mrq
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ai-voice-cloning
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Collection of utilities aimed to voice clone through AI
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Python 91.1%
Jupyter Notebook 4.9%
Shell 2.1%
Batchfile 1.1%
Dockerfile 0.8%
 
 
 
 
 
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mrq d5c1433268 a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +07:00
bin Initial refractor 2023-02-17 00:08:27 +07:00
config just in case 2023-02-17 20:13:00 +07:00
models a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +07:00
results Initial refractor 2023-02-17 00:08:27 +07:00
src a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +07:00
training a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +07:00
voices Initial refractor 2023-02-17 00:08:27 +07:00
.gitignore Initial refractor 2023-02-17 00:08:27 +07:00
LICENSE Initial refractor 2023-02-17 00:08:27 +07:00
README.md small fixes 2023-02-17 20:10:27 +07:00
notebook.ipynb a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +07:00
requirements.txt added preparation of LJSpeech-esque dataset 2023-02-17 05:42:55 +07:00
setup-cuda.bat almost 2023-02-17 15:53:50 +07:00
setup-cuda.sh almost 2023-02-17 15:53:50 +07:00
setup-directml.bat almost 2023-02-17 15:53:50 +07:00
setup-rocm.sh almost 2023-02-17 15:53:50 +07:00
setup-training.sh small fixes 2023-02-17 20:18:57 +07:00
setup_training.bat small fixes 2023-02-17 20:18:57 +07:00
start.bat added dropdown to select which whisper model to use for transcription, added note that FFMPEG is required 2023-02-17 06:01:14 +07:00
start.sh Initial refractor 2023-02-17 00:08:27 +07:00
train.bat a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +07:00
train.ipynb added preparation of LJSpeech-esque dataset 2023-02-17 05:42:55 +07:00
train.sh a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +07:00
update-force.bat Initial refractor 2023-02-17 00:08:27 +07:00
update-force.sh Initial refractor 2023-02-17 00:08:27 +07:00
update.bat pulls DLAS for any updates since I might be actually updating it, added option to not load TTS on initialization to save VRAM when training 2023-02-17 20:43:12 +07:00
update.sh pulls DLAS for any updates since I might be actually updating it, added option to not load TTS on initialization to save VRAM when training 2023-02-17 20:43:12 +07:00

README.md

AI Voice Cloning

This repo/rentry aims to serve as both a foolproof guide for setting up AI voice cloning tools for legitimate, local use on Windows/Linux, as well as a stepping stone for anons that genuinely want to play around with TorToiSe.

Similar to my own findings for Stable Diffusion image generation, this rentry may appear a little disheveled as I note my new findings with TorToiSe. Please keep this in mind if the guide seems to shift a bit or sound confusing.

>Ugh... why bother when I can just abuse 11.AI?

You're more than welcome to, but TorToiSe is shaping up to be a very promising tool, especially with finetuning now on the horizon.

This is not endorsed by neonbjb. I do not expect this to run into any ethical issues, as it seems (like me), this is mostly for making funny haha vidya characters say funny lines.

Documentation

Please consult the wiki for the documentation, including how to install, prepare voices for, and use the software.