How to Clone Your Voice for Free Using OpenAudio S1 Mini Model on AWS GPU Cloud

Clone Your Voice Using OpenAudio's S1 Mini Model on a GPU Cloud You may have already read about the remarkable capabilities of OpenAudio's S1 mini model in my previous article. If not, I encourage you to review it through the provided link. Now, it's time to delve into the practical implementation. This guide will walk you through the process of setting up OpenAudio S1 on an AWS GPU instance to clone your voice. Before you start, ensure you have access to the model. If you don’t, request it using the following link: https://huggingface.co/fishaudio/openaudio-s1-mini Let’s begin with the setup. Step 1: AWS EC2 Instance Setup First, we need to create our cloud environment. For this project, we’ll use a g5.xlarge instance, which offers 24GB of VRAM, ensuring optimal performance. Instance Configuration Log into AWS Console: Open your web browser and navigate to the AWS Management Console. Sign in with your credentials. Navigate to EC2: On the AWS dashboard, find and click on "EC2" under the "Compute" section. Launch an Instance: Click on "Launch Instance" to start the creation process. Choose an AMI: Select an Amazon Machine Image (AMI) that supports deep learning, such as the Deep Learning AMI (Ubuntu 20.04). Select Instance Type: Choose the g5.xlarge instance type. This instance is equipped with a single NVIDIA A10G GPU, providing ample VRAM for running the OpenAudio S1 mini model. Configure Instance: Configure the instance according to your preferences. Set the number of instances to 1, and choose an appropriate key pair for secure access. Storage: Ensure that the root volume has enough storage space for the model files and any additional data you might need. Network Settings: Choose a subnet within your VPC and set up a security group to allow SSH access on port 22. Review and Launch: Review all the settings to confirm they are correct, then click "Launch." Once your instance is up and running, you can proceed to the next steps. Step 2: Connect to Your EC2 Instance Open Terminal: Open your terminal or command prompt. Connect via SSH: Use the following command to connect to your instance: ssh -i /path/to/your-key.pem ubuntu@your-instance-public-dns Step 3: Install Dependencies Update and Upgrade: Start by updating and upgrading your system: sudo apt-get update && sudo apt-get upgrade -y Install Python and Git: Ensure that Python and Git are installed: sudo apt-get install python3.8 python3.8-venv git -y Create a Python Virtual Environment: Create a virtual environment to manage dependencies: python3.8 -m venv openaudio-env source openaudio-env/bin/activate Install Required Libraries: Install the necessary Python libraries: pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/cu113/torch_stable.html pip install transformers datasets Step 4: Clone the OpenAudio S1 Mini Repository Clone the Repository: Use Git to clone the repository containing the S1 mini model: git clone https://github.com/fish-audio/s1-mini.git cd s1-mini Step 5: Download the Model Weights Download Model: Download the model weights from Hugging Face: wget https://huggingface.co/fishaudio/openaudio-s1-mini/resolve/main/model.pth Step 6: Prepare Your Audio Data Upload Audio Files: Upload your audio files to the instance. You can use the AWS Management Console or the command line to transfer files: scp -i /path/to/your-key.pem /path/to/local/audio/file.wav ubuntu@your-instance-public-dns:/path/on/instance/ Organize Data: Place your audio files in the appropriate directory within the s1-mini project structure. Step 7: Run the Voice Cloning Script Run the Script: Navigate to the directory containing the voice cloning script and run it: cd /path/to/s1-mini python clone_voice.py --input_path /path/to/your/audio/files --output_path /path/to/output/directory Monitor Output: The script will process your audio files and generate the cloned voice in the specified output directory. Conclusion By following these steps, you can effectively clone your voice using OpenAudio's S1 mini model on an AWS GPU instance. This local setup ensures you have control over your data and the processing environment. With the growing interest in voice cloning and AI-driven audio technology, this guide should help you get started on experimenting and building your own projects. Happy coding!