earticle

영어

This study aimed to explore the process of producing physical biomorphic nail art using digital images generated through the image-generation platform ‘Midjourney’. Through an analysis of previous studies, biomorphic expressive characteristics were classified into five categories: dynamic formative qualities, symbolic color expression, continuous fluidity, biological abstraction, and surrealism. Based on these characteristics, prompt engineering was conducted by designing and refining text prompts, and visual images generated via Midjourney were analyzed and selected for physical nail-art production. The results confirmed that generative AI serves not merely as a tool for producing visual imagery but as a creative collaborator capable of enhancing creativity and expanding design diversity. Moreover, by addressing challenges that arise when translating the textures and colors of digital images into physical works, the study demonstrates that image-generation AI can enhance both creative productivity and practical applicability within the beauty-art field. By presenting a case that connects digital-image–based nail-art design to its physical implementation, this study is expected to provide foundational data for future research on the use of generative AI in beauty design and education.

중국어

本研究旨在通过图像生成平台Midjourney生成的数字图像,探索仿生美甲艺术的实际制作过程.通过对研究现行研究的分析,将仿生表现特征归纳为动态造型性, 色彩象征性, 持续连贯性, 生物抽象性及超现实性五大类别,本研究以这些特性为核心开展文本提示工程 设计与优化,并通过分析Midjourney平台生成的视觉图像,将其转化为实体美甲艺术作品, 研究结果表明,生成式AI已突破单纯视觉图像的局限,展现出与人类协作开发创造力与设计 多样性的创作伙伴潜力,此外,通过克服数字图像在质感和色彩还原过程中产生的各类问 题,本研究证明生成式AI能够显著提升美容艺术领域的创意产出效率和实际应用价值,通过 将数字图像设计与实体美甲制作全流程相结合的案例,本研究为未来美容设计与教育领域开 展生成式AI应用研究提供了基础性参考数据.