Introduced a new node to split prompts into HIGH and LOW variants based on LoRA tags using Ollama. This includes:
- Implementation of the WANLoRAHighLowSplitterNode class with methods for tag extraction and classification.
- Updated __init__.py to include the new node in the module.
- Enhanced settings.json to allow for additional permissions.
- Removed deprecated settings.local.json file.
- Added unit tests to validate the functionality of the new splitter node.
This feature improves the handling of WAN 2.2 prompts by providing a structured way to manage LoRA tag variations.
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