Combine Conditionings¶
Documentation¶
- Class name:
ImpactCombineConditionings
- Category:
ImpactPack/Util
- Output node:
False
The node is designed to merge two or more conditioning inputs into a single conditioning output. It focuses on combining the specified conditioning elements to create a unified conditioning that can be used in subsequent operations or models.
Input types¶
Required¶
conditioning1
- The primary conditioning input that serves as the base for combination. It plays a crucial role in the merging process, acting as the initial conditioning to which others are added.
- Comfy dtype:
CONDITIONING
- Python dtype:
List[Tuple[torch.Tensor, Any]]
Output types¶
conditioning
- Comfy dtype:
CONDITIONING
- The combined conditioning output, which is a result of merging the input conditionings. This unified conditioning is ready for use in further processing or model applications.
- Python dtype:
Tuple[List[Tuple[torch.Tensor, Any]], ...]
- Comfy dtype:
Usage tips¶
- Infra type:
CPU
- Common nodes:
- SetNode