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| title: Watermark Remover | |
| emoji: 🖼️ | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # Watermark / Text Remover | |
| AI-powered tool for removing watermarks, text, and unwanted objects from images. | |
| ## Features | |
| - **Watermark / Text Removal** — LaMa inpainting model | |
| - **Object Removal** — free-draw mask + LaMa inpainting | |
| - **Background Removal** — BiRefNet segmentation | |
| - **Image Upscaling** — Real-ESRGAN 4× | |
| - **Face Restoration** — CodeFormer + ArcFace identity guard | |
| - **Face Zoom** — per-face crop, upscale, and restore | |
| ## Usage | |
| Upload an image, select a feature from the sidebar, and follow the on-screen instructions. | |
| All processing runs on CPU — large images may take 10–30 seconds per operation. | |
| ## Local Development | |
| ```bash | |
| # Backend (Python 3.11+) | |
| cd backend | |
| pip install -r ../requirements.txt | |
| uvicorn app.main:app --reload --port 8000 | |
| # Frontend (Node 18+) | |
| cd frontend | |
| npm install | |
| npm run dev | |
| ``` | |
| Open `http://localhost:5173` in your browser. | |
| ## Model Weights | |
| | Model | Source | Size | | |
| |---|---|---| | |
| | LaMa (`lama.pth`) | Git LFS (committed to repo) | ~197 MB | | |
| | Real-ESRGAN (`RealESRGAN_x4plus.pth`) | Downloaded at build time | ~64 MB | | |
| | CodeFormer (`codeformer.pth`) | Downloaded at build time | ~360 MB | | |
| | BiRefNet | Downloaded at build time (HF Hub) | ~424 MB | | |
| | RetinaFace + ParseNet | Downloaded at build time (facexlib) | ~185 MB | | |
| | ArcFace IR-SE50 | Downloaded at build time (facexlib) | ~167 MB | | |
| | PaddleOCR | Downloaded at build time | ~200 MB | | |