Stable Diffusion WebUI
Long-running Gradio web UI for Stable Diffusion with a huge extension ecosystem, now in slow maintenance.
About
Usually called A1111 after its author's handle, this Gradio-based browser app became the reference front end for running Stable Diffusion checkpoints on a home GPU. It handles txt2img and img2img, inpainting and outpainting, the Hires fix pass, X/Y/Z parameter grids, prompt weighting and mid-generation prompt edits, LoRA, embeddings, checkpoint merging, and an Extras tab with GFPGAN, CodeFormer, ESRGAN, and SwinIR upscalers. Each PNG stores its generation settings so the image can restore them later, and a REST API plus a huge extension ecosystem let other tools drive it. Model support runs from SD 1.x and 2.x through SDXL, with Stable Diffusion 3 added in 1.10. Setup uses webui-user.bat or webui.sh with Python 3.10 or 3.11 and git; NVIDIA is the recommended path and cards with 4 GB can work, with guides for AMD, Intel, and Apple Silicon. Code is AGPL-3.0, and every checkpoint keeps its own license. The last tagged release, 1.10.1, came out in February 2025, and newer dev branch commits are mostly install and compatibility fixes, so it fits SD 1.5 and SDXL workflows better than the newest model families.
Should you use Stable Diffusion WebUI?
Pick it when
Pick the AUTOMATIC1111 WebUI when you work with SD 1.5 and SDXL checkpoints and want its large extension ecosystem and widely documented workflow, with fine control over sampling, inpainting, and upscaling in a browser.
Look elsewhere when
Skip it if you need Flux or a smaller VRAM footprint, where its fork Forge does better, or reusable multi-step pipelines, where ComfyUI fits. Its AGPL-3.0 license also applies to modified copies you serve to users.
Alternatives to Stable Diffusion WebUI
- Forge
Same interface with many extensions carrying over, plus lower VRAM use and Flux support, though it syncs upstream only about every 90 days.
- ComfyUI
Node workflows saved as JSON and support for SD3, Flux, Hunyuan, and more, at the cost of a much steeper learning curve.
- Invoke AI
Apache-2.0 with a unified canvas and model management, a safer base than AGPL code if you are building a commercial product.
- Fooocus
Prompt-and-go simplicity on 4 GB cards, but SDXL-based and in limited long-term support with bug fixes only.
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Details
- Category
- Image Generation
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- AGPL-3.0
- Minimum VRAM
- 4 GB
- Added
- Jan 29, 2026