Forge

Optimized Stable Diffusion WebUI fork focused on faster inference and easier development.

Open SourceSelf HostedOffline CapableGPU Required
0.0 (0)

About

Forge builds on the AUTOMATIC1111 Stable Diffusion WebUI, taking its name from Minecraft Forge to signal its role as an experimentation platform for the original UI. Created by lllyasviel, the author of ControlNet, it tracks SD WebUI 1.10.1 and syncs with upstream roughly every 90 days, so existing checkpoints and many extensions carry over. Its main contributions are a rewritten GPU memory management system that lowers VRAM requirements and speeds up inference, and a Unet patcher that lets developers modify the diffusion process at the UNet level without invasive forks. Model support extends beyond upstream to Flux, including NF4 and GGUF quantized variants, alongside SDXL, LoRAs, ControlNets, IP-Adapters, and InstantID, all within a Gradio 4 interface that adds canvas tools with pen pressure sensitivity. One-click Windows packages bundle CUDA and PyTorch. Released under the AGPL-3.0 license, it suits users on modest GPUs and developers testing new diffusion techniques.

Should you use Forge?

Pick it when

Pick Forge when you like the AUTOMATIC1111 interface but run a modest GPU, or want Flux, including NF4 and GGUF builds, alongside SDXL, LoRAs, and ControlNet in one familiar UI with one-click Windows packages.

Look elsewhere when

Skip it if you need every A1111 extension to work, since many but not all carry over, or you want complex reusable pipelines, where ComfyUI node graphs fit better. AGPL-3.0 also matters if you serve a modified copy.

Alternatives to Forge

  • Stable Diffusion WebUI

    The upstream original with the widest extension compatibility, but heavier VRAM use and no Flux support in its base feature set.

  • ComfyUI

    Node graphs cover more architectures and save as shareable JSON workflows under GPL-3.0, but the learning curve is much steeper.

  • Invoke AI

    Apache-2.0 with a unified canvas for inpainting and outpainting, a better base than AGPL code if you plan to build a commercial product.

  • Fooocus

    Far simpler prompt-only workflow on 4 GB cards, but it is bug-fix-only and will not move to newer architectures like Flux.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
AGPL-3.0
Added
May 7, 2026

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