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
{"title":"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","authors":"Myoung-Joo Lee, Esther Choi","doi":"10.52660/jksc.2023.29.4.1058","DOIUrl":null,"url":null,"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.","PeriodicalId":17378,"journal":{"name":"Journal of the Korean Society of Cosmetology","volume":"32 4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean Society of Cosmetology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52660/jksc.2023.29.4.1058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.