The Korean Fashion and Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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A Study on Digital Textile Design using Image-Generative AI

  • Min Nyoung Seo (Dept. of Clothing & Textiles, Pusan National University) ;
  • Young Seok Koo (Dept. of Clothing & Textiles, Pusan National University)
  • Received : 2024.04.15
  • Accepted : 2024.08.12
  • Published : 2024.08.31
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Abstract

This study evaluated the current capabilities of generative AI systems, with a focus on their application in AI-driven textile design, particularly through image-generative AI systems. It also explores the potential application and commercialization of Midjourney, an image-generative AI for digital textile design development. First, ChatGPT-4 was used to analyze textile pattern design trends for 2024/2025. The theme "The Heart of the Forest," derived from Premiere Vision and Heimtextil's 2024/2025 textile trends, was selected. Keywords related to textile design were identified, and natural colors from Heimtextil were chosen. Second, images were generated in Midjourney using three commonly used functions: text, image+image, and image+text. The "/blend" feature in Midjourney was used to create images through the image+image command. Images were generated by typing "image+text" when prompted to create an image. Third, Midjourney and CLO 3D were used for performing virtual fitting. Midjourney's ability to generate perfect images from simple text inputs surpasses the capabilities of many professionals. Not only does it accelerate the design process but also enhances the quality of the designs to a professional level or higher. However, despite these advantages, copyright issues must be addressed. Therefore, we anticipate a synergistic effect when a designer's senses and sensibilities are combined with the unlimited creative possibilities of generative AI.

Keywords

References

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