Multiply

Documentation

• Class name: DF_Multiply
• Category: Derfuu_Nodes/Math
• Output node: False

The DF_Multiply node performs multiplication of two floating-point numbers, providing a straightforward way to calculate the product of two values within a mathematical or computational workflow.

Input types

Required

• Value_A
  • Value_A represents the first floating-point number to be multiplied. It plays a crucial role in determining the overall result of the multiplication operation.
  • Comfy dtype: FLOAT
  • Python dtype: float
• Value_B
  • Value_B is the second floating-point number involved in the multiplication. Its value directly influences the product outcome, making it an essential component of the operation.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• float
  • Comfy dtype: FLOAT
  • The output is a floating-point number representing the product of the two input values, Value_A and Value_B. It encapsulates the result of the multiplication operation.
  • Python dtype: float

Usage tips

• Infra type: CPU
• Common nodes:
  • floatToInt _O

Source code

class MultiplyNode:
    def __init__(self) -> None:
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "Value_A": Field.float(),
                "Value_B": Field.float(),
            },
        }

    RETURN_TYPES = ("FLOAT",)
    FUNCTION = "multiply"
    CATEGORY = TREE_MATH

    def multiply(self, Value_A, Value_B):
        total = float(Value_A * Value_B)
        return (total,)