5c876b81f3
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
8f20afc18f
Reverted slight improvement patch, as it's just enough to OOM on GPUs with low VRAM
2023-02-03 21:45:06 +00:00
e8d4a4f89c
Added progress for transforming to audio, changed number inputs to sliders instead
2023-02-03 04:56:30 +00:00
ea751d7b6c
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
de7c5ddec3
Typofix
2022-06-11 21:19:07 +09:00
Johan Nordberg
b876a6b32c
Allow running on CPU
2022-06-11 20:03:14 +09:00
Johan Nordberg
9f6ae0f0b3
Add tortoise_cli.py
2022-05-28 05:25:23 +00:00
Johan Nordberg
b681fa9d11
Skip CLVP if cvvp_amount is 1
...
Also fixes formatting bug in log message
2022-05-25 11:12:53 +00:00
Johan Nordberg
a52e3026ba
Revive CVVP model
2022-05-25 10:22:50 +00:00
James Betker
1a8c9f741a
Merge remote-tracking branch 'origin/main'
...
# Conflicts:
# tortoise/read.py
2022-05-19 10:34:54 -06:00
Johan Nordberg
20220893af
Allow setting models path from environment variable
2022-05-19 21:02:09 +09:00
James Betker
8139afd0e5
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
aef86d21bf
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
50690e4465
Automatically pick batch size based on available GPU memory
2022-05-13 10:30:02 -06:00
James Betker
1a4f0fa350
update model paths (including clvp2!)
2022-05-12 20:18:11 -06:00
James Betker
7d5e7dbba8
CLVP2!
2022-05-12 13:23:03 -06:00
Mark Baushenko
cbccc5e953
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
317d55c252
re-enable redaction
2022-05-06 09:36:42 -06:00
James Betker
8672075914
temporarily disable redaction
2022-05-06 09:06:20 -06:00
James Betker
ddb19f6b0f
Enable redaction by default
2022-05-03 21:21:52 -06:00
James Betker
c1d004aeb0
change quality presets
2022-05-03 21:01:26 -06:00
James Betker
a4cda68ddf
getting ready for 2.1 release
2022-05-02 20:20:50 -06:00
James Betker
f499d66493
misc fixes
2022-05-02 18:00:57 -06:00
James Betker
2888ae0337
Fix bug with k>1
2022-05-02 18:00:22 -06:00
James Betker
cdf44d7506
more fixes
2022-05-02 16:44:47 -06:00
James Betker
39ec1b0db5
Support totally random voices (and make fixes to previous changes)
2022-05-02 15:40:03 -06:00
James Betker
9007955d88
Add redaction support
2022-05-02 14:57:29 -06:00
James Betker
cd2d4229bf
Better error messages when inputs are out of bounds.
2022-05-01 17:39:36 -06:00
James Betker
0ffc191408
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
f7c8decfdb
Move everything into the tortoise/ subdirectory
...
For eventual packaging.
2022-05-01 16:24:24 -06:00
