Image Generation Using Generative AI: Comparison Between OpenAI Art and Stable Diffusion
Year: 2025
Type: article
Abstract: Generative AI has made significant strides in image generation, with OpenAI Art and Stable Diffusion emerging as two prominent tools in the field. This study aims to compare the capabilities of these two models in terms of performance, quality, and creativity in generating images based on text prompts. We evaluate both tools using a range of image categories, assessing their output for accuracy, creativity, and consistency with provided instructions. The findings suggest that while OpenAI Art offers faster responses and simpler outputs, Stable Diffusion excels in producing more realistic and diverse images. This paper delves into the methodologies of both tools, offering insights into their strengths and limitations, and provides a comprehensive comparison based on experimental results.
Author: Ismael Khaleel Khlewee
Institution: Sunni Endowment Diwan
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408317335