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A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #740
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #741
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #742
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #743
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #744
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #745
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #746
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Wavatar
Wavatar #747
Wavatar #739
Product Price
Minted on
base
Description
A Wavatar is analgorithmically generated NFT. Each Wavatar is uniquely generated from 8 types of face / eye / mouth / color components.
Reviews
5 out of 5 stars
Verified
Token ID:
#
739
Wavatar
0x11c5...53aCfe
Label
WAVATAR
Collection
See Collection
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Token Standard
ERC 721
What's ERC 721
Owner
0x5C...2787
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Mint Block
11039330
Token URI
data:application/json;base64,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