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Efficiently upscale images with specified factor, offering flexibility in upscaling methods for improved resolution.
The Image Scale By Factor (WLSH) node is designed to upscale images by a specified factor, allowing you to enhance the resolution of your images seamlessly. This node is particularly useful for AI artists who need to increase the size of their images while maintaining quality. By leveraging different upscaling methods, such as nearest-exact, bilinear, and area, this node provides flexibility in choosing the most suitable technique for your specific needs. The primary goal of this node is to offer a straightforward and efficient way to upscale images, making it an essential tool for improving image quality in various creative projects.
This parameter represents the input image that you want to upscale. It is the source image that will be processed and enlarged based on the specified scaling factor.
This parameter allows you to choose the method used for upscaling the image. The available options are nearest-exact
, bilinear
, and area
. Each method has its own characteristics: nearest-exact
is fast and simple but may produce blocky results, bilinear
offers smoother transitions but can be slightly slower, and area
is suitable for downscaling but can also be used for upscaling with a focus on preserving the overall image area.
This parameter specifies the scaling factor by which the image dimensions will be multiplied. It accepts a floating-point value with a default of 2.0, a minimum of 0.1, and a maximum of 8.0. Adjusting this factor allows you to control the degree of upscaling applied to the original image.
This output parameter provides the upscaled image. The image is processed based on the specified scaling factor and upscaling method, resulting in a higher resolution version of the original input image.
bilinear
method when you need smoother transitions and fewer artifacts in the upscaled image.nearest-exact
method for quick upscaling when speed is more critical than image quality.© Copyright 2024 RunComfy. All Rights Reserved.