Abstract：Technology behind text to image generators Purpose This column aims to provides an overview of the techniques that make text-to-image generators possibleDesignmethodologyapproach This column will be the first in a two-part seriesexploring the impacts of text-to-image software with an emphasis on librariesFindings It shows how advances in machine learning and the particular technique of diffusion are critical building blocks for artificial intelligenceOriginalityvalue Understanding these technologies and large data setswhich are often scraped by public usershelp information professionals understand how this software may further developas well as how to help guide their patrons Consulting ServiceThe article mentioned that understanding these technologies and big data sets can help information experts understand how these software develops and how to guide their readersThis implies the possibility of providing readers with consulting services to readers in the libraryMachine LearningThis column refers to the progress of machine learning andDiffusiontechnology as a key component of artificial intelligenceThese technologies become a possible basis for text-to-image generators