Sum

Documentation

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

The SumNode is designed to perform arithmetic addition, taking two float inputs and returning their sum as a float output. This node simplifies the process of adding numbers within a mathematical or computational context, facilitating operations that require summation.

Input types

Required

• Value_A
  • Represents one of the two values to be added together. Its role is crucial as it directly influences the sum calculation.
  • Comfy dtype: FLOAT
  • Python dtype: float
• Value_B
  • Serves as the second value to be added to the first. Its importance lies in its contribution to the overall sum, affecting the node's output.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• float
  • Comfy dtype: FLOAT
  • The result of adding the two input values. It signifies the computed sum, encapsulating the node's primary function.
  • Python dtype: float

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

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

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

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

    def sum(self, Value_A, Value_B):
        total = float(Value_A + Value_B)
        return (total,)