Key Innovations
Last updated
Last updated
The MM/FMM project introduces a novel and scalable framework for creating cohesive, large-scale generative NFT series tied to real-world events - specific moments in (football) history. The framework combines artistic and technical innovation to produce unique digital art pieces that are both original and interconnected as part of a larger series.
The Method of Complete Individualization of Large Series is an original concept that allows for the automatic generation of unique NFT artworks from large datasets. Each artwork is distinct, representing one specific minute of a football match, while remaining part of a cohesive collection. The method ensures that no two NFTs are identical, yet they all adhere to the same underlying artistic and conceptual framework.
At the core of this framework is the q-painting, a structured, variable artwork designed to respond to input data. The q-painting acts as a foundation for all NFTs in a series, dynamically responding to specific data to generate individualized outputs. This ensures that each NFT reflects the unique attributes of the event it represents. It is a flexible and scalable artistic framework that ensures visual coherence while enabling infinite creative variation.
The assembler program is a custom-built system that automates the integration of event data and the q-painting. It automates the process of generating individual NFT artworks based on predefined parameters, ensuring both accuracy and scalability.
The project’s versatility extends beyond football, opening opportunities for personalized generative art tied to other milestones, historical events, or cultural moments. It can scale to represent other types of events by using different datasets. The system’s modular structure - combining the q-painting and assembler program - ensures its ability to expand into other domains without significant reconfiguration.
