Commit Graph

31 Commits

Author SHA1 Message Date
mrq
078dc0c6e2 Added choices to choose between diffusion samplers (p, ddim) 2023-02-05 01:28:31 +00:00
mrq
4274cce218 Added small optimization with caching latents, dropped Anaconda for just a py3.9 + pip + venv setup, added helper install scripts for such, cleaned up app.py, added flag '--low-vram' to disable minor optimizations 2023-02-04 01:50:57 +00:00
mrq
061aa65ac4 Reverted slight improvement patch, as it's just enough to OOM on GPUs with low VRAM 2023-02-03 21:45:06 +00:00
mrq
4f359bffa4 Added progress for transforming to audio, changed number inputs to sliders instead 2023-02-03 04:56:30 +00:00
mrq
ef237c70d0 forgot to copy the alleged slight performance improvement patch, added detailed progress information with passing gr.Progress, save a little more info with output 2023-02-03 04:20:01 +00:00
Johan Nordberg
dba14650cb Typofix 2022-06-11 21:19:07 +09:00
Johan Nordberg
5c7a50820c Allow running on CPU 2022-06-11 20:03:14 +09:00
Johan Nordberg
a641d8f29b Add tortoise_cli.py 2022-05-28 05:25:23 +00:00
Johan Nordberg
f396dcc023 Skip CLVP if cvvp_amount is 1
Also fixes formatting bug in log message
2022-05-25 11:12:53 +00:00
Johan Nordberg
0ca4d8f291 Revive CVVP model 2022-05-25 10:22:50 +00:00
James Betker
a1c131bde9 Merge remote-tracking branch 'origin/main'
# Conflicts:
#	tortoise/read.py
2022-05-19 10:34:54 -06:00
Johan Nordberg
00730d2786 Allow setting models path from environment variable 2022-05-19 21:02:09 +09:00
James Betker
8fdf516e62 Remove CVVP
After training a similar model for a different purpose, I realized that
this model is faulty: the contrastive loss it uses only pays attention
to high-frequency details which do not contribute meaningfully to
output quality. I validated this by comparing a no-CVVP output with
a baseline using tts-scores and found no differences.
2022-05-17 12:21:25 -06:00
James Betker
a1ae84c49d Add a way to get deterministic behavior from tortoise and add debug states for reporting 2022-05-17 12:11:18 -06:00
James Betker
0570034eda Automatically pick batch size based on available GPU memory 2022-05-13 10:30:02 -06:00
James Betker
b3b36c0041 update model paths (including clvp2!) 2022-05-12 20:18:11 -06:00
James Betker
44a4419348 CLVP2! 2022-05-12 13:23:03 -06:00
Mark Baushenko
cc38333249 Optimizing graphics card memory
During inference it does not store gradients, which take up most of the video memory
2022-05-11 16:35:11 +03:00
James Betker
e4e9523900 re-enable redaction 2022-05-06 09:36:42 -06:00
James Betker
9151650559 temporarily disable redaction 2022-05-06 09:06:20 -06:00
James Betker
b11f6ddd60 Enable redaction by default 2022-05-03 21:21:52 -06:00
James Betker
53cb3299d4 change quality presets 2022-05-03 21:01:26 -06:00
James Betker
e4e8ebfc55 getting ready for 2.1 release 2022-05-02 20:20:50 -06:00
James Betker
5663e98904 misc fixes 2022-05-02 18:00:57 -06:00
James Betker
e00606a601 Fix bug with k>1 2022-05-02 18:00:22 -06:00
James Betker
ccf16f978e more fixes 2022-05-02 16:44:47 -06:00
James Betker
ee24d3ee4b Support totally random voices (and make fixes to previous changes) 2022-05-02 15:40:03 -06:00
James Betker
f631123264 Add redaction support 2022-05-02 14:57:29 -06:00
James Betker
f823e31e49 Better error messages when inputs are out of bounds. 2022-05-01 17:39:36 -06:00
James Betker
01b783fc02 Add support for extracting and feeding conditioning latents directly into the model
- Adds a new script and API endpoints for doing this
- Reworks autoregressive and diffusion models so that the conditioning is computed separately (which will actually provide a mild performance boost)
- Updates README

This is untested. Need to do the following manual tests (and someday write unit tests for this behemoth before
it becomes a problem..)
1) Does get_conditioning_latents.py work?
2) Can I feed those latents back into the model by creating a new voice?
3) Can I still mix and match voices (both with conditioning latents and normal voices) with read.py?
2022-05-01 17:25:18 -06:00
James Betker
23a3d5d00b Move everything into the tortoise/ subdirectory
For eventual packaging.
2022-05-01 16:24:24 -06:00