A Study on Personal Beauty Image Generation Using AI: Focusing on the Use of DALL-E3

Today, humans and AI are promoting each other’s creativity in the fields of art, literature, and music created by AI, and beauty-related experts currently play the role of consultants who suggest opinions such as finding appropriate colors and styles through mutual communication with customers. It is changing.The purpose of this study is to produce AI models for each of the four seasons through the artificial intelligence image generation AI DALL-E3 for personal color images of the four seasons and beauty styling elements. Through this, the significance of this study is to reduce communication about personal color images of the four seasons and to identify the possibilities and limitations of generative AI. As a research method, beauty styling elements were organized based on images for each season through a review of previous research, and Prompts were composed by reflecting Khizer Abbas’s Chat GPT Prompt Framework R-I-S-E and R-T-F. One model image for each of the four seasons was created using the Frameworks R-I-S-E and R-T-F. Lastly, the generated AI model images were analyzed and evaluated, and whether the characteristics of beauty styling according to the images of each four seasons were well expressed were evaluated.As a result of the study, it was confirmed that the Prompt guide Framework R-I-S-E and R-T-F can produce the results desired by the creator. Limitations of the study include its dependence on the quality and function of current artificial intelligence.