CLIPAttentionMultiply - ComfyUI Built-in Node Documentation

Complete documentation for the CLIPAttentionMultiply node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The CLIPAttentionMultiply node allows you to adjust the attention mechanism in CLIP models by applying multiplication factors to different components of the self-attention layers. It works by modifying the query, key, value, and output projection weights and biases in the CLIP model’s attention mechanism. This experimental node creates a modified copy of the input CLIP model with the specified scaling factors applied.

Inputs

Parameter	Data Type	Input Type	Default	Range	Description
clip	CLIP	required	-	-	The CLIP model to modify
q	FLOAT	required	1.0	0.0 - 10.0	Multiplication factor for query projection weights and biases
k	FLOAT	required	1.0	0.0 - 10.0	Multiplication factor for key projection weights and biases
v	FLOAT	required	1.0	0.0 - 10.0	Multiplication factor for value projection weights and biases
out	FLOAT	required	1.0	0.0 - 10.0	Multiplication factor for output projection weights and biases

Outputs

Output Name	Data Type	Description
CLIP	CLIP	Returns a modified CLIP model with the specified attention scaling factors applied