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Facilitates aggregation of individual models into a single list for streamlined workflow in AI projects.
The ToModelList
node is designed to facilitate the creation of a list of models from individual model inputs. This node is particularly useful when you need to aggregate multiple models into a single list for further processing or operations. By using this node, you can streamline your workflow, ensuring that all your model inputs are neatly organized into a list format, which can then be easily manipulated or passed to other nodes for additional tasks. This node is essential for AI artists who frequently work with multiple models and need an efficient way to manage and utilize them in their projects.
This parameter specifies the number of individual model inputs that will be aggregated into a list. It determines how many models you will be combining into a single list. The value of inputs_len
should be an integer representing the count of model inputs you intend to include. This parameter is crucial as it directly impacts the size of the resulting model list.
The output parameter list
is a collection of models aggregated from the individual inputs specified by the inputs_len
parameter. This list serves as a consolidated group of models that can be used for further processing or operations within your workflow. The list
output is essential for managing multiple models efficiently, allowing you to handle them as a single entity.
inputs_len
parameter accurately reflects the number of model inputs you want to combine. This will prevent any discrepancies in the resulting list.ToModelList
node when you need to pass multiple models to another node that requires a list of models as input. This can simplify your workflow and reduce the complexity of managing individual model inputs.inputs_len
parameter is not set to a valid integer value.inputs_len
parameter is set to a valid integer representing the number of model inputs you want to combine.inputs_len
parameter.inputs_len
parameter value. Adjust the inputs or the parameter value accordingly to resolve the mismatch.© Copyright 2024 RunComfy. All Rights Reserved.