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--- |
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license: mit |
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language: |
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- en |
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base_model: |
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- coqui/XTTS-v1 |
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--- |
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# Fine-Tuned Xtts Model |
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This project fine-tunes a TTS (Text-to-Speech) model using an mp3 file extracted from a YouTube video. The training was conducted on a Hugging Face Space running locally via Docker. A GPU is recommended for faster training. |
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### Training Data |
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- **Source Video**: [YouTube Video](https://www.youtube.com/watch?v=u6J20_Aem3Y) |
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- **Training Audio**: The mp3 file used for training is included in the `files` directory. |
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### Hugging Face Space |
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The fine-tuning process is based on the Hugging Face Space found here: |
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[FineTune Xtts Space](https://huggingface.co/spaces/drewThomasson/FineTune_Xtts) |
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### Docker Setup |
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#### With GPU |
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To run the training with GPU support: |
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```bash |
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docker run -it -p 7860:7860 --gpus all --pull always --platform=linux/amd64 registry.hf.space/drewthomasson-finetune-xtts:latest python app.py |
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``` |
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#### Without GPU |
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To run without GPU support: |
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```bash |
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docker run -it -p 7860:7860 --pull always --platform=linux/amd64 registry.hf.space/drewthomasson-finetune-xtts:latest python app.py |
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``` |
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### Notes |
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- Ensure you have a GPU available for optimal performance during training. |
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- The Docker image pulls the latest version each time it's run. |
