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FreSca

_for_testingExperimental
FreSca

Applies frequency-dependent scaling to the guidance

Experimental: This node is experimental and its behavior may change without notice.

Example

JSON Example
{
  "class_type": "FreSca",
  "inputs": {
    "model": [
      "node_id",
      0
    ],
    "scale_low": 1,
    "scale_high": 1.25,
    "freq_cutoff": 20
  }
}

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

Inputs

NameTypeStatusConstraintsDefault
modelMODELrequired--
scale_low?FLOATrequiredmin: 0, max: 10, step: 0.011
scale_high?FLOATrequiredmin: 0, max: 10, step: 0.011.25
freq_cutoff?INTrequiredmin: 1, max: 10000, step: 120

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 FreSca 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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