Achieve Unparalleled Image Quality: Expert Workflow for Reducing AI Artifacts
1. Workflow Overview

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  | 
|---|---|
  | Main fp8 UNET  | 
  | CLIP-L text encoder  | 
  | T5-XXL text encoder  | 
  | Specialized VAE  | 
3. Key Components
Critical Nodes:
DetailDaemonSamplerNode
Function: Dynamic detail control
Key params:
detail_amount=0.2,bias=0.4Install via: ComfyUI Manager
CLIPTextEncodeFlux
Feature: Dual-text encoder fusion
Requires both CLIP-L and T5-XXL
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
For natural results:
Set
bias=0.3~0.6Use
exponent=0.7for smooth transition
When encountering issues:
Black images → Verify FLUX model files
VRAM overload → Disable real-time preview