• Title/Summary/Keyword: GPT-3.5 Turbo Instruct

Search Result 1, Processing Time 0.016 seconds

A Design and Implementation of Generative AI-based Advertising Image Production Service Application

  • Chang Hee Ok;Hyun Sung Lee;Min Soo Jeong;Yu Jin Jeong;Ji An Choi;Young-Bok Cho;Won Joo Lee
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.5
    • /
    • pp.31-38
    • /
    • 2024
  • In this paper, we propose an ASAP(AI-driven Service for Advertisement Production) application that provides a generative AI-based automatic advertising image production service. This application utilizes GPT-3.5 Turbo Instruct to generate suitable background mood and promotional copy based on user-entered keywords. It utilizes OpenAI's DALL·E 3 model and Stability AI's SDXL model to generate background images and text images based on these inputs. Furthermore, OCR technology is employed to improve the accuracy of text images, and all generated outputs are synthesized to create the final advertisement. Additionally, using the PILLOW and OpenCV libraries, text boxes are implemented to insert details such as phone numbers and business hours at the edges of promotional materials. This application offers small business owners who face difficulties in advertising production a simple and cost-effective solution.