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@@ -6,9 +6,10 @@ language:
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  Models trained from [VITS-fast-fine-tuning](https://github.com/Plachtaa/VITS-fast-fine-tuning)
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  - Three speakers: laoliang (老梁), specialweek, zhongli.
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  - The model is trained on the C+J base model with 500 epochs.
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- - Following the official instruction, we use a single long audio of laoliang (~5 minutes) with auxiliary data as training data.
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  - After downloading models, you need to move finetune_speaker.json and G_latest.pth to _/path/to/ VITS-fast-fine-tuning_.
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- - Finally, you can run your local gradio application via _python VC_inference.py --model_dir ./G_latest.pth --share True_
 
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  ```bash
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  VITS-fast-fine-tuning
 
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  Models trained from [VITS-fast-fine-tuning](https://github.com/Plachtaa/VITS-fast-fine-tuning)
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  - Three speakers: laoliang (老梁), specialweek, zhongli.
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  - The model is trained on the C+J base model with 500 epochs.
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+ - During training, we use a single long audio of laoliang (~5 minutes) with auxiliary data as training data.
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  - After downloading models, you need to move finetune_speaker.json and G_latest.pth to _/path/to/ VITS-fast-fine-tuning_.
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+ - Following [the official instruction](https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/LOCAL.md), install required libraries.
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+ - On inference, you can run your local gradio application via _python VC_inference.py --model_dir ./G_latest.pth --share True_
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  ```bash
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  VITS-fast-fine-tuning