Custom Sigmas
CustomSigmasCreates a sigmas tensor from a string of comma separated values. Examples: Nvidia's optimized AYS 10 step schedule for SD 1.5: 14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029 SDXL: 14.615, 6.315, 3.771, 2.181, 1.342, 0.862, 0.555, 0.380, 0.234, 0.113, 0.029 SVD: 700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002
Example
{
"class_type": "CustomSigmas",
"inputs": {
"sigmas_string": "14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029",
"interpolate_to_steps": 10
}
}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 |
|---|---|---|---|---|
sigmas_string | STRING | required | - | "14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029" |
interpolate_to_steps | INT | required | min: 0, max: 255, step: 1 | 10 |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | SIGMAS | SIGMAS | 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 CustomSigmas 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]