Many artists in Web3 use generative machine learning models to create digital art to sell as NFTs. This often involves re-training a model on a dataset collected by the artist, and publishing the output images on an NFT marketplace. Experimenting with newly-collated datasets and training procedures is time-consuming and expensive, meaning that artists are highly protective of these assets. However, recent private AI and decentralized marketplace (e.g. Ocean Protocol) technologies may enable artists to monetize their datasets and models while maintaining control and privacy. This has the added advantage of unlocking more value for artists and NFT enthusiasts through tokens, liquidity pools and staking.