Stable Diffusion WebUI Forge
A faster, leaner fork of the A1111 WebUI with FLUX support.
- Stars
- 13.1K
- Forks
- 1.8K
- Open issues
- 1.2K
- Last commit
- 2025-07-31
Live from the GitHub API · updated 2026-10-15
What is Stable Diffusion WebUI Forge?
Forge, by ControlNet author lllyasviel, keeps the AUTOMATIC1111 interface but rewrites the backend for better memory management and speed. It runs FLUX and SDXL on GPUs that struggle with the original WebUI and bundles common extensions.
Key features
- A1111-style interface with a rewritten, more efficient backend
- FLUX, SDXL and SD1.5 support
- Lower VRAM use and faster generation on small GPUs
- Bundled ControlNet and other popular extensions
System requirements
- Platforms
- Windows · Linux · macOS
- GPU
- NVIDIA recommended
- VRAM
- 6 GB+ (FLUX NF4/GGUF variants run on 6–8 GB)
- RAM
- 16 GB+
How to install Stable Diffusion WebUI Forge
Summarized from the project’s README. Projects change quickly — check the GitHub page for the latest instructions.
Windows one-click package
- 1Download the one-click package linked in the README and extract it.
- 2Run update.bat to pull the latest version.
- 3Run run.bat and open the local URL it prints.
Manual (Git)
- 1Clone the repository.
git clone https://github.com/lllyasviel/stable-diffusion-webui-forge.git cd stable-diffusion-webui-forge - 2Launch with webui-user.bat (Windows) or ./webui.sh (Linux/macOS), as with A1111.
Strengths
- Runs FLUX in the familiar A1111 UI
- Noticeably better memory handling
- Most A1111 extensions work
Limitations
- Update cadence is irregular
- Some A1111 extensions are incompatible
Stable Diffusion WebUI Forge alternatives compared
| Software | Stars | License | Platforms | VRAM |
|---|---|---|---|---|
| Stable Diffusion WebUI Forge A faster, leaner fork of the A1111 WebUI with FLUX support. | 13.1K | AGPL-3.0 | 6 GB+ (FLUX NF4/GGUF variants run on 6–8 GB) | |
| Stable Diffusion WebUI (AUTOMATIC1111) The classic browser UI for Stable Diffusion with a massive extension ecosystem. | 165.1K | AGPL-3.0 | 4 GB minimum (with --medvram/--lowvram), 8 GB+ recommended | |
| ComfyUI Node-based interface for diffusion models — images, video and audio. | 137.6K | GPL-3.0 | 4 GB minimum for SD1.5; 12 GB+ recommended for FLUX and video models | |
| SD.Next All-in-one WebUI supporting dozens of diffusion models and every GPU backend. | 7.4K | Apache-2.0 | 4 GB+ depending on model | |
| SwarmUI A friendly generate tab on top of ComfyUI, with multi-GPU support. | 4.7K | MIT | 6 GB+ | |
| Fooocus Midjourney-like simplicity for SDXL: type a prompt and press Generate. | 53.4K | GPL-3.0 | 4 GB minimum, 6 GB+ recommended |
Related models
FAQ
Is Stable Diffusion WebUI Forge free?
Yes — Stable Diffusion WebUI Forge is open-source software released under the AGPL-3.0 license. Check the license (and any model weight licenses) before commercial use.
Does Stable Diffusion WebUI Forge run on Windows, Mac and Linux?
Stable Diffusion WebUI Forge supports: Windows, Linux, macOS.
What hardware do I need for Stable Diffusion WebUI Forge?
NVIDIA recommended. VRAM: 6 GB+ (FLUX NF4/GGUF variants run on 6–8 GB). RAM: 16 GB+
How do I install Stable Diffusion WebUI Forge?
1. Download the one-click package linked in the README and extract it. 2. Run update.bat to pull the latest version. 3. Run run.bat and open the local URL it prints.
What are the best Stable Diffusion WebUI Forge alternatives?
Popular alternatives include Stable Diffusion WebUI (AUTOMATIC1111), ComfyUI, SD.Next, SwarmUI. See the comparison table on this page.
Can I use Stable Diffusion WebUI Forge online without installing it?
If you just want results, AiLoft runs top image models such as GPT Image 2.5 and Nano Banana Pro in the browser — no GPU or setup required.
Skip the install — generate images in your browser
No GPU, drivers or Python needed. Use GPT Image 2.5 and Nano Banana Pro online and compare them side by side.