Advancements in Generative AI: Transforming Text-to-Image Models

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Atika Nishat
Hadia Azmat

Abstract

Generative Artificial Intelligence (AI) has witnessed transformative advancements in recent years, particularly in the domain of text-to-image models. These models bridge the gap between natural language processing (NLP) and computer vision, enabling the generation of detailed and realistic images based on textual prompts. This paper explores the progression of text-to-image models, highlighting key innovations, challenges, and applications. By examining state-of-the-art models and emerging trends, this study underscores the profound impact of generative AI on various industries, as well as its potential for shaping the future of creativity and automation.

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How to Cite
Atika Nishat, & Hadia Azmat. (2024). Advancements in Generative AI: Transforming Text-to-Image Models. Pioneer Research Journal of Computing Science, 1(1), 48–53. Retrieved from http://prjcs.com/index.php/prjcs/article/view/15