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Stable Diffusion WebUI Forge

Open source

Platform built on Stable Diffusion WebUI that speeds up inference, manages resources better and supports Flux and experimental features.

Open-source alternative to

GitHub stars
13k
Last commit
1 yr ago
Repository age
2 years
Version
latest
Licence
AGPL-3.0
Self-hosted
Yes

About Stable Diffusion WebUI Forge

Stable Diffusion WebUI Forge is a platform layered on top of Stable Diffusion WebUI, which is based on Gradio. Its stated goals are to make development easier, manage resources more effectively, speed up inference and make it simpler to study experimental features. The name comes from Minecraft Forge, and the project aims to become the Forge for SD WebUI.

It is currently based on SD-WebUI 1.10.1, and because the original project has become mostly static, Forge syncs with it about every 90 days or when important fixes land. The documentation highlights support for Flux models in BitsandBytes NF4 and several GGUF quantization formats, including a GPU weight slider, offload and swap controls, and LoRA support. It also covers integrated ControlNet and LayerDiffuse transparent image editing.

Forge is written in Python, licensed under AGPL-3.0, and runs on your own machine. A one-click installation package that bundles git and Python is available. Users coming from the original UI should read the notes on the Gradio 4 interface, such as using the right mouse button to move the canvas.

Key features

  • Web UI for local Stable Diffusion image generation
  • Faster inference and improved memory management
  • Flux support with NF4 and GGUF models
  • GPU weight slider and offload controls
  • Integrated ControlNet and LayerDiffuse
  • One-click installation package

Good fit for

  • →Generating images locally on limited GPUs
  • →Running Flux models with quantized weights
Built with
Python
Tags
stable-diffusion
image-generation
gradio
flux
controlnet
local-ai
python
webui

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