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wataru 2023-05-21 04:20:49 +09:00
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36
README_dev_en.md
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@ -38,45 +38,27 @@ git clone https://github.com/yxlllc/DDSP-SVC.git DDSP-SVC
git clone https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI.git RVC git clone https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI.git RVC
``` ```
2. Copy weights 2. Install requirements
copy weights of emmbedding or vocoder. These file path can be set as parameter when invoke server.
(1) hubert_base.pt
download from [here](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main)
(2) content vec
download ContentVec_legacy_500 from [here](https://github.com/auspicious3000/contentvec)
(3) hubert_soft
download from [here](https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt)
(4) vocorder
download nsf_hifigan_20221211.zip from [here](https://github.com/openvpi/vocoders/releases/tag/nsf-hifigan-v1) and expand it.
3. Install requirements
``` ```
$ pip install -r requirements.txt $ pip install -r requirements.txt
``` ```
4. Run server 3. Run server
Run server with the below command. You can replace the path to each weight. Run server with the below command. You can replace the path to each weight.
``` ```
$ python3 MMVCServerSIO.py -p 18888 --https true \ $ python3 MMVCServerSIO.py -p 18888 --https true \
--content_vec_500 weights/checkpoint_best_legacy_500.pt \ --content_vec_500 pretrain/checkpoint_best_legacy_500.pt \
--hubert_base weights/hubert_base.pt \ --hubert_base pretrain/hubert_base.pt \
--hubert_soft weights/hubert-soft-0d54a1f4.pt \ --hubert_soft pretrain/hubert/hubert-soft-0d54a1f4.pt \
--nsf_hifigan weights/nsf_hifigan/model --nsf_hifigan pretrain/nsf_hifigan/model \
--hubert_base_jp pretrain/rinna_hubert_base_jp.pt \
--model_dir models
``` ```
5. Enjoy developing. 4. Enjoy developing.
## For Client Developer ## For Client Developer

36
README_dev_ja.md
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@ -38,45 +38,27 @@ git clone https://github.com/yxlllc/DDSP-SVC.git DDSP-SVC
git clone https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI.git RVC git clone https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI.git RVC
``` ```
2. 外部のモデルの重みを配置する 2. モジュールをインストールする
エンコーダやボコーダなどの外部のモデルの重みを入手して配置する。
(1) hubert_base.pt
download from [here](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main)
(2) content vec
download ContentVec_legacy_500 from [here](https://github.com/auspicious3000/contentvec)
(3) hubert_soft
download from [here](https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt)
(4) vocorder
download nsf_hifigan_20221211.zip from [here](https://github.com/openvpi/vocoders/releases/tag/nsf-hifigan-v1) and expand it.
3. モジュールをインストールする
``` ```
$ pip install -r requirements.txt $ pip install -r requirements.txt
``` ```
4. サーバを起動する 3. サーバを起動する
次のコマンドで起動します。各種重みについてのパスは環境に合わせて変えてください。 次のコマンドで起動します。各種重みについてのパスは環境に合わせて変えてください。
``` ```
$ python3 MMVCServerSIO.py -p 18888 --https true \ $ python3 MMVCServerSIO.py -p 18888 --https true \
--content_vec_500 weights/checkpoint_best_legacy_500.pt \ --content_vec_500 pretrain/checkpoint_best_legacy_500.pt \
--hubert_base weights/hubert_base.pt \ --hubert_base pretrain/hubert_base.pt \
--hubert_soft weights/hubert-soft-0d54a1f4.pt \ --hubert_soft pretrain/hubert/hubert-soft-0d54a1f4.pt \
--nsf_hifigan weights/nsf_hifigan/model --nsf_hifigan pretrain/nsf_hifigan/model \
--hubert_base_jp pretrain/rinna_hubert_base_jp.pt \
--model_dir models
``` ```
1. 開発しましょう 4. 開発しましょう
## クライアント開発者向け ## クライアント開発者向け