ImpactConditionalBranch

Documentation

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

This node provides a conditional branching mechanism, allowing for the execution of different logic or values based on a given condition. It serves as a fundamental building block for creating dynamic and conditional workflows within the ImpactPack.

Input types

Required

• cond
  • The condition upon which the branching logic is based. It determines which of the two provided values (true or false branch) is returned by the node.
  • Comfy dtype: BOOLEAN
  • Python dtype: bool
• tt_value
  • The value to be returned if the condition evaluates to True. This allows for dynamic selection of output based on the condition.
  • Comfy dtype: *
  • Python dtype: object
• ff_value
  • The value to be returned if the condition evaluates to False. This enables the node to selectively output values based on the evaluated condition.
  • Comfy dtype: *
  • Python dtype: object

Output types

• *
  • Comfy dtype: *
  • The output of this node is either the tt_value or ff_value, depending on the evaluation of the condition.
  • Python dtype: object

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImpactConditionalBranch:
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "cond": ("BOOLEAN",),
                "tt_value": (any_typ,),
                "ff_value": (any_typ,),
            },
        }

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

    RETURN_TYPES = (any_typ, )

    def doit(self, cond, tt_value, ff_value):
        if cond:
            return (tt_value,)
        else:
            return (ff_value,)