Infinite Reverie: Beyond the Threshold of Virtual Tales

In the era of artificial intelligence, automated storytelling has gained significant traction, revolutionizing content creation. This paper presents an AI-driven story generation system that combines text generation and image synthesis to create engaging narrative experiences. The system utilizes Gen AI based LLM for text generation and a blackforest's text-to-image model deployed on AWS SageMaker to produce coherent and visually enriched stories. Users can input prompts, customize both textual and visual elements, and download the final story as a PDF. The model is integrated into a Flask-based web application with user authentication, providing an intuitive interface for seamless interaction. Our approach enhances creative writing by offering dynamic, context-aware storytelling, catering to writers, educators, and entertainment industries. Performance evaluation demonstrates the system's effectiveness in generating diverse and contextually relevant narratives. This research contributes to the advancement of AI in creative applications, opening new possibilities for interactive storytelling.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/icetea64585.2025.11100117
Primary Topic
Cinema and Media Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Infinite Reverie: Beyond the Threshold of Virtual Tales

V. Vishal, Gopi Kuppan Thirumalai, C. Bharanidharan, T Varadharaj
Cinema and Media Studies
article

Infinite Reverie: Beyond the Threshold of Virtual Tales

V. Vishal, Gopi Kuppan Thirumalai, C. Bharanidharan, T Varadharaj
article en

Abstract

In the era of artificial intelligence, automated storytelling has gained significant traction, revolutionizing content creation. This paper presents an AI-driven story generation system that combines text generation and image synthesis to create engaging narrative experiences. The system utilizes Gen AI based LLM for text generation and a blackforest's text-to-image model deployed on AWS SageMaker to produce coherent and visually enriched stories. Users can input prompts, customize both textual and visual elements, and download the final story as a PDF. The model is integrated into a Flask-based web application with user authentication, providing an intuitive interface for seamless interaction. Our approach enhances creative writing by offering dynamic, context-aware storytelling, catering to writers, educators, and entertainment industries. Performance evaluation demonstrates the system's effectiveness in generating diverse and contextually relevant narratives. This research contributes to the advancement of AI in creative applications, opening new possibilities for interactive storytelling.

GS Engineering (United States) (US)
Openalex Percentile: Top 72%
Cinema and Media Studies
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