ModelSamplingContinuousV
advanced/model
ModelSamplingContinuousVExample
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
| Name | Type | Status | Constraints | Default |
|---|---|---|---|---|
model | MODEL | required | - | - |
sampling | ENUM1 options
| required | - | - |
sigma_max | FLOAT | required | min: 0, max: 1000, step: 0.001 | 500 |
sigma_min | FLOAT | required | min: 0, max: 1000, step: 0.001 | 0.03 |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | MODEL | MODEL | No | ["{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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