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Image generationAGPL-3.0Python

Stable Diffusion WebUI (AUTOMATIC1111)

The classic browser UI for Stable Diffusion with a massive extension ecosystem.

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Live from the GitHub API · updated 2026-10-15

What is Stable Diffusion WebUI (AUTOMATIC1111)?

AUTOMATIC1111’s Stable Diffusion WebUI is the Gradio interface that popularized local image generation. It offers txt2img, img2img, inpainting, outpainting, upscaling and prompt tools out of the box, plus thousands of extensions such as ControlNet. Development has slowed, and newer forks (Forge, reForge, SD.Next) add support for newer models.

Key features

  • txt2img, img2img, inpainting, outpainting and upscaling tabs
  • Extensions tab with one-click installs (ControlNet, ADetailer, …)
  • Prompt matrix, X/Y/Z plots and batch processing
  • LoRA, textual inversion and hypernetwork support
  • Built-in API for automation

System requirements

Platforms
Windows · macOS · Linux
GPU
NVIDIA recommended; AMD and Apple Silicon supported with caveats
VRAM
4 GB minimum (with --medvram/--lowvram), 8 GB+ recommended
RAM
16 GB
Python
3.10.6 (newer versions are not supported by the install scripts)

How to install Stable Diffusion WebUI (AUTOMATIC1111)

Summarized from the project’s README. Projects change quickly — check the GitHub page for the latest instructions.

Windows

  1. 1
    Install Python 3.10.6 (tick “Add Python to PATH”) and Git.
  2. 2
    Clone the repository.
    git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
  3. 3
    Run webui-user.bat from Explorer as a normal user. The first run downloads dependencies.
  4. 4
    Open http://127.0.0.1:7860 in your browser.

Linux

  1. 1
    Install dependencies (Debian/Ubuntu shown).
    sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0
  2. 2
    Clone and launch.
    git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
./webui.sh

macOS (Apple Silicon)

  1. 1
    Install the build dependencies with Homebrew.
    brew install cmake protobuf rust python@3.10 git wget
  2. 2
    Clone and launch.
    git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
./webui.sh

Strengths

  • Huge library of extensions and tutorials
  • Familiar tabbed interface
  • Stable for SD1.5 and SDXL workflows

Limitations

  • Slow to adopt new architectures such as FLUX
  • Heavier on VRAM than Forge or ComfyUI
  • Pinned to an old Python version

Stable Diffusion WebUI (AUTOMATIC1111) alternatives compared

SoftwareStarsLicensePlatformsVRAM
Stable Diffusion WebUI (AUTOMATIC1111)

The classic browser UI for Stable Diffusion with a massive extension ecosystem.

165.1KAGPL-3.04 GB minimum (with --medvram/--lowvram), 8 GB+ recommended
Stable Diffusion WebUI Forge

A faster, leaner fork of the A1111 WebUI with FLUX support.

13.1KAGPL-3.06 GB+ (FLUX NF4/GGUF variants run on 6–8 GB)
SD.Next

All-in-one WebUI supporting dozens of diffusion models and every GPU backend.

7.4KApache-2.04 GB+ depending on model
ComfyUI

Node-based interface for diffusion models — images, video and audio.

137.6KGPL-3.04 GB minimum for SD1.5; 12 GB+ recommended for FLUX and video models
InvokeAI

Professional creative engine with a unified canvas for Stable Diffusion and FLUX.

28.6KApache-2.04 GB for SD1.5, 8 GB for SDXL, 10 GB+ for FLUX
Fooocus

Midjourney-like simplicity for SDXL: type a prompt and press Generate.

53.4KGPL-3.04 GB minimum, 6 GB+ recommended

Related models

Stable DiffusionThe open-source image model with the largest ecosystem.

FAQ

Is Stable Diffusion WebUI (AUTOMATIC1111) free?

Yes — Stable Diffusion WebUI (AUTOMATIC1111) is open-source software released under the AGPL-3.0 license. Check the license (and any model weight licenses) before commercial use.

Does Stable Diffusion WebUI (AUTOMATIC1111) run on Windows, Mac and Linux?

Stable Diffusion WebUI (AUTOMATIC1111) supports: Windows, macOS, Linux.

What hardware do I need for Stable Diffusion WebUI (AUTOMATIC1111)?

NVIDIA recommended; AMD and Apple Silicon supported with caveats. VRAM: 4 GB minimum (with --medvram/--lowvram), 8 GB+ recommended. RAM: 16 GB

How do I install Stable Diffusion WebUI (AUTOMATIC1111)?

1. Install Python 3.10.6 (tick “Add Python to PATH”) and Git. 2. Clone the repository. 3. Run webui-user.bat from Explorer as a normal user. The first run downloads dependencies. 4. Open http://127.0.0.1:7860 in your browser.

What are the best Stable Diffusion WebUI (AUTOMATIC1111) alternatives?

Popular alternatives include Stable Diffusion WebUI Forge, SD.Next, ComfyUI, InvokeAI. See the comparison table on this page.

Can I use Stable Diffusion WebUI (AUTOMATIC1111) online without installing it?

If you just want results, AiLoft runs top image models such as GPT Image 2.5 and Nano Banana Pro in the browser — no GPU or setup required.

Skip the install — generate images in your browser

No GPU, drivers or Python needed. Use GPT Image 2.5 and Nano Banana Pro online and compare them side by side.

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