- Tag.get_or_create now returns None for invalid tag names instead of creating error tags
- Add null checks before using tag.id in all callers
- Adjust tag validation: non-Chinese tags now limited to 8 words or 40 characters
- Change Tag.get_or_create to return None for invalid tag names
- Add None checks at all call sites to prevent AttributeError
- Protects against invalid Chinese names (>16 chars) and other language names (>8 words)
- Ensures system stability when encountering problematic tag data
Important performance optimization for handling large tag datasets:
- When total tags > 8192, limit 'pos' type tags to top 4096 by count
- Return all non-pos tags without limitation
- Significantly reduces memory usage and load time for large databases
- Maintains functionality while improving performance with massive tag counts
- Add tag name validation in Tag.get_or_create method
- Chinese names: max 16 characters
- Other languages: max 8 words
- Return error tags with uppercase English names when validation fails
- Ensure error tags are created through get_or_create to maintain database consistency
- Clean up database: removed 487,938 non-custom tags, keeping only 12 custom tags
- Add IIB_COMFYUI_EXTRACT_ALL_PROMPTS environment variable
- When enabled, extract all CLIPTextEncode prompts instead of following KSampler chain
- Note: All prompts will be merged into positive prompt field
- Add IIB_COMFYUI_EXTRACT_ALL_PROMPTS environment variable
- When enabled, extract all CLIPTextEncode prompts instead of following KSampler chain
- Note: All prompts will be merged into positive prompt field
- Add keyword count limit (default 600) for Tag layer to improve performance
- Implement irregular node layout with random perturbations
- Add layer spacing based on adjacent layer widths for consistent gaps
- Add cache result banner with collapse/expand functionality
- Add streaming response utility for LLM API calls
- Update i18n translations for new cache banner texts
- Optimize tag graph: increase max tags to 500, add level-2 tiered requirements
- Fix keyword deduplication and null handling in tag graph
- Add get_all_keywords_frequency method to TopicTitleCache
- Initialize keyword frequency from historical cached cluster keywords
- Prioritize top 100 high-frequency keywords when generating new keywords
- Update LLM prompt to prefer existing keywords from frequency list
- Reduce duplicate/similar keyword generation across clusters
- Add streaming support for tag_graph LLM requests
- Increase LLM timeout and retry limits for better reliability
Features:
- Tag-based relationship graph using force-directed layout
- Hybrid weight calculation (frequency + TF-IDF)
- Automatic community detection using Louvain algorithm
- Interactive visualization with ECharts
- Support for Tag and Cluster nodes
- Click to search images by tag
- Top-N filtering to avoid visual clutter
Backend:
- New API endpoint: POST /db/cluster_tag_graph
- Tag weight calculation with configurable alpha
- Category inference (character/style/scene/object)
- Community detection (requires networkx, optional)
Frontend:
- New component: TagRelationGraph.vue
- Switch between Cluster Cards and Tag Graph views
- Interactive graph with drag/zoom/pan
- Node details panel with search functionality
- Stats panel showing tags/clusters/images count
Documentation:
- Added TAG_GRAPH_README.md with usage guide
Co-Authored-By: Claude <noreply@anthropic.com>
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