- Add CheckpointLoaderKJ to NODE_EXTRACTORS mapping for KJNodes support
- Enhance model filename generation in SaveImage to handle different data types
- Add proper type checking and fallback for model metadata values
- Improve robustness when processing checkpoint paths for filename generation
Add KJNodesModelLoaderExtractor to handle metadata extraction from KJNodes loaders that expose model_name. This supports GGUFLoaderKJ and DiffusionModelLoaderKJ nodes, ensuring consistent checkpoint metadata collection across different node types.
Change `load_metadata` method to return a tuple containing both the metadata object and a boolean success flag instead of just the metadata object. This provides clearer error handling and allows callers to distinguish between successful loads with null metadata versus actual load failures.
Add `allow_strength_adjustment` parameter to enable mouse wheel adjustment of trigger word strengths. When enabled, strength values are preserved and can be modified interactively. Also improves trigger word parsing by handling whitespace more consistently and adding debug logging for trigger data inspection.
- Add optional license_flags parameter to model preview API endpoint
- Include license flags in response when requested via query parameter
- Add CSS styles for license overlay and icons in tooltip
- Implement license flag parsing and icon mapping logic
- Display license restrictions as icons in preview tooltip overlay
This allows users to see model license restrictions directly in the preview tooltip without needing to navigate to detailed model information pages.
- Update frontend tag filter to cycle through include/exclude/clear states
- Add backend support for tag_include and tag_exclude query parameters
- Maintain backward compatibility with legacy tag parameter
- Store tag states as dictionary with 'include'/'exclude' values
- Update test matrix documentation to reflect new tag behavior
The changes enable more granular tag filtering where users can now explicitly include or exclude specific tags, rather than just adding tags to a simple inclusion list. This provides better control over search results and improves the filtering user experience.
Add support for filtering models by license requirements:
- credit_required: filter models that require credits or allow free use
- allow_selling_generated_content: filter models based on commercial usage rights
These filters use license_flags bitmask to determine model permissions and enable users to find models that match their specific usage requirements and budget constraints.
- Extract and preserve strength values from trigger words in format "(word:strength)"
- Maintain strength formatting when filtering active trigger words in both group and individual modes
- Update active state tracking to handle strength-modified words correctly
- Ensure backward compatibility with existing trigger word formats
Add RateLimitRetryingProvider and _RateLimitRetryHelper classes to handle rate limiting with exponential backoff retries. Update get_metadata_provider function to automatically wrap providers with rate limit handling. This improves reliability when external APIs return rate limit errors by implementing automatic retries with configurable delays and jitter.
Add hard reset and clean operations to ensure a clean working directory
before switching branches or checking out release tags. This prevents
local changes from interfering with the update process and ensures
consistent behavior across both nightly and release update paths.
- Simplify error handling logic by checking for "not found" message directly
- Extract model data fetching into separate _fetch_model_data method
- Extract version enrichment into separate _enrich_version_with_model_data method
- Improve logging consistency using %s formatting
- Rename variables for better clarity (result -> version, e -> exc)
- Update DEFAULT_LICENSE_FLAGS from 57 to 127 to enable all commercial modes by default
- Replace CommercialUseLevel enum with bitwise commercial permission handling
- Simplify commercial value normalization and validation using allowed values set
- Adjust bit shifting in license flag construction to accommodate new commercial bits structure
- Remove CommercialUseLevel from exports and update tests accordingly
- Improve handling of empty commercial use values with proper type checking
The changes streamline commercial permission processing and align with CivitAI's default license configuration while maintaining backward compatibility.
Add license resolution utilities and integrate license information into model metadata processing. The changes include:
- Add `resolve_license_payload` function to extract license data from Civitai model responses
- Integrate license information into model metadata in CivitaiClient and MetadataSyncService
- Add license flags support in model scanning and caching
- Implement CommercialUseLevel enum for standardized license classification
- Update model scanner to handle unknown fields when extracting metadata values
This ensures proper license attribution and compliance when working with Civitai models.
Remove legacy HTML scraping implementation of get_model_by_url method
and associated BeautifulSoup dependency. The functionality has been
replaced by API-based implementation in get_model_version method.
This simplifies the codebase and removes the optional bs4 dependency,
making the client more maintainable and reliable.
Convert all tags to lowercase in tag processing logic to prevent case sensitivity issues on Windows filesystems. This ensures consistent tag matching and prevents duplicate tags with different cases from being created.
Changes include:
- TagUpdateService now converts tags to lowercase before comparison
- Utils function converts model tags to lowercase before priority resolution
- Test cases updated to reflect lowercase tag expectations
Add GGUFLoaderExtractor class to handle metadata extraction for GGUF model loaders. Register extractor for both LoaderGGUF and LoaderGGUFAdvanced node types to capture checkpoint metadata from gguf_name input parameter. This enables proper metadata tracking for GGUF model files used in the system.
Update the plugin cleanup process to preserve the model_cache folder
along with settings.json and civitai. This prevents accidental deletion
of cached model files during plugin updates, improving performance by
avoiding unnecessary model re-downloads.
Refactor `_extract_size_bytes` method to prioritize primary model files when calculating size. The new implementation:
- Extracts size parsing into separate `parse_size` function
- Adds logic to prefer files marked as both "model" type and "primary"
- Falls back to first valid size if no primary model file found
- Adds comprehensive tests for primary preference and fallback behavior
This ensures more accurate size reporting for model files, particularly when multiple file types are present in the response.
Add a new filter option to show only models with available updates across all supported languages. This includes:
- Adding "updates" filter translations in all locale files (de, en, es, fr, he, ja, ko)
- Extending BaseModelApiClient to handle update_available_only query parameter
- Implementing update filter button in PageControls component with event listeners
- Adding corresponding CSS styles for active filter state
The feature allows users to quickly identify and focus on models that have updates available, improving the update management workflow.
Refactor _get_multipart_ext method to use known suffixes list for more reliable file extension detection. The new implementation handles compound file extensions like '.metadata.json.bak' and '.safetensors' by checking against predefined suffixes in order of length. Falls back to existing logic for unknown file types. This improves accuracy when working with model files that have complex naming conventions.
- Normalize folder paths before library bootstrap to ensure consistent structure
- Add _has_configured_paths helper to detect valid folder configurations
- Enhance bootstrap logic to handle edge cases with single libraries and empty paths
- Update library payload construction to use normalized paths
- Add example settings file changes to demonstrate new path structure
The changes ensure more robust library initialization when folder paths are configured at the top level but not properly propagated to individual libraries.
- Add standalone mode detection via LORA_MANAGER_STANDALONE environment variable
- Improve error handling for settings file loading with specific JSON decode errors
- Add startup messages system to communicate configuration warnings and errors to users
- Include settings file path and startup messages in settings API response
- Automatically save settings when bootstrapping from defaults due to missing/invalid settings file
- Add configuration warnings collection for environment variables and other settings issues
The changes improve robustness of settings management and provide better user feedback when configuration issues occur.
Add automatic synchronization of downloaded model versions with the update tracking system. After a successful download, the system now resolves model and version IDs from the download response and updates the update service with the newly downloaded version along with any existing local versions.
This ensures that:
- Update tracking accurately reflects which versions are available locally
- The system properly tracks both newly downloaded and existing versions
- Failed sync operations are gracefully handled with appropriate logging
- Support is included for LoRA, checkpoint, and embedding model types
