Imagine a world with no character limits on AI music generation prompts. What would you write to ensure that the composition exactly matches your vision, especially details like what happens at second 55? Writing an extended essay might not be the best approach for everyone. A more optimal method would need to be:
Simple and Intuitive: Easy for anyone to pick up and use without a steep learning curve.
Modular: Components can be swapped in and out without disrupting the whole.
Adaptable: Resilient to minor changes or errors, unlike traditional programming code which can break entirely from a single typo.
Versatile in Input Types: Capable of interpreting a wide array of inputs, from words to emojis, audio files, pictures, and even code snippets.
With these criteria in mind, let's explore a solution that could revolutionize how we communicate complex musical ideas to AI, especially when character limits are not a concern.
The Modular Onion Approach Prototype:
This proposed method functions like building with modular "onions" – adding, modifying, or removing layers upon layers of details as desired. This approach allows for deep customization of every music aspect with clarity and flexibility. Keep in mind you could write as many words as you want in each “component”.
Crafting a Song Example for an instrumental track: ...
First 5 Seconds:
Mood: [melancholy, 🥸] Qualities: [tempo=120, key=C minor] Instruments: [bongo, hi hats] Hi hats layer: [triplet rhythm, legendary spooky vibe🎃] Bongo layer: [low pitch]
Next 1 Minute:
Mood: [happy, 🥂😍] Qualities: [tempo=140, key=C major] Melody layers: [a, b, c] Layer a: [whistle.mp3 converted to violin] Layer b: [sample.mp3] Layer c: [guitar melody of your choice] Instruments: [bongo, hi hats] Hi hats layer: [triplet rhythm, spooky vibe🎃] Bongo layer: [low pitch bongo]
Transition at 5 Seconds:
Description: [psychedelic beat switch]
Code Function Example:
for whole song: if violin is on, use higher pitch hi hats
...
This structured, detailed approach is not just about creating music; it's about redefining the interaction between creators and AI. It encourages precision and creativity, providing a vast playground for experimentation.
Adaptability and Intuition
This system's adaptability to various input methods—be it emojis, audio samples, or traditional language—makes it a robust tool for creative expression. It's built to be intuitive, accommodating easy modifications and iterations based on feedback or creative shifts. Keep in mind this modular approach is not limited to the qualifiers I used. For example, you could replace melody c with a steel drum quite easily.
While this approach is hypothetical, exploring the potential for higher character limits in music prompting opens exciting discussions about the future of AI in the arts. How can AI tools become more intuitive for artists? What new forms of creativity can this unlock?
I'm eager to hear your thoughts, experiments, and ideas on this concept. Let's collaboratively envision the future of music creation!
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