RVC Voice Conversion is a game-changer, offering voice conversion, text to speech, and the ability to train your own voice models online for free. No GPU required. Install it on your computer or use the online option on Hugging Face. Just keep in mind, the text to speech option may not sound as good as the voice to voice conversion. Happy converting! 🎤
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Today, I’m going to show you how to use RVC completely online and for free, without the need for a GPU. What exactly is RVC, or Retrieval Based Conversion? It is a free and open-source AI for voice conversion and text-to-speech, offering thousands of voice models to choose from. This tutorial will guide you through the various ways to access and utilize RVC for voice conversion and text-to-speech, as well as train your own voice models.
Installation Methods
Best Practice: Installation on Your Computer
The ideal way to use RVC is to install it directly onto your computer. Contrary to popular belief, a high-performance GPU or computer is not required to perform voice conversion. For comprehensive instructions on how to install RVC, refer to the video tutorial provided.
Alternative: Google Collab
If you encounter issues with the installation process on your computer, an alternative option was previously available through Google Collab. However, recent policy changes in Google Collab’s free plan have restricted the use of graphical interfaces such as RVC. As a result, running RVC on Google Collab is no longer a viable option.
RVC HF V2 on Hugging Face Spaces
Fortunately, there is still a free online option available for using RVC. RVC HF V2 is hosted on Hugging Face Spaces, a project developed by R3 GM. You can access and utilize all the regular functions of RVC, including model inference and text-to-speech, through this platform. For the detailed instructions and links, refer to the description provided.
Usage Instructions for RVC HF V2
Duplicating the Space
Upon accessing RVC HF V2, the first step is to duplicate the space provided. This action ensures that your audio files and models remain private and do not get inadvertently shared. After duplicating the space, the built-in function allows for the flexibility to customize the space settings according to your preferences.
Model Downloads
To begin using RVC HF V2 for voice conversion, you need to download the required voice models. Once you have your desired models, they can be utilized for model inference or text-to-speech functions within the space. Refer to the dedicated video tutorial for a comprehensive guide on finding and downloading AI voice models.
Model Inference
Model inference is the process of converting one voice into another, using the selected voice models. By following the detailed steps, you can successfully upload your voice recordings and choose the desired voice model for conversion. After the conversion process, you will be able to listen to and download the resulting audio files.
Text-To-Speech (TTS)
In addition to voice conversion, RVC HF V2 also offers text-to-speech capabilities. The user-friendly interface allows you to input your chosen text and select the desired voice model and dialect for the conversion. Upon conversion, both the original and converted audio files will be accessible for download.
Additional Considerations
For users interested in training their own voice models, it’s important to note that the current platform does not support training voice models due to its GPU limitations. However, an alternative video tutorial outlines the process of training your own voice model in Google Collab for free.
Conclusion
In conclusion, RVC HF V2 on Hugging Face Spaces provides a convenient and free method for online voice conversion and text-to-speech. By following the outlined instructions, you can navigate through the various functionalities of the platform and utilize it effectively. Remember, it’s essential to follow best practices for duplicating the space, downloading models, and performing model inference and text-to-speech conversions.
Key Takeaways
To ensure a smooth experience with RVC HF V2, the following key takeaways are worth noting:
- Duplicating the space is crucial to maintain privacy and control over your audio files and models.
- Model inference and text-to-speech offer versatile options for voice conversion and audio generation.
- Consider alternative platforms for training your own voice models if you desire a more personalized experience.
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FAQ
Q: Can RVC HF V2 be used for training AI voice models?
A: No, the platform only supports model inference and text-to-speech due to GPU limitations.
Q: What are the precautions when duplicating the space?
A: It ensures that your audio files and models remain private, preventing unintentional sharing.
Q: Can I download AI voice models from different sources?
A: Yes, various websites are available for downloading AI voice models. For a compilation of resources, refer to our video tutorial.
Disclaimer:
The tutorial is intended for educational and informational purposes. It is recommended to verify any specific implementation requirements and usage limitations with the respective platforms and resources. Refer to the video tutorial for a more comprehensive guide.
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