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Efficiently manage and extend model lists in AI art projects for streamlined workflow and organization.
The ExtendModelList
node is designed to help you efficiently manage and extend lists of models within your AI art projects. This node allows you to combine multiple model inputs into a single, cohesive list, making it easier to handle and manipulate large sets of models. By using this node, you can streamline your workflow, ensuring that all your models are organized and accessible in one place. This is particularly useful when working with complex projects that require multiple models, as it simplifies the process of managing and extending your model lists.
This parameter specifies the number of input models you want to include in the list. It determines how many models will be processed and combined into a single list. The value should be an integer representing the count of input models. For example, if you have three models to combine, you would set inputs_len
to 3. This parameter is crucial as it directly impacts the size and content of the resulting model list.
These parameters represent the individual models that you want to include in the list. Each model parameter corresponds to a specific model input, where model_0
is the first model, model_1
is the second, and so on. The number of these parameters should match the value specified in inputs_len
. Each model input should be of the type MODEL
. These parameters are essential as they provide the actual model data that will be combined into the final list.
The output parameter list
is a single, cohesive list that contains all the models specified in the input parameters. This list is the result of combining the individual model inputs into one unified collection. The output list is of the type MODEL
, and it simplifies the management and manipulation of multiple models by consolidating them into a single entity. This output is particularly useful for further processing or analysis within your AI art projects.
inputs_len
parameter accurately reflects the number of model inputs you are providing. This will prevent any mismatches or errors during the list creation process.model_0
, model_1
, etc.) to keep track of which models are being combined, especially when working with a large number of models.inputs_len
parameter.inputs_len
parameter and ensure it matches the actual number of model inputs you are providing. Adjust the parameter or the inputs accordingly.MODEL
.MODEL
. Replace any invalid inputs with the correct model type.inputs_len
parameter are provided. Add any missing model inputs to match the expected count.© Copyright 2024 RunComfy. All Rights Reserved.