- Add gradient overlay to card header for better icon readability
- Update base model label to display sub-type abbreviation alongside base model
- Add separator between sub-type and base model for visual clarity
- Improve label styling with flex layout, adjusted padding, and enhanced backdrop filter
- Add helper functions for sub-type abbreviation retrieval and display names
This commit resolves the semantic confusion around the model_type field by
clearly distinguishing between:
- scanner_type: architecture-level (lora/checkpoint/embedding)
- sub_type: business-level subtype (lora/locon/dora/checkpoint/diffusion_model/embedding)
Backend Changes:
- Rename model_type to sub_type in CheckpointMetadata and EmbeddingMetadata
- Add resolve_sub_type() and normalize_sub_type() in model_query.py
- Update checkpoint_scanner to use _resolve_sub_type()
- Update service format_response to include both sub_type and model_type
- Add VALID_*_SUB_TYPES constants with backward compatible aliases
Frontend Changes:
- Add MODEL_SUBTYPE_DISPLAY_NAMES constants
- Keep MODEL_TYPE_DISPLAY_NAMES as backward compatible alias
Testing:
- Add 43 new tests covering sub_type resolution and API response
Documentation:
- Add refactoring todo document to docs/technical/
BREAKING CHANGE: None - full backward compatibility maintained
Add new model constants for Flux.2 D and ZImageTurbo to the BASE_MODELS object,
along with their corresponding abbreviations in BASE_MODEL_ABBREVIATIONS. Also
include these new models in the appropriate categories within BASE_MODEL_CATEGORIES.
This update ensures the application can properly recognize and handle these
newly supported AI models in the system.
- Add BASE_MODEL_ABBREVIATIONS mapping and getBaseModelAbbreviation utility function
- Replace full base model names with abbreviated versions in ModelCard component
- Implement fallback abbreviation generation for unknown base models
- Maintain full base model name in tooltip for accessibility
- Improve card layout by reducing label width while preserving information
Add support for {model_name} and {version_name} placeholders in download path templates. These new placeholders allow for more flexible and descriptive file organization by including the actual model name and version name in the download directory structure.
Changes include:
- Updated download_manager.py and utils.py to handle new placeholders
- Added placeholders to constants.js for UI reference
- Updated settings modal template to show available placeholders
- Added comprehensive tests to verify placeholder functionality
This enhancement provides users with more control over how downloaded models are organized on their file system.
- Implemented the WanVideo Lora Select node in Python with input handling for low memory loading and LORA syntax processing.
- Updated the JavaScript side to register the new node and manage its widget interactions.
- Enhanced constants files to include the new node type and its corresponding ID.
- Modified existing Lora Loader and Stacker references to accommodate the new node in various workflows and UI components.
- Added example workflow JSON for the new node to demonstrate its usage.
