1
1
forked from mrq/tortoise-tts
Commit Graph

310 Commits

Author SHA1 Message Date
mrq
d1ad634ea9 added japanese preprocessor for tokenizer 2023-03-17 20:03:02 +00:00
mrq
af78e3978a deduce if preprocessing text by checking the JSON itself instead 2023-03-16 14:41:04 +00:00
mrq
e201746eeb added diffusion_model and tokenizer_json as arguments for settings editing 2023-03-16 14:19:24 +00:00
mrq
1f674a468f added flag to disable preprocessing (because some IPAs will turn into ASCII, implicitly enable for using the specific ipa.json tokenizer vocab) 2023-03-16 04:33:03 +00:00
mrq
42cb1f3674 added args for tokenizer and diffusion model (so I don't have to add it later) 2023-03-15 00:30:28 +00:00
mrq
65a43deb9e 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 +00:00
mrq
97cd58e7eb maybe solved that odd VRAM spike when doing the clvp pass 2023-03-12 12:48:29 -05:00
mrq
fec0685405 revert muh clean code 2023-03-10 00:56:29 +00:00
mrq
0514f011ff how did I botch this, I don't think it affects anything since it never thrown an error 2023-03-09 22:36:12 +00:00
mrq
00be48670b i am very smart 2023-03-09 02:06:44 +00:00
mrq
bbeee40ab3 forgot to convert to gigabytes 2023-03-09 00:51:13 +00:00
mrq
6410df569b expose VRAM easily 2023-03-09 00:38:31 +00:00
mrq
3dd5cad324 reverting additional auto-suggested batch sizes, per mrq/ai-voice-cloning#87 proving it in fact, is not a good idea 2023-03-07 19:38:02 +00:00
mrq
cc36c0997c didn't get a chance to commit this this morning 2023-03-07 15:43:09 +00:00
mrq
fffea7fc03 unmarried the config.json to the bigvgan by downloading the right one 2023-03-07 13:37:45 +00:00
mrq
26133c2031 do not reload AR/vocoder if already loaded 2023-03-07 04:33:49 +00:00
mrq
e2db36af60 added loading vocoders on the fly 2023-03-07 02:44:09 +00:00
mrq
7b2aa51abc oops 2023-03-06 21:32:20 +00:00
mrq
7f98727ad5 added option to specify autoregressive model at tts generation time (for a spicy feature later) 2023-03-06 20:31:19 +00:00
mrq
6fcd8c604f moved bigvgan model to a huggingspace repo 2023-03-05 19:47:22 +00:00
mrq
0f3261e071 you should have migrated by now, if anything breaks it's on (You) 2023-03-05 14:03:18 +00:00
mrq
06bdf72b89 load the model on CPU because torch doesn't like loading models directly to GPU (it just follows the default vocoder loading behavior) 2023-03-03 13:53:21 +00:00
mrq
2ba0e056cd attribution 2023-03-03 06:45:35 +00:00
mrq
aca32a71f7 added BigVGAN in place of default vocoder (credit to https://github.com/deviandice/tortoise-tts-BigVGAN) 2023-03-03 06:30:58 +00:00
mrq
a9de016230 added storing the loaded model's hash to the TTS object instead of relying on jerryrig injecting it (although I still have to for the weirdos who refuse to update the right way), added a parameter when loading voices to load a latent tagged with a model's hash so latents are per-model now 2023-03-02 00:44:42 +00:00
mrq
7b839a4263 applied the bitsandbytes wrapper to tortoise inference (not sure if it matters) 2023-02-28 01:42:10 +00:00
mrq
7cc0250a1a added more kill checks, since it only actually did it for the first iteration of a loop 2023-02-24 23:10:04 +00:00
mrq
de46cf7831 adding magically deleted files back (might have a hunch on what happened) 2023-02-24 19:30:04 +00:00
mrq
2c7c02eb5c moved the old readme back, to align with how DLAS is setup, sorta 2023-02-19 17:37:36 +00:00
mrq
34b232927e Oops 2023-02-19 01:54:21 +00:00
mrq
d8c6739820 added constructor argument and function to load a user-specified autoregressive model 2023-02-18 14:08:45 +00:00
mrq
00cb19b6cf arg to skip voice latents for grabbing voice lists (for preparing datasets) 2023-02-17 04:50:02 +00:00
mrq
b255a77a05 updated notebooks to use the new "main" setup 2023-02-17 03:31:19 +00:00
mrq
150138860c oops 2023-02-17 01:46:38 +00:00
mrq
6ad3477bfd one more update 2023-02-16 23:18:02 +00:00
mrq
413703b572 fixed colab to use the new repo, reorder loading tortoise before the web UI for people who don't wait 2023-02-16 22:12:13 +00:00
mrq
30298b9ca3 fixing brain worms 2023-02-16 21:36:49 +00:00
mrq
d53edf540e pip-ifying things 2023-02-16 19:48:06 +00:00
mrq
d159346572 oops 2023-02-16 13:23:07 +00:00
mrq
eca61af016 actually for real fixed incrementing filenames because i had a regex that actually only worked if candidates or lines>1, cuda now takes priority over dml if you're a nut with both of them installed because you can just specify an override anyways 2023-02-16 01:06:32 +00:00
mrq
ec80ca632b added setting "device-override", less naively decide the number to use for results, some other thing 2023-02-15 21:51:22 +00:00
mrq
dcc5c140e6 fixes 2023-02-15 15:33:08 +00:00
mrq
729b292515 oops x2 2023-02-15 05:57:42 +00:00
mrq
5bf98de301 oops 2023-02-15 05:55:01 +00:00
mrq
3e8365fdec voicefixed files do not overwrite, as my autism wants to hear the difference between them, incrementing file format fixed for real 2023-02-15 05:49:28 +00:00
mrq
ea1bc770aa added option: force cpu for conditioning latents, for when you want low chunk counts but your GPU keeps OOMing because fuck fragmentation 2023-02-15 05:01:40 +00:00
mrq
b721e395b5 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 +00:00
mrq
2e777e8a67 done away with kludgy shit code, just have the user decide how many chunks to slice concat'd samples to (since it actually does improve vocie replicability) 2023-02-15 04:39:31 +00:00
mrq
314feaeea1 added reset generation settings to default button, revamped utilities tab to double as plain jane voice importer (and runs through voicefixer despite it not really doing anything if your voice samples are already of decent quality anyways), ditched load_wav_to_torch or whatever it was called because it literally exists as torchaudio.load, sample voice is now a combined waveform of all your samples and will always return even if using a latents file 2023-02-14 21:20:04 +00:00
mrq
0bc2c1f540 updates chunk size to the chunked tensor length, just in case 2023-02-14 17:13:34 +00:00