# The Wearables Museum

> New formats (glTF and USDZ), new thumbnails, new previews, upgraded metadata and storage hosting to arweave. Durable and interoperable.

**Published by:** [Openvoxels](https://paragraph.com/@openvoxels/)
**Published on:** 2024-05-31
**Categories:** gltf, usdz, openvoxels, voxels, interop, arweave, archiving, metadata, wearables, cryptovoxels, ar, vr, 3d
**URL:** https://paragraph.com/@openvoxels/the-wearables-museum

## Content

Quick summary of wearables 2.0:Upgraded file formatsglb with encoded xmp metadata in addition to voxUpgraded to decentralized storageFrom voxels.com to arweave for all assetsUpgraded thumbnailsTransparent gifs, ~9x smaller file size + 50% bigger resolutionUpgraded previewsHTML files hosted on arweave with AR+VR previewsUpgraded metadataUpdated the links, added fields like glb + collection info New thumbnails 50% bigger resolution, 5x smaller filesize, transparent background, still GIF format.The thumbnails for all the wearables have been completely remadeNew previews Different skyboxes to represent the years a wearables collection was minted. Each skybox is a 360 equirectangular picture from a VRChat world that Voxels content was ported into and reflects the era:2019-2020: Black and white era2021: Color emerges, calm before the storm2022: NFT and metaverse hype cycle peaks2023: Desert to represent the winter that followed2024: Half voxels half sea to represent WIP year + islandsView a demo: https://arweave.net/DQzDSe2GFKopqmFOuwdefIWA53dtt6wy-6k609QiMg4Different skyboxes per year the collection was mintedAR + VR Support via glTF and USDZ Every wearable can now be previewed in AR and VR. Tested across android and IOS devices including the Apple Vision Pro.You can view the wearables via Safari on ios and Apple Vision ProNew metadata The NFT metadata for every wearable across every collection in the snapshot has been updated. On the right is a preview of the new metadata with arweave links and new metadata fields such as glb, collection, year, and animation_url for the HTML preview.On the left is the old metadata, on the right is the new metadata with arweave links, glb link, collection metadata, and a link to the HTML previewMission complete!Blockchain Snapshot and StewardshipDate taken: March 12, 2024https://docs.google.com/spreadsheets/d/19Fab72iK5Ks9KeI_ArY79m0wxyL10s45obZr1FGnKKo/edit?usp=sharinghttps://www.voxels.com/collections The Cryptovoxels community has designed over 34,000 unique wearables to 111,557 collectors holding a total of 350,263 NFTs! For sake of comparison, Decentraland has about 6840 unique wearables designs (Dune sources say ~10k) made by ~1587 creators and have about 4531 collectors. Number of Cryptovoxels wearables minted per year:2020: 31382021: 217922022: 86212023: 4382024: 26 (as of snapshot date)PointsEach voxels parcel owned is 1 point = 7,937 Wearbles creator impact (see below) = 11,867 Total = 19804 I asked chatgpt to help me come up with an algorithm for distributing voting power amongst wearables creators:To create a fair distribution of points based on the impact of minted NFTs, considering factors such as the number of NFTs minted, the number of unique tokens, and the number of owners, you can use a weighted scoring system. Here's a suggested algorithm: Normalize the data: Normalize each of the three metrics (Number of NFTs, Unique Tokens, Number of Owners) to a common scale between 0 and 1. You can use min-max normalization for this purpose. Assign weights: Assign weights to each normalized metric based on their importance in determining impact. These weights can be subjective and depend on your specific use case. For example, you may decide that the number of NFTs minted is more important than the number of owners. Calculate scores: Calculate a composite score for each address by multiplying each normalized metric by its corresponding weight and summing them up. Distribute points: Allocate points to each address based on their composite score. You can distribute points proportionally or use a different method based on your preference.We then round the points and add +1 for sake of being a wearables creator. For transparency sake, this is the python code that was used to calculate the results:import pandas as pd from sklearn.preprocessing import MinMaxScaler # Read data from CSV file df = pd.read_csv('creators.csv') # Normalize the data scaler = MinMaxScaler() df[['Number of NFTs', 'Unique Tokens', 'Number of Owners']] = scaler.fit_transform(df[['Number of NFTs', 'Unique Tokens', 'Number of Owners']]) # Define weights weights = { 'Number of NFTs': 0.3, 'Unique Tokens': 0.2, 'Number of Owners': 0.5 } # Calculate composite score df['Composite Score'] = (df['Number of NFTs'] * weights['Number of NFTs']) + (df['Unique Tokens'] * weights['Unique Tokens']) + (df['Number of Owners'] * weights['Number of Owners']) # Distribute points based on composite score total_points = 10000 # Total points to distribute df['Points'] = (df['Composite Score'] / df['Composite Score'].sum()) * total_points # Round the points and convert to integers df['Points'] = df['Points'].round().astype(int) # Add 1 point to each address df['Points'] += 1 # Export results to CSV df[['Minted Address', 'Points']].to_csv('results.csv', index=False) print("Results exported to 'results.csv'.")Snapshot strategies In addition to a standard strategy for who owns a Voxels parcel, we implemented the whitelist weighted strategy that incorporated the points calculated in the steps above for wearables creators to have a strong voice in voting.whitelist weighted { "symbol": "ABC", "addresses": { "0xa478c2975ab1ea89e8196811f51a7b7ade33eb11": 5, "0xeF8305E140ac520225DAf050e2f71d5fBcC543e7": 2 } }Distribution StrategiesWhat is the next step? Here's a couple ideas I got:1. Create a guide for creators to update collections themselvesThe creator of a collection overwrites the existing NFT metadata with the new metadata, thereby upgrading the NFTs everyone already has to the new decentralized versions.This strategy is like overwriting the old NFTs by writing to the contractBenefits:no remint, just update existing contracts1 time transaction vs airdroppingmaintain provenance, collectors already have itunsold copies can find new market value as durable and interoperable wearablesDownsides:Will it break things in voxels.com? Need to testcan still have vox as trait_typecould create a baseURI like https://www.cryptovoxels.com/c/7/{id} with Arweave for linking to the metadataWould still be hard to update all collectionsCould look messy if mix of old + new wearables2. Create a new wearable collection on a L2Similar to a fork. It would not be an upgrade to the Voxels wearables, but rather a new collection to immortalize a SNAPSHOT of all the wearables. This option is like having an on-chain mirror.Left to right = old to new. We can consolidate all the collections to 1 for the snapshot, and a DAO to steward itBenefits:Full upgrade: All wearables 2.0 would look really nice togetherImmortalize the whole snapshot of wearables as a NFT collectionCan airdrop or allow list previous owners to mint or burn redeem?Unsold copies can find new market value as durable and interoperable wearablesUse a splits contract to pay creators from sales?Downsides:It might be confusing when searching for a wearable to see 2 similar results100k+ collectors, many might not know + still expensive to airdropIt turns 800 creator owned collections into 1 collectionPerhaps this can be seen as a good thing for discoverability!3. Create a NFT Avatar CollectionWe mint all costumes as VRM avatar NFTs and create a pool of shared assets to generate into new avatars. The mannequin base mesh can be an OG trait, but we don't have to be limited to it.Old gif of boom tools to represent creating an NFT avatar collection for VoxelsBenefitsBy minting avatars, not wearables, we can reduce some confusionNo duplicate wearables in marketplaceCan broaden the appeal of Voxels to new peopleWe can make the collection look absolutely stunningFeels fun and innovative, like metaverse passports + immigration cardsThis option can potentially pair with another optionCan use splits contract to drive sales to a DAODownsides:There's a lot of wearables, not all of them might make it inWhat would be a fair split?Maybe based on number of factors: wearables contributed, support for openvoxels, etcMight be hard to get permission to use wearables from a bunch of creators?Costume -> VRM Avatar ExportFor sake of posterity, since a whole post could be dedicated to this topic, here is a preview of Voxels costumes to VRM export. VRM avatars from costumes have been made and hand tailored for finishing touches for all Openvoxels supporters. We also exported VRM avatars for all parcel holders. What we do next is TBD :) jin @dankvr Citizens of @cryptovoxels, I've achieved VRM export Takes in a costume JSON, converts the skin to texture, bakes the glTF wearables, and exports a working VRM #screenshotsaturday #blender @openvoxels 115 2:38 AM • Apr 7, 2024 Support OpenvoxelsDonate to our juicebox, get $OPENVOX tokens, which can be used for minting exclusive swag. I think we will also give Openvoxels supporters voting power in our snapshot in the future. After shipping wearables and VRM avatar exports, there’s a few exciting paths we can take on what to focus on next that could use your input!Juicebox | Fund Your ThingJuicebox is the programmable funding platform for crypto and web3. Fund, operate, and scale your project transparently. Community DAO owned, on Ethereum.https://juicebox.moneyLast note: I think we will be doing an art contest for wearables soon, stay tunes and follow Openvoxels on X for more info!

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