ComicStrips

Text-to-Comic Strip Generation using LoRA fine-tuning

A text-to-comic strip generation project that leverages advanced deep learning techniques to transform textual descriptions into engaging comic strips.

Key Features

  • Python-based Reddit crawler for dataset creation (1000+ images)
  • Fine-tuned flux-dev model using Low Rank Adaption (LoRA)
  • Automatic data annotation pipeline using Large Vision Model
  • Deployed on Hugging Face with 20,000+ downloads

Technical Details

The project utilizes state-of-the-art techniques in computer vision and natural language processing to generate comic strips from text descriptions. The model was fine-tuned using LoRA to maintain efficiency while achieving high-quality results.

More details coming soon!

View the code on GitHub