AUTOMATIC1111 Stable Diffusion WebUI

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What AUTOMATIC1111 Stable Diffusion WebUI is

AUTOMATIC1111 Stable Diffusion WebUI is a Gradio-based web interface for Stable Diffusion image generation and editing. It provides text-to-image and image-to-image modes, with inpainting, outpainting, color sketch, and prompt matrix tools. The Extras tab offers face restoration and upscalers including GFPGAN, CodeFormer, RealESRGAN, ESRGAN, SwinIR, Swin2SR, and LDSR. Users can train embeddings and hypernetworks, use LoRAs, and add community scripts or extensions. The project lists support for Stable Diffusion 2.0, Alt-Diffusion, and Segmind Stable Diffusion, plus an API. Images can be saved as PNG or JPEG. Installation guidance covers Windows, Linux, and Apple Silicon Macs, with other hardware instructions for AMD, Intel, and Ascend systems. A one-click setup still requires Python and Git. The project lists 4 GB video-card support, with reports of 2 GB working, while low-VRAM options can reduce memory use at a performance cost.

Who it suits

It suits users running a local or self-hosted image interface and contributors building scripts or extensions. It is also suitable for people needing generation, editing, training, and upscaling tools.

What it does well

Supports text-to-image and image-to-image modes
Includes inpainting and outpainting
Offers many restoration and upscaling tools
Provides an API
Licensed under GNU AGPLv3

What to know first

One-click setup still requires Python and Git
Low-VRAM options can reduce performance
Runs without warranty under the license

Verdict

This free interface combines image generation, editing, training, extensions, and an API in a self-hosted workflow. Installation requirements and hardware setup should be checked before use.

Facts from AUTOMATIC1111 Stable Diffusion WebUI's own pages

API: The README lists an API, and the wiki says to enable it with the --api command-line argument. · github.com, 12 Oct 2026
API access: Yes · github.com, 20 Sept 2026
Customization: Users can train embeddings and hypernetworks, use LoRAs, and add community custom scripts and extensions. · github.com, 11 Oct 2026
Editing tools: Listed tools include outpainting, inpainting, color sketch, and prompt matrix. · github.com, 12 Oct 2026
Extensions: The project supports custom scripts and community extensions, including optional History and Aesthetic Gradients extensions. · github.com, 12 Oct 2026
Free plan: Yes · github.com, 20 Sept 2026
Hardware: The README recommends NVIDIA GPUs and also links setup instructions for AMD GPUs, Intel CPUs and GPUs, and Ascend NPUs. · github.com, 11 Oct 2026
Image editing: Features include color sketch, prompt matrix, tiling, and batch processing. · github.com, 11 Oct 2026
Image enhancement: The Extras tab includes face restoration and image upscalers such as GFPGAN, CodeFormer, RealESRGAN, ESRGAN, SwinIR, Swin2SR, and LDSR. · github.com, 11 Oct 2026
Image generation: The interface provides text-to-image and image-to-image modes. · github.com, 12 Oct 2026
Installation: The README links installation instructions for NVIDIA and AMD GPUs, Intel CPUs and GPUs, Ascend NPUs, and Apple Silicon. · github.com, 12 Oct 2026
Integrations: The README lists integrations or support for xformers, DeepDanbooru, and Composable-Diffusion. · github.com, 12 Oct 2026
Intended users: The repository provides installation instructions and developer documentation for users running the interface and contributors building scripts or extensions. · github.com, 12 Oct 2026
License: The repository identifies its license as AGPL-3.0. · github.com, 12 Oct 2026
Local installation: The project provides installation instructions for Windows, Linux, and Apple Silicon Macs. · github.com, 11 Oct 2026
Local setup: The NVIDIA setup guide describes launching the interface at a local URL and says low-VRAM options can reduce memory use at the cost of performance. · github.com, 12 Oct 2026
Low-memory support: The feature list says 4 GB video cards are supported, with reports of 2 GB working. · github.com, 11 Oct 2026
Model support: The project lists support for Stable Diffusion 2.0, Alt-Diffusion, and Segmind Stable Diffusion. · github.com, 11 Oct 2026
Model training: The README lists a Training tab with hypernetwork and embedding options, plus image preprocessing features. · github.com, 12 Oct 2026
Output formats: PNG,JPEG · github.com, 20 Sept 2026
Purpose: Stable Diffusion web UI is a browser interface for Stable Diffusion built with the Gradio library. · github.com, 12 Oct 2026
Reference images: Yes · github.com, 20 Sept 2026
Requirements: The README says the one-click install and run script still requires Python and Git. · github.com, 12 Oct 2026
Security: The repository's Security page opened, but the page content did not provide a security or compliance statement. · github.com, 12 Oct 2026