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PolyexponentialScheduler

sampling/custom_sampling/schedulers
PolyexponentialScheduler

Example

JSON Example
{
  "class_type": "PolyexponentialScheduler",
  "inputs": {
    "steps": 20,
    "sigma_max": 14.614642,
    "sigma_min": 0.0291675,
    "rho": 1
  }
}

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

Inputs

NameTypeStatusConstraintsDefault
stepsINTrequiredmin: 1, max: 1000020
sigma_maxFLOATrequiredmin: 0, max: 5000, step: 0.0114.614642
sigma_minFLOATrequiredmin: 0, max: 5000, step: 0.010.0291675
rhoFLOATrequiredmin: 0, max: 100, step: 0.011

Outputs

IndexNameTypeIs ListConnection Reference
0SIGMASSIGMASNo["{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 PolyexponentialScheduler node in your workflow, and output_index is the index from the table above.

Example

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

  • SIGMAS (SIGMAS): ["5", 0]
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