On 8 August 2021, Till announced on his social media profiles to sell Till-related NFTs.
The NFTs are sold on the website Marketplace and range from 199 € to 100,000 €.
6 August 2021: themed around the music video of Любимый город (Orchestral Version). The paintings are made by Russian artist Natalia Handoga, who previously made artworks for multiple Lindemann releases.
On 13 August 2021, a news site reported, that the imagery and the name of the Hermitage Museum were used without their consent. Additionally, the usage of such was forbidden by a contract, which Till had to sign in order to shoot his music video there.[1]
Unreleased one-shot music video of Till Lindemann’s Любимый город "LUBIMIY GOROD” (Beloved Town - Orchestral Version) in the State Hermitage Museum in Saint Petersburg, Russia. The owners of these 10 limited NFTs will be invited (+1) to a dinner with Till Lindemann in Moscow including cost coverage for flight, accommodation and visa for buyer and companion. The invitation must be redeemed until the 22.08.2021 the latest. Instructions will be unlocked after purchase.
Unique 2048 x 2048 animation generated with GAN from Lindemann portrait dataset. Generative Adversarial Networks (GANs) are AI architectures that can generate images. By analysing datasets GANs learn image features in a similar way to humans, generalizing visual patterns into conceptual understanding.
2048 x 2048 animation generated with GAN from Lindemann portrait dataset. Generative Adversarial Networks (GANs) are AI architectures that can generate images. By analysing datasets GANs learn image features in a similar way to humans, generalizing visual patterns into conceptual understanding.
2048 x 2048 animation generated with GAN from Lindemann portrait dataset. Generative Adversarial Networks (GANs) are AI architectures that can generate images. By analysing datasets GANs learn image features in a similar way to humans, generalizing visual patterns into conceptual understanding.
2048 x 2048 animation generated with GAN from Lindemann portrait dataset. Generative Adversarial Networks (GANs) are AI architectures that can generate images. By analysing datasets GANs learn image features in a similar way to humans, generalizing visual patterns into conceptual understanding.