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NFT Image

Marking a date in NFT history, this piece depicts the epic Crypto crash of January 2022. A time that will be long remembered. Are we all going to make it?! An original piece from a multi-award winning 3D artist with 30 years of pro-design experience. ZBrush and Photoshop. One randomly selected collector will receive a one-off 1/1 to accompany this historic piece.

KnownOrigin

NFT Image

Made from a lidar scan of a section of Sawley Abbey, a ruined 12th Century monastery in Lancashire. Rendered and animated in Cinema 4D, then each of the 169 frames enhanced with machine learning techniques from various text prompts.

KnownOrigin

NFT Image

Made from a lidar scan of a section of Sawley Abbey, a ruined 12th Century monastery in Lancashire. Rendered and animated in Cinema 4D, then each of the 169 frames enhanced with machine learning techniques from various text prompts.

KnownOrigin

NFT Image

Made from a lidar scan of a section of Sawley Abbey, a ruined 12th Century monastery in Lancashire. Rendered and animated in Cinema 4D, then each of the 169 frames enhanced with machine learning techniques from various text prompts.

KnownOrigin

NFT Image

Made from a lidar scan of a section of Sawley Abbey, a ruined 12th Century monastery in Lancashire. Rendered and animated in Cinema 4D, then each of the 169 frames enhanced with machine learning techniques from various text prompts.

KnownOrigin

NFT Image

Made from a lidar scan of a section of Sawley Abbey, a ruined 12th Century monastery in Lancashire. Rendered and animated in Cinema 4D, then each of the 169 frames enhanced with machine learning techniques from various text prompts.

KnownOrigin

NFT Image

Made from a lidar scan of a section of Sawley Abbey, a ruined 12th Century monastery in Lancashire. Rendered and animated in Cinema 4D, then each of the 169 frames enhanced with machine learning techniques from various text prompts.

KnownOrigin

NFT Image

Made from a lidar scan of a section of Sawley Abbey, a ruined 12th Century monastery in Lancashire. Rendered and animated in Cinema 4D, then each of the 169 frames enhanced with machine learning techniques from various text prompts.

KnownOrigin