$3k for an Effing Tezzardz and Other Stories About NFT Collections on Tezos
In late August, artist George Goodwin released a collection called Tezzards on Tezos: it is 4,200 lizards in psychedelic sweaters that obviously wear no trousers. Users have bought those effing creatures in 3 hours for a sum total of 63,000 tez.
We liked the collection, so this post will be about Tezzardz as well as the process of developing and releasing randomly generated NFTs.
Snazzy Little Fukkrs
The collection Tezzardz includes 4,200 tokens:
- 4,194 randomly generated ones;
- 6 hand-drawn ones, like the skeleton lizard. He wears no trousers as well, though.
On August 31st, Tezos users bought tezzard eggs at OBJKT.com for 15 tez ($77). The next day, unique lizards hatched, so collectors started fighting for them. At the time of writing, the Tezzardz trading volume has peaked at 1m tez with the cheapest one offered at 620 tez ($3,000).
How artists create NFT collections
NFTs are different from fungible tokens in having an id, thanks to which one smart contract can issue thousands of tokens with unique identifiers and metadata. Metadata is a data type storing the object’s description. In fungible tokens, that would be its name, ticker, permission to transact, and link to the logo. In NFTs, this data is supplemented by id and Artifact URI, i.e. the link to the tokenised object.
Blockchain, in fact, has nothing to do with generating collections. It only connects tokens and URI links, while marketplaces display the contents of the links. It is the artist who generates NFT collections. He or she draws a template (in the case of Tezzards, a black-and-white lizard with no clothes on), then proceeds with separate attributes used for the generation: backgrounds, clothes, accessories, etc.
Tezzardz tokens consist of 97 attributes in 10 categories:
- skin colour;
- skin textures;
- outdoor clothes;
The artist then writes a script, superimposes it over the template using one random attribute from each category. Depending on the settings, it can use all 10 categories or omit some of them. As a result, one has an equal chance to get a lizard dressed to the nines or a shamelessly naked one.
The script then exports the results of superimposing into separate images. The artist writes another script to upload the images to a public server and gets their URI links. Finally, there has to be another script to create the contract’s storage containing all tokens, their metadata, and URI to their respective images.
And that’s it. All that remains is to publish the contract and put the tokens up for sale.
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