- Add aliases column to tags table to store comma-separated alias lists
- Update FTS schema to version 2 with searchable_text field containing tag names and aliases
- Implement schema migration to rebuild index when upgrading from old schema
- Modify search logic to match aliases and return canonical tag with matched alias info
- Update index building to include aliases in searchable text for FTS matching
This enables users to search for tag aliases (e.g., "miku") and get results for the canonical tag (e.g., "hatsune_miku") with indication of which alias was matched.
- 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
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
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.
- Fix infinite reinitialization loop by only validating stale widget.inputEl when it's actually in DOM
- Improve findWidgetInputElement to specifically search for textarea for text widgets, avoiding mismatches with checkbox inputs on nodes like WanVideo Lora Select that have toggle switches
- Add data-node-id based element search as primary strategy for better reliability across rendering modes
- Fix autocomplete initialization to properly handle element DOM state transitions
Fixes autocomplete failing after Canvas ↔ Vue DOM mode switches and WanVideo node always failing to trigger autocomplete.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Only trigger autocomplete for embeddings when the current token starts with "emb:" prefix. This prevents interrupting normal prompt typing while maintaining quick manual access to embeddings suggestions.
- Add token parsing to support include/exclude search terms using "-" prefix
- Implement token-based matching logic for relative path searches
- Improve search result sorting by prioritizing prefix matches and match position
- Add frontend test for multi-token highlighting with exclusion support
- Updated all relevant routes in `stats_routes.py` and `update_routes.py` to include the new '/api/lm/' prefix for consistency.
- Modified API endpoint configurations in `apiConfig.js` to reflect the new structure, ensuring all CRUD and bulk operations are correctly routed.
- Adjusted fetch calls in various components and managers to utilize the updated API paths, including recipe, model, and example image operations.
- Ensured all instances of the old API paths were replaced with the new '/api/lm/' prefix across the codebase for uniformity and to prevent broken links.
- Added AutoComplete class to handle input suggestions based on user input.
- Integrated TextAreaCaretHelper for accurate positioning of the dropdown.
- Enhanced dropdown styling with a new color scheme and custom scrollbar.
- Implemented dynamic loading of preview tooltips for selected items.
- Added keyboard navigation support for dropdown items.
- Included functionality to insert selected items into the input field with usage tips.
- Created a separate TextAreaCaretHelper module for managing caret position calculations.
