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UNetTemporalAttentionMultiply

_for_testing/attention_experimentsExperimental
UNetTemporalAttentionMultiply
Experimental: This node is experimental and its behavior may change without notice.

Example

JSON Example
{
  "class_type": "UNetTemporalAttentionMultiply",
  "inputs": {
    "model": [
      "node_id",
      0
    ],
    "self_structural": 1,
    "self_temporal": 1,
    "cross_structural": 1,
    "cross_temporal": 1
  }
}

This example shows required inputs only. Connection values like ["node_id", 0] should reference actual node IDs from your workflow.

Inputs

NameTypeStatusConstraintsDefault
modelMODELrequired--
self_structuralFLOATrequiredmin: 0, max: 10, step: 0.011
self_temporalFLOATrequiredmin: 0, max: 10, step: 0.011
cross_structuralFLOATrequiredmin: 0, max: 10, step: 0.011
cross_temporalFLOATrequiredmin: 0, max: 10, step: 0.011

Outputs

IndexNameTypeIs ListConnection Reference
0MODELMODELNo["{node_id}", 0]
How to connect to these outputs

To connect another node's input to an output from this node, use the connection reference format:

["node_id", output_index]

Where node_id is the ID of this UNetTemporalAttentionMultiply node in your workflow, and output_index is the index from the table above.

Example

If this node has ID "5" in your workflow:

  • MODEL (MODEL): ["5", 0]
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