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bd37cca 8bdd018 bd37cca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | # Deploy LoRA Studio To Your Own HF Space
This guide deploys the full LoRA Studio UI to your own Hugging Face Space.
For the dedicated Qwen captioning UI, see `docs/deploy/QWEN_SPACE.md`.
## Prerequisites
- Hugging Face account
- `HF_TOKEN` with repo write access
- Python environment with `requirements.txt` installed
## Fast Path (Recommended)
```bash
python scripts/hf_clone.py space --repo-id YOUR_USERNAME/YOUR_SPACE_NAME
```
Optional private Space:
```bash
python scripts/hf_clone.py space --repo-id YOUR_USERNAME/YOUR_SPACE_NAME --private
```
## Manual Path
1. Create a new Space on Hugging Face:
- SDK: `Gradio`
2. Push this repo content (excluding local artifacts) to that Space repo.
3. Ensure README front matter has:
- `sdk: gradio`
- `app_file: app.py`
4. In Space settings:
- select GPU hardware (A10G/A100/etc.) if needed
- add secrets (`HF_TOKEN`) if your flow requires private Hub access
## Runtime Notes
- Space output defaults to `/data/lora_output` on Hugging Face Spaces.
- Enable persistent storage if you need checkpoint retention across restarts.
- For long-running non-interactive training, HF Jobs may be more cost-efficient than keeping a Space running.
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