- Added a new optional parameter `custom_prompt` to the SaveImage class methods to allow users to override the default prompt.
- Updated the `format_metadata` method to utilize the custom prompt if provided.
- Modified the `save_images` and `process_image` methods to accept and pass the custom prompt through the workflow processing.
- Moved and redefined transform functions for KSampler, EmptyLatentImage, CLIPTextEncode, and FluxGuidance to improve organization and maintainability.
- Updated NODE_MAPPERS to include new input tracking for clip_skip in KSampler and added new transform functions for LatentUpscale and CLIPSetLastLayer.
- Enhanced the transform_sampler_custom_advanced function to handle clip_skip extraction from model inputs.
- Changed warning logs to debug logs in CivitaiClient and RecipeScanner for better log granularity.
- Updated the mapper registration function name for clarity and adjusted related logging messages.
- Enhanced extension loading process to automatically register mappers from NODE_MAPPERS_EXT, improving modularity and maintainability.
- Added KJNodes mappers for JoinStrings, StringConstantMultiline, and EmptyLatentImagePresets.
- Introduced transform functions to handle string joining, string constants, and dimension extraction with optional inversion.
- Registered new mappers and logged successful registration for better traceability.
- Updated LoraFileHandler to utilize the passed event loop for time retrieval instead of the current thread's event loop.
- Changed error logging for extension loading in mappers from error to warning level for better clarity.
- Updated LoraStackerMapper to handle multiple formats for lora_stack input, improving flexibility in processing existing stacks.
- Introduced caching for processed node results in WorkflowParser to optimize performance and prevent redundant processing.
- Added a new method to collect loras from model inputs, enhancing the ability to extract relevant data from the workflow.
- Improved handling of processed nodes to avoid cycles and ensure accurate results during workflow parsing.
- Improved reference handling in NodeMapper to support integer node IDs and added error logging for reference processing failures.
- Updated LoraLoaderMapper and LoraStackerMapper to handle lora_stack as a dictionary, ensuring compatibility with new data formats.
- Refactored trace_model_path utility to perform a depth-first search for LoRA nodes, improving the accuracy of model path tracing.
- Cleaned up unused code in parser.py related to LoRA processing, streamlining the workflow parsing logic.
- Introduced a new WorkflowParser class to streamline workflow parsing and manage node mappers.
- Added functionality to load external mappers dynamically from a specified directory.
- Refactored LoraLoaderMapper and LoraStackerMapper to handle new data formats for loras and trigger words.
- Updated recipe routes to utilize the new WorkflowParser for parsing workflows.
- Made adjustments to the flux_prompt.json to reflect changes in active states and class types.
- Deleted the `__init__.py`, `cli.py`, `extension_manager.py`, `integration_example.py`, `README.md`, `simple_test.py`, `test_parser.py`, `verify_workflow.py`, and `workflow_parser.py` files as they are no longer needed.
- Updated `.gitignore` to exclude new output files and test scripts.
- Cleaned up the node processors directory by removing all processor implementations and their registration logic.
