Technology behind text to image generators

Abstract

Purpose

This column aims to provides an overview of the techniques that make text-to-image generators possible.

Design/methodology/approach

This column will be the first in a two-part series, exploring the impacts of text-to-image software with an emphasis on libraries.

Findings

It shows how advances in machine learning and the particular technique of diffusion are critical building blocks for artificial intelligence.

Originality/value

Understanding these technologies and large data sets, which are often scraped by public users, help information professionals understand how this software may further develop, as well as how to help guide their patrons.

Citation

Fernandez, P. (2022), "Technology behind text to image generators", Library Hi Tech News, Vol. 39 No. 10, pp. 1-4. https://doi.org/10.1108/LHTN-10-2022-0116