Image Crop By Mask Batch

KJNodes/image

ImageCropByMaskBatch

Crops the input images based on the provided masks.

Example

JSON Example

{
  "class_type": "ImageCropByMaskBatch",
  "inputs": {
    "image": [
      "node_id",
      0
    ],
    "masks": [
      "node_id",
      0
    ],
    "width": 512,
    "height": 512,
    "padding": 0,
    "preserve_size": false,
    "bg_color": "0, 0, 0"
  }
}

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	-	-
masks	MASK	required	-	-
width	INT	required	min: 0, max: 16384, step: 8	512
height	INT	required	min: 0, max: 16384, step: 8	512
padding	INT	required	min: 0, max: 4096, step: 1	0
preserve_size	BOOLEAN	required	-	false
bg_color?	STRING	required	-	"0, 0, 0"

Outputs

Index	Name	Type	Is List	Connection Reference
0	images	IMAGE	No	["{node_id}", 0]
1	masks	MASK	No	["{node_id}", 1]

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 ImageCropByMaskBatch 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]
• masks (MASK): ["5", 1]

Package: comfyui-kjnodes