mrq
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ai-voice-cloning
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mrq 2023-03-08 03:59:21 +07:00
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Installation.md
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## Colab Notebook
A colab-ready notebook to quickly set up and use this repo is included and available [here](https://git.ecker.tech/mrq/ai-voice-cloning/raw/branch/master/notebook.ipynb): https://git.ecker.tech/mrq/ai-voice-cloning/raw/branch/master/notebook.ipynb
Simply go [here](https://colab.research.google.com/) and upload the file.
For the unfortunate using Paperspace, this notebook should also work for it.
This software has been tested both locally on Windows and Linux, as well as Jupyter instances.
## Installing
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To check for updates, simply run `update.bat` (or `update.sh`). It should pull from the repo, as well as fetch for any new dependencies.
### Migrating from [mrq/tortoise-tts](https://git.ecker.tech/mrq/tortoise-tts)
If you're migrating from [mrq/tortoise-tts](https://git.ecker.tech/mrq/tortoise-tts), you can simply clone this repo, then move the following folders:
* `./config/`
* `./results/`
* `./voices/`
* `./models/`
then run the setup script.
## Notebooks
The repo provides a notebooks to run the software on an instance rather than local hardware.
### Colab
[Notebook](https://git.ecker.tech/mrq/ai-voice-cloning/raw/branch/master/notebook_colab.ipynb): https://git.ecker.tech/mrq/ai-voice-cloning/raw/branch/master/notebook_colab.ipynb
For colab use, simply:
* download the above notebook
* navigate to [Colab](https://colab.research.google.com/)
* upload the notebook
* run the Installation block
* run the Drive Mount block
* run EITHER the "Run (Inlined)" or "Run (Non-inlined)"
* add in your voices through Google Drive (if mounted) or upload them on the sidebar on the left
### Paperspace
[Notebook](https://git.ecker.tech/mrq/ai-voice-cloning/raw/branch/master/notebook_paperspace.ipynb): https://git.ecker.tech/mrq/ai-voice-cloning/raw/branch/master/notebook_paperspace.ipynb
For paperspace use, simply:
* download the above notebook
* navigate to [Paperspace](https://www.paperspace.com/)
* create either a new account or login to an existing one
* create a new Gradient project
* create a notebook
* click start from scratch
* select your machine (this can be changed later on)
* select `6 hours` for auto-shutdown time (this can be changed later)
* click start notebook
* upload the notebook file
* run the Installation block
* run the Running block