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AUTOMATIC1111 Stable Diffusion WebUI

On the record

API
The README lists an API, and the wiki says to enable it with the --api command-line argument.github.com · read 12 Oct 2026
API access
Yesgithub.com · read 20 Sep 2026
Customization
Users can train embeddings and hypernetworks, use LoRAs, and add community custom scripts and extensions.github.com · read 11 Oct 2026
Editing tools
Listed tools include outpainting, inpainting, color sketch, and prompt matrix.github.com · read 12 Oct 2026
Extensions
The project supports custom scripts and community extensions, including optional History and Aesthetic Gradients extensions.github.com · read 12 Oct 2026
Hardware
The README recommends NVIDIA GPUs and also links setup instructions for AMD GPUs, Intel CPUs and GPUs, and Ascend NPUs.github.com · read 11 Oct 2026
Image editing
Features include color sketch, prompt matrix, tiling, and batch processing.github.com · read 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 · read 11 Oct 2026
Image generation
The interface provides text-to-image and image-to-image modes.github.com · read 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 · read 12 Oct 2026
Integrations
The README lists integrations or support for xformers, DeepDanbooru, and Composable-Diffusion.github.com · read 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 · read 12 Oct 2026
License
The repository identifies its license as AGPL-3.0.github.com · read 12 Oct 2026
Local installation
The project provides installation instructions for Windows, Linux, and Apple Silicon Macs.github.com · read 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 · read 12 Oct 2026
Low-memory support
The feature list says 4 GB video cards are supported, with reports of 2 GB working.github.com · read 11 Oct 2026
Model support
The project lists support for Stable Diffusion 2.0, Alt-Diffusion, and Segmind Stable Diffusion.github.com · read 11 Oct 2026
Model training
The README lists a Training tab with hypernetwork and embedding options, plus image preprocessing features.github.com · read 12 Oct 2026

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