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108 lines
3.6 KiB
Markdown
108 lines
3.6 KiB
Markdown
---
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weight: 300
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title: SVC Voice Changer
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---
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# SVC Voice Changer
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- [so-vits-svc-fork @ GitHub](https://github.com/voicepaw/so-vits-svc-fork)
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- [pre-trained models @ HuggingFace](https://huggingface.co/models?search=so-vits-svc)
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so-vits-svc is one of simpler voice changers to set up on Linux. It can run on CPU as well as NVidia and AMD GPUs.
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This is an exert of the original README.md of the GitHub repository, intended for people who are as bad with Python as I am.
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# Setup
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Disclaimer: There's probably a better way. I'm not good at Python. Or machine learning.
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### Prerequisites:
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Install the following packages using your distro's package manager:
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- Python 3.10
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- Pip for Python 3.10
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- Virtualenv for Python 3.10
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Please use 3.10 exactly, not newer or older.
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### Create virtualenv:
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In this example, we will create the virtualenv inside `~/.var/venv/`. Feel free to change the location, any folder will work.
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Create virtualenv:
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```bash
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mkdir -p ~/.var/venv/svc/
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cd ~/.var/venv/svc/
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python3.10 -m venv .
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```
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Activate virtualenv
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- On fish: `. bin/activate.fish`
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- On csh: `. bin/activate.csh`
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- On bash/zsh: `. bin/activate`
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At this point, if you call python or pip, you will be running that command inside the virtualenv.
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You can activate the virtualenv again by `cd ~/.var/venv/svc/` followed by the activate command for your shell.
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To exit the virtualenv, run `deactivate`.
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### Install SVC
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Do these while you have the virtualenv activated.
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Install required tools:
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- `python -m pip install -U pip setuptools wheel`
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PyTorch with CUDA support for NVIDIA GPUs:
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- Please install CUDA 11.8 using your system package manager. Newer versions may not work.
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- `pip install -U torch torchaudio --index-url https://download.pytorch.org/whl/cu118`
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PyTorch with ROCm support for AMD GPUs:
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- Please install ROCm 5.7.1 via your system package manager. Newer versions may not work.
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- `pip install -U torch torchaudio --index-url https://download.pytorch.org/whl/rocm5.7`
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PyTorch for CPU only (you can also choose CPU mode with the options above):
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- `pip install -U torch torchaudio --index-url https://download.pytorch.org/whl/cpu`
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Finally, install SVC:
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- `pip install -U so-vits-svc-fork`
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### Launch the GUI
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You can start the graphical UI by running `svcg` inside the virtualenv.
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Example start script for bash:
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```bash
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#!/usr/bin/env bash
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. ~/.var/venv/svc/bin/activate
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svcg
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```
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### Models
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Grab a model from HuggingFace (link on top of page). Models that work with this setup are the ones tagged with `
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so-vits-svc-4.0` or `so-vits-svc-4.1`.
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You will need 2 files for SVC to work:
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- `G_0000.pth` where 0000 is some number. Usually a higher number means better, but only if you're comparing files within the same repository.
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- `config.json` tells SVC how to use the pth file.
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With SVC running, plop the `G_0000.pth` into `Model Path` on the top left, and `config.json` into `Config Path`.
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### Starting the Voice Changer
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Default settings usually work OK. What you want to change is `Pitch`. This will be different depending on how high your own voice is compared to the model's voice. You will need different `Pitch` setting for different models.
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Check `Use GPU` on the bottom center if you want to torture your GPU with your voice. It better not complain for how expensive it was.
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Click `(Re)Start Voice Changer` to do just that. You also need to click this after changing any settings.
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### PipeWire Setup
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This is for ALVR-only right now. TODO the rest.
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Use `qpwgraph` or `helvum` to:
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1. Disconnect `vrserver` from `ALVR-MIC-Sink`.
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2. Pipe the output of `vrserver` to the input of `Python3.10`.
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3. Pipe the output of `Python3.10` to the input of `ALVR-MIC-Sink`.
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