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update README
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README.md
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README.md
@ -53,7 +53,7 @@ _Note: numba==0.56.4 requires py<3.11_
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If you are a Windows user (tested with win>=10), you can [download the integrated package](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true) and double-click on _go-webui.bat_ to start GPT-SoVITS-WebUI.
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If you are a Windows user (tested with win>=10), you can [download the integrated package](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true) and double-click on _go-webui.bat_ to start GPT-SoVITS-WebUI.
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Users in China can [download the package here](https://hf-mirror.com/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true).
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**Users in China can [download the package here](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#KTvnO).**
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### Linux
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### Linux
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@ -141,6 +141,8 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
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## Pretrained Models
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## Pretrained Models
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**Users in China can [download all these models here](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#nVNhX).**
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1. Download pretrained models from [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) and place them in `GPT_SoVITS/pretrained_models`.
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1. Download pretrained models from [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) and place them in `GPT_SoVITS/pretrained_models`.
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2. Download G2PW models from [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip), unzip and rename to `G2PWModel`, and then place them in `GPT_SoVITS/text`.(Chinese TTS Only)
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2. Download G2PW models from [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip), unzip and rename to `G2PWModel`, and then place them in `GPT_SoVITS/text`.(Chinese TTS Only)
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@ -151,18 +153,6 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
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5. For English or Japanese ASR (additionally), download models from [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) and place them in `tools/asr/models`. Also, [other models](https://huggingface.co/Systran) may have the similar effect with smaller disk footprint.
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5. For English or Japanese ASR (additionally), download models from [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) and place them in `tools/asr/models`. Also, [other models](https://huggingface.co/Systran) may have the similar effect with smaller disk footprint.
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Users in China can download all these models using the links below:
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- [GPT-SoVITS Models](https://hf-mirror.com/lj1995/GPT-SoVITS)
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- [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip)
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- [UVR5 Weights](https://hf-mirror.com/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights)
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- [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files), and [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files)
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- [Faster Whisper Large V3](https://hf-mirror.com/Systran/faster-whisper-large-v3) or [other models](https://hf-mirror.com/Systran)
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## Dataset Format
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## Dataset Format
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The TTS annotation .list file format:
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The TTS annotation .list file format:
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@ -38,7 +38,7 @@ https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-
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## 安装
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## 安装
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中国地区用户可[点击此处](https://www.codewithgpu.com/i/RVC-Boss/GPT-SoVITS/GPT-SoVITS-Official)使用 AutoDL 云端镜像进行体验。
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中国地区的用户可[点击此处](https://www.codewithgpu.com/i/RVC-Boss/GPT-SoVITS/GPT-SoVITS-Official)使用 AutoDL 云端镜像进行体验。
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### 测试通过的环境
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### 测试通过的环境
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@ -53,7 +53,7 @@ _注: numba==0.56.4 需要 python<3.11_
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如果你是 Windows 用户(已在 win>=10 上测试),可以下载[下载整合包](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true),解压后双击 go-webui.bat 即可启动 GPT-SoVITS-WebUI。
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如果你是 Windows 用户(已在 win>=10 上测试),可以下载[下载整合包](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true),解压后双击 go-webui.bat 即可启动 GPT-SoVITS-WebUI。
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中国地区用户可以[在此处下载整合包](https://hf-mirror.com/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true).
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**中国地区的用户可以[在此处下载整合包](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#KTvnO)。**
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### Linux
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### Linux
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@ -141,6 +141,8 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
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## 预训练模型
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## 预训练模型
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**中国地区的用户可以[在此处下载这些模型](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#nVNhX)。**
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1. 从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型,并将其放置在 `GPT_SoVITS/pretrained_models` 目录中。
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1. 从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型,并将其放置在 `GPT_SoVITS/pretrained_models` 目录中。
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2. 从 [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip) 下载模型,解压并重命名为 `G2PWModel`,然后将其放置在 `GPT_SoVITS/text` 目录中。(仅限中文TTS)
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2. 从 [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip) 下载模型,解压并重命名为 `G2PWModel`,然后将其放置在 `GPT_SoVITS/text` 目录中。(仅限中文TTS)
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@ -151,18 +153,6 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
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5. 对于英语或日语 ASR(额外功能),从 [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) 下载模型,并将其放置在 `tools/asr/models` 目录中。此外,[其他模型](https://huggingface.co/Systran) 可能具有类似效果且占用更少的磁盘空间。
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5. 对于英语或日语 ASR(额外功能),从 [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) 下载模型,并将其放置在 `tools/asr/models` 目录中。此外,[其他模型](https://huggingface.co/Systran) 可能具有类似效果且占用更少的磁盘空间。
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中国地区用户可以通过以下链接下载这些模型:
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- [GPT-SoVITS Models](https://hf-mirror.com/lj1995/GPT-SoVITS)
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- [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip)
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- [UVR5 Weights](https://hf-mirror.com/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights)
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- [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files)、[Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files) 和 [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files)
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- [Faster Whisper Large V3](https://hf-mirror.com/Systran/faster-whisper-large-v3) 或 [其他模型](https://hf-mirror.com/Systran)
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## 数据集格式
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## 数据集格式
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文本到语音(TTS)注释 .list 文件格式:
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文本到语音(TTS)注释 .list 文件格式:
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