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Merge multiple conditioning inputs into a single output for enhanced art generation.
ImpactConcatConditionings is a node designed to merge multiple conditioning inputs into a single conditioning output. This node is particularly useful in scenarios where you need to combine different conditioning data streams, such as in AI art generation, where multiple conditioning vectors might be used to influence the final output. The primary function of this node is to concatenate the conditioning vectors from various sources into one unified vector, ensuring that the combined conditioning data can be applied effectively to the target conditioning. This process helps in creating more complex and nuanced conditioning effects, enhancing the overall quality and diversity of the generated art.
This parameter represents the primary conditioning input that will be concatenated with other conditioning inputs. It is a required parameter and should be of the type CONDITIONING
. The function of this parameter is to serve as the base conditioning to which other conditionings will be appended. There are no specific minimum, maximum, or default values for this parameter, but it must be provided for the node to function correctly.
The output parameter is a single conditioning vector that results from the concatenation of the input conditioning vectors. This output is crucial as it combines the effects of all input conditionings into one, which can then be used to influence the AI model's behavior in generating art. The combined conditioning vector allows for more complex and rich conditioning effects, leading to more diverse and high-quality outputs.
{k}
contains more than 1 cond, only the first one will actually be applied to conditioning1.<type>
CONDITIONING
.CONDITIONING
before connecting them to the node. Ensure that the data being passed is properly formatted and compatible with the node's requirements.© Copyright 2024 RunComfy. All Rights Reserved.