Development of a clothing collection using an algorithm of imagitive associative generations by neural networks

This article discusses the use of artificial intelligence in the chain of creating a new principle of structural-graphic analysis as a way to study a creative source to create an associative series of images necessary for further use in costume design. The process of forming a prompt to create a collection concept is studied. The use of new technologies in the work of designers, their integration into the process of creating clothing, as well as the use of artificial intelligence in the fashion industry and its impact on market and business development are analyzed. An attempt is being made to create a concept of enhanced intelligence, in which tasks are clearly set to achieve all the designer's goals. The purpose of this research is to explore the possibilities of introducing artificial intelligence into the costume design process. The main task is to find optimal ways to create figurative-associative generations that will be a source of inspiration for creating a clothing collection. The goal of using artificial intelligence in design tools is to create a better design by eliminating the need to perform repetitive or low-value tasks. When working on this study, the following methods were used: study and analysis of the latest developments in the field of digital technologies and the capabilities of artificial intelligence, the method of observation and comparison, systematization and synthesis. As a result, the process of forming prompts that optimally meet the designer’s request was studied. The new method makes it possible to expand the designer’s creative horizons.