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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
```
2. Copy weights
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
2. Install requirements
```
$ 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.
```
$ python3 MMVCServerSIO.py -p 18888 --https true \
--content_vec_500 weights/checkpoint_best_legacy_500.pt \
--hubert_base weights/hubert_base.pt \
--hubert_soft weights/hubert-soft-0d54a1f4.pt \
--nsf_hifigan weights/nsf_hifigan/model
--content_vec_500 pretrain/checkpoint_best_legacy_500.pt \
--hubert_base pretrain/hubert_base.pt \
--hubert_soft pretrain/hubert/hubert-soft-0d54a1f4.pt \
--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

36
README_dev_ja.md
View File

@ -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
```
2. 外部のモデルの重みを配置する
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
2. モジュールをインストールする
```
$ 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。
```
$ python3 MMVCServerSIO.py -p 18888 --https true \
--content_vec_500 weights/checkpoint_best_legacy_500.pt \
--hubert_base weights/hubert_base.pt \
--hubert_soft weights/hubert-soft-0d54a1f4.pt \
--nsf_hifigan weights/nsf_hifigan/model
--content_vec_500 pretrain/checkpoint_best_legacy_500.pt \
--hubert_base pretrain/hubert_base.pt \
--hubert_soft pretrain/hubert/hubert-soft-0d54a1f4.pt \
--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