0xd88b2d4b…a1basent to0x31bbc8af…feb1·#25,087,419·view on Etherscan
{"name":"The Florentines #674","description":"1,401 Renaissance masters. 8-bit Gameboy aesthetic. 100% onchain.\n\nMint a Florentine base and pick the traits. The contract enforces uniqueness, no duplicates. Swap them anytime.\n\nSSTORE2 keeps every pixel onchain forever, no matter the traits.\n\nCustomize your Florentine @ https://theflorentines.xyz","image":"data:image/png;base64,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","base":"Mona Lisa","attributes":[{"trait_type":"Base","value":"Mona Lisa"},{"trait_type":"Background","value":"Brunelleschi Night"},{"trait_type":"Neck","value":"Lay"},{"trait_type":"Head","value":"Unicorn"},{"trait_type":"Eyes","value":"Nouns"},{"trait_type":"Mouth","value":"Pipe"}]}