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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.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.