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Versatile node automates selection between upscaling methods for high-res image processing, optimizing workflow efficiency.
The CR Hires Fix Process Switch is a versatile node designed to streamline the process of selecting between different upscaling methods for high-resolution image processing. This node allows you to switch between latent upscaling and image upscaling based on the input provided, making it easier to manage and apply the appropriate upscaling technique for your specific needs. By automating the selection process, it helps to optimize your workflow and ensures that the correct method is applied, enhancing the overall quality and efficiency of your image processing tasks.
The Input
parameter determines which upscaling method to use. It accepts two options: latent_upscale
and image_upscale
. When latent_upscale
is selected, the node will use the latent upscaling method, and when image_upscale
is selected, it will use the image upscaling method. This parameter is required and does not have a default value.
The latent_upscale
parameter is an optional input that represents the latent upscaling method. It is used when the Input
parameter is set to latent_upscale
. This parameter should be of type LATENT
.
The image_upscale
parameter is an optional input that represents the image upscaling method. It is used when the Input
parameter is set to image_upscale
. This parameter should be of type LATENT
.
The LATENT
output parameter provides the result of the selected upscaling method. If latent_upscale
is chosen, this output will contain the result of the latent upscaling process. If image_upscale
is chosen, it will contain the result of the image upscaling process. This output is crucial for further processing or final output generation.
The STRING
output parameter provides a URL to the help documentation for the CR Hires Fix Process Switch node. This URL directs you to a detailed guide on how to use the node effectively, offering additional context and troubleshooting tips.
Input
option based on your specific upscaling needs to achieve the best results.STRING
output to access detailed documentation and troubleshooting tips for optimal node usage.Input
parameter must be set to either latent_upscale
or image_upscale
.Input
parameter is correctly set to one of the accepted values.latent_upscale
or image_upscale
) to be provided.Input
selection.LATENT
.latent_upscale
and image_upscale
parameters are correctly formatted as LATENT
types.© Copyright 2024 RunComfy. All Rights Reserved.