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Efficiently upscale latent codes for high-resolution AI art with various methods and customization options.
The LatentUpscaleFactorSimple _O
node is designed to upscale the latent code by multiplying the width and height by a specified factor. This node is particularly useful for AI artists who want to enhance the resolution of their latent representations without losing the integrity of the original image. By providing a simple and efficient method to upscale latent codes, this node helps in achieving higher resolution outputs, which can be crucial for detailed and high-quality AI-generated art. The node supports various upscale methods and cropping options, allowing for flexibility and customization based on the specific needs of your project.
This parameter represents the latent code that you want to upscale. It is a required input and should be of the type LATENT
. The latent code contains the encoded information of your image, which will be processed and upscaled by the node.
This parameter allows you to choose the method used for upscaling the latent code. The available options are nearest-exact
, bilinear
, and area
. Each method has its own characteristics: nearest-exact
is fast and simple, bilinear
provides smoother results, and area
is good for downscaling but can also be used for upscaling. The choice of method can impact the quality and speed of the upscaling process.
This parameter specifies the factor by which the width and height of the latent code will be multiplied. It is a floating-point value with a default of 1.25, a minimum of 0.0, and a maximum of 10.0. The step size for this parameter is 0.28125. Adjusting this factor allows you to control the degree of upscaling, with higher values resulting in larger upscaled images.
This parameter determines how the image will be cropped after upscaling. The available options are disabled
and center
. When disabled
, no cropping is applied, and the entire upscaled image is retained. When center
is selected, the image is cropped to the center, which can be useful for focusing on the main subject of the image.
The output of this node is the upscaled latent code, which retains the type LATENT
. This upscaled latent code can then be used in subsequent nodes or processes to generate higher resolution images. The upscaled latent code contains the enhanced resolution information, making it suitable for producing detailed and high-quality outputs.
upscale_method
options to see which one provides the desired quality for your specific project.factor
parameter carefully, as very high values can lead to excessively large images that may be difficult to process or display.center
crop option if you want to focus on the main subject of your image after upscaling, ensuring that the most important parts of the image are retained.upscale_method
is provided.upscale_method
parameter is set to one of the following valid options: nearest-exact
, bilinear
, or area
.factor
parameter is set to a value outside the allowed range (0.0 to 10.0).factor
parameter to be within the valid range, ensuring it is between 0.0 and 10.0.crop
method is provided.crop
parameter is set to one of the following valid options: disabled
or center
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