Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{197173,
        author = {M. Darshan Kumar and BJV Varma and M. Uma Pravalika and M. Anthony},
        title = {Decovision: AI-Driven Stable Diffusion and NLP-Powered Automated Event Decoration},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {9201-9205},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197173},
        abstract = {Event decoration is typically demanding for people looking to customize their venue based on chosen themes and financial limits. This project presents an AI-based solution that enables users to submit an image of the event space and input their decoration preferences using text. Employing modern NLP and diffusion models like Stable Diffusion and ControlNet, the system generates visually realistic designs of the user’s space while maintaining the original room structure. It also provides features such as AI-based cost calculation with actual shopping prices, text-based AI decor details of each decor item including style and material, decoration variations based on selected style through a style picker, and the ability to download a full purchase list. This approach eases the process of organising events and offers a unique, AI-driven customized event design.},
        keywords = {Stable Diffusion, ControlNet, Natural Language Processing (NLP), Budget Estimation, Style Picker, Decor Visualization, AI-Generated Shopping List, Smart Event Planning, Automated Design Recommendations, Text-to-Image Generation},
        month = {April},
        }