Creating a collection of clothes using artificial intelligence

Abstract

Artificial intelligence in the fashion industry has great potential to improve production efficiency, create personalized offers, introduce more sustainable production, and reduce negative environmental impact. Thanks to the introduction of modern AI generators, industrialization, sales and customer experience are moving to a new level of efficiency. Nevertheless, the use of AI tools in the creative stages is very limited. This research explores how different neural networks can be used to conceptualize a clothing collection. An algorithm for creating a collection of clothing models in the Leonardo AI generative neural network environment has been developed. A collection of women's jackets has been generated, edited, and adjusted. The collection is based on classic and romantic styles. For one of the collection models, the generation was performed based on a referent and a hint detailing the design elements. The key to unlocking the potential of artificial intelligence for the needs of the fashion industry lies in the designer's ability to effectively interact with it and transform the results into creative solutions that meet market demands.