Train image LoRAs with Hugging Face Qwen Image i2L | Alpha | PandaiTech

Train image LoRAs with Hugging Face Qwen Image i2L

A guide on using Hugging Face Spaces to quickly train a LoRA model from a single image using Qwen Image i2L and generate new images with the trained style.

Learning Timeline
Key Insights

Processing Time Discrepancy

Contrary to typical workflows, the actual training of the LoRA takes only seconds, while generating the image using that LoRA takes significantly longer (around 48 seconds).

One-Shot Style Transfer

This workflow specifically utilizes 'Image to LoRA' (i2L) technology, allowing you to capture an art style from a single input image rather than requiring a large dataset.
Step by Step

Training a LoRA and Generating Images via Qwen Image i2L

  1. Navigate to the Qwen Image i2L Hugging Face Space.
  2. Upload the reference image you wish to mimic into the input image area.
  3. Click the training initiation button (often labeled 'Run' or 'Train') to create the LoRA model.
  4. Wait for the training process to complete (this typically takes a few seconds).
  5. Click the download button to save the trained LoRA file to your local device.
  6. Locate the testing/generation section within the same interface.
  7. Click the 'Generate Image' button to create a new visual using the trained LoRA style.
  8. Wait for the image generation process to complete (approx. 48 seconds).
  9. Review the final output to confirm it matches the art style of the original input.

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