La Inteligencia Artificial Generativa en el Diseño Textil para su aplicación en la Indumentaria

Abstract

The main objective of this work is to incorporate generative artificial intelligence tools such as Leonardo.ai, Midjourney, Gemini, Fermat, among others, into textile design, with a view to their application in the apparel industry through the development of a practical guide. The use of these tools can optimize ideation processes, generate efficient modules for creating rapports, and offer coherent thematic variations from a visual and functional point of view. To this end, the project began with a diagnosis of the state of technological adoption in the Ecuadorian textile sector, defined specific objectives, and developed a guide based on the creation of specific prompts consistent with the logic of textile design. The methodological phase included the formulation and iterative adjustment of prompts, the visual evaluation of outputs in terms of pattern continuity, color harmony, and modular structure through experimentation and evaluation sheets, and validation through expert interviews. These interviews provided valuable input on the feasibility, advantages, and limitations of these technologies in real-life creation and production contexts. The key findings indicate that the integration of generative AI significantly accelerates the generation of design ideas, expands the diversity of visual proposals, and reduces the dependence on physical evidence, without compromising the designer's creative control. The discussion addresses how these tools can be incorporated into both artisanal and industrial processes, as well as into educational settings, promoting a technological democratization that enriches the apparel industry.