Flip Sigmas Adjusted
KJNodes/noise
FlipSigmasAdjustedExample
JSON Example
{
"class_type": "FlipSigmasAdjusted",
"inputs": {
"sigmas": [
"node_id",
0
],
"divide_by_last_sigma": false,
"divide_by": 1,
"offset_by": 1
}
}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 | SIGMAS | required | - | - |
divide_by_last_sigma | BOOLEAN | required | - | false |
divide_by | FLOAT | required | min: 1, max: 255, step: 0.01 | 1 |
offset_by | INT | required | min: -100, max: 100, step: 1 | 1 |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | SIGMAS | SIGMAS | No | ["{node_id}", 0] |
1 | sigmas_string | STRING | No | ["{node_id}", 1] |
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 FlipSigmasAdjusted 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]sigmas_string (STRING):["5", 1]
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