

    2. Use VAEEncodeTiled for HD outputs

FAQ

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