# Image Gen: ComfyUI vs SD WebUI vs Fooocus

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

{% hint style="success" %}
All interfaces available on [CLORE.AI Marketplace](https://clore.ai/marketplace).
{% endhint %}

{% hint style="info" %}
**2025 Update:** FLUX.1 is now the leading image generation model. For FLUX.1 and SD3.5, **ComfyUI** and **Stable Diffusion WebUI Forge** are the recommended UIs. See the [FLUX.1 Support Comparison](#flux1-support-comparison) section below.
{% endhint %}

## Quick Decision Guide

| Use Case              | Best Choice              | Why                             |
| --------------------- | ------------------------ | ------------------------------- |
| 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:

| UI                   | FLUX.1 Support                | SD3.5 Support  | Notes                                       |
| -------------------- | ----------------------------- | -------------- | ------------------------------------------- |
| **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):

```bash
git clone https://github.com/comfyanonymous/ComfyUI
cd ComfyUI
pip install -r requirements.txt
# Download FLUX.1 model to models/diffusion_models/
python main.py --listen 0.0.0.0
```

**SD WebUI Forge** (familiar UI):

```bash
git clone https://github.com/lllyasviel/stable-diffusion-webui-forge
cd stable-diffusion-webui-forge
./webui.sh --listen
# FLUX.1 models supported natively
```

{% hint style="warning" %}
**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.
{% endhint %}

### FLUX.1 Model Variants

| Model          | Size | Use Case                     | UI Compatibility             |
| -------------- | ---- | ---------------------------- | ---------------------------- |
| 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

| Feature            | ComfyUI     | SD WebUI (A1111) | SD WebUI Forge | Fooocus   |
| ------------------ | ----------- | ---------------- | -------------- | --------- |
| **Ease of Use**    | ⭐⭐          | ⭐⭐⭐⭐             | ⭐⭐⭐⭐           | ⭐⭐⭐⭐⭐     |
| **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

```bash
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

```bash
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

```bash
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

```bash
# 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 (A1111) | SD WebUI Forge | Fooocus   |
| -------------- | ------- | ---------------- | -------------- | --------- |
| 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

| 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

```yaml
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

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

### ComfyUI

```yaml
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 (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

* [ComfyUI Guide](https://docs.clore.ai/guides/image-generation/comfyui)
* [SD WebUI Guide](https://docs.clore.ai/guides/image-generation/stable-diffusion-webui)
* [Fooocus Guide](https://docs.clore.ai/guides/image-generation/fooocus-simple-sd)
* [FLUX Guide](https://docs.clore.ai/guides/image-generation/flux)


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