The model field now accepts either a manual string or a MODEL connection.
When wired, the model name is extracted from the patcher's
cached_patcher_init (registered by core loaders load_checkpoint_guess_config
and load_diffusion_model, preserved through LoRA clones) and converted to a
ComfyUI-style relative name via config model roots.
- model input declared as "STRING,MODEL" with widgetType STRING, so the
text widget and the dual-type connection slot coexist; non-STRING/MODEL
links are rejected by frontend and backend type validation
- UNETLoaderLM GGUF branch now registers a custom cached_patcher_init reload
factory so GGUF models participate in name extraction and ModelPatcher
deepclone/dynamic machinery
- shared collect_overwrite_params() helper keeps the node and the metadata
extractor conversion logic in sync; extraction failures are logged instead
of silently dropping the overwrite
GenericNodeExtractor (previously a no-op) now inspects
RETURN_TYPES to detect MODEL loaders and CONDITIONING
encoders in nodes not registered in NODE_EXTRACTORS.
- Propagate return_types from the hook layer through the
registry to GenericNodeExtractor.extract() and update().
- MODEL detection: scan ckpt_name/unet_name/model_path/
model_name/gguf_name fields, validate by extension.
- CONDITIONING detection: scan text/clip_l/t5xxl/prompt
fields, store prompt text and conditioning tensor.
- _fill_missing_metadata also checks node_cache, so
GenericNodeExtractor-handled nodes survive cache.
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.
- 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.
