Conditioning (Combine)

Documentation

• Class name: ConditioningCombine
• Category: conditioning
• Output node: False

The ConditioningCombine node is designed to merge two conditioning inputs into a single, combined conditioning output. This functionality is essential for scenarios where multiple conditioning contexts need to be applied simultaneously to a generative model.

Input types

Required

• conditioning_i
  • unknown
  • Comfy dtype: CONDITIONING
  • Python dtype: unknown

Output types

• conditioning
  • Comfy dtype: CONDITIONING
  • The combined conditioning output, which encapsulates the merged context of the two input conditionings.
  • Python dtype: tuple

Usage tips

• Infra type: CPU
• Common nodes:
  • KSampler
  • ConditioningCombine
  • KSampler Adv. (Efficient)
  • CR Conditioning Input Switch
  • Attention couple
  • KSampler with Variations
  • CR Module Pipe Loader
  • ControlNetApplyAdvanced

Source code

class ConditioningCombine:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {"conditioning_1": ("CONDITIONING", ), "conditioning_2": ("CONDITIONING", )}}
    RETURN_TYPES = ("CONDITIONING",)
    FUNCTION = "combine"

    CATEGORY = "conditioning"

    def combine(self, conditioning_1, conditioning_2):
        return (conditioning_1 + conditioning_2, )