Generating Images From Text Using Deep Learning (KEY IJP************375)

• M.sharmila Devi,G.chandra Sekhara Sesha Sai,S Althaf,P.haneesh,S.samara Simha

Abstract

Text-to-image synthesis allows users to generate visual representations of textual concepts, bridging imagination and images. This project explores leading deep learning techniques for text-to-image generation through an accessible web interface. At the core is a text-to-image model leveraging deep neural networks, integrated into a Python backend. This enables robust image generation from textual descriptions. The frontend sends user text to this API and displays the results. By creating an intuitive web application, this project makes text-to-image technology available to everyday users. The range of potential applications is vast, from education to content creation and meme generation. This demonstrates a practical deployment of deep learning for creative purposes. Through an easy-to-use web interface, users can leverage powerful AI to turn language into imagery. The project bridges the gap between text and images, two central mediums of communication. Users can easily obtain visual embodiments of textual concepts. This expands human creative potential. This project explores text-to-image generation through an innovative web platform. The combination of accessibility and deep learning represents a meaningful advance in deploying AI for creativity.Keywords: Deep learning, HTML, CSS, Javascript, Flask, Pillow, Django