Stable Diffusion WebUI

Community-built browser interface for running image models on your own machine

AI Image GenerationFree planOverseasβ˜…β˜…β˜…β˜…β˜… 5.0

What is Stable Diffusion WebUI?

AUTOMATIC1111's Stable Diffusion WebUI is a free, open-source browser interface for running image generation models locally. It exposes sampling methods, steps, guidance scale, seeds, prompt weighting and batch controls directly, and adds tabs for image-to-image, inpainting, upscaling and training. An extension system lets the community add ControlNet, custom upscalers and workflow helpers. It is a community project rather than an official Stability AI product and sits alongside newer alternatives such as ComfyUI.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Web interface exposing sampling method, steps, guidance and seed
  • Text-to-image, image-to-image, inpainting and outpainting tabs
  • Prompt weighting, negative prompts and batch generation controls
  • Built-in tools for upscaling, face restoration and interpolation
  • Extension system covering ControlNet, extra upscalers and utilities
  • Local training tabs for embeddings and additional model adapters

Pros & cons

Strengths

  • Free and open source, with no per-image limits or fees
  • Fine-grained control over every generation parameter
  • Large extension ecosystem maintained by the community

Watch out for

  • Community-maintained, not an official Stability AI product
  • Installation and updates can break with dependency changes
  • Interface is dense and assumes some technical familiarity

Best for & use cases

local image generation, parameter-level control, batch generation, custom workflows

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FAQ

Is this made by Stability AI?

No. It is an independent, community-maintained open-source project by AUTOMATIC1111 that runs Stable Diffusion and other compatible models. Support comes from its repository and community rather than from the model vendor.

Do I need to know how to code?

Not to use the interface, but installation involves command-line steps and Python dependencies, and troubleshooting is sometimes required. Users who want a simpler path often prefer a packaged build or a hosted service instead.

How does it differ from ComfyUI?

Both run the same class of models. SD WebUI presents a conventional form-based interface with tabs, while ComfyUI is built around a node graph. The choice usually comes down to whether you prefer filling in fields or wiring a pipeline.