Image Grid
dataset/imageExperimental
ImageGridExperimental: This node is experimental and its behavior may change without notice.
Example
JSON Example
{
"class_type": "ImageGrid",
"inputs": {
"images": [
"node_id",
0
],
"columns": 4,
"cell_width": 256,
"cell_height": 256,
"padding": 4
}
}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 |
|---|---|---|---|---|
images? | IMAGE | required | - | - |
columns? | INT | required | min: 1, max: 20 | 4 |
cell_width? | INT | required | min: 32, max: 2048 | 256 |
cell_height? | INT | required | min: 32, max: 2048 | 256 |
padding? | INT | required | min: 0, max: 50 | 4 |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | images | 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 ImageGrid node in your workflow, and output_index is the index from the table above.
Example
If this node has ID "5" in your workflow:
images (IMAGE):["5", 0]
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