Exploring the Fusion of Fashion and Artificial Intelligence

Date 16 February 2024

Delving into the realm of text-to-image Generative AI models, experimenting with platforms such as Stable Diffusion and Midjourney, and examining the evolving landscape of Generative AI images

Captured by Richard Byles, Learning Technologist

Jane Mills’ Pioneering Journey – Vulcan Sessions Talk

In this short film Jane Mills delves into the realm of text-to-image Generative AI models, experimenting with platforms such as Stable Diffusion and Midjourney. Initially encountering what she described as “odd and distorted” images, she highlights the evolving landscape of Generative AI images during this period.

“In 2023 the images started to look better,” Jane explains, noting a significant breakthrough as these AI models began capturing intricate details, showcasing her expertise as a fashion specialist, particularly in facial features, colour pallets, fabric textures and embellishments.

By May 2023, AI integration became a reality in the discipline of Fashion teaching. Jane champions the fusion of human creativity with machine efficiency, enabling designers to conceptualise runway shots, intricate patterns, and expressive collages.

Highlighting the importance of designing detailed prompts, Jane illustrates how specifying techniques, mediums, and styles could lead to incredible results, ranging from watercolor cityscapes to photorealistic textures.

Generative AI serves as a powerful tool that provides fresh perspectives, preparing students for the ever-evolving fashion industry. This approach facilitates faster design processes, hones skills, and meets industry demands.

“It’s an assistive tool, a collaborator that empowers human imagination. As students gain valuable experience using this transformative technology, they’re not just designing the future of fashion; they’re shaping the way we think about its creation,” she emphasised.

Captured by Richard Byles, Learning Technologist
Captured by Richard Byles, Learning Technologist

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