Case Study - Procedural NFT art generation engine
Tool for creating unique NFT collections by combining image layers with configurable rarity system.
- Client
- NFT Art Generator
- Year
- Service
- Tool development
Overview
Generating NFT collections requires creating thousands of unique images combining different attributes. This manual process would be impossible, so an engine is needed that automates layer combination while respecting rarity rules.
The generator takes ordered layer folders (background, body, eyes, accessories, etc.) and combines them procedurally, ensuring each result is unique through SHA1 DNA validation.
What we did
- Node.js
- Canvas API
- SHA1
- JSON Metadata
- GIF Export
- NFTs in minutes
- 10,000+
- Unique pieces
- 100%
- Duplicates guaranteed
- 0
- Mint metadata
- Ready
Rarity system
Each element within a layer has a weight that determines its probability of appearing. The element#weight.png naming convention allows configuring rarity without touching code. Elements with higher weight appear more frequently.
The system validates uniqueness by comparing each generated NFT's DNA (attribute hash) against previous ones, regenerating if duplicates are found.
Metadata and utilities
JSON metadata follows the NFT standard with trait_type and value for each attribute. Additional scripts allow analyzing rarity distribution, generating mosaic previews, converting to pixel art, and exporting GIF animations.