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Store floating-point numbers in global memory for value recall and sharing in AI art generation workflows.
The MemorizeFloat
node is designed to store a floating-point number into a global memory, allowing you to save and recall numerical values across different parts of your workflow. This node is particularly useful when you need to maintain state or share data between various nodes without directly connecting them. By memorizing a float, you can ensure that critical numerical values are preserved and accessible whenever needed, enhancing the flexibility and efficiency of your AI art generation process.
The to_memory
parameter is a required input that specifies the floating-point number you want to store in the global memory. This parameter ensures that the value is explicitly provided, making it a crucial part of the node's functionality. The value must be a float, and it is enforced to be input by the user to avoid any accidental omissions. This parameter does not have a default value, as it is mandatory to provide the specific float you wish to memorize.
This node does not produce any direct output parameters. Its primary function is to store the provided float value into the global memory for later retrieval by other nodes.
to_memory
parameter is always provided with a valid float value to avoid any interruptions in your workflow.RecallFloat
node to effectively manage and utilize stored float values across different parts of your project.to_memory
parameter is not provided.to_memory
parameter before executing the node.to_memory
is not a valid float.© Copyright 2024 RunComfy. All Rights Reserved.