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Facilitates seamless transfer of SDXL tuple data in AI art workflow for remote targeting without modification, ensuring data integrity and efficient handling of complex structures.
The Aegisflow SDXL Tuple Pass node is designed to facilitate the seamless transfer of SDXL tuple data within your AI art workflow. This node is particularly useful for remote targeting scenarios where data needs to be passed through without modification, ensuring that the integrity of the SDXL tuple is maintained. By using this node, you can streamline your workflow and ensure that complex data structures are handled efficiently, making it easier to manage and manipulate your AI-generated art projects.
The sdxl tuple
parameter is an optional input that accepts an SDXL_TUPLE type. This parameter allows you to pass an SDXL tuple through the node. If provided, the node will output the same SDXL tuple. If not provided or if the input is None
, the node will generate and return an empty SDXL_TUPLE placeholder. This ensures that the node can handle cases where the input data might be missing or incomplete, maintaining the continuity of your workflow.
The sdxl tuple
output parameter returns the SDXL_TUPLE that was passed into the node. If an SDXL tuple was provided as input, the same tuple is returned. If no input was provided or if the input was None
, the node returns an empty SDXL_TUPLE placeholder. This output is crucial for maintaining the flow of data in your AI art projects, ensuring that the SDXL tuple is available for subsequent nodes and processes.
sdxl tuple
input is correctly connected to the source node that generates or holds the SDXL tuple data to avoid unnecessary placeholders.sdxl tuple
input.sdxl tuple
parameter is correctly established and that the source node is providing the expected data.sdxl tuple
does not conform to the expected SDXL_TUPLE structure.sdxl tuple
input to the node.© Copyright 2024 RunComfy. All Rights Reserved.