AUTOMATIC1111 (stable-diffusion-webui)
The original SD power-user webUI.
OPEN SOURCE4–12 GB VRAM
VRAM fit4–12 GB
DATASHEET // FORGE
Stable Diffusion WebUI Forge
Optimized A1111 fork for low-VRAM cards.
OPEN SOURCE4–8 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKWorkflow Engine
Visit Stable Diffusion WebUI ForgeUPDATED 2026-05-03 · DIRECT LINK
HARDWARE REQUIREMENTS //
Runs locally · Entry GPU (6–8 GB)
Min VRAM
4 GB
Rec. VRAM
8 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
30 GB
GPU class
Entry GPU
CUDA 12.xNo Apple SiliconGPU RequiredQuant: FP16, FP8, NF4 +1
Designed for 4–8 GB cards. Flux NF4 runs on 6 GB.
[ EDITORIAL PICK ]
Why we recommend Stable Diffusion WebUI Forge
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Stable Diffusion WebUI Forge the company changes direction.
- Runs on 4 GB
Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.
- Workflow engine
Composable nodes — chain models together instead of being stuck with a single fixed pipeline.
- 4 quant formats
Supports FP16, FP8, NF4 and 1 more — you can dial VRAM use up or down to match your card.
[ 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.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyAdvanced
It's a workflow engine — you'll be installing the host plus model files, custom nodes, and CUDA / PyTorch matching your card.
- Hardware comfortEntry-level
Fits on 4 GB cards — GTX 1660 / RTX 3050 territory.
- EcosystemHub
Other tools in our catalogue plug into Stable Diffusion WebUI Forge — it's a workflow hub, not a leaf.
- VerificationRecent
Catalogue entry last updated 74 days ago — re-verification due soon.
[ COMMUNITY GUIDES & WORKFLOWS ]
Tutorials & deep-dives for Stable Diffusion WebUI Forge
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 Stable Diffusion WebUI Forge.
LIGHTEST HARDWARE //
AUTOMATIC1111 (stable-diffusion-webui)
The original SD power-user webUI.
OPEN SOURCE4–12 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 Stable Diffusion WebUI Forge?
A high-performance fork of AUTOMATIC1111 with major memory optimizations. Runs SDXL on 4–6 GB cards and includes built-in Flux support without extensions.
Pros & cons
✓ PROS
- Best low-VRAM SDXL/Flux performance
- Drop-in for A1111 users
- Built-in Flux NF4
– CONS
- Extension compatibility is a moving target
- Less active than upstream A1111
What's actually free?
Fully free / OSS.
✓ Actually FreeNo SignupOpen SourceWatermark-Free