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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

ParameterDescriptionData TypeRequiredRange
modelThe UNet model to modify with attention scaling factorsMODELYes-
qScaling factor for query components in cross-attention (default: 1.0)FLOATNo0.0 - 10.0
kScaling factor for key components in cross-attention (default: 1.0)FLOATNo0.0 - 10.0
vScaling factor for value components in cross-attention (default: 1.0)FLOATNo0.0 - 10.0
outScaling factor for output components in cross-attention (default: 1.0)FLOATNo0.0 - 10.0

Outputs

Output NameDescriptionData Type
modelThe modified UNet model with scaled cross-attention componentsMODEL
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