- Remove debug code and console.log statements
- Fix test suite to properly mock folder_paths module
- Update test expectations to match actual implementation
- Add comprehensive README documentation with feature list
- Add placeholder images for documentation screenshots
- Include diagnostic scripts for testing embedding paths
- All tests passing (338 passed, 2 skipped)
Features implemented:
- Autocomplete for embeddings, LoRAs, and custom tags
- Custom word list loading from URL (with security validation)
- Configurable triggers and settings
- Auto-insert comma, replace underscores, Tab/Enter selection
- Smart scrolling in suggestion list
- Secure content validation to prevent XSS attacks
Credits to pythongosssss/ComfyUI-Custom-Scripts for inspiration
- Add debug/test panel to the node with helpful usage hints
- Display counts of available embeddings and LoRAs
- Show sample items and status information
- Include clear instructions for triggering autocomplete
- Update display name with 🫶 branding
- Make node an OUTPUT_NODE to display information
- Implement centralized settings registry for all KikoTools
- Create KikoEmbeddingAutocomplete node with backend API
- Add frontend JavaScript autocomplete widget with ComfyUI integration
- Support for embeddings and LoRAs with smart filtering
- Configurable settings in ComfyUI UI with 🫶 branding
- Include keyboard navigation and real-time suggestions
- Implement film grain effect with customizable parameters (scale, strength, saturation, toe, seed)
- Use pure PyTorch operations for better GPU utilization (no OpenCV dependencies)
- Apply ITU-R BT.709 color space conversion for accurate grain distribution
- Implement screen blend mode for better highlight preservation
- Add channel-specific weighting matching real film characteristics (3x blue, 2x red)
- Preserve alpha channel when present
- Add comprehensive test suite (20 tests covering all functionality)
- Include documentation and example workflow
- Register node under ComfyAssets/image category
Improvements over reference implementation:
- More efficient memory management avoiding numpy/OpenCV conversions
- Better grain mixing algorithm with proper color science
- Improved performance through PyTorch-native operations
BREAKING CHANGE: Node categories now use emoji-based organization
Add 6 new xyz-helper nodes adapted from comfyui-essentials-nodes:
- FluxSamplerParams: FLUX-optimized parameter generator with batch support
- LoRAFolderBatch: Batch process multiple LoRAs from folders
- PlotParameters: Visualize parameter effects with graphs
- SamplerSelectHelper: Intelligent sampler selection with recommendations
- SchedulerSelectHelper: Optimal scheduler selection for samplers
- TextEncodeSamplerParams: Combined text encoding and parameter management
Changes:
- Port and enhance nodes from comfyui-essentials (now in maintenance mode)
- Add comprehensive documentation with attribution to original author (cubiq)
- Create example workflows for xyz-helpers tools
- Update all node categories to use emoji-based organization
- Fix all unit tests to pass with new category system
- Update README with xyz-helpers section and attribution
Attribution: xyz-helpers adapted from github.com/cubiq/ComfyUI_essentials
All tests passing (318 pass, 2 skip)
Display Text improvements:
- Add new DisplayText node with intelligent prompt detection and split view
- Implement text wrapping that reflows when node is resized
- Add scrollable content with mouse wheel support and visual indicators
- Include always-visible copy button with visual feedback for easy prompt copying
- Auto-detect SDXL-style prompts and display in side-by-side format
- Strip prompt labels when copying for direct use in workflows
Gemini model refresh functionality:
- Add refresh button to fetch latest available Gemini models dynamically
- Implement model caching system with persistent storage
- Support for Gemini 2.0 and 2.5 models with automatic detection
- Enhanced SDXL prompt template with improved layered structure
- Better error handling and status feedback for model operations
Documentation and version updates:
- Update README with comprehensive Display Text and Gemini feature descriptions
- Add detailed usage examples and workflow patterns
- Bump version to 1.0.9 in pyproject.toml
- Update stats to reflect 8 total nodes and new AI integration features
- Universal input acceptance for any data type
- Two display modes: raw value and tensor shape
- Extracts tensor shapes from nested structures
- Comprehensive unit tests with 100% coverage
- Full documentation with usage examples
- OUTPUT_NODE for UI display functionality
- Add GeminiPromptNode for AI-powered prompt engineering
- Integrates with Google's Gemini API for prompt generation
- Includes various prompt templates and generation modes
- Add comprehensive tests and documentation
- Register node in ComfyAssets category
- Add ImageToMultipleOfNode for image dimension adjustment
- Ensures image dimensions are multiples of specified values
- Supports both padding and cropping modes
- Useful for model-specific dimension requirements
- Add tests and documentation
- Register node in ComfyAssets category
Vito Sansevero