What is Audiocraft?
On June 9, 2023, Meta announced the launch of Audiocraft, an innovative AI tool that specializes in music generation and audio processing, powered by advanced deep learning technology. Unlike Google's MusicLM, Audiocraft stands out as an open-source platform, giving users the flexibility to explore and create without constraints.
Prerequisites for Installation
- Python 3.9 or later
- pip package manager
- PyTorch 2.0
- ffmpeg
Before installing PyTorch, you can use the following command in your terminal:
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
To install ffmpeg, run the command:
brew install ffmpeg
Installation of Audiocraft
To get started with Audiocraft, clone the GitHub repository and navigate to the downloaded folder:
git clone https://github.com/facebookresearch/audiocraft.git
After that, install the required libraries by running:
pip install -r requirements.txt
With the installation complete, you are ready to start creating music!
Creating Music with Audiocraft
To utilize MusicGen, the specific module for music creation, Meta offers a user-friendly Gradio UI. Launch it by entering the following command:
python app.py
This will start the UI at http://127.0.0.1:7860/, where you can interact with the application and even generate a public URL for collaboration.
Choosing Your Model
Audiocraft allows you to select from four different models, which significantly influences the music output:
- facebook/musicgen-melody: Generates music with melodies based on an uploaded music file.
- Others: Produce more ambient music using text inputs only.
As you begin experimenting, expect the initial setup to take more time, especially if you're lacking a powerful GPU.
Understanding Duration Limits
The default maximum song duration is capped at 120 seconds. However, you can modify this value to create longer pieces. Open the musicgen_app.py
file in the demos
folder and locate the duration
variable (typically around line 240). Modify it to your desired length, save, and restart the program to implement the change.
Generating a full-length song (e.g., 3:20 minutes) on a machine with 16GB RAM may take significant time, so patience is key.
Integrating Audiocraft into Your Project
Now, let’s explore how to integrate Audiocraft into an existing codebase. Here’s a simple approach to create an app that generates music based on a song description derived from a URL.
Step-by-Step Guide
- Create a new folder named
audiocraft_app
. - Within this folder, create a file called
audiocraft_app.py
and arequirements.txt
file. - Fill the requirements.txt file with necessary libraries.
- Install the required libraries by running:
- Write the necessary code in the
audiocraft_app.py
file.
pip install -r requirements.txt
Run the app with:
streamlit run audiocraft_app.py
Your app should be accessible at http://localhost:8501/. Insert your OpenAI API Key, select the appropriate ChatGPT model based on the content length, and provide the URL.
Conclusion
Audiocraft represents an exciting frontier in AI-powered music generation. Its flexibility and open-source nature offer countless possibilities for musicians and developers. As you dive into creating with Audiocraft, don’t forget to share your musical masterpieces!
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