생성형 인공지능(AI) 활용 텍스타일 디자인 -디자인 플랫폼 활용을 중심으로-

This study aims to utilize generative AI in the field of textile design to produce efficient design outcomes. Taking rapidly advancing search-engine-based AI and image generative AI as its research background, the study analyzes practical applications within the textile industry. The scope includes an examination of the theoretical foundations of textile design and generative AI, from which the potential range of applying image-generative AI is derived. Based on these findings, the study proposes a textile design process incorporating AI and compares and analyzes design outputs generated by major platforms such as Midjourney, DALL-E3, Leonardo AI, and Adobe Firefly. The results indicate that image-generative AI significantly enhances efficiency by rapidly handling complex tasks in the textile design process. However, it was also confirmed that due to current technological limitations, designer intervention at critical points is essential to achieve outputs aligned with specific objectives. Furthermore, throughout the entire process including the utilization of search-engine-based AI, the selection of AI platforms, and the final design choice designers’ AI literacy, adaptability to technological changes, and judgment of the informational value were identified as key criteria influencing the quality of the final design. In addition, even highly innovative and efficient AI technologies cannot fully control variables such as repeat accuracy, unintended motif alterations, and the level of designer expertise. Although there are still challenges in completely realizing the designer’s intent, the use of generative AI in the textile design field is expected to grow rapidly, underscoring the need for continued research. Designers must also act as responsible “guardians” for images created in collaboration with AI. It is hoped that this study contributes to establishing an ethical and responsible role for designers within the textile design industry.