- Introduced `flux_dynamic_lora.py` for dynamic LoRA stacking and application.
- Added `zimage_loader.py` for loading Z-Image models with native ComfyUI support.
- Implemented UI enhancements in `bawk_nodes.js` for better usability and visual feedback.
- Created comprehensive documentation in `copilot-instructions.md` detailing node development patterns and integration.
- Established a new workflow example for Z-Image in `example_zimage_workflow.json`.
- Configured Pyright for type checking in `pyrightconfig.json`.
- Added input_image parameter for image-to-image generation.
- Updated resolution default to include MP information.
- Improved denoise tooltip for better user guidance.
- Implemented smart validation for Img2Img mode with feedback on denoise strength.
- Introduced _encode_image_to_latent method for encoding input images.
- Enhanced error handling and logging for better debugging.
feat: Introduce BawkBatchProcessor for batch processing of prompts
- Added support for loading prompts from CSV/JSON files.
- Implemented validation and extraction of settings from batch items.
- Included preview functionality for batch files before processing.
feat: Add BawkControlNet for ControlNet integration
- Implemented preprocessing for various ControlNet types (Canny, Depth, etc.).
- Added parameter validation and feedback for ControlNet processing.
- Created placeholder methods for ControlNet conditioning.
feat: Enhance BawkImageLoader with advanced image loading features
- Added options for auto-orienting images based on EXIF data.
- Implemented resizing and padding options for images.
- Included mask generation functionality for images with alpha channels.
chore: Update version to 2.0.5 in pyproject.toml
