Image Crop By Mask And Resize

KJNodes/image

ImageCropByMaskAndResize

Example

JSON Example

{
  "class_type": "ImageCropByMaskAndResize",
  "inputs": {
    "image": [
      "node_id",
      0
    ],
    "mask": [
      "node_id",
      0
    ],
    "base_resolution": 512,
    "padding": 0,
    "min_crop_resolution": 128,
    "max_crop_resolution": 512
  }
}

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	-	-
mask	MASK	required	-	-
base_resolution	INT	required	min: 0, max: 16384, step: 8	512
padding	INT	required	min: 0, max: 16384, step: 1	0
min_crop_resolution	INT	required	min: 0, max: 16384, step: 8	128
max_crop_resolution	INT	required	min: 0, max: 16384, step: 8	512

Outputs

Index	Name	Type	Is List	Connection Reference
0	images	IMAGE	No	["{node_id}", 0]
1	masks	MASK	No	["{node_id}", 1]
2	bbox	BBOX	No	["{node_id}", 2]

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 ImageCropByMaskAndResize 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]
• bbox (BBOX): ["5", 2]

Package: comfyui-kjnodes