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Facilitates seamless transfer of latent data in AI art generation workflow, maintaining data integrity for consistent results.
The Aegisflow Latent Pass node is designed to facilitate the seamless transfer of latent data within your AI art generation workflow. This node takes a latent input and passes it through without any modifications, making it particularly useful for remote targeting scenarios when used in conjunction with an "Anything Everywhere" node sender. By ensuring that the latent data is transmitted accurately and efficiently, this node helps maintain the integrity of your creative process, allowing for consistent and reliable results. Its primary function is to act as a conduit for latent data, ensuring that it reaches its intended destination without any alterations.
The latent
parameter is an optional input that accepts latent data, which is a type of data representation used in AI models to encode information in a compressed form. When provided, this parameter allows the node to pass the latent data through to the next stage in the workflow. If the latent
parameter is not provided or is set to None
, the node will generate and pass an empty latent placeholder instead. This ensures that the workflow can continue without interruption, even if the latent data is not available. There are no specific minimum, maximum, or default values for this parameter, as it is entirely dependent on the latent data being used in your project.
The latent
output parameter represents the latent data that has been passed through the node. If the input latent
parameter was provided, this output will contain the same latent data. If the input latent
parameter was not provided or was None
, the output will contain an empty latent placeholder. This output is crucial for maintaining the flow of latent data within your AI art generation workflow, ensuring that subsequent nodes receive the necessary data to function correctly.
latent
parameter is correctly set with the appropriate latent data to maintain the integrity of your workflow.latent
inputlatent
input parameter is either missing or set to None
.latent
parameter is provided with valid latent data. If no latent data is available, the node will automatically generate an empty latent placeholder to maintain workflow continuity.latent
data is not in the expected format or structure.latent
data conforms to the expected format and structure required by the node. Ensure that the data is correctly encoded and compatible with the node's processing requirements.© Copyright 2024 RunComfy. All Rights Reserved.