Add CSS rules to hide the model sub-type and separator elements when the compact-density class is applied. This change saves visual space in compact mode by removing less critical information, improving the layout for dense interfaces.
- Add Flux.2 Klein 9B, 9B-base, 4B, and 4B-base models to BASE_MODELS, BASE_MODEL_ABBREVIATIONS, and Flux Models category
- Include ZImageBase model and its abbreviation
- Add LTXV2 video model to BASE_MODELS, BASE_MODEL_ABBREVIATIONS, and Video Models category
- Update model categories to reflect new additions
- 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
- Remove backward compatibility code for `model_type` in `ModelScanner._build_cache_entry()`
- Update `CheckpointScanner` to only handle `sub_type` in `adjust_metadata()` and `adjust_cached_entry()`
- Delete deprecated aliases `resolve_civitai_model_type` and `normalize_civitai_model_type` from `model_query.py`
- Update frontend components (`RecipeModal.js`, `ModelCard.js`, etc.) to use `sub_type` instead of `model_type`
- Update API response format to return only `sub_type`, removing `model_type` from service responses
- Revise technical documentation to mark Phase 5 as completed and remove outdated TODO items
All cleanup tasks for the model type refactoring are now complete, ensuring consistent use of `sub_type` across the codebase.
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
Move filter preset creation, deletion, application, and storage logic
from FilterManager into a dedicated FilterPresetManager class to
improve separation of concerns and maintainability.
- Add FilterPresetManager with preset CRUD operations
- Update FilterManager to use preset manager via composition
- Handle EMPTY_WILDCARD_MARKER for wildcard base model filters
- Add preset-related translations to all locale files
- Update filter preset UI styling and interactions
Moves onboarding_completed and dismissed_banners from localStorage
to backend settings (settings.json) to survive incognito/private
browser modes.
Fixes#786
Add ability to save and manage filter presets for quick access to commonly used filter combinations.
Features:
- Save current active filters as named presets
- Apply presets with one click (shows active state with checkmark)
- Toggle presets on/off like regular filters
- Delete presets
- Presets stored in browser localStorage per page
- Default "WAN Models" preset for LoRA page
- Visual feedback: active preset highlighted, filter tags show blue outlines
- Inline "+ Add" button flows with preset tags
UI/UX improvements:
- Preset tags use same compact style as filter tags
- Active preset deactivates when filters manually changed
- Missing tags from presets automatically added to tag list
- Clear filters properly resets preset state
- Change badge from text label to icon-only for cleaner UI
- Adjust CSS for smaller circular badge with centered icon
- Maintain tooltip functionality for accessibility
- Update badge styling to be more compact and visually consistent
When users try to import custom example images without configuring the
download location, show a helpful guidance interface instead of failing
silently or showing an error after the fact.
Changes:
- ShowcaseView.js: Check if example_images_path is configured before
showing import interface; display setup guidance with open settings button
- showcase.css: Add styles for the setup guidance state
- locales: Add translation keys for all 10 supported languages
Clicking 'Open Settings' will:
1. Open the settings modal
2. Scroll to the Example Images section
3. Highlight the section with a brief animation
4. Focus the input field
Fixes#785
- Auto-commit input value when clicking save button
- Auto-commit on blur to handle users clicking outside input
- Fixes issue where users would type a trigger word and click save,
but the word wasn't added because they didn't press Enter first
- Maintains backward compatibility with existing comma-based workflows
- Modified backend to fetch last 5 releases from GitHub API
- Updated frontend to iterate through and display multiple releases
- Added latest badge and publish date styling
- Added update.latestBadge translation key to all locales
- Maintains backward compatibility for single changelog display
Move cleanupNavigationShortcuts() call before setting navigationModelType
to ensure the correct model type is preserved when using left/right arrow
keys to navigate between models. Previously, the cleanup would immediately
nullify navigationModelType, causing type-specific modal sections (like
trigger words for embeddings and usage tips for loras) to disappear.
When force=true is passed via API, models in failed_models set are
re-downloaded instead of being skipped. On successful download, model is
removed from failed_models set.
This provides a manual batch repair mechanism for users when CivitAI
media server is temporarily down and causes empty folders.
Changes:
- Backend: Add force parameter to start_download(), _download_all_example_images(), _process_model()
- Backend: Skip failed_models check when force=true
- Backend: Remove model from failed_models on successful force retry
- Frontend: GlobalContextMenu now calls API with force=true directly
- Tests: Update mock to accept force parameter
The default_unet_root setting was not being synced from backend to frontend
because it was missing from the _SYNC_KEYS tuple in misc_handlers.py. This
caused the "Default Diffusion Model Root" setting to always display "No Default"
even when a valid path was configured in settings.json.
- Add WSL detection and Windows path conversion using wslpath
- Add Docker/Kubernetes detection via /.dockerenv and /proc/1/cgroup
- Implement clipboard fallback for containerized environments
- Update open_file_location handler to detect WSL/Docker before POSIX
- Update open_settings_location handler with same detection logic
- Add clipboard API integration with graceful fallback in frontend
- Add translations for clipboard feature across all 10 languages
- Add unit tests for _is_wsl(), _is_docker(), and _wsl_to_windows_path()
Fixes file manager opening failures in WSL and Docker environments.
Updated image path resolution logic to prioritize local sibling images in the same directory as recipes. When a stored image path differs from a local sibling, the system now automatically updates the recipe file to use the local path and persists this repair. This improves reliability when recipe assets are moved or reorganized, ensuring images remain accessible even if original paths become invalid.
- Add `open_settings_location` method to `FileSystemHandler` to open OS file explorer at settings file location
- Register new POST route `/api/lm/settings/open-location` for settings file access
- Inject `SettingsManager` dependency into `FileSystemHandler` constructor
- Add cross-platform support for Windows, macOS, and Linux file explorers
- Include error handling for missing settings files and system exceptions
- Return cache entry data from model move operations for immediate UI updates
- Add recalculate_type parameter to update_single_model_cache for proper type adjustment
- Propagate cache entry through API layer to frontend MoveManager
- Enable virtual scroller to update moved items with new cache data
Add new move_recipes_bulk endpoint to handle moving multiple recipes simultaneously. This improves efficiency when reorganizing recipe collections by allowing batch operations instead of individual moves.
- Add move_recipes_bulk handler method with proper error handling
- Register new POST /api/lm/recipes/move-bulk route
- Implement bulk move logic in persistence service
- Validate required parameters (recipe_ids and target_path)
- Handle common error cases including validation, not found, and server errors
- Add GET /api/lm/recipes/roots endpoint to retrieve recipe root directories
- Add POST /api/lm/recipe/move endpoint to move recipes between directories
- Register new endpoints in route definitions
- Implement error handling for both new endpoints with proper status codes
- Enable recipe management operations for better file organization
- Add new API endpoints for folder operations: get_folders, get_folder_tree, and get_unified_folder_tree
- Extend recipe listing handler to support folder and recursive filtering parameters
- Register new folder-related routes in route definitions
- Enable users to organize and browse recipes using folder structures
