Stable Diffusion WebUI
The browser interface that made Stable Diffusion usable for everyone.
What it is
Stable Diffusion WebUI is a browser front end for generating images with diffusion models. It wraps a Python back end in a page of controls — prompt, negative prompt, steps, sampler, seed, image-to-image, inpainting — so you can experiment without writing a script for every change.
It became the reference interface for the Stable Diffusion 1.5 era and is still widely used, with a large library of extensions that add features and model support. Installation pulls a substantial Python environment and model weights, so it wants a machine with a capable GPU and several gigabytes of free disk.
Reach for it if you want the familiar, control-heavy workflow and access to the extensions built around it. If you are starting fresh today, newer interfaces have more momentum, and this project's development has visibly slowed.
Why we recommend it
The controls are all on one page
Every important parameter is exposed and adjustable in the browser, which makes it the fastest way to learn what each setting does. That hands-on loop is why it spread so widely.
A huge extension ecosystem
Extensions add upscaling, face fixes, extra samplers, control tools and more. Years of community work sit on top of this interface, and much of it has not been rebuilt elsewhere.
Familiar to a generation of users
Countless tutorials and guides assume this exact UI. If you are following instructions or troubleshooting with others, matching their interface removes a whole class of confusion.
Runs locally with full control of your files
Images, models and settings stay on your machine, and you can drop in any compatible checkpoint. Nothing about the workflow depends on a hosted service or an account.
How it scores
These are our editorial ratings, not benchmark results. We score on how the project behaves in practice — how long it takes to get running, how good the documentation is, how responsive the maintainers are, and how well it holds up over time. The licence and star count above are read from GitHub and are a snapshot.
Pros and cons
Strengths
- Comprehensive, hands-on control over every generation parameter
- Enormous extension library built up over several years
- Large body of tutorials, guides and shared settings online
- Runs entirely locally, with no account or service
- Supports image-to-image, inpainting and outpainting out of the box
Trade-offs
- Development has slowed; newer tools get features first
- AGPL 3.0 licence: offering a modified version as a network service obliges you to release your source
- Installs a heavy Python and CUDA stack, and needs a decent GPU to be usable
- The interface feels dated next to newer node-based tools
How to get it
One-line install
Prefer the terminal? Copy a command and you are done.
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && cd stable-diffusion-webui && webui-user.bat
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && cd stable-diffusion-webui && ./webui.sh
Source and documentation
At a glance
| Category | Image AI |
|---|---|
| Licence | AGPL 3.0 |
| Written in | Python |
| GitHub stars | 164,885 |
| Repository | AUTOMATIC1111/stable-diffusion-webui |
Licence and star count were read from the GitHub API when this page was generated and are a snapshot. Check the repository for the current figure and the authoritative licence text.
Other Image AI tools
We are not affiliated with Stable Diffusion WebUI or its maintainers. We list it because it is genuinely useful and genuinely free. If you plan to build a commercial product on top of it, read the licence on the repository first.