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How to Use AI in Fashion: The Metaverse and Virtual Style

Glance
Glance2025-04-22

Introduction

Virtual fashion shows, AI-designed avatars, and digital-only collections are no longer science fiction—they’re here. From interactive clothing in the metaverse to AI-generated garments worn by avatars, the fashion industry is undergoing a digital revolution.

In this blog, we’ll explore how to use AI in fashion to create, personalize, and distribute style in the virtual realm. A new wave of platforms is connecting users to these cutting-edge fashion experiences.

What Is Virtual Fashion in the Metaverse?

Virtual fashion refers to clothing and accessories created for digital environments, including avatars in the metaverse or augmented reality (AR) try-on apps. These garments exist only in virtual spaces and allow users to dress their digital selves.

In metaverse fashion shows, viewers can attend via VR headsets or interactive platforms. NFTs, or non-fungible tokens, serve as proof of ownership for exclusive digital wearables. This creates a thriving ecosystem where fashion lives beyond fabric and form, representing identity in both social and gaming worlds.

How Generative AI Is Powering Virtual Style

AI-Driven Design Tools

Generative AI tools like Midjourney, DALL·E, and Runway ML empower designers to rapidly generate concepts, textures, and full digital outfits. Instead of manually sketching ideas, designers input prompts and receive instant inspiration. This reduces creative blocks, speeds up prototyping, and sparks innovation.

Virtual Clothing Generation

AI can design garments that exist solely in digital space. From flowing fantasy gowns to futuristic streetwear, these clothes are worn by avatars or superimposed via AR. Brands and independent creators alike are tapping into this trend to offer digital exclusives.

Avatar Personalization with AI

AI matches digital outfits to users based on preferences, mood, or identity. It also customizes avatars to reflect real-world body types or fantasy personas. This fosters more inclusive digital expression and enhances user engagement across games, virtual worlds, and shopping platforms.

Shopping in the Metaverse: AI Meets E-commerce

In the metaverse, AI enhances ecommerce by allowing users to virtually try on clothes using AR or 3D avatars. Recommendation engines powered by AI suggest items based on previous purchases, avatar styles, or social media trends.

Platforms like Glance are emerging as key players, offering AI-curated fashion feeds and personalized digital clothing experiences. From instant try-ons to AI stylist bots, e-commerce in the metaverse is becoming deeply interactive.

Real Brands in the Virtual World

Brand

Virtual Fashion Initiative

Tech Used

NikeNikeland on RobloxAR, AI
GucciVirtual Garden & NFTsAI, AR
BalenciagaFortnite collab3D Design
DressXDigital clothing for avatarsAI, NFT

These brands are redefining their presence by investing digitally, offering immersive and collectible experiences beyond traditional retail.

Benefits of AI in Fashion & Metaverse

Sustainable Innovation

AI-generated digital fashion eliminates the need for physical materials, cutting down drastically on textile waste, water consumption, and carbon emissions. Designers can experiment endlessly without contributing to landfill or fast fashion. This tech-led approach supports a cleaner, more eco-friendly fashion ecosystem. It also aligns with growing consumer demand for sustainability and ethical practices.

Unlimited Creativity

In the metaverse, physics, and fabric constraints don’t exist—designers can create flowing dresses made of fire or holographic streetwear with zero limitations. Generative AI enables designers to input wild concepts and receive fully formed digital garments instantly. This level of creative freedom invites unconventional, boundary-pushing style statements. It democratizes innovation, regardless of material access or production budgets.

Global Access to Style

With virtual clothing, high fashion is no longer reserved for elite circles—anyone with a smartphone or VR headset can access stunning digital outfits. AI tools allow users from across geographies and backgrounds to style their avatars or try on looks in augmented reality. No shipping costs or showroom visits needed—just pure style, instantly accessible. Fashion becomes a global playground instead of a gated runway.

Data-Driven Personalization

AI doesn’t just suggest clothes; it studies preferences, body types, and style history to deliver hyper-personalized fashion recommendations. From avatar styling to virtual try-ons, this precision enhances user experience dramatically. Brands can also use this data to predict trends and design collections tailored to specific customer segments. The result? A fashion journey that feels made just for you—every step of the way.

Challenges & Criticisms

Ethical Concerns

AI-generated fashion raises questions about originality, copyright, and design ownership. With AI tools creating entire collections, who holds the creative rights? Additionally, deepfake technologies and data misuse pose privacy risks in virtual styling.

Digital Divide

Not everyone has access to VR/AR-compatible devices, high-speed internet, or advanced smartphones. This limits who can participate virtually, exacerbating existing inequalities in tech access and digital literacy.

Rapid Tech Evolution

AI and metaverse platforms evolve rapidly, often outpacing regulation and consumer understanding. This fast-paced change can create confusion or hesitation, slowing adoption in traditional fashion circles.

How to Use AI in Fashion as a Creator or Consumer

For Designers

Designers can leverage AI tools to sketch, generate, and visualize garments instantly. Tools like CLO3D, Daz 3D, and Midjourney support virtual fittings and presentation. Participating in platforms like DressX lets designers monetize digital-only collections and gain visibility in virtual fashion weeks.

For Consumers

AI-driven shopping apps let users try on clothes using just a selfie or avatar. Platforms like Glance recommend digital outfits based on user behavior. Consumers can also use avatar creators to customize their virtual presence or attend digital fashion shows and social VR experiences.

The Future of Fashion: AI, Avatars & the Metaverse

The fashion industry is moving toward hyper-personalized, AI-powered experiences where users express identity through both real and digital wardrobes. Smart mirrors, wearable AR, and biometric-based clothing suggestions are emerging trends.

Entirely virtual fashion lines will gain popularity, and AI-first fashion platforms will lead the way by blending content, commerce, and creativity to shape how we dress ourselves—digitally and physically.

Conclusion

Generative AI and the metaverse are revolutionizing fashion as we know it. From sustainability and creativity to accessibility and personalization, AI empowers both designers and consumers to reimagine what style means.

If you're curious about how to use AI in fashion, start exploring virtual wardrobes, AI-generated looks, and metaverse fashion platforms. The future of fashion is digital—and it's waiting for you.

FAQs

How does AI contribute to the creation of virtual fashion experiences within the metaverse?

AI helps design digital garments, powers personalized recommendations, and drives avatar styling across AR/VR platforms.

How is AI used in the metaverse?

AI is used to generate content, predict trends, style avatars, and provide personalized fashion experiences within immersive digital environments.

How does AI contribute to the enhancement of virtual cultural experiences within the metaverse?

AI curates culturally relevant virtual fashion experiences, adapting styles based on location, heritage, or emerging subcultures.

What is a metaverse platform with generative AI capabilities?

Platforms like Glance integrate generative AI with fashion discovery, enabling users to try on, customize, and shop virtual looks.

How is AI used in virtual reality?

In VR, AI enables real-time environment adaptation, style simulation, avatar interaction, and intelligent content generation.