Apps · Desktop app
Fooocus
Type a prompt and get a good image: Midjourney-style simplicity for SDXL, with presets for styles, upscaling and inpainting.
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At a glance
- Best for
- Beginners who just want good SDXL images.
- Inference engine
- PyTorch
- GPU support
- NVIDIA CUDA
- AMD ROCm
- Apple Metal
- CPU only
- Opens
- Safetensors (original weights)
- Features
- Chat window
- Web chat UI
- Platforms
- In long-term support: bug fixes only, and SDXL models only.
Install
9 models on this site run in Fooocus
| Model | Made by | Type | Size | Opens it as | Quality tier |
|---|---|---|---|---|---|
| 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 |
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.