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ModelSamplingContinuousV

advanced/model
ModelSamplingContinuousV

Example

JSON Example
{
  "class_type": "ModelSamplingContinuousV",
  "inputs": {
    "model": [
      "node_id",
      0
    ],
    "sampling": "v_prediction",
    "sigma_max": 500,
    "sigma_min": 0.03
  }
}

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

Inputs

NameTypeStatusConstraintsDefault
modelMODELrequired--
samplingENUM
1 options
  • v_prediction
required--
sigma_maxFLOATrequiredmin: 0, max: 1000, step: 0.001500
sigma_minFLOATrequiredmin: 0, max: 1000, step: 0.0010.03

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 ModelSamplingContinuousV 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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