UpRes ML
Description
The UpRes ML node employs machine learning to resize images while preserving critical features. To train the upres model, thousands of images were utilized, resulting in high quality results.
Note: On Linux, the first time you apply UpRes ML, the ML models need to be compiled for your graphics card and resolution being used. The type of card and resolution will determine how long this process will take. Mac users should be running macOS 12.0 or higher for best performance when using the Denoiser ML node.
Node Group
Filter.
Controls
Models
UpRes ML v1.0
Increases the image resolution while preserving detail.
Sharpen
Sharpens the resized result.
Amount
Determines how much contrast is added at the edges.
Radius
Controls the size of the edges you wish to sharpen.
Threshold
The threshold setting is used to sharpen more pronounced edges, while leaving more subtle edges untouched. Low values sharpen more image areas while higher threshold values sharpen less.