Models trained from VITS-fast-fine-tuning
- Three speakers: laoliang (老梁), specialweek, zhongli.
- 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.
- During training, we use a single long audio of laoliang (~5 minutes) with auxiliary data as training data.
How to run the model?
- Follow the official instruction, install required libraries.
- Download models and move finetune_speaker.json and G_latest.pth to /path/to/ VITS-fast-fine-tuning.
- Run python VC_inference.py --model_dir ./G_latest.pth --share True to start a local gradio inference demo.
File structure
VITS-fast-fine-tuning
├───VC_inference.py
├───...
├───finetune_speaker.json
└───G_latest.pth