Software Guide

 

Getting Started

Things to keep in mind before you begin

  • DiGauss does not utilize machine learning, artificial intelligence or stable diffusion. It does not make its input images instantly cool. It will take some effort on the part of its user to extract an input image’s maximum potential. DiGauss is a software tool for the human artist to explore the underlying properties and structures of the images loaded into it.

  • DiGauss implements a unique user interface that allows the user to dynamically explore and sample an image’s frequency space. Layering those samples on top of one another. Reimagining the image that served as its input.

Suggestions

  • Please check out the User Interface pages before you proceed. Some aspects of this software are conventional and others are not. It would be best to look it over before you load an image.

  • When thinking of an image you’d like to work with. It’s ideal to select an image with total pixel dimension of less than 3,000 x 3,000 pixels for the program to work responsively. The program’s responsiveness is also heavily dependent on the user’s computer graphics processing and CPU specs.

  • It might be easiest to place the image you’d like to work with in the download folder. This is so that as you work with the image and export recipes you can load the image you were working with and the recipe without having to navigate between multiple folders.

File types

Input Images

  • JPEG and PNG Works best with image resolutions below 3,000 x 3,000 pixels, max 7,000 x 7,000 pixels.

Export Images

  • PNG for both composited an individually selected layer with transparency.

Input Video

  • MP4 and MOV Intended to be used in conjunction with the sequencer.

Export Video

  • MP4 Record the sequence and output them to a video file.

Input and Export Recipe

  • JSON used for saving and reloading the app and layer states