Image Gen: ComfyUI vs SD WebUI vs Fooocus

Choose the right interface for your image generation workflow on CLORE.AI.

All interfaces available on CLORE.AI Marketplace.

Quick Decision Guide

Use Case	Best Choice	Why
Beginners	Fooocus	Simplest, Midjourney-like
Most features	SD WebUI	Largest extension ecosystem
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

---

Overview Comparison

Feature	ComfyUI	SD WebUI	Fooocus
Ease of Use	⭐⭐	⭐⭐⭐⭐	⭐⭐⭐⭐⭐
Flexibility	⭐⭐⭐⭐⭐	⭐⭐⭐⭐	⭐⭐
Extensions	⭐⭐⭐⭐	⭐⭐⭐⭐⭐	⭐⭐
Performance	⭐⭐⭐⭐⭐	⭐⭐⭐	⭐⭐⭐⭐
API/Automation	⭐⭐⭐⭐⭐	⭐⭐⭐	⭐⭐
Learning Curve	Steep	Moderate	Easy
Best For	Power users	General use	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

git clone https://github.com/lllyasviel/Fooocus
cd Fooocus
pip install -r requirements.txt
python launch.py --listen

Docker:

Image: pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
Ports: 22/tcp, 7865/http

Interface

Simple and clean:

1. Enter prompt

2. Select style preset (Anime, Photorealistic, etc.)

3. Click Generate

4. Done!

Key Features

Feature	Description
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

1. Open Fooocus
2. Type: "A beautiful sunset over mountains"
3. Select style: "Photograph"
4. Click Generate
5. Get 2 high-quality images

---

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

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
cd stable-diffusion-webui
./webui.sh --listen --xformers

Docker:

Image: universonic/stable-diffusion-webui:latest
Ports: 22/tcp, 8080/http

Interface Tabs

Tab	Purpose
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

Feature	Description
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

ControlNet - Guided generation
ADetailer - Auto face/hand fix
Ultimate Upscale - Better upscaling
Regional Prompter - Multi-region prompts
Segment Anything - Smart selection

When to Use

• 🎯 Need specific extension

• 🎯 Complex inpainting tasks

• 🎯 ControlNet workflows

• 🎯 Training LoRAs

• 🎯 Batch processing with variations

Sample Workflow: ControlNet

1. Go to txt2img
2. Enter prompt: "Professional portrait, studio lighting"
3. Expand ControlNet section
4. Upload reference pose image
5. Select OpenPose preprocessor
6. Generate with pose guidance

---

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

git clone https://github.com/comfyanonymous/ComfyUI
cd ComfyUI
pip install -r requirements.txt
python main.py --listen 0.0.0.0

Docker:

Image: yanwk/comfyui-boot:cu126-slim
Ports: 22/tcp, 8188/http
Environment: CLI_ARGS=--listen 0.0.0.0

Node Basics

[Load Checkpoint] → MODEL, CLIP, VAE
        ↓
[CLIP Text Encode] → CONDITIONING
        ↓
[KSampler] → LATENT
        ↓
[VAE Decode] → IMAGE
        ↓
[Save Image]

Key Features

Feature	Description
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

# Install ComfyUI Manager first
cd custom_nodes
git clone https://github.com/ltdrdata/ComfyUI-Manager

# Popular nodes (install via Manager):
- ComfyUI-Impact-Pack
- ComfyUI-AnimateDiff
- ComfyUI-VideoHelperSuite
- rgthree-comfy
- ComfyUI-GGUF

When to Use

• 🎯 Complex multi-step workflows

• 🎯 Animation/video generation

• 🎯 Production automation

• 🎯 Custom processing pipelines

• 🎯 API integration

Sample Workflow: SDXL + Refiner

[Load SDXL Base] → [KSampler steps 1-20]
                         ↓
[Load SDXL Refiner] → [KSampler steps 21-30]
                         ↓
                   [VAE Decode] → [Save]

---

Feature Comparison

Generation Features

Feature	ComfyUI	SD WebUI	Fooocus
txt2img	✅	✅	✅
img2img	✅	✅	✅
Inpainting	✅	✅	✅ Basic
Outpainting	✅	✅	✅
ControlNet	✅	✅	Limited
IP-Adapter	✅	✅	✅
Upscaling	✅	✅	✅
Face Fix	✅	✅	✅

Model Support

Model	ComfyUI	SD WebUI	Fooocus
SD 1.5	✅	✅	✅
SD 2.x	✅	✅	✅
SDXL	✅	✅	✅
FLUX	✅	⚠️	✅
SD3	✅	⚠️	✅
LoRA	✅	✅	✅
Embeddings	✅	✅	✅

Technical Features

Feature	ComfyUI	SD WebUI	Fooocus
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)

Interface	Time	Notes
ComfyUI	3.0 sec	Most optimized
Fooocus	3.5 sec	Good defaults
SD WebUI	4.0 sec	More overhead

VRAM Usage (SDXL)

Interface	Idle	Generating
ComfyUI	4 GB	8 GB
Fooocus	5 GB	9 GB
SD WebUI	6 GB	10 GB

Startup Time

Interface	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:

1. Same models work in both

2. Learn prompt syntax (similar)

3. Explore extensions gradually

4. Start with txt2img tab

From SD WebUI to ComfyUI

When you need automation:

1. Models are compatible

2. Start with basic txt2img workflow

3. Learn node connections

4. Convert workflows gradually

Workflow Equivalents

Simple txt2img:

Interface	Steps
Fooocus	Prompt → Generate
SD WebUI	Prompt → Settings → Generate
ComfyUI	6-8 nodes connected

---

Docker Quick Reference

Fooocus

image: pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
ports: 22/tcp, 7865/http
command: git clone https://github.com/lllyasviel/Fooocus && cd Fooocus && pip install -r requirements.txt && python launch.py --listen

SD WebUI

image: universonic/stable-diffusion-webui:latest
ports: 22/tcp, 8080/http

ComfyUI

image: yanwk/comfyui-boot:cu126-slim
ports: 22/tcp, 8188/http
environment: CLI_ARGS=--listen 0.0.0.0

---

Summary

Choose	When You Want
Fooocus	Simplicity, quick results, Midjourney-like
SD WebUI	Features, extensions, community support
ComfyUI	Control, automation, performance

Most users start with Fooocus, graduate to SD WebUI for more features, and move to ComfyUI for production workflows.

---

Next Steps

• ComfyUI Guide

• SD WebUI Guide

• Fooocus Guide

• FLUX Guide