Textual Prompt Interpretation for Image Synthesis Using Generative AI Techniques

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.