captioning using LLaVA models, including multiple caption styles,
model quantization options, and batch processing features.
📝 (Documentation): create JoyCaption integration guide with detailed
installation, usage, and troubleshooting instructions.
🔧 (Dependencies): update pyproject.toml to include JoyCaption
dependencies for HuggingFace and GGUF models.
♻️ (Code Organization): refactor joycaption module structure for
better organization and maintainability.
✅ (Tests): add necessary tests for new JoyCaption features and
functionality.
💡 (Comments): enhance comments and documentation within the
JoyCaption codebase for better clarity and understanding.