Authors : Chaitenya Chand; Prashant

Volume/Issue : Volume 10 - 2025, Issue 6 - June

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Google Scholar : https://tinyurl.com/aywcy8y5

DOI : https://doi.org/10.38124/ijisrt/25jun934

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : This research paper explores the development of an AI-powered text-to-image generation system leveraging Stable Diffusion and Flask. The project aims to provide an accessible interface for users to create high-quality images from textual descriptions while integrating multilingual support via Google Translate. The paper discusses the methodologies employed, including deep learning techniques, API integration, and optimization strategies. Challenges such as API rate limits, ambiguous text processing, and performance enhancements are examined. The study further evaluates the impact of AI in creative industries and suggests future improvements for enhanced customization and mobile deployment.

Keywords : AI-Generated Images, Stable Diffusion, Flask, Hugging Face API, Text-to-Image, Multilingual AI, Deep Learning, Generative Models.

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