MRI
MRI India Journals Vol. 14 No. 1 (2025)

AI Image Generator Using Open Source for Text to Image

Authors

  • Samina Anjum Lateef Assistsnt Professor Department of computer science and Engineering Anjuman College Of Engineering and  Technology, Nagpur, India
  • Mohd Alkama Ansari Department of computer science and Engineering Anjuman College Of Engineering and  Technology, Nagpur, India
  • Monir Ansari Department of computer science and Engineering Anjuman College Of Engineering and  Technology, Nagpur, India
  • Tanmay Manwatkar Department of computer science and Engineering Anjuman College Of Engineering and  Technology, Nagpur, India

DOI:

https://doi.org/10.65521/ijeecs.v14i1.433

Keywords:

AI Image Generators Generative Adversarial Networks Test To Image

Abstract

AI image generators have revolutionized digital creativity by facilitating the automatic production of visual content. These tools employ sophisticated machine learning methods, like Generative Adversarial Networks (GANs) and diffusion models, to create images from text descriptions or existing data. Their uses extend across multiple sectors, including art, advertising, and entertainment, enhancing design processes and encouraging innovation. Despite their advantages, issues related to ethical considerations, biases in training data, and copyright concerns persist. As technology advances, AI-generated images are anticipated to become more accurate, accessible, and versatile, thereby influencing the future of digital content creation.

 

Downloads

Published

2025-05-23

How to Cite

Lateef, S. A., Ansari , M. A., Ansari , M., & Manwatkar , T. (2025). AI Image Generator Using Open Source for Text to Image. International Journal of Electrical, Electronics and Computer Systems, 14(1), 217–220. https://doi.org/10.65521/ijeecs.v14i1.433

Issue

Section

Articles

Similar Articles

<< < 6 7 8 9 10 11 12 13 > >> 

You may also start an advanced similarity search for this article.