The collection features 1000 original cinematic art pieces inspired by the actor’s award-winning career.
Oscar award-winning actor Sir Anthony Hopkins has sold out his debut NFT collection “The Eternal Collection” in under 10 minutes.
The collection, created in partnership with Orange Comet Inc, an NFT and Web3-focused design agency, features 1000 original cinematic art pieces inspired by different performances within the actor’s long career.
According to the collection’s description on OpenSea, the body of work “conceptualizes an interpretation of the vast character archetypes Sir Anthony Hopkins has portrayed over his illustrious film career, drawing its potent energy from his stimulating body of art.”
The creative visuals and animations with names like, “The Jester”, “The Lover”, “The Ruler”, “The Rebel”, “The Giver”, and “The Eternal”. Each represents the various archetypal characters played throughout the Hollywood actor’s career.
The NFT, and Web3-focused design agency, Orange Comet Inc alleged that the collection’s sellout was the fastest in OpenSea’s history, though Cointelegraph was unable to confirm the claim prior to publication.
THE ETERNAL COLLECTION SOLD OUT IN LESS THAN 7 MINUTES
THE FASTEST SELL OUT IN @opensea HISTORY
Thank you @AnthonyHopkins
The celebrated actor thanked the NFT community in a tweet stating that he still couldn’t believe the news of the collection’s sell-out.
Thank you, everyone. I woke up this morning to this news, and I still can’t believe it. #TheEternalCollection @opensea @OrangeCometNFT @InnerCityArts https://t.co/vwJGCqicri
The unique 990 one-of-one NFT images come with randomly selected utilities ranging from receiving autographed dreamscapes art books featuring the actor’s paintings and drawings, to intimate discussions with Anothony Hopkins via zoom, and random selections of personalized NFTs with a message from Hopkins airdropped into their wallets.
The project tweeted that this is the fastest-selling NFT collection on OpenSea, but Cointelegraph was unable to verify the accuracy of this claim prior to publication.
