NFTEA Gallery

"damage" by nft.artist

Attestation: "This is original artwork for which no prior tokenization exists or has been authorized by me."
Narrative: "Input: damage batter break burn contaminate cripple harm hurt impair infect injure maim mangle pollute ravage smash wreck. Style: abstract"
Acknowledgments: "This NFT's images were generated from a combination of positive & negative text prompts with VQGAN and CLIP (z+quantize method)."
Asset name: NFTEA.DAMAGE
Current owner: ???
Quantity issued: 1
File type: NFT/ART/VISUAL
File encoding: ipfs
Precision: 0
Asset issuer: ???
Creation block: 63136799
Creation time: 2021-10-26T16:53:54
VQGAN
CLIP
Artificial Intelligence
Machine Learning

No NFT tags
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The NFT titled 'damage' (NFTEA.DAMAGE) can be traded/transfered on the Bitshares decentralized exchange
Bitshares explorers
No flags are currently enabled.
charge market fee
white list
override authority
transfer restricted
disable force settle
global settle
disable confidential
witness fed asset
committee fed asset
Signature
1f15856de06f6b779996706d0f951468eb04191d867ba16cc6c049ccb0fcd10cdc34b936d6ab611f8399223d38d0ece4070cf66fc283144f7b5449d6b757919cd4
Signature pubkey/address
BTS67jhuEUeWqSDi3R1Hq4ZPZPZspN5d2nApy2HRueJEkJTt6udVw
Password multihash
License: CC BY-NC-SA-4.0
Holder license: CC BY-4.0
{
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    "symbol": "NFTEA.DAMAGE",
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    "issuer": "1.2.1803677",
    "dynamic_asset_data_id": "2.3.6102",
    "creation_block_num": 63136799,
    "creation_time": "2021-10-26T16:53:54",
    "dynamic_asset_data": {
        "id": "2.3.6102",
        "current_supply": 1,
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        "accumulated_collateral_fees": 0,
        "fee_pool": 48364460
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        "disable_confidential": false,
        "witness_fed_asset": false,
        "committee_fed_asset": false
    },
    "description": {
        "main": "NFTEA.DAMAGE is an NFT created by nft.artist, deployed on the BitShares network. To view this token and others, visit https://nftea.gallery",
        "market": "BTS",
        "nft_object": {
            "acknowledgements": "This NFT's images were generated from a combination of positive & negative text prompts with VQGAN and CLIP (z+quantize method).",
            "artist": "nft.artist",
            "attestation": "This is original artwork for which no prior tokenization exists or has been authorized by me.",
            "encoding": "ipfs",
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            "narrative": "Input: damage batter break burn contaminate cripple harm hurt impair infect injure maim mangle pollute ravage smash wreck. Style: abstract",
            "sig_pubkey_or_address": "BTS67jhuEUeWqSDi3R1Hq4ZPZPZspN5d2nApy2HRueJEkJTt6udVw",
            "title": "damage",
            "tags": "VQGAN,CLIP,Artificial Intelligence,Machine Learning",
            "type": "NFT/ART/VISUAL"
        },
        "nft_signature": "1f15856de06f6b779996706d0f951468eb04191d867ba16cc6c049ccb0fcd10cdc34b936d6ab611f8399223d38d0ece4070cf66fc283144f7b5449d6b757919cd4",
        "short_name": "NFTEA.DAMAGE"
    }
}

NFTEA Gallery

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