mirror of
https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-04 09:29:25 +08:00
12
README.md
12
README.md
@@ -58,7 +58,7 @@
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- Clone the repo
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``` sh
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git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git
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# If you failed to clone submodule due to network failures, please run following command until success
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# If you failed to clone the submodule due to network failures, please run the following command until success
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cd CosyVoice
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git submodule update --init --recursive
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```
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@@ -69,7 +69,7 @@
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``` sh
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conda create -n cosyvoice -y python=3.10
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conda activate cosyvoice
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# pynini is required by WeTextProcessing, use conda to install it as it can be executed on all platform.
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# pynini is required by WeTextProcessing, use conda to install it as it can be executed on all platforms.
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conda install -y -c conda-forge pynini==2.1.5
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pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com
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@@ -104,7 +104,7 @@ git clone https://www.modelscope.cn/iic/CosyVoice-300M-Instruct.git pretrained_m
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git clone https://www.modelscope.cn/iic/CosyVoice-ttsfrd.git pretrained_models/CosyVoice-ttsfrd
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```
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Optionally, you can unzip `ttsfrd` resouce and install `ttsfrd` package for better text normalization performance.
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Optionally, you can unzip `ttsfrd` resource and install `ttsfrd` package for better text normalization performance.
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Notice that this step is not necessary. If you do not install `ttsfrd` package, we will use WeTextProcessing by default.
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@@ -118,7 +118,7 @@ pip install ttsfrd-0.4.2-cp310-cp310-linux_x86_64.whl
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### Basic Usage
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We strongly recommend using `CosyVoice2-0.5B` for better performance.
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Follow code below for detailed usage of each model.
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Follow the code below for detailed usage of each model.
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``` python
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import sys
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@@ -218,12 +218,12 @@ python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M
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#### Advanced Usage
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For advanced user, we have provided train and inference scripts in `examples/libritts/cosyvoice/run.sh`.
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For advanced users, we have provided training and inference scripts in `examples/libritts/cosyvoice/run.sh`.
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#### Build for deployment
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Optionally, if you want service deployment,
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you can run following steps.
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You can run the following steps.
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``` sh
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cd runtime/python
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