Creating 10k NFT’s using just 10 Artworks
summary
Claims a method to produce 10k (and far more) NFTs from ten base artworks by splitting images into layers and combining attribute variants; uses Unity and C# to randomly compose layers, compute combinations (product of variant counts) and export images plus metadata JSON. Demonstrates a live generator with Next / C / P controls that created four sample images and a JSON file, explains a de-duplication check, and shows how to upload image + metadata to marketplaces; math example yields 100 million combinations from ten variants across eight attributes.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 8:05Mathematics behind 100 million NFTs
- 9:07Unity NFT demo
- 13:49Uploading NFTs with metadata
- 14:32NFT generation code
- 17:35NFT use cases
- 20:00NFT investment tips
- 21:05Q&A
related talks
16mExploring Generative Art in Ethereum
28mGenerating Art Everywhere And Fast!
30mInteractive Artistic Thinking in the Blockchain Space
27mCreating Immersive Generative Art with Go
46mCreating daily art with code
26mReimagining Art, Ownership and Legacy
28mCreating generative art with Javascript
36mArt in the Age of Algorithms
