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)](../../efficiency-nodes-comfyui/Nodes/KSampler Adv. (Efficient).md)
- [CR Conditioning Input Switch](../../ComfyUI_Comfyroll_CustomNodes/Nodes/CR Conditioning Input Switch.md)
- Attention couple
- KSampler with Variations
- [CR Module Pipe Loader](../../ComfyUI_Comfyroll_CustomNodes/Nodes/CR Module Pipe Loader.md)
- 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, )

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