d9a9fa6a82
Added two flags/settings: embed output settings, slimmer computed voice latents
2023-02-08 14:14:28 +00:00
6ebdde58f0
(finally) added the CVVP model weigh slider, latents export more data too for weighing against CVVP
2023-02-07 20:55:56 +00:00
6515d3b6de
added shell scripts for linux, wrapped sorted() for voice list, I guess
2023-02-06 21:54:31 -06:00
be6fab9dcb
added setting to adjust autoregressive sample batch size
2023-02-06 22:31:06 +00:00
100b4d7e61
Added settings page, added checking for updates (disabled by default), some other things that I don't remember
2023-02-06 21:43:01 +00:00
5affc777e0
added another (somewhat adequate) example, added metadata storage to generated files (need to add in a viewer later)
2023-02-06 14:17:41 +00:00
2cfd3bc213
updated README (before I go mad trying to nitpick and edit it while getting distracted from an iToddler sperging)
2023-02-06 00:56:17 +00:00
945136330c
Forgot to rename the cached latents to the new filename
2023-02-05 23:51:52 +00:00
5bf21fdbe1
modified how conditional latents are computed (before, it just happened to only bother reading the first 102400/24000=4.26 seconds per audio input, now it will chunk it all to compute latents)
2023-02-05 23:25:41 +00:00
1c582b5dc8
added button to refresh voice list, enabling KV caching for a bonerific speed increase (credit to https://github.com/152334H/tortoise-tts-fast/ )
2023-02-05 17:59:13 +00:00
8831522de9
New tunable: pause size/breathing room (governs pause at the end of clips)
2023-02-05 14:45:51 +00:00
bc567d7263
Skip combining if not splitting, also avoids reading back the audio files to combine them by keeping them in memory
2023-02-05 06:35:32 +00:00
d29ba75dd6
cleaned up element order with Blocks, also added preset updating the samples/iterations counts
2023-02-05 03:53:46 +00:00
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
43f45274dd
Cleaned up the good-morning-sirs-dialect labels, fixed seed=0 not being a random seed, show seed on output
2023-02-03 01:25:03 +00:00
74f447e5d0
QoL fixes
2023-02-02 21:13:28 +00:00
James Betker
5dc3e269b3
Merge pull request #233 from kianmeng/fix-typos
...
Fix typos
2023-01-17 18:24:24 -07:00
chris
7ce3dc7bf1
add explicit requirements.txt usage for dep installation
2023-01-11 10:50:18 -05:00
원빈 정
b3d67dcc6b
Add reference of univnet implementation
2023-01-06 15:57:02 +09:00
Kian-Meng Ang
551fe655ff
Fix typos
...
Found via `codespell -S *.json -L splitted,nd,ser,broadcat`
2023-01-06 11:04:36 +08:00
James Betker
f28a116b48
Update README.md
2022-12-05 13:16:36 -08:00
Harry Coultas Blum
2efc5a3e50
Added keyword argument
2022-07-08 14:28:24 +01:00
James Betker
00f8bc5e78
Update README.md
2022-06-23 15:57:50 -07:00
Jai Mu
5bff5dd819
Update README.md
...
Useless update but it was bothering me.
2022-05-22 00:56:06 +09:30
James Betker
5d5aacc38c
v2.4
2022-05-17 12:15:13 -06:00
James Betker
8c0b3855bf
Release notes for 2.3
2022-05-12 20:26:24 -06:00
James Betker
099bf8363c
Update README with suggestions for windows installation
2022-05-08 20:44:44 -06:00
James Betker
ffd0238a16
v2.2
2022-05-06 00:11:10 -06:00
James Betker
b327be56c6
Update readme with prompt engineering
2022-05-03 21:32:06 -06:00
James Betker
e93e5a0c16
Add setup
2022-05-02 21:24:34 -06:00
James Betker
98afa484f1
Update README and update to version 2.1
2022-05-02 21:02:29 -06:00
James Betker
a4cda68ddf
getting ready for 2.1 release
2022-05-02 20:20:50 -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
e857911fca
ack
2022-04-27 23:22:55 -06:00
James Betker
524ae1a5a8
tortoise-detect docs
2022-04-26 10:37:44 -06:00
James Betker
26611b158e
updates
2022-04-25 21:28:18 -06:00
James Betker
cbc7ba0a63
update readme
2022-04-25 21:19:02 -06:00
James Betker
2a5166d9e1
add regenerate option
2022-04-25 20:05:21 -06:00
James Betker
073b27ccbe
update
2022-04-25 17:02:59 -06:00
James Betker
a064290559
Update documentation, add optional verbosity
2022-04-25 16:59:04 -06:00
James Betker
31f7372024
Another update
2022-03-10 23:33:48 -07:00
James Betker
048b0996bc
Update readme
2022-03-10 23:32:35 -07:00
James Betker
1a2fb5db63
Update docs
2022-02-03 22:18:21 -07:00
James Betker
5a958b4f4b
Initial commit
2022-01-27 23:19:29 -07:00
James Betker
051f500010
Initial commit
2022-01-27 21:33:15 -07:00
