AIAny
AI Image2022
Icon for item

Stable Diffusion web UI

Browser-based control panel for running Stable Diffusion locally, built on Gradio. Bundles txt2img, img2img, inpainting, outpainting, and upscalers (ESRGAN, GFPGAN, CodeFormer), plus an extension ecosystem and support for NVIDIA, AMD, and Intel GPUs.

Introduction

Long before Stability AI shipped an official consumer app, this is where most people actually used Stable Diffusion. One independent developer turned a raw research model into a daily tool by wrapping it in a Gradio interface — and it quietly became the de-facto reference UI that an entire extension ecosystem grew up around.

What Sets It Apart
  • It's a platform, not just a front-end: the extension API made it the place where new techniques (ControlNet, LoRA workflows, fresh samplers) often shipped first, ahead of commercial tools.
  • Everything runs on your own GPU — no per-image fees, no content filters, and full freedom to load custom checkpoints, embeddings, and VAEs.
  • One interface covers txt2img, img2img, inpainting/outpainting, textual inversion, and several upscalers, across NVIDIA, AMD, and Intel hardware.
Who It's For

Great fit if you want maximum control, local privacy, and early access to the community's bleeding-edge models and extensions. Look elsewhere if you'd rather have a polished, supported product, or a node-graph workflow for complex pipelines — ComfyUI has become the common choice there, and development pace here has slowed.

Information

  • Websitegithub.com
  • AuthorsAUTOMATIC1111, Community contributors
  • Published date2022/08/22

Categories

More Items

Hugging Face
AI Model2025

Performs open-vocabulary promptable segmentation and tracking on images and videos, returning instance masks and unique IDs from short noun-phrase or exemplar prompts. Trained on a 4M-concept, 52M-mask dataset; uses a presence head and a decoupled detector–tracker design, with near real-time inference for multi-object video.

Hugging Face
AI Model2026

Generates high-resolution images directly in pixel space and can be fine-tuned, without architectural changes, for monocular depth estimation and image restoration/upscaling. Built as a 3B-parameter diffusion transformer (no VAE), with shipped depth and 4× restoration fine-tunes; default outputs ~1024×1024.

Hugging Face
AI Image2026

Provides multiple quantized releases (GGUF, safetensors, MLX) of Qwen-Image-2.1 for local text-to-image generation; includes GPU- and Apple-Silicon–optimized quantizations, companion text encoders/VAEs, and recommended ComfyUI configurations.