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This system is an advanced AI driven approach that converts textual descriptions into visual images and short videos. This model integrates Stable diffusion, a powerful latent diffusion model, it interprets user input and generates realistic visuals with good quality. This model leverages natural language processing(NLP) and deep learning techniques to understand input text and generate coherent images by refining noise. The integration of Contrastive Language- Image Pretraining(CLIP) helps align textual semantics with visual representations, ensuring meaningful output. With applications in digital art, content generation, the system enables users to generated accurate images efficiently. This system highlights the potential of generative AI in creative and potential domains, opening new possibilities in automated visual content creation.
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*Corresponding Author: Rajesh Babu, rajeshbabud.cse@srit.ac.in
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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