0x81ea6606…bcaasent to0x31bbc8af…feb1·#25,741,777·view on Etherscan
{"name":"The Florentines #149","description":"1,401 Renaissance masters. 2-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":"Michelangelo","attributes":[{"trait_type":"Base","value":"Michelangelo"},{"trait_type":"Background","value":"Optimism"},{"trait_type":"Eyes","value":"Eyes 000"},{"trait_type":"Neck","value":"Neck 000"},{"trait_type":"Head","value":"Head 000"},{"trait_type":"Mouth","value":"Mouth 000"}]}