What It Does
LoraLoader takes a MODEL and CLIP from a checkpoint loader and applies a LoRA file with configurable strength for both the model and CLIP components independently. Multiple LoRA loaders can be chained to combine effects.
LoRA provenance is critical for reproducibility: the same prompt with different LoRA combinations produces dramatically different results. Each LoRA in the chain contributes to the final output, and the strength values determine the intensity of each effect.
ComfyUI records the LoRA filename and strength values in the workflow JSON, making LoRA usage fully traceable through Numonic extraction.
Inputs
modelMODELBase model to modify.
clipCLIPCLIP encoder to modify.
lora_nameSTRINGLoRA filename from the models/loras directory.
strength_modelFLOATLoRA strength applied to the model (0.0–2.0).
strength_clipFLOATLoRA strength applied to CLIP (0.0–2.0).
Outputs
MODELMODELModified model with LoRA applied.
CLIPCLIPModified CLIP with LoRA applied.
What Numonic Captures
- LoRA filename
- Model strength value
- CLIP strength value
- Position in LoRA chain (when multiple LoRAs used)
Known Gaps
- LoRA file hash — filename only
- LoRA training details (base model, trigger words)
- Effective combined strength when multiple LoRAs interact
Related Nodes
Capture ComfyUI metadata automatically
Numonic extracts workflow metadata from every ComfyUI generation — models, samplers, seeds, prompts, and custom nodes. Track provenance, maintain compliance, and never lose a workflow.