Fixes#394 — LoRAs loaded via rgthree Power Lora Loader were not
tracked in usage statistics because no extractor existed for that node.
New extractors:
- RgthreePowerLoraLoaderExtractor: parses LORA_* kwargs, respects
the per-LoRA 'on' toggle
- TensorRTLoaderExtractor: parses engine filename (strips _$profile
suffix) as best-effort for vanilla TRT. If the output MODEL has
attachments["source_model"] (set by NubeBuster fork), overrides
with the real checkpoint name.
TensorRTRefitLoader and TensorRTLoaderAuto take a MODEL input whose
upstream checkpoint loader is already tracked — no extractor needed.
Also adds a name:<filename> fallback and warning log in both
_process_checkpoints and _process_loras when hash lookup fails.
Fix issue #866 where the metadata hook's async wrapper used *args/**kwargs
which caused AttributeError when ComfyUI's make_locked_method_func tried
to access __func__ on the func parameter.
The async_map_node_over_list_with_metadata wrapper now uses the exact
same signature as ComfyUI's _async_map_node_over_list:
- Removed: *args, **kwargs
- Added: explicit v3_data=None parameter
This ensures the func parameter (always a string like obj.FUNCTION) is
passed correctly to make_locked_method_func without any type conversion.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add pre-processing step to populate missing parameters for candidate samplers, especially for SamplerCustomAdvanced requiring tracing
- Change sampler selection from most recent (closest to downstream) to first in execution order to prioritize base samplers over refine samplers
- Improve parameter handling by updating sampler parameters with traced values before ranking
- Maintain backward compatibility with fallback to first sampler if no criteria match
- Add support for `basic_pipe` nodes in metadata processor to handle pipeline nodes like FromBasicPipe
- Optimize `find_primary_checkpoint` by accepting optional `primary_sampler_id` to avoid redundant calculations
- Update `get_workflow_trace` to pass known primary sampler ID for improved efficiency
Update metadata registry to remove cache entries when node metadata becomes empty instead of keeping stale data. This prevents accumulation of unused cache entries and ensures cache only contains valid metadata. Added test case to verify cache behavior when LoRA configurations are removed.
- Add CheckpointLoaderKJ to NODE_EXTRACTORS mapping for KJNodes support
- Enhance model filename generation in SaveImage to handle different data types
- Add proper type checking and fallback for model metadata values
- Improve robustness when processing checkpoint paths for filename generation
Add KJNodesModelLoaderExtractor to handle metadata extraction from KJNodes loaders that expose model_name. This supports GGUFLoaderKJ and DiffusionModelLoaderKJ nodes, ensuring consistent checkpoint metadata collection across different node types.
Add GGUFLoaderExtractor class to handle metadata extraction for GGUF model loaders. Register extractor for both LoaderGGUF and LoaderGGUFAdvanced node types to capture checkpoint metadata from gguf_name input parameter. This enables proper metadata tracking for GGUF model files used in the system.
