Features implemented:
- MetaManExtractComponents: Extract individual workflow components from metadata JSON
- MetaManLoadAndConvert: Combined load + conversion functionality
- MetaManEmbedAndSave: Clean metadata embedding and save functionality
- Updated node registrations in __init__.py
Priority 2 delivers the most valuable workflow: 'stealing' specific parameters
from any image to use directly in ComfyUI workflows via individual typed outputs:
- positive_prompt, negative_prompt (STRING)
- steps, seed, width, height (INT)
- cfg_scale, denoising_strength (FLOAT)
- sampler, scheduler, model_name, loras (STRING)
Ready for testing with ComfyUI_00070_.png test case.
- Create MetaManLoadImage node that loads images with metadata preserved
- Extracts ComfyUI workflow/prompt data directly from PNG files
- Returns both image tensor and metadata JSON
- Update MetaManUniversalNodeV2 to accept optional metadata_json input
- Prioritize metadata from load image node over PIL extraction
- Register new node in both metaman.py and __init__.py
Solves metadata stripping issue by reading files before ComfyUI processing.
- Universal metadata extraction and conversion across AI platforms
- Support for A1111, ComfyUI, Civitai, Forge, Tensor.AI, Leonardo.AI
- Template-driven architecture for easy platform extension
- Model dependency resolution with download URLs
- Custom 'meta' PNG chunk standard for cross-platform compatibility
- Comprehensive validation and testing system
PXL8D