AUTOMATIC1111 Review (2026): Stable Diffusion WebUI Explained

AUTOMATIC1111, officially named "Stable Diffusion web UI," is a Python application built on the Gradio library that provides a browser-based, tab-organized interface for text-to-image (txt2img), image-to-image (img2img), inpainting, outpainting, and upscaling workflows using Stable Diffusion models. It runs entirely on your own machine and GPU — no image or prompt is sent to a third-party server unless you deliberately install an extension that does so.

The project name comes from its creator's GitHub handle, AUTOMATIC1111 — a pseudonymous developer whose real identity has not been publicly disclosed. The project is often referred to simply as "A1111" in community discussion.

AUTOMATIC1111 is a UI, not a model. It does not ship with Stable Diffusion weights included — you must separately download a checkpoint file (SD 1.5, SDXL, or a community fine-tune) and place it in the correct folder before you can generate anything. See PromptQuorum's Stable Diffusion review for what the underlying model actually is and its license terms by version.

It is one of several competing front-ends for Stable Diffusion, alongside ComfyUI (a node-graph-based interface offering more granular workflow control), InvokeAI (a more polished, professionally oriented UI), Fooocus (a simplified interface aimed at the fewest clicks to a usable image), and Stable Diffusion WebUI Forge (a fork of AUTOMATIC1111 itself, covered in the maintenance section below).

Stability AI, the CompVis research group at LMU Munich, and Runway ML publicly released Stable Diffusion on August 22, 2022. At launch, Stable Diffusion shipped as model weights and command-line scripts — there was no official graphical interface for typing a prompt and clicking a button.

AUTOMATIC1111 published the first version of Stable Diffusion web UI on GitHub the same day, August 22, 2022, building on earlier community scripts and adding a Gradio-based browser interface. The timing put it in the right place at the right moment: as Stable Diffusion's popularity exploded through late 2022, AUTOMATIC1111's UI became the default way most hobbyists actually ran it, accumulating tens of thousands of GitHub stars within months and, as of September 2026, over 164,000 stars — among the most-starred repositories in the local AI image-generation category.

Because it arrived first and absorbed most of the early community contributions, extension authors, and tutorial writers, AUTOMATIC1111 became the de facto standard reference implementation that later UIs (Forge, ComfyUI extensions, and community documentation sites) still describe features and workflows in relation to, even where those newer tools have since taken a different technical approach.

Installation and first-run steps are broadly the same across Windows, Linux, and Mac, though exact commands differ by platform — always confirm the current steps on the project's own wiki before starting, since dependency versions can change.

This section states what could be verified directly against GitHub's API at the time of writing, rather than repeating secondhand claims. The picture is neither "actively developed like a mainstream product" nor "abandoned" — it sits between the two: the stable master branch, which is what most one-click installers and existing documentation point to, has not received a new tagged release since July 2024, while the dev branch (used for testing changes before they are promoted) has continued to receive commits, just at a markedly slower pace than in 2022–2023.

The most credible outside signal comes from lllyasviel, the developer of Forge — a fork built specifically on top of AUTOMATIC1111's codebase. Forge's own README states it will "sync with original WebUI every 90 days, or when important fixes," directly because, in the fork maintainer's own words, "original SD-WebUI is almost static now." This is a maintainer of a closely related project describing AUTOMATIC1111's development pace, not a rumor — treat it as a strong, if not definitive, signal.

None of this means AUTOMATIC1111 stops working. It remains fully functional for Stable Diffusion 1.5 and SDXL workflows, its extension ecosystem is still active even where the core is not, and its install base and tutorial coverage are still larger than most alternatives'. The practical implication is about the future, not the present: readers who need first-day support for brand-new model architectures or active bug-fix turnaround should weight that against actively maintained forks like Forge, ComfyUI, or SD.Next, covered in the comparison table below.

AUTOMATIC1111's built-in Extensions tab lets users install community-built add-ons directly from a curated list or a Git URL, without editing code. This extension system, combined with the size of the userbase since 2022, produced one of the largest catalogs of Stable Diffusion tooling of any UI.

The single most widely used extension is sd-webui-controlnet (often just called "ControlNet" in the UI), which lets a reference image — a pose skeleton, a depth map, a canny-edge outline, or a rough sketch — guide the composition of a generated image far more precisely than a text prompt alone. It is widely regarded in community usage as the extension that most changed how people work in AUTOMATIC1111, and it remains one of the most-starred Stable Diffusion extensions on GitHub. PromptQuorum covers ControlNet in more depth in a dedicated article (see Related Reading below).

Beyond ControlNet, the extension list includes tools for LoRA (Low-Rank Adaptation) training and management, image browsing and tagging, prompt-history tracking, and workflow automation scripts. Because extensions are community-maintained and independent of AUTOMATIC1111's own release cadence, individual extensions can be actively updated even during periods when the core project sees fewer commits — but this also means extension quality and update frequency vary widely by author, so check an extension's own repository activity before relying on it for a production workflow.

AUTOMATIC1111's codebase is published under the AGPL-3.0 license, confirmed directly on its GitHub repository. AGPL-3.0 is a strong copyleft license: it permits free use, modification, and redistribution, but if you modify the code and run it as a network service that other people interact with, the license generally requires you to make your modified source available to those users as well. This differs from the Stable Diffusion model weights themselves, which carry their own separate license terms depending on which version you download — see PromptQuorum's Stable Diffusion review for those specifics, since the UI's license and the model's license are two separate legal documents.

There is no official paid tier, subscription, or hosted version of AUTOMATIC1111 offered by its maintainer. Third-party cloud services exist that host AUTOMATIC1111 instances for a fee (rented GPU time), but these are independent businesses, not an official product — verify any such service's own terms and pricing separately before paying for one, and note that using a third-party host means your prompts and images pass through that provider's infrastructure rather than staying fully local.

AUTOMATIC1111 earned its place as the default local Stable Diffusion interface by being first, and the resulting ecosystem — the ControlNet extension above all, alongside thousands of other community tools, tutorials, and forum answers — is still its strongest asset in 2026. That said, an honest review has to state plainly what the evidence shows: the core project's development pace has slowed markedly since mid-2024, with no new tagged release since v1.10.1 and its own most popular fork describing it as "almost static now." It still installs, still runs, and still produces good results on SD 1.5 and SDXL checkpoints, so readers already using it have no urgent reason to switch. But readers starting fresh in 2026, especially those who want the newest model architectures or the fastest bug-fix turnaround, should seriously evaluate Forge, ComfyUI, or SD.Next alongside it rather than defaulting to AUTOMATIC1111 purely on name recognition.