A Study on Creative Nail Art Design Generation Based on Text Prompt: Focused on Image-Generating Artificial Intelligence Models, DALL-E 2 and Bing Image Creator

Myoung-Joo Lee, Esther Choi
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Abstract

Nail art is an artistic activity that requires creativity and skill, reflecting individuality and taste by applying various colors and designs to fingernails. However, due to the limitations of human imagination, knowledge, and technical abilities, it can be challenging to continuously generate new ideas or create intricate and flawless designs. Recently, advances in artificial intelligence (AI) technology have led to the development of AI systems capable of generating images based on user input. These AI technologies can produce realistic, sophisticated, and creative images by interpreting textual prompts. As a result, they have found applications in various fields. In this study, we utilized image-generating AI models such as ‘DALL-E 2’ and ‘Bing Image Creator’ to analyze nail art designs generated based on textual prompts. We demonstrated that the type and content of prompts significantly influence the performance and output of image-generating AI models. By using AI technology as a supportive collaborator for nail artists, we can positively leverage its capabilities to enhance the diversity and quality of nail art designs. This will not only aid nail artists in their work and skill development but also contribute to the advancement of the nail industry by elevating the diversity and quality of nail art designs.
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基于文本提示的创意美甲设计生成研究——以图像生成人工智能模型、dall - e2和Bing图像生成器为中心
指甲艺术是一项需要创造力和技巧的艺术活动,通过在指甲上涂上各种颜色和图案来体现个性和品味。然而,由于人类的想象力、知识和技术能力的限制,不断产生新的想法或创造复杂而完美的设计可能是具有挑战性的。最近,人工智能(AI)技术的进步导致了能够根据用户输入生成图像的AI系统的发展。这些人工智能技术可以通过解释文本提示产生逼真、复杂和创造性的图像。因此,它们在各个领域都得到了应用。在这项研究中,我们利用图像生成AI模型,如“dall - e2”和“必应图像创造者”来分析基于文本提示生成的美甲艺术设计。我们证明了提示的类型和内容显著影响图像生成AI模型的性能和输出。通过使用人工智能技术作为美甲师的支持性合作者,我们可以积极利用其能力来提高美甲艺术设计的多样性和质量。这不仅有助于美甲师的工作和技能发展,而且通过提高美甲艺术设计的多样性和质量,为美甲行业的进步做出贡献。
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