Stable Diffusion WebUI vs Fooocus
A side-by-side comparison of two self-hosted ai image generation options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Stable Diffusion WebUI | Fooocus |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 68 · Good | 55 · Fair |
| Category | AI Image Generation | AI Image Generation |
| License | AGPL-3.0 | GPL-3.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, bare-metal, source | bare-metal, source |
| GitHub stars | ★ 165,073 | ★ 53,149 |
| First released | 2022 | 2023 |
| Replaces | Midjourney, DALL-E | Midjourney |
What are Stable Diffusion WebUI and Fooocus?
Stable Diffusion WebUI
Stable Diffusion WebUI by AUTOMATIC1111 is a feature-rich browser interface for text-to-image generation with diffusion models. It supports inpainting, outpainting, upscaling, LoRA, and a vast collection of community extensions.
- Text-to-image and image-to-image
- Inpainting and upscaling
- Extension ecosystem
- Prompt and parameter controls
Fooocus
Fooocus is an image-generation tool that focuses on simplicity, requiring no manual tweaking of complex parameters. It reimagines the Stable Diffusion workflow so users can type a prompt and get high-quality images immediately.
- Zero-configuration generation
- Automatic prompt enhancement
- Built-in style presets
- Low maintenance
Stable Diffusion WebUI vs Fooocus: key differences
Both projects are written in Python. Licensing differs — AGPL-3.0 for Stable Diffusion WebUI versus GPL-3.0 for Fooocus. Stable Diffusion WebUI has the considerably larger community, at 165,073 GitHub stars versus 53,149. Stable Diffusion WebUI lists first-class Docker deployment; Fooocus does not.
Last reviewed Aug 26, 2026 · 742 words
Fooocus was written as an argument against Automatic1111. Its author, lllyasviel, is the researcher behind ControlNet, and Fooocus takes the position that most of the dozens of controls on an A1111 txt2img tab are things the software should decide for you. So the two are not rivals so much as a thesis and its rebuttal: A1111 is a workbench holding every knob the community ever asked for, Fooocus is a prompt box with strong defaults and a hidden Advanced tab. Both are Gradio apps, both are Python, both list 8 GB minimum RAM and want an Nvidia card, and both have been in maintenance mode long enough that choosing between them means choosing which kind of frozen you prefer.
What the defaults do for you
Type "portrait of a lighthouse keeper, film still" into Fooocus and it silently expands the prompt with its GPT-2-based expander, applies a style preset, picks the sampler and scheduler, sets a resolution from a list of SDXL-native aspect ratios, and refines with a second pass. The result looks like a competent Midjourney output because Fooocus was tuned to produce exactly that. Type the same prompt into a fresh A1111 install and you get a 512x512 image from whatever checkpoint you loaded, at 20 steps of the default sampler, and it will look like 2022 until you learn what the sliders mean. That learning is the whole A1111 experience: negative prompts, CFG, hires fix, the right VAE, and a growing folder of LoRAs.
What A1111 has that Fooocus refuses to
The extension list. ControlNet as an extension with every preprocessor, ADetailer for face fixing, Dynamic Prompts for wildcards, regional prompting, training helpers, and hundreds more, on top of built-in inpainting with mask blur, mask padding, and inpaint-area controls that Fooocus reduces to a brush and an "improve detail" option. A1111 also still runs SD 1.5 checkpoints, which matters if you have a library of 1.5-era models and LoRAs; Fooocus is SDXL-only. The catalogue's 164,668 stars against Fooocus's 52,538 are the size of that accumulated tooling, and it is real, even if much of it was last updated in 2024.
Both are ageing, differently
A1111's releases have slowed to a trickle and it never gained Flux support; the active successor is Stable Diffusion WebUI Forge, a fork by the same lllyasviel that kept the A1111 interface and did add newer models. Fooocus itself went into limited long-term support in 2024 with bug fixes only. Neither will run the video models or newer image architectures that dominate the image generation category now. A1111 vs ComfyUI covers why ComfyUI became the default and ComfyUI vs Fooocus covers the beginner side of that; this comparison is for people who have decided they want a form, not a graph.
Installing and living with each
A1111 is a git clone plus webui.sh or webui-user.bat, which builds a Python venv and pulls several gigabytes of dependencies; the catalogue's "heavy Python dependencies" con is where most support threads start, usually around torch and CUDA versions. It serves on port 7860. Fooocus is a 7z archive on Windows or a clone plus one pip install on Linux, downloads its default SDXL checkpoint on first run, and serves on port 7865. Its "low maintenance" highlight is accurate for the same reason it is frozen: nothing changes, so nothing breaks. On VRAM, Fooocus's automatic offloading gives it a documented 4 GB Nvidia floor, while A1111 needs --medvram or --lowvram launch flags before an SDXL model is comfortable on the same card.
Decision table
| You | Pick |
|---|---|
| Want good SDXL images with zero learning | Fooocus |
| Library of SD 1.5 checkpoints and LoRAs | Automatic1111 |
| Serious inpainting and ControlNet work | Automatic1111 |
| 4-6 GB VRAM, do not want to learn launch flags | Fooocus |
| Reproducing a 2023-era tutorial exactly | Automatic1111 |
| Need Flux, SD3, or video models | Neither; ComfyUI |
What I'd do
For a single user who just wants pictures, Fooocus. For anyone who has reached for a slider in the last month, I would skip plain A1111 and install Forge instead, which keeps the same interface and most extensions while running newer models faster on the same GPU. The one case where I would still stand up original A1111 in 2026 is an extension that has not been ported.
Why pick each one
Choose Stable Diffusion WebUI if…
- Huge extension ecosystem
- Feature-rich interface
- Large community resources
Watch out for
- GPU strongly recommended
- Heavy Python dependencies
- Infrequent releases lately
Choose Fooocus if…
- Minimal setup required
- Excellent default quality
- Automatic prompt expansion
Watch out for
- Capable GPU needed
- Limited fine-grained control
Frequently asked questions
Is Stable Diffusion WebUI or Fooocus better?
Neither is universally better. Stable Diffusion WebUI has the larger community, while Fooocus is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Stable Diffusion WebUI and Fooocus free and open-source?
Yes. Stable Diffusion WebUI is licensed under AGPL-3.0 and Fooocus under GPL-3.0. Both can be self-hosted at no software cost.
Can I run Stable Diffusion WebUI and Fooocus with Docker?
Stable Diffusion WebUI: yes. Fooocus: check the project docs for container support.
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