James Betker
f78ce9d924
Get diffusion_dvae ready for prime time!
2021-09-16 22:43:10 -06:00
James Betker
6f48674647
Support diffusion models with extra return values & inference in diffusion_dvae
2021-09-16 10:53:46 -06:00
James Betker
0382660159
Get diffusion_dvae functional
2021-09-14 17:43:31 -06:00
James Betker
73b930c0f6
Add diffusion_dvae
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Increase split_on_silence interval
2021-09-09 16:22:05 -06:00
James Betker
b8f2e0f452
mydvae
2021-09-06 17:45:30 -06:00
James Betker
3e073cff85
Set kernel_size in diffusion_vocoder
2021-09-01 08:33:46 -06:00
James Betker
dabd87246d
Add unet_diffusion_vocoder
2021-08-31 14:38:33 -06:00
James Betker
398185e109
More work on wave-diffusion
2021-07-27 05:36:17 -06:00
James Betker
96e90e7047
Add support for a gaussian-diffusion-based wave tacotron
2021-07-26 16:27:31 -06:00
James Betker
afa41f1804
Allow hq color jittering and corruptions that are not included in the corruption factor
2021-06-30 09:44:46 -06:00
James Betker
6fd16ea9c8
Add meta-anomaly detection, colorjitter augmentation
2021-06-29 13:41:55 -06:00
James Betker
46e9f62be0
Add unet with latent guide
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This is a diffusion network that uses both a LQ image
and a reference sample HQ image that is compressed into
a latent vector to perform upsampling
The hope is that we can steer the upsampling network
with sample images.
2021-06-26 11:02:58 -06:00
James Betker
0ded106562
Merge remote-tracking branch 'origin/master'
2021-06-25 13:16:28 -06:00
James Betker
a0ef07ddb8
Create unet_latent_guide.py
2021-06-25 11:25:14 -06:00
James Betker
e7890dc0ba
Misc fixes for diffusion nets
2021-06-21 10:38:07 -06:00
James Betker
6c6e82406e
Pass a corruption factor through the dataset into the upsampling network
...
The intuition is this will help guide the network to make better informed decisions
about how it performs upsampling based on how it perceives the underlying content.
(I'm giving up on letting networks detect their own quality - I'm not convinced it is
actually feasible)
2021-06-07 09:13:54 -06:00
James Betker
692e9c417b
Support diffusion unet
2021-06-06 13:57:22 -06:00
James Betker
75567a9814
Only head norm removed
2021-06-05 23:29:11 -06:00
James Betker
65d0376b90
Re-add normalization at the tail of the RRDB
2021-06-05 23:04:05 -06:00
James Betker
184e887122
Remove rrdb normalization
2021-06-05 21:39:19 -06:00
James Betker
80d4404367
A few fixes:
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- Output better prediction of xstart from eps
- Support LossAwareSampler
- Support AdamW
2021-06-05 13:40:32 -06:00
James Betker
bf811f80c1
GD mods & fixes
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- Report variational loss separately
- Report model prediction from injector
- Log these things
- Use respacing like guided diffusion
2021-06-04 17:13:16 -06:00
James Betker
6084915af8
Support gaussian diffusion models
...
Adds support for GD models, courtesy of some maths from openai.
Also:
- Fixes requirement for eval{} even when it isn't being used
- Adds support for denormalizing an imagenet norm
2021-06-02 21:47:32 -06:00
