ConditioningClamp

Documentation

• Class name: ConditioningClamp
• Category: clamp
• Output node: False

The ConditioningClamp node is designed to pass through conditioning data without modification, serving as a placeholder or checkpoint within a data processing pipeline.

Input types

Required

• conditioning
  • This parameter represents the conditioning data that is passed through the node unchanged, highlighting its role in maintaining the integrity of the data flow.
  • Comfy dtype: CONDITIONING
  • Python dtype: List[Tuple[torch.Tensor, Dict[str, Any]]]

Output types

• conditioning
  • Comfy dtype: CONDITIONING
  • Outputs the unaltered conditioning data, emphasizing the node's function as a transparent conduit in the pipeline.
  • Python dtype: List[Tuple[torch.Tensor, Dict[str, Any]]]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ConditioningClamp:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "conditioning": ("CONDITIONING",),
            },
        }

    RETURN_TYPES = ("CONDITIONING",)
    FUNCTION = "node"
    CATEGORY = "clamp"

    def node(self, conditioning):
        return (conditioning,)