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Update installation.md: xVASynth folder (#284)
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Pointing out xVASynth Nexus Premium implementation bug: DanRuta/xVA-Synth#59

Co-authored-by: art-from-the-machine <[email protected]>
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Pendrokar and art-from-the-machine authored Sep 1, 2024
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Expand Up @@ -265,6 +265,12 @@ By default, Mantella comes packaged with a fast and local TTS service called Pip

You may need to restart the download a few times for all voice models to properly download.
```

```{admonition} Warning
:class: attention
If the first voice model never finishes installing. See if the game folder exists within `resources/app/models`. If it is not there, create it and retry. As this is a known bug of xVASynth: [https://github.com/DanRuta/xVA-Synth/issues/59](https://github.com/DanRuta/xVA-Synth/issues/59)
```

#### 🌊 Torrent (Slowest, Easiest)
Voice models can be downloaded via a single torrent. Torrents can be downloaded via Bittorent clients such as [qBittorent](https://www.qbittorrent.org/download). Note that download speeds vary depending on the time of day. Paste the below magnet link in your browser to receive a popup to open it via your Bittorent client, and set the download location to your_xVASynth_folder/resources/app/models/skyrim:
Expand Down Expand Up @@ -342,4 +348,4 @@ ____________________________________
guillaumekln's Faster-Whisper version of Whisper is used as Speech-To-Text engine by Mantella. The engine is **already part of the executable** and will download a chosen model automatically when launched. Uses a single CPU core by default when listening to the set default Windows microphone. Alternatively text input can be enabled by setting `microphone_enabled = 0` within MantellaSoftware/config.ini.

It is reasonably fast even in CPU mode with the base model. Optionally, to use GPU/CUDA mode, some extra files are required, see [Faster Whisper documentation](https://github.com/guillaumekln/faster-whisper#gpu). Note that cuBLAS may already be part of the CUDA Toolkit, so you may only require the `cudnn_###_infer64_8.dll` files to be beside the Mantella executable. Afterwards enable `process_device = cuda` under `[Microphone]` in MantellaSoftware/config.ini.
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