Harmonai is an open-source project by Stability AI providing generative audio models and tools for custom neural sound synthesis and training.
What it is
Harmonai is an open-source research lab supported by Stability AI that focuses on building generative audio models. It provides musicians, developers, and researchers with specialized toolkits to train custom machine learning models on arbitrary audio samples for music production and neural audio synthesis.
Key features
- Train generative models on arbitrary audio samples
- Utilize open soundstream-style VAE codecs for neural audio synthesis
- Implement audio generation via diffusion models in PyTorch
- Access open-source sample generators using Jupyter Notebooks
- Experiment with custom audio training loops without text-to-audio constraints
Who it's for
- Musicians interested in training custom neural audio models
- Audio engineers exploring machine learning for sound design
- Developers building generative audio pipelines in Python
Pricing
Check the official website for current pricing.
Use cases
- Train generative models on audio samples
- Synthesize neural audio with VAE codecs
- Generate audio using diffusion models
FAQ
Is Harmonai text-to-audio?
No, Harmonai is not a text-to-audio generator and requires training models on audio samples to obtain outputs.
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