facebookresearch--audiocraft
Jade Clara Copet
27 行
1.2 KiB
Python
27 行
1.2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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"""
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AudioCraft is a general framework for training audio generative models.
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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
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text-to-music and melody+text autoregressive generative model.
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For the solver, see `audiocraft.solvers.musicgen.MusicGenSolver`, and for the model,
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`audiocraft.models.musicgen.MusicGen`.
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- [AudioGen](https://arxiv.org/abs/2209.15352), a state-of-the-art
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text-to-general-audio generative model.
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- [EnCodec](https://arxiv.org/abs/2210.13438), efficient and high fidelity
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neural audio codec which provides an excellent tokenizer for autoregressive language models.
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See `audiocraft.solvers.compression.CompressionSolver`, and `audiocraft.models.encodec.EncodecModel`.
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- [MultiBandDiffusion](TODO), alternative diffusion-based decoder compatible with EnCodec that
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improves the perceived quality and reduces the artifacts coming from adversarial decoders.
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"""
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# flake8: noqa
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from . import data, modules, models
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__version__ = '1.0.0'
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