mrq/DL-Art-School
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8 Commits

Author SHA1 Message Date
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: 
- 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 
- 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