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=0.4
Install 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=0.3~0.6
Use
exponent=0.7
for smooth transition
When encountering issues:
Black images β Verify FLUX model files
VRAM overload β Disable real-time preview