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| # Copyright (c) Meta Platforms, Inc. and affiliates. | |
| # All rights reserved. | |
| # | |
| # This source code is licensed under the license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| """ | |
| AudioCraft is a general framework for training audio generative models. | |
| At the moment we provide the training code for: | |
| - [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. | |
| """ | |
| # flake8: noqa | |
| from . import data, modules, models | |
| __version__ = '1.1.0' | |