James Betker
8c255811ad
more fixes
2022-01-25 17:57:16 -07:00
James Betker
0f3ca28e39
Allow diffusion model to be trained with masking tokens
2022-01-25 14:26:21 -07:00
James Betker
d18aec793a
Revert "(re) attempt diffusion checkpointing logic"
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This reverts commit b22eec8fe3
2022-01-22 09:14:50 -07:00
James Betker
b22eec8fe3
(re) attempt diffusion checkpointing logic
2022-01-22 08:34:40 -07:00
James Betker
8f48848f91
misc
2022-01-22 08:23:29 -07:00
James Betker
851070075a
text<->cond clip
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I need that universal clip..
2022-01-22 08:23:14 -07:00
James Betker
8e2439f50d
Decrease resolution requirements to 2048
2022-01-20 11:27:49 -07:00
James Betker
4af8525dc3
Adjust diffusion vocoder to allow training individual levels
2022-01-19 13:37:59 -07:00
James Betker
ac13bfefe8
use_diffuse_tts
2022-01-19 00:35:24 -07:00
James Betker
bcd8cc51e1
Enable collated data for diffusion purposes
2022-01-19 00:35:08 -07:00
James Betker
dc9cd8c206
Update use_gpt_tts to be usable with unified_voice2
2022-01-18 21:14:17 -07:00
James Betker
7b4544b83a
Add an experimental unet_diffusion_tts to perform experiments on
2022-01-18 08:38:24 -07:00
James Betker
37e4e737b5
a few fixes
2022-01-16 15:17:17 -07:00
James Betker
9100e7fa9b
Add a diffusion network that takes aligned text instead of MELs
2022-01-15 17:28:02 -07:00
James Betker
009a1e8404
Add a new diffusion_vocoder that should be trainable faster
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This new one has a "cheating" top layer, that does not feed down into the unet encoder,
but does consume the outputs of the unet. This cheater only operates on half of the input,
while the rest of the unet operates on the full input. This limits the dimensionality of this last
layer, on the assumption that these last layers consume by far the most computation and memory,
but do not require the full input context.
Losses are only computed on half of the aggregate input.
2022-01-11 17:26:07 -07:00
James Betker
91f28580e2
fix unified_voice
2022-01-10 16:17:31 -07:00
James Betker
136744dc1d
Fixes
2022-01-10 14:32:04 -07:00
James Betker
ee3dfac2ae
unified_voice2: decouple positional embeddings and token embeddings from underlying gpt model
2022-01-10 08:14:41 -07:00
James Betker
f503d8d96b
Partially implement performers in transformer_builders
2022-01-09 22:35:03 -07:00
James Betker
ec456b6733
Revert unified_voice back to beginning
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I'll be doing my work within unified_voice2
2022-01-09 22:34:30 -07:00
James Betker
f474a7ac65
unified_voice2
2022-01-09 22:32:34 -07:00
James Betker
70b17da193
Alter unified_voice to use extensible transformer (still WIP)
2022-01-08 22:18:25 -07:00
James Betker
15d9517e26
Allow bi-directional clipping
2022-01-08 22:18:04 -07:00
James Betker
438dd9ed33
fix text-voice-clip bug
2022-01-08 08:55:00 -07:00
James Betker
34774f9948
unified_voice: begin decoupling from HF GPT
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I'd like to try some different (newer) transformer variants. The way to get
there is softly decoupling the transformer portion of this architecture
from GPT. This actually should be fairly easy.
2022-01-07 22:51:24 -07:00
James Betker
68090ac3e9
Finish up the text->voice clip model
2022-01-07 22:28:45 -07:00
James Betker
65ffe38fce
misc
2022-01-06 22:16:17 -07:00
James Betker
e7a705fe6e
Make gpt_asr_hf2 more efficient at inference
2022-01-06 10:27:10 -07:00
James Betker
525addffab
Unified: automatically clip inputs according to specified max length to improve inference time
2022-01-06 10:13:45 -07:00
James Betker
61cd351b71
update unified
2022-01-06 09:48:11 -07:00
James Betker
10fd1110be
Fix (?) use_gpt_tts for unified_voice
2022-01-05 20:09:31 -07:00
James Betker
3c4301f085
Remove dvae_arch_playground
2022-01-05 17:06:45 -07:00
James Betker
c584ba05ee
unified_voice improvements
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- Rename max_symbols_per_phrase to max_text_tokens
- Remove max_total_tokens (no longer necessary)
- Fix integration with MelEncoder
2022-01-05 17:03:53 -07:00
James Betker
38aba6f88d
Another dumdum fix
2022-01-04 15:18:25 -07:00
James Betker
963c6072bb
Add mel_encoder and solo embeddings to unified_voice
2022-01-04 15:15:58 -07:00
James Betker
2165124f19
Add GPT documentation
2022-01-01 21:00:07 -07:00
James Betker
2635412291
doh
2022-01-01 14:29:59 -07:00
James Betker
d4a6298658
more debugging
2022-01-01 14:25:27 -07:00
James Betker
d8111e0477
misc
2022-01-01 14:05:33 -07:00
James Betker
dc535b5358
better bounds
2022-01-01 14:05:22 -07:00
James Betker
fe9ea4e01a
auto-fix text_inputs too big
2022-01-01 13:25:47 -07:00
James Betker
bbacffb790
dataset improvements and fix to unified_voice_Bilevel
2022-01-01 00:16:30 -07:00
James Betker
eda753e776
Allow conditioning shuffling to be disabled
2021-12-31 23:32:08 -07:00
James Betker
9aa06542cd
Further reduce the complexity of the MEL encoder in GptAsrHf
2021-12-30 09:10:40 -07:00
James Betker
5ae7e0d9b0
Fix gapping bug in voice2voice clip
2021-12-29 14:44:46 -07:00
James Betker
b12f47b36d
Add some noise to voice_voice_clip
2021-12-29 13:56:30 -07:00
James Betker
b24a51f0aa
Check in speech2speech CLIP inference tool
2021-12-29 00:19:44 -07:00
James Betker
c1bef01dfa
GptAsrHf2 checkin
2021-12-28 20:48:38 -07:00
James Betker
07c2b9907c
Add voice2voice clip model
2021-12-28 16:18:12 -07:00
James Betker
a9ee5b624f
Simplify and conform gpt_asr_hf2
2021-12-28 11:54:33 -07:00
