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Streamline selection and loading of upscale models for AI art projects, enhancing image resolution and detail effortlessly.
The Upscale Model Loader JK node is designed to streamline the process of selecting and loading upscale models for your AI art projects. This node simplifies the task of integrating high-quality upscale models into your workflow, allowing you to enhance the resolution and detail of your images effortlessly. By providing a user-friendly interface to choose from a list of available upscale models, it ensures that you can quickly and efficiently apply the desired model to your images, improving their overall quality and visual appeal. This node is particularly beneficial for artists looking to enhance their artwork with minimal technical hassle, making it an essential tool for achieving professional-grade results.
This parameter allows you to select the upscale model you wish to use from a predefined list of available models. The function of this parameter is to specify which model will be applied to upscale your images, directly impacting the quality and characteristics of the final output. The available options are dynamically retrieved from the folder containing the upscale models, ensuring you have access to the latest and most suitable models for your needs. There are no minimum or maximum values for this parameter, as it is a selection from a list.
This output parameter provides the name of the selected upscale model. It is important as it confirms which model has been chosen and applied, allowing you to keep track of the models used in your workflow. The output is a string representing the model name.
This output parameter returns the actual upscale model that has been loaded. It is crucial for the subsequent processing steps, as it contains the model data required to perform the upscaling operation. The output is the model object itself, which can be used directly in your image processing pipeline.
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