Gradient To Float

KJNodes/image

GradientToFloat

Calculates list of floats from image.

Example

JSON Example

{
  "class_type": "GradientToFloat",
  "inputs": {
    "image": [
      "node_id",
      0
    ],
    "steps": 10
  }
}

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	-	-
steps	INT	required	min: 2, max: 10000, step: 1	10

Outputs

Index	Name	Type	Is List	Connection Reference
0	float_x	FLOAT	No	["{node_id}", 0]
1	float_y	FLOAT	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 GradientToFloat node in your workflow, and output_index is the index from the table above.

Example

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

• float_x (FLOAT): ["5", 0]
• float_y (FLOAT): ["5", 1]

Package: comfyui-kjnodes