How to Build a Music Generator with OpenAI Jukebox

Posted on by Panther

OpenAI Jukebox is a powerful tool that allows you to generate music in a variety of genres and styles. In this tutorial, we will walk through the steps to build a music generator using OpenAI Jukebox. By the end of this tutorial, you will be able to generate your own unique music compositions.

Prerequisites

To follow along with this tutorial, you will need the following:

  • Basic knowledge of Python programming language
  • Installed Python 3.7 or later
  • Basic understanding of neural networks and deep learning concepts

Setup

Let’s first set up the necessary environment to work with OpenAI Jukebox.

  1. Create a new directory on your local machine for this project:
mkdir music-generator
cd music-generator
  1. Create a new virtual environment:
python3 -m venv venv
  1. Activate the virtual environment:
source venv/bin/activate
  1. Install the required dependencies:
pip install jukebox

With the initial setup complete, we can now move on to building our music generator.

Generating Music with OpenAI Jukebox

OpenAI Jukebox uses Deep Learning models to generate music. It has been trained on a large dataset of music from a variety of styles and genres. To generate our own music with OpenAI Jukebox, we will follow these steps:

  1. Load the Model: We’ll start by loading the pre-trained Jukebox model.

  2. Set Music Parameters: We’ll define the parameters of the desired music composition, such as genre, length, and number of samples.

  3. Generate Music: We’ll use the loaded model and the defined parameters to generate the music.

  4. Save the Music: Finally, we’ll save the generated music to a file.

Now, let’s walk through each of these steps in detail.

Step 1: Load the Model

To load the Jukebox model, we’ll use the jukebox package’s load function. This function takes the name of the model as an argument. The model names supported by OpenAI Jukebox are 1b_lyrics, 1b_lyrics_conditional, 2b, and 5b.

For this tutorial, we’ll use the 1b_lyrics model. Add the following code to a new file called music_generator.py:

import jukebox

# Load the Jukebox Model
model = jukebox.load("1b_lyrics")

Step 2: Set Music Parameters

Next, let’s define the parameters for our music composition. We’ll specify the genre, length, and number of samples.

The available genres include: rock, pop, jazz, classical, rap, and more. You can find the complete list of genres in the documentation.

Here’s an example of setting the music parameters in music_generator.py:

# Define the Parameters
genre = "pop"
length = 60  # Length of the composition in seconds
num_samples = 5  # Number of different compositions to generate

# Generate Music with Jukebox
music = model.generate_audio(
    prompt=None,
    genre=genre,
    length=length,
    num_samples=num_samples,
    mode="sampling"
)

Step 3: Generate Music

Now, we can use the loaded model and the defined parameters to generate our music. We’ll use the generate_audio function provided by the Jukebox model, which takes the prompt, genre, length, number of samples, and the mode as input.

The available modes for generation are “priming” and “sampling”. In “priming” mode, we provide an initial prompt, and the model will continue the composition from there. In “sampling” mode, the model generates entirely new compositions.

Here’s how you can generate the music in music_generator.py:

# Generate Music with Jukebox
music = model.generate_audio(
    prompt=None,
    genre=genre,
    length=length,
    num_samples=num_samples,
    mode="sampling"
)

Step 4: Save the Music

Finally, let’s save the generated music to a file. We’ll use the save function from the torchaudio library to save the audio waveform as a WAV file.

Add the following code to music_generator.py to save the music to a file:

import torchaudio

# Save the Music
for i, composition in enumerate(music):
    filename = f"composition_{i}.wav"
    torchaudio.save(filename, composition.float(), sample_rate=44100)
    print(f"Composition saved as {filename}")

Congratulations! You have just created a music generator using OpenAI Jukebox. The generated compositions can be found as WAV files in your project directory.

Running the Music Generator

To run the music generator, execute the following command:

python music_generator.py

This will load the Jukebox model, generate music compositions based on the specified parameters, and save them to WAV files. You can modify the parameters in the code to customize the genre, length, and number of compositions generated.

Feel free to experiment with different genres, lengths, or number of samples to generate your own unique music compositions!

Conclusion

In this tutorial, we have learned how to build a music generator using OpenAI Jukebox. We walked through the steps of loading the model, defining the music parameters, generating the music, and saving it to files. Using OpenAI Jukebox, you can unleash your creativity and generate music in various genres and styles. Happy composing!

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