🔧 Image Histogram Match
essentials/image processing
ImageHistogramMatch+Example
JSON Example
{
"class_type": "ImageHistogramMatch+",
"inputs": {
"image": [
"node_id",
0
],
"reference": [
"node_id",
0
],
"method": "pytorch",
"factor": 1,
"device": "auto"
}
}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 | - | - |
reference | IMAGE | required | - | - |
method | ENUM2 options
| required | - | - |
factor | FLOAT | required | min: 0, max: 1, step: 0.05 | 1 |
device | ENUM3 options
| required | - | - |
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 ImageHistogramMatch+ 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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