Apps · Desktop app
Forge Neo
The maintained branch of Stable Diffusion WebUI Forge: the familiar A1111 layout, with FLUX, Qwen-Image and Z-Image and low-VRAM tricks.
WindowsLinux
At a glance
- Best for
- AUTOMATIC1111 and Forge users who want to keep that interface.
- Inference engine
- PyTorch (Forge)
- GPU support
- NVIDIA CUDA
- AMD ROCm
- Opens
- Safetensors (original weights)
- GGUF
- Features
- Chat window
- Web chat UI
- Offloads to RAM on small GPUs
- Platforms
- Windows and Linux with NVIDIA or AMD.
Install
Windows
git clone -b neo https://github.com/Haoming02/sd-webui-forge-classicLinux
git clone -b neo https://github.com/Haoming02/sd-webui-forge-classic30 models on this site run in Forge Neo
| Model | Made by | Type | Size | Opens it as | Quality tier |
|---|---|---|---|---|---|
| Qwen-Image 2.1 | Alibaba | Image | 7.1B | Built-in support | 93 |
| FLUX.2 [dev] | Black Forest Labs | Image | 32.2B | Built-in support | 92 |
| FLUX 3 Image Klein | Black Forest Labs | Image | 5.6B | Built-in support | 91 |
| Qwen-Image 2512 | Alibaba | Image | 20.4B | Built-in support | 90 |
| Qwen-Image 2.1 Turbo | Alibaba | Image | 7.1B | Built-in support | 89 |
| Qwen-Image | Alibaba | Image | 20.4B | Built-in support | 88 |
| Qwen-Image-Edit 2511 | Alibaba | Image | 20.4B | Built-in support | 86 |
| FLUX.2 [klein] 9B | Black Forest Labs | Image | 9.1B | Built-in support | 84 |
| Z-Image Turbo | Alibaba (Tongyi) | Image | 6.2B | Built-in support | 84 |
| FLUX.1 Kontext [dev] | Black Forest Labs | Image | 11.9B | Built-in support | 82 |
| FLUX.1 Krea [dev] | Black Forest Labs | Image | 11.9B | Built-in support | 82 |
| Z-Image | Alibaba (Tongyi) | Image | 6.2B | Built-in support | 82 |
| FLUX.1 [dev] | Black Forest Labs | Image | 11.9B | Built-in support | 80 |
| FLUX.2 [klein] 4B | Black Forest Labs | Image | 3.9B | Built-in support | 78 |
| FLUX.1 Fill [dev] | Black Forest Labs | Image | 11.9B | Built-in support | 76 |
| FLUX.1 [schnell] | Black Forest Labs | Image | 11.9B | Built-in support | 70 |
| Juggernaut XL v9 | RunDiffusion | Image | 2.6B | Built-in support | 62 |
| RealVisXL V5.0 | SG161222 | Image | 2.6B | Built-in support | 62 |
| Animagine XL 4.0 | Cagliostro Lab | Image | 2.6B | Built-in support | 60 |
| Illustrious XL v0.1 | OnomaAI | Image | 2.6B | Built-in support | 60 |
| DreamShaper XL v2 Turbo | Lykon | Image | 2.6B | Built-in support | 58 |
| Pony Diffusion V6 XL | PurpleSmartAI | Image | 2.6B | Built-in support | 58 |
| Animagine XL 3.1 | Cagliostro Lab | Image | 2.6B | Built-in support | 56 |
| Stable Diffusion XL 1.0 | Stability AI | Image | 2.6B | Built-in support | 55 |
| SDXL-Lightning (4-step) | ByteDance | Image | 2.6B | Built-in support | 54 |
| Realistic Vision V5.1 | SG161222 | Image | 0.9B | Built-in support | 42 |
| DreamShaper 8 | Lykon | Image | 0.9B | Built-in support | 40 |
| SDXL Turbo | Stability AI | Image | 2.6B | Built-in support | 40 |
| Stable Diffusion 1.5 | Stability AI / Runway | Image | 0.9B | Built-in support | 35 |
| LCM DreamShaper v7 | Tsinghua (LCM) | Image | 0.9B | Built-in support | 30 |
Alternatives
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.