LoraLoaderBypass - ComfyUI Built-in Node Documentation

The LoraLoaderBypass node applies a LoRA (Low-Rank Adaptation) to a diffusion model and a CLIP model in a special “bypass” mode.

The LoraLoaderBypass node applies a LoRA (Low-Rank Adaptation) to a diffusion model and a CLIP model in a special “bypass” mode. Unlike a standard LoRA loader, this method does not permanently modify the base model’s weights. Instead, it computes the result by adding the LoRA’s contribution to the model’s normal forward pass, which is useful for training or when working with models that have their weights offloaded.

Inputs

Parameter	Description	Data Type	Required	Range
model	The diffusion model the LoRA will be applied to.	MODEL	Yes	-
clip	The CLIP model the LoRA will be applied to.	CLIP	Yes	-
lora_name	The name of the LoRA. Available LoRA files are loaded from the loras folder.	COMBO	Yes	List of available LoRA files
strength_model	How strongly to modify the diffusion model. This value can be negative (default: 1.0).	FLOAT	Yes	-100.0 to 100.0 (step: 0.01)
strength_clip	How strongly to modify the CLIP model. This value can be negative (default: 1.0).	FLOAT	Yes	-100.0 to 100.0 (step: 0.01)

Note: If both strength_model and strength_clip are set to 0, the node returns the original, unmodified model and clip inputs without processing.

Note: The selected LoRA file is cached after it is first loaded. It is only re-read from disk when a different lora_name is chosen.

Outputs

Output Name	Description	Data Type
MODEL	The modified diffusion model.	MODEL
CLIP	The modified CLIP model.	CLIP

Note: This node is marked as experimental.

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