Upscale Latent

latent

LatentUpscale

Example

JSON Example

{
  "class_type": "LatentUpscale",
  "inputs": {
    "samples": [
      "node_id",
      0
    ],
    "upscale_method": "nearest-exact",
    "width": 512,
    "height": 512,
    "crop": "disabled"
  }
}

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
samples	LATENT	required	-	-
upscale_method	ENUM 5 options nearest-exact bilinear area bicubic bislerp	required	-	-
width	INT	required	min: 0, max: 16384, step: 8	512
height	INT	required	min: 0, max: 16384, step: 8	512
crop	ENUM 2 options disabled center	required	-	-

Outputs

Index	Name	Type	Is List	Connection Reference
0	LATENT	LATENT	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 LatentUpscale node in your workflow, and output_index is the index from the table above.

Example

If this node has ID "5" in your workflow:

• LATENT (LATENT): ["5", 0]

Package: comfyui-core