Update 'Installation'
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## Colab Notebook
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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
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Simply go [here](https://colab.research.google.com/) and upload the file.
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For the unfortunate using Paperspace, this notebook should also work for it.
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This software has been tested both locally on Windows and Linux, as well as Jupyter instances.
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## Installing
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@ -90,12 +84,35 @@ Additionally, training on AMD cards cannot leverage BitsAndBytes optimizations,
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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.
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### Migrating from [mrq/tortoise-tts](https://git.ecker.tech/mrq/tortoise-tts)
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## Notebooks
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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:
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* `./config/`
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* `./results/`
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* `./voices/`
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* `./models/`
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The repo provides a notebooks to run the software on an instance rather than local hardware.
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then run the setup script.
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### Colab
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[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
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For colab use, simply:
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* download the above notebook
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* navigate to [Colab](https://colab.research.google.com/)
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* upload the notebook
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* run the Installation block
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* run the Drive Mount block
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* run EITHER the "Run (Inlined)" or "Run (Non-inlined)"
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* add in your voices through Google Drive (if mounted) or upload them on the sidebar on the left
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### Paperspace
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[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
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For paperspace use, simply:
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* download the above notebook
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* navigate to [Paperspace](https://www.paperspace.com/)
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* create either a new account or login to an existing one
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* create a new Gradient project
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* create a notebook
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* click start from scratch
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* select your machine (this can be changed later on)
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* select `6 hours` for auto-shutdown time (this can be changed later)
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* click start notebook
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* upload the notebook file
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* run the Installation block
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* run the Running block
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