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| """ |
| AudioCraft is a general framework for training audio generative models. |
| At the moment we provide the training code for: |
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| - [MusicGen](https://arxiv.org/abs/2306.05284), a state-of-the-art |
| text-to-music and melody+text autoregressive generative model. |
| For the solver, see `audiocraft.solvers.musicgen.MusicGenSolver`, and for the model, |
| `audiocraft.models.musicgen.MusicGen`. |
| - [AudioGen](https://arxiv.org/abs/2209.15352), a state-of-the-art |
| text-to-general-audio generative model. |
| - [EnCodec](https://arxiv.org/abs/2210.13438), efficient and high fidelity |
| neural audio codec which provides an excellent tokenizer for autoregressive language models. |
| See `audiocraft.solvers.compression.CompressionSolver`, and `audiocraft.models.encodec.EncodecModel`. |
| - [MultiBandDiffusion](TODO), alternative diffusion-based decoder compatible with EnCodec that |
| improves the perceived quality and reduces the artifacts coming from adversarial decoders. |
| """ |
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| from . import data, modules, models |
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| __version__ = '1.1.0' |
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