# What's RVC

Last update: Oct 21, 2024

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# Introduction

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• RVC (Retrieval-Based Voice Conversion) is an advanced AI voice cloning software, developed by the RVC-Project team. It's considered the best free & open-source one to date.

• It was designed for desktop, requiring great specs to run it effectively, specially GPU for training models.

• Though it can be executed through the cloud & be used in any device, in case you don't meet the previous requirement.
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# Forks

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• A fork is a copy of a main GitHub project. It aims to make a different version of the project, with improvements, new features & modifications.

• RVC has quite a few forks made by the community, each one meeting different needs for the user, and with its pros & cons.

• These are the main ones, along with their cloud-based counterparts:

  • # Mainline (Original RVC)

    • # Mainline Kaggle

    • # Mainline Colab

    • # Ilaria RVC Zero (Inference only)

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  • # Applio

    • # Applio Colab

    • # Applio Kaggle

    • # Applio Lighting Ai

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  • # Codename Fork

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  • # Mangio

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  • # AICoverGen

    • # AICoverGen NO UI

    • # AICoverGen UI

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# FAQ

# Frequently asked questions.

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• As explained before, it depends on your needs. It's best to try them yourself.
• For local users, Applio is a great starting point. For cloud users you can use either the Applio Colab or mainline kaggle.

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The minimum specs vary depending if it's for training models or inference.

SPEC	REQUIREMENT
GPU	NVIDIA RTX 1060 / AMD RX5700
RAM	6GB
Storage	30 GB

SPEC	REQUIREMENT
RAM	6GB
Storage	6 GB

NOTES:

• For inference, the storage requirement varies depending on the fork. It can be around 5 to 9 GB
• If you don't meet these requirements, it's more convenient to use RVC on the cloud.

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• You can, but it's going to be slower, as they don't have CUDA cores.
• So it's more convenient using RVC through the cloud.
• If you're willing to use a slower version you can go ahead and follow this guide on how to get zluda working with Applio.

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• The total time depends on a lot of factors, like dataset length, batch size, pretrains, specs, etc.

• A 10 min dataset with RMVPE may take around 1 to 2 hours.

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• Yes, on Macs of recent generations.
• But you can only do inference & it's a little unstable.

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• If you're using RVC locally, no.
• If you're using it through the cloud, then yes.

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