Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{202472,
author = {Dr. Nazirkar S. B. and Pokar Gauravkumar Vinod and Taware Swananad Suryakant and Suryawanshi Shruti Santosh and Patil Nikhil Bhagwat and Dr. Shah Saloni Niranajn},
title = {Text to image synthisis using modified GANs},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {7410-7415},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=202472},
abstract = {Today, with the emergence of artificial intelligence and automated systems, the demand for tools that are capable of generating creative and intelligent content exponentially increases every day. Traditional methods of producing graphics and hand illustrated images take a great deal of time and effort; often requiring great technical expertise. To help solve this problem, we have created Promtify – Text-to-Image Generation System as a web based SaaS application developed using Java Spring Boot, REST APIs and AI-based picture generation models. Promtify allows users to create and generate quality realistic images from text descriptions entered into text prompts. By bridging the gap between creative thoughts and producing imaginative output on the web, Promtify provides an avenue for everyone’s creativity to be realized digitally.},
keywords = {Ride-sharing, blockchain, smart contracts, WebSockets, decentralized applications, Ethereum, deterministic wallets.},
month = {May},
}
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