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Overview
🔊 Text-Prompted Generative Audio Model
Capability facts
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
*‼️ CAUTION ‼️ Do NOT use `pip install bark`. It installs a different package, which is not managed by Suno.*Source link
Tags
README
💻 Installation
‼️ CAUTION ‼️ Do NOT use pip install bark. It installs a different package, which is not managed by Suno.
pip install git+https://github.com/suno-ai/bark.git
or
git clone https://github.com/suno-ai/bark
cd bark && pip install .
🛠️ Hardware and Inference Speed
Bark has been tested and works on both CPU and GPU (pytorch 2.0+, CUDA 11.7 and CUDA 12.0).
On enterprise GPUs and PyTorch nightly, Bark can generate audio in roughly real-time. On older GPUs, default colab, or CPU, inference time might be significantly slower. For older GPUs or CPU you might want to consider using smaller models. Details can be found in out tutorial sections here.
The full version of Bark requires around 12GB of VRAM to hold everything on GPU at the same time.
To use a smaller version of the models, which should fit into 8GB VRAM, set the environment flag SUNO_USE_SMALL_MODELS=True.
If you don't have hardware available or if you want to play with bigger versions of our models, you can also sign up for early access to our model playground here.
© License
Bark is licensed under the MIT License.