Google MusicLM is an experimental AI tool that allows users to generate music based on text input. While it is still in the early stages, MusicLM shows great potential in the music industry and can be used to automate various tasks such as writing music scores, recommending chord progressions, and generating new sounds.
Here is a step-by-step guide on how to use Google MusicLM to create generative AI music:
- Access the MusicLM website: Head over to the MusicLM website by Google and click on “Get Started”. You may need to register your interest and join the waitlist, but users are being approved instantly.
- Sign in with your Google account: Once you have access to MusicLM, sign in with your Google account. This will give you immediate access to the tool.
- Enter your text prompt: In the text box provided, enter a description of the music you want to generate. For example, you can input “a calming guitar melody in 6/8 time signature riff”. Be creative and specific with your prompts to get the desired results.
- Generate the music: After entering your text prompt, MusicLM will generate a 20-second music snippet based on your input. The AI model will analyze the text description and create a corresponding musical composition.
- Evaluate and refine: Listen to the generated music and evaluate if it meets your expectations. If you’re not satisfied, you can try refining your text prompt or experimenting with different descriptions to achieve the desired sound.
- Download and share: Once you’re happy with the generated music, you can download the composition. Google MusicLM allows you to choose the track that best interprets your prompt or that you simply prefer. This feedback helps Google train the model for better results in the future.
It’s important to note that Google MusicLM is currently limited to generating 20-second music snippets. However, it provides a glimpse into the potential of AI in music creation and opens up new possibilities for musicians and composers.
While MusicLM is still in the experimental stage and not publicly available, it showcases the advancements in generative AI music and the potential for future developments in the field.