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✦ Free & open sourceGraphic Design

Stable Diffusion WebUI Forge

A platform built on the Stable Diffusion WebUI that aims for faster inference and leaner resource use.

Forge: faster Stable Diffusion WebUI base

One-click Windows package built on Gradio, syncing with the original WebUI every 90 days.

Free forever · open source · AGPL-3.0
✓ Light setup✓ Browser-based✓ Real-time collaboration
6.3
ZEKAI
One-click WebUI for Windows
Free & open source · Graphic Design
Ease of setup7
Usefulness6
Maintenance3.5
Community8.5
★ 13,122
GITHUB
Jul 2025
UPDATED
AGPL-3.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Forge is a platform on top of the Stable Diffusion WebUI, written by the author of Fooocus, aimed at easier development, better resource management and faster inference. It suits people who like the WebUI layout and want a one-click Windows install.

Runs on
Web
Hosting
Self-host
Languages
Python
License
AGPL-3.0

What it is

You download the one-click package, extract it, run update.bat and then run.bat. The README offers several CUDA and PyTorch builds, and says Forge syncs with the original WebUI every 90 days.

Who it's for

It suits Windows users with an Nvidia card who already know the WebUI style. It does not suit anyone who needs frequent releases; the latest commit on the default branch is from mid-2025.

Key features

One-click package

Git and Python are included; extract and run.

Resource management

Aims to optimise memory use and speed up inference.

Gradio interface

Built on Gradio like the original WebUI.

90-day syncs

Pulls in upstream WebUI changes every 90 days.

CUDA builds

Several CUDA and PyTorch combinations are offered.

Git branch install

Can also be installed as a branch of the WebUI.

How to start

Up and running in 3 steps

1
Download the one-click package from the repository README (the CUDA 12.1 plus PyTorch 2.3.1 build is marked recommended).
2
Extract it, run update.bat, then run run.bat.
3
Open the web page it starts, load a checkpoint and generate an image.
Real talk

Our honest verdict

What's great

  • The one-click package bundles git and Python, so there is no environment to build.
  • AGPL-3.0 code with a familiar WebUI layout if you already use that style.
  • It states a goal of faster inference and better resource handling than the base WebUI.
  • Several CUDA and PyTorch builds are offered, so you can match your driver.

Where it falls short

  • Needs a CUDA-capable GPU in practice; the README lists no VRAM minimum and no non-CUDA path.
  • The latest commit on the default branch is 2025-06-26, so updates are slow.
  • The README warns docs, UI and functionality may change because the project is under construction.
  • AGPL-3.0 means sharing source changes if you run a modified copy as a network service.
Cost

Pricing & license

Free under AGPL-3.0. The only cost is the GPU hardware you run it on; the project shows no paid hosted plan.

Paid work

Open remote AI-training roles

768 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Alternatives

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Use it, or have us set it up

📄 Free PDF: Stable Diffusion WebUI Forge for Graphic Design
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Questions

FAQ

What is the difference between Forge and the Stable Diffusion WebUI?

Forge is built on top of the WebUI to optimise resource management and speed up inference, and the README says it syncs with the original every 90 days.

Is Forge still updated?

Its latest commit on the default branch is dated 2025-06-26, so check the repository for recent activity before depending on it.

Can I use Forge commercially?

The code is AGPL-3.0, which allows commercial use but requires sharing source changes if you offer it as a network service. Model licences are separate.

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