Порівняльний аналіз генеративних моделей для створення дизайну друкованих видань

Abstract

The rapid development of AI technologies has significantly influenced the field of graphic and printing design. Generative models enable designers to create visual concepts, illustrations and graphic elements for printed products. This paper analyzes several popular generative models used in graphic design, including Midjourney, DALL-E and Stable Diffusion. Their features, advantages and limitations are considered. A comparative analysis of these models is carried out in terms of image quality, flexibility and suitability for creating design elements for printed publications. The results demonstrate the potential of generative artificial intelligence to improve the efficiency and creativity of the design process in the printing industry.