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| title: LoRA Preprocess UI | |
| emoji: 🧑🎨 | |
| colorFrom: indigo | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 4.21.0 | |
| python_version: "3.10" | |
| app_file: app.py | |
| pinned: false | |
| # LoRA Preprocess UI (Gradio) | |
| Upload ~8 photos (selfies + body), get aligned/clean/face-neutral variants and `captions.jsonl` for LoRA fine-tuning. | |
| ## Features | |
| - Face detection & aligned crops (OpenCV SSD) | |
| - Background removal (rembg u2netp) | |
| - Face-only neutralized variant to avoid memorizing clothes/jewelry | |
| - Optional Florence-2 captioning (set `FLORENCE_URL`, `FLORENCE_KEY` env vars) | |
| - Outputs saved under `outputs/preprocessed/` inside the container | |
| ## Run locally | |
| ``` | |
| pip install -r requirements.txt | |
| python3 app.py | |
| ``` | |
| ## Env vars (optional) | |
| - `FLORENCE_URL`: endpoint that returns JSON with `caption`/`text` | |
| - `FLORENCE_KEY`: bearer token for that endpoint | |