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tortoise-tts
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(QoL improvements for) a multi-voice TTS system trained with an emphasis on quality
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deviandice e650800447 Update 'tortoise/utils/device.py' 
Noticed that the autoregressive batch size was being set off of VRAM size. Adjusted to scale for the VRAM capacity of 90 series GPUs. In this case, 16 -> 32 batches. 

Using the standard pre-set with ChungusVGAN, I went from 16 steps to 8.
Over an average of 3 runs, I achieved an average of 294 seconds with 16 batches, to 234 seconds with 32. Can't complain at a 1.2x speed increase with functionally 2 lines of code. Can't complain. 

I restarted tortoise each run, and executing ```torch.cuda.empty_cache()``` just before loading the autoregressive model to clean the memory cache each time.
 		2023-03-07 14:05:27 +07:00
config Added settings page, added checking for updates (disabled by default), some other things that I don't remember 2023-02-06 21:43:01 +07:00
convert modified conversion scripts to not give a shit about bitrate and formats since torchaudio.load handles all of that anyways, and it all gets resampled anyways 2023-02-15 04:44:14 +07:00
scripts Fix typos 2023-01-06 11:04:36 +07:00
tortoise Update 'tortoise/utils/device.py' 2023-03-07 14:05:27 +07:00
.gitignore added shell scripts for linux, wrapped sorted() for voice list, I guess 2023-02-06 21:54:31 +07:00
CITATION.cff update citation file 2022-04-28 23:11:09 +07:00
LICENSE Initial commit 2022-01-27 21:33:15 +07:00
MANIFEST.in Also include voices in the manifest 2022-05-31 10:31:50 +07:00
README.md you should have migrated by now, if anything breaks it's on (You) 2023-03-05 14:03:18 +07:00
requirements.txt pip-ifying things 2023-02-16 19:48:06 +07:00
requirements_legacy.txt pip-ifying things 2023-02-16 19:48:06 +07:00
setup.py added option to specify autoregressive model at tts generation time (for a spicy feature later) 2023-03-06 20:31:19 +07:00

README.md

(QoL improvements for) TorToiSe

This repo is for my modifications to neonbjb/tortoise-tts. If you need the original README, refer to the original repo.

> w-where'd everything go?

Please migrate to mrq/ai-voice-cloning, as that repo is the more cohesive package for voice cloning.