In recent years, with the rapid development of artificial intelligence (AI) technologies and their application in enhancing and accelerating artistic production—coupled with the declining efficiency of traditional methods—the integration of AI in fashion design has gained significant prominence. This study presents a computer-aided fashion design system that leverages an Interactive Genetic Algorithm (IGA), the Marqo Fashion AI model, and the Stable Diffusion 1.5 generative AI model. A major limitation and challenge in conventional computer-aided fashion design systems has been the necessity of compiling extensive databases of garment component images, which must be seamlessly integrated to form a complete clothing design. In contrast, the utilization of generative AI enables the synthesis of diverse apparel designs without the need for constructing such image databases. In this research, the AI-based design system was implemented, and its performance was evaluated against a traditional database-driven fashion design system. User feedback and evaluation results indicated more efficiency improvement and superiority of the proposed approach compared to the legacy computer-aided design system.