- 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)
- Add PNG screenshots for 7 nodes in README.md
- Create missing documentation files (display_text.md, kiko_save_image.md)
- Update gemini_prompt.md with new features (model refresh, enhanced SDXL)
- Add missing example workflow JSON files for 5 nodes
- Include Display Any and Image to Multiple Of nodes in README
- Update node count from 8 to 10 in stats section
- 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 code quality tools: flake8, mypy, black, pre-commit
- Add .gitattributes for line ending consistency
- Add .secrets.baseline for secret scanning
- Update GitHub workflows for better CI/CD
- Update documentation formatting and examples
- Add CLAUDE.md for AI assistant guidance
- Add scripts directory for automation tools
- Update project configuration in pyproject.toml
- Improve type hints and code formatting across all modules
- Update test configurations and fixtures
- 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