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Facilitates loading ControlNet models for AI art tasks with a user-friendly interface.
The ControlNetLoader
node is designed to facilitate the loading of ControlNet models, which are essential for various AI art generation tasks. This node simplifies the process of accessing and utilizing ControlNet models by providing a straightforward interface to load these models from specified directories. By leveraging this node, you can seamlessly integrate ControlNet models into your workflows, enhancing the capabilities of your AI art projects. The primary function of this node is to locate and load the specified ControlNet model, making it readily available for subsequent operations within your AI art pipeline.
The control_net_name
parameter specifies the name of the ControlNet model you wish to load. This parameter is crucial as it determines which ControlNet model will be retrieved from the designated directory. The available options for this parameter are dynamically generated based on the files present in the "controlnet" folder. By selecting the appropriate ControlNet model, you ensure that the correct model is loaded for your specific task. This parameter does not have minimum, maximum, or default values, as it depends on the available files in the directory.
The CONTROL_NET
output parameter represents the loaded ControlNet model. This output is essential as it provides the loaded model, which can then be used in various AI art generation processes. The CONTROL_NET
output ensures that the model is correctly loaded and ready for use, enabling you to apply the ControlNet model to your projects seamlessly.
control_net_name
parameter.© Copyright 2024 RunComfy. All Rights Reserved.