Bella Hadid Joins Metaverse With BY-B3LLA NFT Collection Based on 3D Scans of Face, Body
US supermodel Bella Hadid has stepped from the catwalk into the metaverse with the launch of CY-B3LLA – a collection of Non-Fungible Tokens featuring artwork based on 3-D scans of her face and body Teacher.
Hadid, 25, told Reuters in an interview from New York that she was intrigued by the shared virtual world environment and that she wanted to create an “interesting version” of herself after becoming obsessed with it. video games during COVID-19 lockdown.
Before that, she said on her Instagram account that she created NFT to “encourage tourism, community, growth, imaginative and human interaction”.
NFT is a digital asset that exists on blockchain, a record of transactions is kept on networked computers. All types of digital objects – including images, videos, music and text – can be bought and sold as NFTs.
“It was so much fun,” Hadid said of the process, and said the end result actually had her “correct facial expressions”.
Her collection includes 11,111 NFTs and they are made in partnership with the NFT reBASE minting platform.
The inspiration for the CY-B3LLA NFT came from 10 different countries, with input from local artists.
“To see the version of me their brains have created is really exciting… There are so many different versions of me you can create and not the version I’ve ever dreamed of,” she said. speak.
The location and accompanying digital assets will be revealed between now and September, with the first batch featuring the Japanese-inspired robot-style Hadid.
Each NFT also acts as a passport to the global community, unlocking rewards and giving holders access to actual events attended by Hadid.
The date when the NFTs may be closed has yet to be announced, but interested buyers can apply online.
Hadid said: “It’s really exciting to see people really want to get involved.
“Every time I put something out, it’s like a birthday party, like nobody’s going to show up. And so it’s great to see… people really… tune in and understand it. .”
© Thomson Reuters 2022