Achieve Unparalleled Image Quality: Expert Workflow for Reducing AI Artifacts

CN
ComfyUI.org
2025-03-26 11:36:47

1. Workflow Overview

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This is an advanced workflow specifically designed to:

  • Reduce "AI-artifact" in generated images

  • Enhance fine details through dual-path processing

  • Support FLUX model's fp8 computation

  • Provide visual parameter tuning

2. Core Models

Model

Purpose

FLUX/flux1-dev-fp8

Main fp8 UNET

clip_l.safetensors

CLIP-L text encoder

t5xxl_fp8_e4m3fn

T5-XXL text encoder

flux_ae.sft

Specialized VAE

3. Key Components

Critical Nodes:

  1. DetailDaemonSamplerNode

    • Function: Dynamic detail control

    • Key params: detail_amount=0.2, bias=0.4

    • Install via: ComfyUI Manager

  2. CLIPTextEncodeFlux

    • Feature: Dual-text encoder fusion

    • Requires both CLIP-L and T5-XXL

  3. SamplerCustomAdvanced

    • Advantage: Sigma-curve control

    • Default: euler sampler, 20 steps

4. Workflow Structure

graph LR
    A[Prompt] --> B(Dual Encoding)
    B --> C[Base Generation]
    B --> D[Detail Enhancement]
    C --> E[Standard Output]
    D --> F[Enhanced Output]

5. Input/Output

Input:

{
    "prompt": "Multi-view description",
    "seed": 926489010812343,
    "detail_strength": 0.2
}

Output:

  • Two image versions with/without detail enhancement

6. Pro Tips

  1. For natural results:

    • Set bias=0.3~0.6

    • Use exponent=0.7 for smooth transition

  2. When encountering issues:

    • Black images β†’ Verify FLUX model files

    • VRAM overload β†’ Disable real-time preview