Image Pad For Outpaint Target Size

image

ImagePadForOutpaintTargetSize

Example

JSON Example

{
  "class_type": "ImagePadForOutpaintTargetSize",
  "inputs": {
    "image": [
      "node_id",
      0
    ],
    "target_width": 0,
    "target_height": 0,
    "feathering": 0,
    "upscale_method": "nearest-exact"
  }
}

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	-	-
target_width	INT	required	min: 0, max: 16384, step: 8	0
target_height	INT	required	min: 0, max: 16384, step: 8	0
feathering	INT	required	min: 0, max: 16384, step: 1	0
upscale_method	ENUM 5 options nearest-exact bilinear area bicubic lanczos	required	-	-
mask	MASK	optional	-	-

Outputs

Index	Name	Type	Is List	Connection Reference
0	IMAGE	IMAGE	No	["{node_id}", 0]
1	MASK	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 ImagePadForOutpaintTargetSize 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]
• MASK (MASK): ["5", 1]

Package: comfyui-kjnodes