Stable Audio Open

Stable Audio Open is an open-source model optimized for generating short audio samples, sound effects, and production elements using text prompts. It is designed for quick, high-quality audio generation suitable for music production and sound design.

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What is Stable Audio Open?

• An open-source text-to-audio model that can generate up to 47 seconds of audio from a simple text prompt.
• Specialized training focused on short sounds, drum beats, instrument riffs, ambient sounds, and Foley-style effects.
• Free to use with the ability to fine-tune using your own data.
• Available on Hugging Face and can be deployed locally.

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Key Features

• Open-source model with permissive use for personal and commercial projects
• Generates up to 47 seconds of audio per run
• Specialized training for high-quality, diverse short audio clips
• Customizable: fine-tune with your own data to tailor outputs
• Simple setup and local deployment (no cloud dependency required)
• Access to community support and documentation via Hugging Face and Discord

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How to Use Stable Audio Open

1. Download the model from Hugging Face: git clone https://huggingface.co/stabilityai/stable-audio-open-1.0
2. Install dependencies: pip install torch torchaudio stable_audio_tools einops
3. Import required libraries and load the model
4. Generate audio by calling the diffusion-based generation with your conditioning
5. Post-process and save the output as an audio file (e.g., output.wav)

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FAQs

• What is Stable Audio Open? An open-source text-to-audio model that generates up to 47 seconds of high-quality audio from text prompts.
• How does it differ from the commercial version? Stable Audio Open focuses on short clips; the commercial version can create longer tracks up to three minutes.
• Can I customize the model? Yes, you can fine-tune Stable Audio Open with your own audio data.
• What types of audio can I create? Drum beats, instrument riffs, ambient sounds, Foley sounds, and other production elements.
• Is it free to use? Yes, it is completely free and open-source.
• Where can I download the model? From Hugging Face.
• Is there community support? Yes, via Discord and the Hugging Face community.
• Can I use it for commercial purposes? Yes, as an open-source model, it can be used for personal and commercial projects.
• What are the system requirements? Any system supporting PyTorch with adequate CPU/GPU resources.
• How can I integrate it into an application? Use the provided API and libraries to call the model from your code.

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Output

The model outputs audio data which you should post-process (normalize, convert to int16) and save as a WAV file.

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License

Open-source license (as provided by the project on Hugging Face).

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