ImpactFloat

Documentation

• Class name: ImpactFloat
• Category: ImpactPack/Logic
• Output node: False

The ImpactFloat node is designed to process floating-point values, allowing for the manipulation and use of float data within a workflow. It serves as a fundamental building block in operations that require precise numerical computations.

Input types

Required

• value
  • Specifies the floating-point value to be processed. This parameter is central to the node's operation, as it determines the exact float value that will be manipulated or utilized.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• float
  • Comfy dtype: FLOAT
  • Outputs the processed floating-point value. This is the result of any computations or manipulations performed on the input float value.
  • Python dtype: float

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImpactFloat:
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "value": ("FLOAT", {"default": 1.0, "min": -3.402823466e+38, "max": 3.402823466e+38}),
            },
        }

    FUNCTION = "doit"
    CATEGORY = "ImpactPack/Logic"

    RETURN_TYPES = ("FLOAT", )

    def doit(self, value):
        return (value, )