CondPassThrough

Documentation

• Class name: CondPassThrough
• Category: KJNodes/misc
• Output node: False

The CondPassThrough node is designed to facilitate the direct passage of positive and negative conditioning data. It serves as a workaround to enable bypassing inputs in scenarios where the Set node's limitations would otherwise prevent such an operation.

Input types

Required

• positive
  • Represents the positive conditioning data to be passed through. It plays a crucial role in maintaining the integrity of the data flow, especially in bypass scenarios.
  • Comfy dtype: CONDITIONING
  • Python dtype: tuple
• negative
  • Represents the negative conditioning data to be passed through. It ensures that negative conditioning data can also be seamlessly integrated into the workflow without alteration.
  • Comfy dtype: CONDITIONING
  • Python dtype: tuple

Output types

• positive
  • Comfy dtype: CONDITIONING
  • Outputs the unmodified positive conditioning data, ensuring its availability for subsequent processing steps.
  • Python dtype: tuple
• negative
  • Comfy dtype: CONDITIONING
  • Outputs the unmodified negative conditioning data, maintaining its original form for further use.
  • Python dtype: tuple

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class CondPassThrough:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "positive": ("CONDITIONING", ),
                "negative": ("CONDITIONING", ),
            }, 
    }

    RETURN_TYPES = ("CONDITIONING", "CONDITIONING",)
    RETURN_NAMES = ("positive", "negative")
    FUNCTION = "passthrough"
    CATEGORY = "KJNodes/misc"
    DESCRIPTION = """
    Simply passes through the positive and negative conditioning,
    workaround for Set node not allowing bypassed inputs.
"""

    def passthrough(self, positive, negative):
        return (positive, negative,)