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Facilitates selection and loading of checkpoint models in CCSR framework for efficient management and switching by AI artists.
The CCSR_Model_Select
node is designed to facilitate the selection and loading of specific checkpoint models within the CCSR framework. This node is particularly useful for AI artists who need to manage and switch between different model checkpoints efficiently. By providing a streamlined method to select and load checkpoints, it ensures that you can quickly access the desired model configurations without delving into complex file management tasks. The primary function of this node is to retrieve the full path of the selected checkpoint, making it ready for subsequent processing or usage in your AI art projects.
The ckpt_name
parameter allows you to specify the name of the checkpoint you wish to load. This parameter is crucial as it determines which model checkpoint will be retrieved and used in your workflow. The available options for this parameter are dynamically generated from the list of checkpoint files present in the designated "checkpoints" folder. By selecting the appropriate checkpoint name, you ensure that the correct model configuration is loaded, which can significantly impact the results of your AI art generation. There are no minimum, maximum, or default values for this parameter as it depends on the available checkpoint files.
The ccsr_model
output parameter provides the full path to the selected checkpoint model. This output is essential as it serves as the reference to the specific model configuration that will be used in subsequent nodes or processes. By obtaining the full path, you can ensure that the correct model is loaded and utilized, thereby maintaining consistency and accuracy in your AI art projects. The output value is a string representing the file path to the selected checkpoint.
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