No local GPU required
An Applio alternative for people without a local GPU
Applio is good software and this is not a claim to be better than it. If you own a capable NVIDIA GPU and want full control over every training parameter, install Applio. NiceVois exists for the case where you do not have that hardware, or do not want to maintain a Python environment to get one model file.
Both approaches run RVC v2 and both produce a .pth and a matching .index. The difference is entirely about where the computation happens and how much setup you own.
Where the two differ
| Applio (local) | NiceVois (cloud) | |
|---|---|---|
| Hardware needed | NVIDIA GPU, typically 8–12 GB VRAM or more | Any device with a browser |
| Setup | Install, dependencies, model downloads | None |
| Parameter control | Extensive | Audio, epochs, and model name |
| Output | .pth and .index | .pth, .index, and complete ZIP |
| Cost model | Your electricity and your hardware | Free during public beta |
| Runs offline | Yes | No |
| Batch and repeat runs | Unlimited once installed | Subject to beta limits |
When Applio is the better choice
- You already own the GPU and the setup cost is behind you.
- You want to tune parameters beyond epochs, or train repeatedly at volume.
- You need to work offline, or keep audio entirely on your own machine.
When cloud training is the better choice
- You have no NVIDIA GPU, or you are on a laptop, a Mac, or a phone.
- You want one model without maintaining an install you will use once.
- A Colab notebook you were relying on has stopped working.
The files are interchangeable. A model trained here loads in Applio, and a model trained in Applio loads anywhere else. Nothing about the output is specific to the service that produced it.
What the beta accepts
Up to 15 minutes of audio and up to 100 epochs, in WAV, MP3, FLAC, M4A, or OGG. Finished files stay available for seven days unless you delete them sooner. See the dataset guide for what to upload and the epoch guide for how far to train.
Permission still applies
Train your own voice, or a voice you have clear permission to use. Our acceptable use policy explains the boundary.
Upload permitted audio and leave with the same portable RVC files Applio would produce.
Train my RVC model