Image Gen: ComfyUI vs SD WebUI vs Fooocus
Compare ComfyUI vs SD WebUI vs Fooocus for image generation
Choose the right interface for your image generation workflow on CLORE.AI.
All interfaces available on CLORE.AI Marketplace.
Quick Decision Guide
Beginners
Fooocus
Simplest, Midjourney-like
Most features
SD WebUI (Forge)
Best extension ecosystem + FLUX
Complex workflows
ComfyUI
Node-based, maximum control
Production automation
ComfyUI
API-friendly, reproducible
Quick experiments
Fooocus
Minimal setup
ControlNet heavy
SD WebUI
Best ControlNet integration
FLUX.1 models
ComfyUI or Forge
Full native support
SD3.5 models
ComfyUI or Forge
Best SD3.5 support
FLUX.1 Support Comparison
FLUX.1 (Black Forest Labs, 2024-2025) is the leading open-source text-to-image model. Support varies significantly across UIs:
ComfyUI
✅ Full native support
✅ Full support
Best choice for FLUX; node-based workflow
SD WebUI Forge
✅ Full support via Forge fork
✅ Full support
Recommended if you prefer traditional UI
A1111 (original)
⚠️ Limited / via extension
⚠️ Limited
Not recommended for FLUX; use Forge instead
Fooocus
✅ FLUX variant available
✅ Partial
Simplified interface, less control
Recommended Setup for FLUX.1
ComfyUI (max control):
SD WebUI Forge (familiar UI):
A1111 users: The original AUTOMATIC1111 repo has limited FLUX support. Switch to Stable Diffusion WebUI Forge (a drop-in replacement) for full FLUX.1 and SD3.5 support.
FLUX.1 Model Variants
FLUX.1-dev
12B
Best quality, non-commercial
ComfyUI ✅, Forge ✅, A1111 ⚠️
FLUX.1-schnell
12B
Fast inference (4 steps)
ComfyUI ✅, Forge ✅, A1111 ⚠️
FLUX.1-Lite
2.5B
Low VRAM
ComfyUI ✅, Forge ✅
Overview Comparison
Ease of Use
⭐⭐
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⭐⭐⭐⭐⭐
Flexibility
⭐⭐⭐⭐⭐
⭐⭐⭐⭐
⭐⭐⭐⭐
⭐⭐
Extensions
⭐⭐⭐⭐
⭐⭐⭐⭐⭐
⭐⭐⭐⭐⭐
⭐⭐
Performance
⭐⭐⭐⭐⭐
⭐⭐⭐
⭐⭐⭐⭐
⭐⭐⭐⭐
API/Automation
⭐⭐⭐⭐⭐
⭐⭐⭐
⭐⭐⭐
⭐⭐
FLUX.1 Support
✅ Full
⚠️ Limited
✅ Full
✅ Partial
SD3.5 Support
✅ Full
⚠️ Limited
✅ Full
✅ Partial
Learning Curve
Steep
Moderate
Moderate
Easy
Best For
Power users
General use
FLUX + General
Beginners
Fooocus
Overview
Fooocus is the simplest way to generate images. Inspired by Midjourney, it focuses on ease of use with intelligent defaults.
Pros
✅ Extremely easy to use
✅ Great results out of the box
✅ Minimal configuration needed
✅ Built-in style presets
✅ Automatic quality enhancements
✅ Low VRAM mode works well
Cons
❌ Limited customization
❌ Few extensions available
❌ Less control over generation
❌ Harder to automate
❌ Limited inpainting options
Quick Start
Docker:
Interface
Simple and clean:
Enter prompt
Select style preset (Anime, Photorealistic, etc.)
Click Generate
Done!
Key Features
Style Presets
One-click styles (Anime, Photo, Art)
Upscale
Built-in 2x upscaling
Inpaint
Simple inpainting mode
Outpaint
Extend images easily
Face Swap
Built-in face replacement
When to Use
🎯 First time with AI images
🎯 Quick results without learning
🎯 Midjourney-like experience
🎯 Simple prompt-to-image
Sample Workflow
Stable Diffusion WebUI (AUTOMATIC1111)
Overview
The most popular and feature-rich interface. Huge community, endless extensions, and maximum flexibility through a traditional UI.
Pros
✅ Largest extension ecosystem
✅ Most tutorials/documentation
✅ Powerful inpainting
✅ Excellent ControlNet support
✅ Many model formats supported
✅ Active development
Cons
❌ Can be overwhelming
❌ Higher VRAM usage
❌ Slower than alternatives
❌ Complex for beginners
❌ Many settings to understand
Quick Start
Docker:
Interface Tabs
txt2img
Text to image generation
img2img
Image to image transformation
Inpaint
Edit parts of images
Extras
Upscaling, face restore
PNG Info
Extract prompts from images
Extensions
Install add-ons
Key Features
Extensions
1000+ available extensions
ControlNet
Best ControlNet integration
Inpainting
Advanced mask-based editing
X/Y/Z Plot
Compare settings systematically
Prompt Matrix
Generate prompt variations
Hires Fix
Two-stage high-res generation
Must-Have Extensions
When to Use
🎯 Need specific extension
🎯 Complex inpainting tasks
🎯 ControlNet workflows
🎯 Training LoRAs
🎯 Batch processing with variations
Sample Workflow: ControlNet
ComfyUI
Overview
Node-based interface for maximum control and automation. Build custom workflows visually, perfect for power users and production.
Pros
✅ Maximum flexibility
✅ Visual workflow building
✅ Lower VRAM usage
✅ Excellent for automation
✅ Reproducible workflows
✅ Save/share as JSON
Cons
❌ Steep learning curve
❌ Complex for simple tasks
❌ Less intuitive
❌ Requires understanding nodes
❌ Can be overwhelming
Quick Start
Docker:
Node Basics
Key Features
Node System
Visual programming
Workflow JSON
Save/load entire pipelines
Queue System
Batch processing
Custom Nodes
500+ community nodes
API
Full HTTP/WebSocket API
Low VRAM
Most memory efficient
Essential Custom Nodes
When to Use
🎯 Complex multi-step workflows
🎯 Animation/video generation
🎯 Production automation
🎯 Custom processing pipelines
🎯 API integration
Sample Workflow: SDXL + Refiner
Feature Comparison
Generation Features
txt2img
✅
✅
✅
img2img
✅
✅
✅
Inpainting
✅
✅
✅ Basic
Outpainting
✅
✅
✅
ControlNet
✅
✅
Limited
IP-Adapter
✅
✅
✅
Upscaling
✅
✅
✅
Face Fix
✅
✅
✅
Model Support
SD 1.5
✅
✅
✅
✅
SD 2.x
✅
✅
✅
✅
SDXL
✅
✅
✅
✅
FLUX.1-dev
✅
⚠️
✅
✅
FLUX.1-schnell
✅
⚠️
✅
✅
SD3
✅
⚠️
✅
✅
SD3.5 Medium
✅
⚠️
✅
✅ Partial
SD3.5 Large
✅
⚠️
✅
⚠️
LoRA
✅
✅
✅
✅
Embeddings
✅
✅
✅
✅
Technical Features
VRAM Efficiency
Excellent
Good
Good
Speed
Fast
Medium
Fast
API
Excellent
Good
Basic
Batch Processing
Excellent
Good
Basic
Workflow Saving
JSON
Limited
No
Custom Nodes
500+
1000+
Few
Performance Comparison
Generation Speed (SDXL 1024x1024, RTX 4090)
ComfyUI
3.0 sec
Most optimized
Fooocus
3.5 sec
Good defaults
SD WebUI
4.0 sec
More overhead
VRAM Usage (SDXL)
ComfyUI
4 GB
8 GB
Fooocus
5 GB
9 GB
SD WebUI
6 GB
10 GB
Startup Time
ComfyUI
10-15 sec
Fooocus
15-20 sec
SD WebUI
30-60 sec
Use Case Recommendations
For Beginners
Use Fooocus:
Simple interface
Good defaults
Quick results
No learning curve
For Artists
Use SD WebUI:
Intuitive controls
Best inpainting
Familiar UI pattern
Many style extensions
For Developers
Use ComfyUI:
API-first design
Reproducible workflows
Easy automation
JSON export/import
For Video/Animation
Use ComfyUI:
AnimateDiff support
Frame-by-frame control
Video processing nodes
Complex pipelines
For Production
Use ComfyUI:
Best performance
API automation
Workflow version control
Queue management
Migration Paths
From Fooocus to SD WebUI
When you need more control:
Same models work in both
Learn prompt syntax (similar)
Explore extensions gradually
Start with txt2img tab
From SD WebUI to ComfyUI
When you need automation:
Models are compatible
Start with basic txt2img workflow
Learn node connections
Convert workflows gradually
Workflow Equivalents
Simple txt2img:
Fooocus
Prompt → Generate
SD WebUI
Prompt → Settings → Generate
ComfyUI
6-8 nodes connected
Docker Quick Reference
Fooocus
SD WebUI
ComfyUI
Summary
Fooocus
Simplicity, quick results, Midjourney-like
SD WebUI (A1111)
SD1.5/SDXL features, extensions, community support
SD WebUI Forge
A1111 features + full FLUX.1 / SD3.5 support
ComfyUI
Control, automation, performance, FLUX workflows
Most users start with Fooocus, graduate to SD WebUI Forge for more features and FLUX support, and move to ComfyUI for production workflows.
2025 Recommendation for FLUX.1 & SD3.5
Best for FLUX.1: Use ComfyUI (maximum control) or SD WebUI Forge (familiar A1111-style UI)
Avoid A1111 (original) for FLUX/SD3.5 — use Forge instead, which is a drop-in replacement with full new model support
Next Steps
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