Thursday 13 July
16:30 – 18:00
Makers Space
Explore the potential of augmented reality using AR technology in this creative and practical workshop!
In this exciting digital workshop, the GN3RA team will guide you through how to design digital fashion in just a matter of minutes in GN3RA, while helping you to learn the basics of how to design digital fabrics with AI using Midjourney.
Digital outfits, play an essential role in online presence, fueled by a growing demand for more control over how we represent ourselves on online platforms or in AR. Currently creating 3D outfits from scratch is difficult, while customising outfits in-game is very limiting. GN3RA is the worlds first and most accessible digital fashion design platform, where anyone can create digital outfits without tech or fashion skills. You can share your creations with creative communities worldwide, while our soon debuting features will allow you to wear the outfits as AR filters and on hyper-real avatars across the Metaverse.
To celebrate collective creativity, the team will select the best AI generated fabric designs created during the workshop for implementation into GN3RA, so the whole world can design with you!
GN3RA
The workshop will be run by the founder and CEO of GN3RA, Lili Eva Bartha. Lili is an award-winning Digital Fashion and XR specialist, with a combined background in math and fashion design. Since 2020, her immersive studio has assisted a number of fashion, gaming and entertainment businesses to explore the digital space, while developing speculative projects on presence and creativity in AR and VR as artist in residence in digital fashion at the Amsterdam University of Applied Sciences. Lili is a keen researcher and lecturer at a number of universities and research organizations (e.g. Future Fashion Factory, University of Arts London, Royal College of Art) in New Media and Digital Fashion, dedicated to promote digital solutions that can facilitate a more democratic, sustainable and diverse future in the creative and lifestyle sector.
