Image Noise Augmentation
KJNodes/image
ImageNoiseAugmentationAdd noise to an image.
Example
JSON Example
{
"class_type": "ImageNoiseAugmentation",
"inputs": {
"image": [
"node_id",
0
],
"noise_aug_strength": null,
"seed": 123
}
}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 |
|---|---|---|---|---|
image | IMAGE | required | - | - |
noise_aug_strength | FLOAT | required | min: 0, max: 100, step: 0.001 | - |
seed | INT | required | min: 0, max: 1.84e+19, step: 1 | 123 |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | IMAGE | IMAGE | 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 ImageNoiseAugmentation node in your workflow, and output_index is the index from the table above.
Example
If this node has ID "5" in your workflow:
IMAGE (IMAGE):["5", 0]
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