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DATASHEET // AUTOMATIC1111

AUTOMATIC1111 (stable-diffusion-webui)

The original SD power-user webUI.

OPEN SOURCE4–12 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPIWorkflow Engine
Visit AUTOMATIC1111 (stable-diffusion-webui)UPDATED 2026-04-30 · DIRECT LINK
github.com/AUTOMATIC1111/stable-diffusion-webui
AUTOMATIC1111 (stable-diffusion-webui) — preview image

HARDWARE REQUIREMENTS //

Runs locally · Mid GPU (12 GB)

4–12 GB VRAM
Min VRAM
4 GB
Rec. VRAM
12 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
30 GB
GPU class
Mid GPU
CUDA 11.8+Apple Silicon ✓GPU RequiredQuant: FP16, --lowvram, --medvram

Runs 4 GB cards with --lowvram, but expect long generations.

[ EDITORIAL PICK ]

Why we recommend AUTOMATIC1111 (stable-diffusion-webui)

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if AUTOMATIC1111 (stable-diffusion-webui) the company changes direction.

  • Runs on 4 GB

    Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Top-tier pick

    Power-user score 88/100 — consistently rated highly by people who use this every day, not just benchmark chasers.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

VRAM guide →

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Advanced

    It's a workflow engine — you'll be installing the host plus model files, custom nodes, and CUDA / PyTorch matching your card.

  • Hardware comfort
    Entry-level

    Fits on 4 GB cards — GTX 1660 / RTX 3050 territory.

  • Ecosystem
    Hub

    Other tools in our catalogue plug into AUTOMATIC1111 (stable-diffusion-webui) — it's a workflow hub, not a leaf.

  • Verification
    Recent

    Catalogue entry last updated 77 days ago — re-verification due soon.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for AUTOMATIC1111 (stable-diffusion-webui)

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other heavy image generation tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of AUTOMATIC1111 (stable-diffusion-webui).

LIGHTEST HARDWARE //

Stable Diffusion WebUI Forge

Optimized A1111 fork for low-VRAM cards.

OPEN SOURCE4–8 GB VRAM
BEST FREE OPTION //

ComfyUI

The nodal workflow engine for serious diffusion.

OPEN SOURCE6–16 GB VRAM
TOP QUALITY //

ComfyUI-Manager

Install, update, and govern ComfyUI custom nodes.

OPEN SOURCEVIA COMFYUI

What is AUTOMATIC1111 (stable-diffusion-webui)?

The classic Stable Diffusion WebUI. Less flexible than ComfyUI for novel models, but still the best place to learn parameter-driven SD/SDXL with a huge extension library (ControlNet, Roop, ADetailer, Regional Prompter).

Pros & cons

✓ PROS

  • Approachable forms-based UI
  • Massive extension ecosystem
  • Great for learning core SD params

– CONS

  • Slower to adopt new models
  • Gradio UI feels dated
  • Less efficient than ComfyUI on big workflows

What's actually free?

Fully free / open source. Hundreds of community extensions.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

ComfyUI

The nodal workflow engine for serious diffusion.

OPEN SOURCE6–16 GB VRAM
VRAM fit6–16 GB

InvokeAI

Production-leaning SD studio with canvas & batch.

OPEN SOURCE8–16 GB VRAM
VRAM fit8–16 GB