🔧 Image Apply LUT
essentials/image processing
ImageApplyLUT+Example
JSON Example
{
"class_type": "ImageApplyLUT+",
"inputs": {
"image": [
"node_id",
0
],
"lut_file": "https://example.com/path/to/file.bin",
"gamma_correction": true,
"clip_values": true,
"strength": 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 |
|---|---|---|---|---|
image | IMAGE | required | - | - |
lut_file | ENUM0 options | required | - | - |
gamma_correction | BOOLEAN | required | - | true |
clip_values | BOOLEAN | required | - | true |
strength | FLOAT | required | min: 0, max: 1, step: 0.1 | 1 |
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 ImageApplyLUT+ 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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