Stable Diffusion can create new music by generating spectrograms based on text
Since the early days of AI, scientists have been trying to employ it to generate new and interesting music. The team behind the Riffusion project has found a very original use of AI for image generation in music production. They trained the open Stable Diffusion model on spectrogram images depicting the frequency and amplitude of a sound wave over time, as well as a text description. As a result, the AI can generate new spectrograms based on your text requests, and when you play them, music is played.
Similar to image modification in Stable Diffusion, the method can be used to change existing sound compositions and sample music synthesis. You can also combine different styles, make a smooth transition from one style to another, or modify an existing sound to solve problems like increasing the volume of individual instruments, changing the rhythm, and replacing instruments.
The Stable Diffusion algorithm is already showing a lot of promise for music generation. And, since it is open source and licensed under the MIT license, anyone can use it to create their own music. On the project website, you can listen to samples of generated music.
Listen to these freshly generated music examples by Stable Diffusion:
Read more about music and AI:
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Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
