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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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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 (θζ’), 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 |
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ββββVC_inference.py |
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ββββ... |
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ββββfinetune_speaker.json |
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ββββG_latest.pth |
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``` |