- npm: to build docker
- hugging face account: download pretrained model
- docker: to run web-ui
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Download pretrained all models from here and copy them to docker_trainer/pretrained. 
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Download pretrained_v2 all models from here and copy them to docker_trainer/pretrained_v2. 
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Download hubert_base.pt from here. Copy it to docker_trainer/hubert. 
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Run npm run build:docker:trainer
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Put training data into trainer/raw-data 
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Launch docker image bash start_trainer.sh
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In docker container, run cp -r logs_org/mute logs/
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In docker container, run python infer-web.py
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Access the web-ui by the browser. Open tab for training. - http://<address>:7865/
 
- http://
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Enter the speaker's name. Foler name includes the training data is /rvc/raw-data.
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Run the training as usual. 
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The weights is in trainer/weights. .indexis in trainer/logs//
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Run with VC_Client! 
Select v2 like as the below image.
