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| title: CCTV Frame Restoration (Diffusion) | |
| emoji: 🎥 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| # CCTV Frame Restoration with Diffusion Model | |
| This demo is an AI-assisted development using **Claude Sonnet 5**. | |
| Restores low-resolution, noisy, low-light CCTV/security camera frames using the pretrained **Stable Diffusion x4 Upscaler** (`stabilityai/stable-diffusion-x4-upscaler`). | |
| Upload a low-quality frame, adjust the prompt/steps if you like, and get a 4x upscaled, denoised, sharpened result. | |
| **Note:** Input images are resized so their longest side is ≤128px before upscaling, matching the resolution the model was trained on. For CPU inference, it may take 1-3 minutes per image. | |
| **UI snapshot** | |
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