tortoise-tts/requirements.txt

tqdm
rotary_embedding_torch
transformers==4.19
tokenizers
inflect
progressbar
einops
unidecode
scipy
librosa==0.8.1
torchaudio
threadpoolctl
appdirs
numpy<=1.23.5
numba
Add setup 2022-05-03 03:24:34 +07:00			`tqdm`
Initial commit 2022-01-28 06:19:29 +07:00			`rotary_embedding_torch`
Pin transformers version to 4.19, fixes #186, google colab crashing 2022-11-11 23:16:56 +07:00			`transformers==4.19`
Initial commit 2022-01-28 06:19:29 +07:00			`tokenizers`
Update with downloadable model paths 2022-03-11 05:46:35 +07:00			`inflect`
Some fixes 2022-03-11 05:56:29 +07:00			`progressbar`
why didn't I also have it use chunks for computing the AR conditional latents (instead of just the diffusion aspect) 2023-03-14 01:13:49 +07:00			`einops`
update requirements and some docs 2022-04-21 22:06:43 +07:00			`unidecode`
add librosa to reqs 2022-04-27 15:33:43 +07:00			`scipy`
why didn't I also have it use chunks for computing the AR conditional latents (instead of just the diffusion aspect) 2023-03-14 01:13:49 +07:00			`librosa==0.8.1`
update requirements to ensure project will build and run 2023-01-11 15:48:58 +07:00			`torchaudio`
			`threadpoolctl`
			`appdirs`
added flags to rever to default method of latent generation (separately for the AR and Diffusion latents, as some voices don't play nicely with the chunk-for-all method) 2023-05-21 01:46:55 +07:00			`numpy<=1.23.5`
pip-ifying things 2023-02-16 19:48:06 +07:00			`numba`