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Manage and visualize AI model checkpoints efficiently for artists.
PrimereVisualCKPT is a node designed to help you manage and visualize your AI model checkpoints effectively. This node is particularly useful for AI artists who work with various model versions and need a streamlined way to load and display these checkpoints. By leveraging this node, you can easily access the model name and version, ensuring that you are working with the correct model for your creative projects. The node simplifies the process of loading checkpoints and retrieving their versions, making it easier for you to focus on your artistic endeavors without getting bogged down by technical details.
This parameter allows you to select the base model checkpoint from a list of available checkpoints. It is essential for specifying which model you want to load and visualize. The list of checkpoints is dynamically generated based on the files available in your designated checkpoints folder. There are no minimum or maximum values, but the selection must be a valid checkpoint file.
This boolean parameter determines whether a modal window should be displayed when loading the checkpoint. The default value is True
, meaning the modal will be shown. Setting this to False
will load the checkpoint without displaying the modal, which can be useful for a more streamlined workflow.
This boolean parameter controls whether hidden checkpoints should be displayed in the selection list. The default value is True
, allowing you to see all available checkpoints, including those that are hidden. Setting this to False
will filter out hidden checkpoints from the list, making it easier to find the ones you need.
This hidden parameter is used internally to cache model versions, improving the efficiency of loading checkpoints. It is automatically managed by the node and does not require manual input.
This output parameter provides the name of the loaded model checkpoint. It is useful for identifying which model you are currently working with, ensuring that you have selected the correct one for your project.
This output parameter gives you the version of the loaded model checkpoint. Knowing the model version is crucial for maintaining consistency in your work, especially when collaborating with others or revisiting previous projects.
show_modal
parameter to control the display of modal windows based on your workflow preferences.show_hidden
to False
to simplify the selection list.© Copyright 2024 RunComfy. All Rights Reserved.