Generative AI Art - portrait photography

• Main Author: Ma, Jiaxin
• Other Authors: Chia Liang Tien, Clement
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Stable diffusion; Generative AI art
• Online Access: https://hdl.handle.net/10356/175330
• Institution: Nanyang Technological University

In recent years, the significance of artificial intelligence in art and image generation has become increasingly apparent, with the rise in popularity of AI image generators like DALL·E, MidJourney, and Stable Diffusion highlighting the myriad advantages and applications of automated image creation. This project aims to explore the utilization of AI image generation techniques and develop a prototype image generator. Drawing upon insights gained from various computer science courses, the project will focus on designing a user-friendly web interface tailored specifically for photographers. The objective is to create an image generator capable of producing new images based on predefined parameters such as prompts, controNets, and styles. In this project, the Stable Diffusion pipeline is utilized to design the customed web UI. This choice is made to leverage the robust capabilities of Stable Diffusion in image generation and to provide a seamless and efficient user experience for photographers. By integrating Stable Diffusion into the project, we aim to enhance the quality and versatility of the generated images while ensuring ease of use and accessibility for users.