| title: Visual Generative Model Playground | |
| emoji: 🎨 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.15.2 | |
| python_version: '3.12' | |
| app_file: app.py | |
| pinned: false | |
| short_description: Class-conditional BiliSakura diffusers playground on ZeroGPU | |
| # Visual Generative Model Playground | |
| Class-conditional image generation demo for [`BiliSakura/*-diffusers`](https://huggingface.co/BiliSakura) on **ZeroGPU**. | |
| Select a model, configure inference args (`class_labels`, `num_inference_steps`, `guidance_scale`, resolution), and generate. | |
| ## Hardware | |
| Set Space hardware to **ZeroGPU** in Settings. | |
| ## Models | |
| ADM, DiT, DiT-MoE, EDM2, FiT, iMF, JiT, LightningDiT, NiT, PixelFlow, PixNerd, pMF, Self-Flow, and SiT (47 variants). | |