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{192431,
author = {Sanika Kulkarni and Balaji Chaugule},
title = {Revolutionizing Fashion Design with Multimodal Generative AI and Blockchain-enabled Ownership},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {1779-1784},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=192431},
abstract = {The fashion industry is increasingly shaped by consumer demand for personalized, sustainable, and distinctive designs; however, traditional design processes remain time-consuming and are often unable to meet this demand efficiently. Existing artificial intelligence approaches—particularly Generative Adversarial Networks (GANs)—exhibit limitations such as mode collapse, which results in repetitive and non-diverse outputs. To address these challenges, this paper introduces Style Sensei, a multimodal generative AI–based fashion assistant integrated with blockchain technology. Style Sensei supports text-to-image generation, image-to-image transformation, and sketch-to-image conversion, enabling designers and consumers to explore virtually limitless creative possibilities. Unlike conventional GAN-based systems, Style Sensei leverages diffusion-based generative models to ensure diversity and novelty in fashion outputs. In addition, a conversational AI chatbot delivers personalized outfit recommendations, trend insights, and styling guidance, thereby enhancing user engagement. To guarantee authenticity and ownership, Style Sensei integrates blockchain and Inter Planetary File System (IPFS) technologies, ensuring that each generated design is securely stored and verifiably linked to its creator. Smart contracts record design ownership by associating blockchain wallet addresses with IPFS content identifiers, preventing misuse and plagiarism of digital fashion assets. Experimental evaluation demonstrates the system’s effectiveness in producing high- quality, unique designs while ensuring trust, transparency, and creative freedom. Overall, this work highlights the potential of combining multimodal generative AI with blockchain to revolutionize the fashion industry by creating a secure, diverse, and personalized design ecosystem.},
keywords = {Generative Artificial Intelligence, Multimodal Learning, Fashion Design, Stable Diffusion, Blockchain, IPFS, Smart Contracts},
month = {February},
}
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