Batch Uncrop

KJNodes/masking

BatchUncrop

Example

JSON Example

{
  "class_type": "BatchUncrop",
  "inputs": {
    "original_images": [
      "node_id",
      0
    ],
    "cropped_images": [
      "node_id",
      0
    ],
    "bboxes": [
      "node_id",
      0
    ],
    "border_blending": 0.25,
    "crop_rescale": 1,
    "border_top": true,
    "border_bottom": true,
    "border_left": true,
    "border_right": true
  }
}

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
original_images	IMAGE	required	-	-
cropped_images	IMAGE	required	-	-
bboxes	BBOX	required	-	-
border_blending	FLOAT	required	min: 0, max: 1, step: 0.01	0.25
crop_rescale	FLOAT	required	min: 0, max: 10, step: 0.01	1
border_top	BOOLEAN	required	-	true
border_bottom	BOOLEAN	required	-	true
border_left	BOOLEAN	required	-	true
border_right	BOOLEAN	required	-	true

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 BatchUncrop 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]

Package: comfyui-kjnodes