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@@ -5,7 +5,7 @@ language:
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  ---
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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 based on the C+J base model and is trained on a single NVIDIA 3090 with 300 epochs. It takes about 4.5 hours in total.
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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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  ---
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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 based on the C+J base model and trained on a single NVIDIA 3090 with 300 epochs. It takes about 4.5 hours in total.
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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.