A study on the Applicability of AI-Generated Content in Facade Design for Cosmetic Stores

Artificial intelligence-generated content(AIGC) has demonstrated its potential to provide efficient and creative design solutions through user-friendly interfaces. This capability has garnered significant attention in the design field. In recent years, cosmetic retail stores need differentiated facade designs to effectively convey their brand identity. Accordingly, this study aims to explore the integration potential of AIGC technology in cosmetic retail facade design. The research methodology involved a review of AIGC technology, image-generation platforms, and cosmetic retail facade design. Facade images for three Korean cosmetic retail brands Skinfood, Innisfree and Missha were enerated and analyzed using Midjourney and Stable Diffusion Web UI platforms. These platforms effectively expressed both structural and decorative elements to convey brand concepts. Specifically, they generated creative images that faithfully reflected brand concepts in elements such as signboards, shop windows, and lighting, while logos were presented as substitutes due to copyright considerations. This study concludes that AIGC technology can provide innovative and competitive solutions for cosmetic retail facade design. Furthermore, AIGC is expected to offer creative and innovative application strategies in commercial space design.