International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Textual Prompt Interpretation for Image Synthesis Using Generative AI Techniques

Author(s) Mr. Rahul Magaji, Prof. Dr. Anita Harsoor, Mr. Rakesh Rathod, Mr. Prajwal Nillor
Country India
Abstract This paper describes how the design and development of a text-to-image creation application for mobile phones with advanced ways of generating artificial intelligence. Users have access to the application to insert text prompts and get relevant responses and AI-generated images. It relies on a form of diffusion model with Replicate as its host platform. visual results that are accurate and well-constructed. ExpressJS is used on the backend, and React Native (Expo) is used on the frontend. Strapi CMS is used together with PostgreSQL for backend development. The media storage and retrieval are done through Neon.tech delivered through Cloudinary to make the user experience smooth and efficient and have the ability to deal with media smoothly. Emphasis is given to the architecture, modular design, the ability to grow and cloud-powered features to keep users performing in real time. The paper shows the way the system was set up and how it was built. This permits more people to access user-friendly creative AI tools to boost the ways of content generation.
Keywords Generative AI, Text-to-Image Generation, Diffusion Models, React Native, Strapi CMS, Cloudinary, Replicate AI
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-06-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.47632
Short DOI https://doi.org/g9pz5r
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