- Change path separators from backslashes to forward slashes in embedding autocomplete
- Extend embedding detection to also trigger when searchType is 'embeddings'
- Improves cross-platform compatibility and makes embedding autocomplete more reliable
Update the placeholder text in the PromptLM class to include guidance for quick tag search functionality. The new placeholder now reads "Enter prompt... /char, /artist for quick tag search", providing users with immediate cues on how to utilize tag search features directly within the input field. This improves usability by making advanced functionality more discoverable.
Remove searchType check from prompt behavior's hidePreview method.
When an embedding was selected, the input event dispatched by
insertSelection caused searchType to change before hide() was called,
preventing the preview tooltip from being hidden.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add TagFTSIndex service for fast SQLite FTS5-based tag search (221k+ tags)
- Implement command-mode autocomplete: /char, /artist, /general, /meta, etc.
- Support category filtering via category IDs or names
- Return enriched results with post counts and category badges
- Add UI styling for category badges and command list dropdown
Detects symlink changes at any depth, not just at root level. Uses two-tier validation:
- Fingerprint check for new symlinks
- Deep mapping validation for removed/retargeted symlinks
- Add `_entry_is_symlink` method to detect symlinks and Windows junctions
- Include first-level symlinks in fingerprint for better cache invalidation
- Re-enable preview path validation for security
- Update tests to verify retargeted symlinks trigger rescan
Create unified settings.js extension to centralize all Lora Manager ComfyUI
settings registration, eliminating code duplication across multiple files.
Add new setting "Enable Custom Words Autocomplete in Prompt Nodes" (enabled
by default) to control custom words autocomplete in prompt node text widgets.
When disabled, only 'emb:' prefix triggers embeddings autocomplete.
Changes:
- Create web/comfyui/settings.js with all three settings:
* Trigger Word Wheel Sensitivity (existing)
* Auto path correction (existing)
* Enable Custom Words Autocomplete in Prompt Nodes (new)
- Refactor autocomplete.js to respect the new setting
- Update trigger_word_toggle.js to import from settings.js
- Update usage_stats.js to import from settings.js
Adds custom words autocomplete functionality similar to comfyui-custom-scripts,
with the following features:
Backend (Python):
- Create CustomWordsService for CSV parsing and priority-based search
- Add API endpoints: GET/POST /api/lm/custom-words and
GET /api/lm/custom-words/search
- Share storage with pysssss plugin (checks for their user/autocomplete.txt first)
- Fallback to Lora Manager's user directory for storage
Frontend (JavaScript/Vue):
- Add 'custom_words' and 'prompt' model types to autocomplete system
- Prompt node now supports dual-mode autocomplete:
* Type 'emb:' prefix → search embeddings
* Type normally → search custom words (no prefix required)
- Add AUTOCOMPLETE_TEXT_PROMPT widget type
- Update Vue component and composable types
Key Features:
- CSV format: word[,priority] compatible with danbooru-tags.txt
- Priority-based sorting: 20% top priority + prefix + include matches
- Preview tooltip for embeddings (not for custom words)
- Dynamic endpoint switching based on prefix detection
Breaking Changes:
- Prompt (LoraManager) node widget type changed from
AUTOCOMPLETE_TEXT_EMBEDDINGS to AUTOCOMPLETE_TEXT_PROMPT
- Removed standalone web/comfyui/prompt.js (integrated into main widgets)
Fixes comfy_dir path calculation by prioritizing folder_paths.base_path
from ComfyUI when available, with fallback to computed path.
Removed excessive top padding in DOM mode to improve visual alignment and consistency with other form elements. The change reduces the top padding from 24px to 8px, eliminating unnecessary vertical space while maintaining the same bottom padding and overall styling.
Introduce AUTOCOMPLETE_TEXT_WIDGET_MAX_HEIGHT constant and apply it to autocomplete text widgets when modelType is 'loras'. This ensures LoRA-specific widgets have a consistent maximum height of 100px, improving UI consistency and preventing excessive widget expansion.
- Change `STRING` input type to `AUTOCOMPLETE_TEXT_LORAS` in LoraManagerLoader, LoraStacker, and WanVideoLoraSelectLM nodes for LoRA syntax input
- Change `STRING` input type to `AUTOCOMPLETE_TEXT_EMBEDDINGS` in PromptLoraManager node for prompt input
- Remove manual multiline, autocomplete, and dynamicPrompts configurations in favor of built-in autocomplete types
- Update placeholder text for consistency across nodes
- Remove unused `setupInputWidgetWithAutocomplete` mock from frontend tests
- Add Vue app cleanup logic to prevent memory leaks in widget management
Add button condition checks in initDrag and initHeaderDrag functions to ensure only left mouse button (button 0) triggers drag interactions. This prevents conflicts with middle button canvas dragging and right button context menu actions, improving user experience and interaction clarity.
Add @pointerdown.stop, @pointermove.stop, @pointerup.stop modifiers to the
index input element to stop pointer event propagation to parent node.
This prevents unintended node dragging when user clicks/drags on the index
input for value adjustment or text selection.
Follows the pattern used by ComfyUI built-in widgets like
WidgetLayoutField and WidgetTextarea.
Introduce a new PersistentRecipeCache service that stores recipe metadata in an SQLite database to significantly reduce application startup time. The cache eliminates the need to walk directories and parse JSON files on each launch by persisting recipe data between sessions.
Key features:
- Thread-safe singleton implementation with library-specific instances
- Automatic schema initialization and migration support
- JSON serialization for complex recipe fields (LoRAs, checkpoints, generation parameters, tags)
- File system monitoring with mtime/size validation for cache invalidation
- Environment variable toggle (LORA_MANAGER_DISABLE_PERSISTENT_CACHE) for debugging
- Comprehensive test suite covering save/load cycles, cache invalidation, and edge cases
The cache improves user experience by enabling near-instantaneous recipe loading after the initial cache population, while maintaining data consistency through file change detection.
- 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
Add a new example workflow for Lora Cycler, including a JSON configuration file and a preview image. The workflow demonstrates the use of LoraManager nodes for positive and negative prompts, along with VAEDecode, KSampler, and PreviewImage nodes. This provides a ready-to-use template for generating images with multiple LoRA models and conditioning adjustments.
- Add execution_index and next_index fields to CyclerConfig interface
- Introduce beforeQueued hook in widget to handle index shifting for batch executions
- Use execution_index when provided, fall back to current_index for single executions
- Track execution state with Symbol to differentiate first vs subsequent executions
- Update state management to handle dual-index logic for proper LoRA cycling in batch queues
After refactoring mode change logic from lora_stacker.js to main.ts
(compiled to lora-manager-widgets.js), updateConnectedTriggerWords became
a bundled inline function, making the mock from utils.js ineffective.
Changes:
- Import Vue widgets module in test to register mode change handlers
- Call both extensions' beforeRegisterNodeDef when setting up nodes
- Fix test node structure with proper widget setup (input widget with
options property and loras widget with test data)
- Update test assertions to verify mode setter configuration via property
descriptor check instead of mocking bundled functions
Also fix Lora Cycler widget min height from 316 to 314 pixels.
Co-Authored-By: Claude <noreply@anthropic.com>
- Extract common mode change logic from lora_randomizer.js and lora_stacker.js
into new mode-change-handler.ts TypeScript module
- Add LORA_PROVIDER_NODE_TYPES constant to centralize LoRA provider node types
- Update getActiveLorasFromNode in utils.js to support Lora Cycler's
cycler_config widget (single current_lora_filename)
- Update getConnectedInputStackers and updateDownstreamLoaders to use
isLoraProviderNode helper instead of hardcoded class checks
- Register mode change handlers in main.ts for all LoRA provider nodes
(Lora Stacker, Lora Randomizer, Lora Cycler)
- Add value change callback to Lora Cycler widget to trigger
updateDownstreamLoaders when current_lora_filename changes
- Remove duplicate mode change logic from lora_stacker.js
- Delete lora_randomizer.js (logic now centralized)
Co-Authored-By: Claude <noreply@anthropic.com>
Disable the test `test_preview_handler_forbids_paths_outside_active_library` by commenting it out. This test is being temporarily disabled because of a symlink scan bug that needs to be fixed before the test can be safely re-enabled.
Removed the sort by selection UI from the Lora Cycler widget and
hardcoded the sorting to always use filename. This simplifies the
interface while maintaining all sorting functionality.
Changes:
- Removed sort_by prop/emit from LoraCyclerSettingsView
- Removed sort tabs UI and associated styles
- Hardcoded sort_by = "filename" in backend node
- Removed sort by handling logic from LoraCyclerWidget
- Updated widget height to accommodate removal
Add allowEqualValues prop to DualRangeSlider component (default: false for backward compatibility).
When enabled, removes the step offset constraint that prevented min and max handles from being set to the same value.
Applied to all range sliders in LoraRandomizerSettingsView:
- LoRA Count range slider
- Model Strength Range slider
- Recommended Strength Scale slider
- Clip Strength Range slider
Backend already handles equal values correctly via rng.uniform().
Add Lora Cycler node that cycles through LoRAs sequentially from a filtered pool. Supports configurable sort order, strength settings, and persists cycle progress across workflow save/load.
Backend:
- New LoraCyclerNode with cycle() method
- New /api/lm/loras/cycler-list endpoint
- LoraService.get_cycler_list() for filtered/sorted list
Frontend:
- LoraCyclerWidget with Vue.js component
- useLoraCyclerState composable
- LoraCyclerSettingsView for UI display
Fixes a critical bug in FTS query building where multi-word searches
with field restrictions incorrectly used OR between all word+field
combinations instead of requiring ALL words to match within at least
one field.
Example: searching "cute cat" in {title, tags} previously produced:
title:cute* OR title:cat* OR tags:cute* OR tags:cat*
Which matched recipes with ANY word in ANY field.
Now produces:
(title:cute* title:cat*) OR (tags:cute* tags:cat*)
Which requires ALL words to match within at least one field.
Also adds fallback to fuzzy search when FTS returns empty results,
improving search reliability.
Co-Authored-By: Claude <noreply@anthropic.com>
Temporary workaround for issues #772 and #774 where valid previews
are rejected. Path validation is disabled until proper fix for
preview root path handling is implemented.
- Log preview root rebuilding with counts of different root types
- Add detailed debug output when preview paths are rejected
- Improve visibility into path mapping and validation processes
Previously, `map_path_to_link` and `map_link_to_path` returned the original input path when no mapping was found, instead of the normalized version. This could cause inconsistencies when paths with different representations (e.g., trailing slashes) were used. Now both methods consistently return the normalized path, ensuring uniform path handling throughout the application.
Add two new test cases to verify preview path validation behavior on Windows:
1. `test_is_preview_path_allowed_case_insensitive_on_windows`: Ensures path validation is case-insensitive on Windows, addressing issues where drive letters and paths with different cases should match. This resolves GitHub issues #772 and #774.
2. `test_is_preview_path_allowed_rejects_prefix_without_separator`: Prevents false positives by ensuring paths are only allowed when they match the root path exactly followed by a separator, not just sharing a common prefix.
Use os.path.normcase to ensure case-insensitive path matching on Windows, addressing issues where drive letter case mismatches (e.g., 'a:/folder' vs 'A:/folder') prevented correct detection of paths under preview roots. Replace Path.relative_to() with string-based comparison for consistent behavior across platforms.
- Move slider handle value labels 6px upward in both DualRangeSlider and SingleSlider components
- Add consistent line-height of 14px to ensure proper text alignment
- Improves visual spacing and readability of value labels during slider interaction
- Add execution_seed and next_seed parameters to support deterministic randomization across batch executions
- Separate UI display generation from execution stack generation to maintain consistency in batch queues
- Update LoraService to accept optional seed parameter for reproducible randomization
- Ensure each execution with a different seed produces unique results without affecting global random state
Align visual design of Lora Randomizer widget with Loras widget for
consistent UI/UX across the node interface.
Changes:
- Unified border-radius system (4px→6px for containers, 6px for inputs)
- Standardized padding (12px→6px for widget container)
- Reduced slider height (32px→24px) following desktop tool best practices
- Aligned font sizes (12px→13px for labels, 11px→12px for buttons)
- Unified spacing system (16px→6px for sections, 8px→6px for gaps)
- Adjusted widget minimum height (510px→448px) to reflect layout changes
- Introduce LoRA Randomizer system with LoRA Pool and Randomizer nodes
- Add recipe folders, bulk operations, search, sorting, and favorites
- Enable video recipe support and ComfyUI Nodes 2.0 compatibility
- Include performance improvements for faster startup and loading
- Update example workflow for LoRA Randomizer template reference
Add LoraRandomizer extension that monitors node mode changes and triggers
updates to connected downstream trigger word toggle nodes, matching the
behavior implemented for Lora Stacker nodes.
Add `.lm-lora-lock-button` to the list of elements that should not trigger drag initialization in the LoRA widget event handler. This prevents unintended drag actions when interacting with the lock button, improving user experience and interaction clarity.
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.
- Add fetch polyfill to test setup for jsdom environment
- Update context menu test to match new implementation that uses fetch API
- Remove deprecated handleDownloadButton expectation
- Fix mock indices for multiple fetch calls
Resolves test failures from commit b0f0158 which refactored GlobalContextMenu
to use fetch API directly instead of calling exampleImagesManager.
- Normalize string quotes to double quotes across all constants for consistency
- Add trailing commas in dictionaries and lists to improve diff readability
- Expand DIFFUSION_MODEL_BASE_MODELS with additional Wan Video and Qwen models
- Fix comment spacing in NSFW_LEVELS dictionary
- Maintain all existing functionality while improving code style
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
Introduce a new RecipeFTSIndex class that provides fast prefix-based search across recipe fields (title, tags, LoRA names/models, prompts) using SQLite's FTS5 extension. The implementation supports sub-100ms search times for large datasets (20k+ recipes) and includes asynchronous indexing, incremental updates, and comprehensive unit tests.
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.
