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DeepMint: Non-fungible Token Generation Using Deep Learning

  • Vaibhav Ambhire,
  • Tushar Nankani,
  • Shobhit Mirjankar,
  • Vivek Namaye,
  • Parth Namdev

摘要

NFTs (Non-Fungible Tokens) are digital assets that can be held by users who are part of the blockchain network. These tokens are unique and irreplaceable. Their ownership is recorded in the blockchain, and this ownership can be transferred by the owner, allowing NFTs to be sold and traded. They recently gained huge popularity as many users created NFTs and sold them at good prices. However, to create appealing and profitable NFTs, one must be good at creating digital art or must hire an expert artist. To eliminate the need to have expertise in digital art, Deep Learning solutions can be used to generate digital art thus making the entire process of creating NFTs convenient for the user. One such solution is the Stable Diffusion model which uses Deep Learning methods such as autoencoders, diffusion and transformers for generating images. Thus, using AI, NFTs can be generated and later sold on NFT marketplaces such as OpenSea.