UNetCrossAttentionMultiply - ComfyUI Built-in Node Documentation

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

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The UNetCrossAttentionMultiply node applies multiplication factors to the cross-attention mechanism in a UNet model. It allows you to scale the query, key, value, and output components of the cross-attention layers to experiment with different attention behaviors and effects.

Inputs

Parameter	Data Type	Required	Range	Description
model	MODEL	Yes	-	The UNet model to modify with attention scaling factors
q	FLOAT	No	0.0 - 10.0	Scaling factor for query components in cross-attention (default: 1.0)
k	FLOAT	No	0.0 - 10.0	Scaling factor for key components in cross-attention (default: 1.0)
v	FLOAT	No	0.0 - 10.0	Scaling factor for value components in cross-attention (default: 1.0)
out	FLOAT	No	0.0 - 10.0	Scaling factor for output components in cross-attention (default: 1.0)

Outputs

Output Name	Data Type	Description
model	MODEL	The modified UNet model with scaled cross-attention components