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Consolidate AF3/Qwen pipelines, endpoint templates, and setup docs
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A newer version of the Gradio SDK is available: 6.10.0

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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) 

python scripts/hf_clone.py space --repo-id YOUR_USERNAME/YOUR_SPACE_NAME

Optional private Space:

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.