Dynamic Generative art

Music Nfts Without the Music


Non-Fungible Tokens (NFTs) are digital assets that represent ownership of unique virtual items or collectibles. NFTs have recently gained a lot of popularity, especially in the art world. Generative art is a form of digital art that is created through algorithms and code rather than human intervention. In this white paper, we propose the creation of a generative art NFT that dynamically changes based on different play milestones of a specific music track on different music platforms.  This will also allow us an avenue to represent OnChain royalties, and allow for more transparency with DAO holders.


Generative art is a type of digital art that is created through the use of algorithms, code, and computer software. This type of art is often referred to as algorithmic art or computer-generated art. Generative art is created by the artist writing code that generates unique variations of the art piece. These variations can be created through a set of rules that the artist has established, and they can be adjusted by the artist to create unique and complex variations.

NFTs have gained a lot of popularity in the art world, especially in the world of digital art. NFTs allow artists to sell their digital art as unique and one-of-a-kind items. This allows digital artists to earn revenue from their work in the same way that traditional artists can earn revenue from their physical artwork.


We propose the creation of a generative art NFT that dynamically changes based on different play milestones of a specific music track on different music platforms. The idea is to create a piece of generative art that is connected to a specific music track, and as the music plays on different platforms, the art piece will change dynamically in real-time. This would create a unique and immersive experience for the viewer, as they watch the art piece change and evolve in real-time.

There are several forms of generative art that could be used to create this NFT. One form of generative art that could be used is fractal art. Fractal art is created through the use of mathematical formulas and equations. These formulas and equations create complex and intricate patterns that are unique and beautiful. Fractal art is often used in generative art because it is easy to create variations of the art piece through the adjustment of the formulas and equations.

Another form of generative art that could be used is procedural art. Procedural art is created through a set of rules and procedures that are established by the artist. These rules and procedures dictate how the art piece is created and how it will change over time. Procedural art is often used in generative art because it allows for a high degree of control over the final product.


The generative art NFT would be created through the use of a software program that would be specifically designed for this purpose. The software program would be programmed to connect to different music platforms and listen for play milestones of the specific music track. When a play milestone is reached, the software program would generate a new variation of the generative art piece in real-time. This new variation would be unique and would represent the specific play milestone that was reached. An example of implementation strategy:

  1. Choose a generative art technique: First, choose a generative art technique that can be used to create dynamic visuals. Some examples include particle systems, cellular automata, neural networks, audio-reactive visualizations, and genetic algorithms.

  2. Set up a platform for creating the art: Depending on the chosen generative art technique, there may be different platforms or software that are best suited for creating the art. For example, Processing is a popular platform for creating generative art using Java, while Python can be used with libraries like TensorFlow to create neural networks.

  3. Implement the dynamic changes: Next, implement the functionality that will allow the NFT to change dynamically based on specific music track milestones. This could be done using an audio analysis library to detect when certain beats or sections of the music are playing, and then modifying the parameters of the generative art accordingly.

  4. Create the NFT: Once the generative art is complete and the dynamic changes have been implemented, create the NFT. This involves minting a unique token on a blockchain platform such as Ethereum and attaching the generative art to the token. This will ensure that the NFT is unique and cannot be duplicated.

  5. Set up a smart contract for the NFT: A smart contract is a self-executing contract that runs on the blockchain platform and defines the rules and regulations for the NFT. It can be used to automate the sale, transfer, and ownership of the NFT, as well as to enforce any restrictions or requirements for the NFT.

  6. Sell or auction the NFT: Finally, the NFT can be sold or auctioned off on a marketplace that specializes in NFTs. This could include platforms like OpenSea, Nifty Gateway, or SuperRare. The unique and dynamic nature of the generative art NFT, combined with its ties to specific music track milestones, could make it a valuable and sought-after asset for collectors and fans alike.

Overall, the implementation of a generative art NFT that changes dynamically based on specific music track milestones requires a combination of technical skills, creative vision, and knowledge of the blockchain and NFT ecosystems. By using the right tools and techniques, it is possible to create a unique and valuable asset that bridges the worlds of art, music, and technology.

Ideas for types of generative art

  1. Particle systems: This technique involves creating particles that interact with each other based on certain rules, resulting in complex and dynamic visuals. Particle systems can be used to create anything from realistic simulations of smoke or fire to abstract and colorful displays.

  2. Cellular automata: This technique involves dividing a space into cells and applying rules to each cell based on its neighbors. This can create complex and organic patterns that evolve over time.

  3. Neural networks: This technique involves training a neural network on a dataset of images or other visual media, and then using the network to generate new images. The results can be unpredictable and unique, making it a great tool for creating generative art.

  4. Audio-reactive visualizations: This technique involves creating visualizations that respond to audio input in real-time. This can be done by analyzing the audio and using that data to modify the visuals in various ways.

  5. Genetic algorithms: This technique involves creating a population of candidate solutions and evolving them over time through natural selection and mutation. This can be used to generate unique and complex patterns and shapes.

Payment distribution:

15% to Dao Token holders

70% to dao treasury for marketing and operations

15% to artists on the track the dynamic art is connected to


In conclusion, the creation of a generative art NFT that dynamically changes based on different play milestones of a specific music track on different music platforms would create a unique and immersive experience for the viewer. This type of NFT would be a perfect fit for the world of digital art and would allow artists to create unique and one-of-a-kind digital art pieces that are connected to specific music tracks. As well as proving a transparent on chain revenue source to allow the dao to continue to grow, as well as provide more trust.

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