Commit Graph

398 Commits

Author SHA1 Message Date
Phil Wang
fbba0f9aaf bring in prediction of v objective, combining the findings from progressive distillation paper and imagen-video to the eventual extension of dalle2 to make-a-video 2022-10-28 18:21:07 -07:00
Romain Beaumont
9f37705d87 Add static graph param (#226)
* Add static graph param

* use static graph param
2022-10-25 19:31:29 +02:00
Phil Wang
c3df46e374 fix openclipadapter to be able to use latest open sourced sota model 2022-10-23 15:12:09 -07:00
Phil Wang
41fabf2922 fix a dtype conversion issue for the diffusion timesteps in the diffusion prior, thanks to @JiaHeng-DLUT 2022-10-19 09:26:06 -07:00
Heng Jia
5975e8222b Fix assert message (#253) 2022-10-18 08:50:59 -07:00
Phil Wang
c18c080128 fix for use with larger openai clip models by extracting dimension of last layernorm in clip 2022-09-29 09:09:47 -07:00
Phil Wang
d0c11b30b0 handle open clip adapter image size being a tuple 2022-09-19 10:27:14 -07:00
Phil Wang
0d82dff9c5 in ddim, noise should be predicted after x0 is maybe clipped, thanks to @lukovnikov for pointing this out in another repository 2022-09-01 09:40:47 -07:00
Phil Wang
8bbc956ff1 fix bug with misnamed variable in diffusion prior network 2022-08-31 17:19:05 -07:00
Phil Wang
6fb7e91343 fix ddim to use alpha_cumprod 2022-08-31 07:40:46 -07:00
Phil Wang
ba58ae0bf2 add two asserts to diffusion prior to ensure matching image embedding dimensions for clip, diffusion prior network, and what was set on diffusion prior 2022-08-28 10:11:37 -07:00
Phil Wang
1cc5d0afa7 upgrade to best downsample 2022-08-25 10:37:02 -07:00
Phil Wang
59fa101c4d fix classifier free guidance for diffusion prior, thanks to @jaykim9870 for spotting the issue 2022-08-23 08:29:01 -07:00
Aidan
cbaadb6931 Fixed issues with clip and deepspeed fp16
Also more more general compatibility fixes
2022-08-20 17:58:32 +00:00
Phil Wang
083508ff8e cast attention matrix back to original dtype pre-softmax in attention 2022-08-20 10:56:01 -07:00
Phil Wang
7762edd0ff make it work for @ethancohen123 2022-08-19 11:28:58 -07:00
Phil Wang
27f19ba7fa make sure diffusion prior trainer can operate with no warmup 2022-08-15 14:27:40 -07:00
Phil Wang
8f38339c2b give diffusion prior trainer cosine annealing lr too 2022-08-15 07:38:01 -07:00
Phil Wang
6b9b4b9e5e add cosine annealing lr schedule 2022-08-15 07:29:56 -07:00
Phil Wang
44e09d5a4d add weight standardization behind feature flag, which may potentially work well with group norm 2022-08-14 11:34:45 -07:00
Phil Wang
34806663e3 make it so diffusion prior p_sample_loop returns unnormalized image embeddings 2022-08-13 10:03:40 -07:00
Phil Wang
dc816b1b6e dry up some code around handling unet outputs with learned variance 2022-08-12 15:25:03 -07:00
Phil Wang
05192ffac4 fix self conditioning shape in diffusion prior 2022-08-12 12:30:03 -07:00
Phil Wang
9440411954 make self conditioning technique work with diffusion prior 2022-08-12 12:20:51 -07:00
Phil Wang
981d407792 comment 2022-08-12 11:41:23 -07:00
Phil Wang
7c5477b26d bet on the new self-conditioning technique out of geoffrey hintons group 2022-08-12 11:36:08 -07:00
Phil Wang
be3bb868bf add gradient checkpointing for all resnet blocks 2022-08-02 19:21:44 -07:00
Phil Wang
451de34871 enforce clip anytorch version 2022-07-30 10:07:55 -07:00
Phil Wang
f22e8c8741 make open clip available for use with dalle2 pytorch 2022-07-30 09:02:31 -07:00
Phil Wang
87432e93ad quick fix for linear attention 2022-07-29 13:17:12 -07:00
Phil Wang
d167378401 add cosine sim for self attention as well, as a setting 2022-07-29 12:48:20 -07:00
Phil Wang
2d67d5821e change up epsilon in layernorm the case of using fp16, thanks to @Veldrovive for figuring out this stabilizes training 2022-07-29 12:41:02 -07:00
Phil Wang
748c7fe7af allow for cosine sim cross attention, modify linear attention in attempt to resolve issue on fp16 2022-07-29 11:12:18 -07:00
Phil Wang
80046334ad make sure entire readme runs without errors 2022-07-28 10:17:43 -07:00
Phil Wang
36fb46a95e fix readme and a small bug in DALLE2 class 2022-07-28 08:33:51 -07:00
Phil Wang
07abfcf45b rescale values in linear attention to mitigate overflows in fp16 setting 2022-07-27 12:27:38 -07:00
Phil Wang
406e75043f add upsample combiner feature for the unets 2022-07-26 10:46:04 -07:00
Phil Wang
9646dfc0e6 fix path_or_state bug 2022-07-26 09:47:54 -07:00
Phil Wang
62043acb2f fix repaint 2022-07-24 15:29:06 -07:00
Phil Wang
417ff808e6 1.0.3 2022-07-22 13:16:57 -07:00
Aidan Dempster
f3d7e226ba Changed types to be generic instead of functions (#215)
This allows pylance to do proper type hinting and makes developing
extensions to the package much easier
2022-07-22 13:16:29 -07:00
Phil Wang
48a1302428 1.0.2 2022-07-20 23:01:51 -07:00
Aidan Dempster
ccaa46b81b Re-introduced change that was accidentally rolled back (#212) 2022-07-20 23:01:19 -07:00
Phil Wang
76d08498cc diffusion prior training updates from @nousr 2022-07-20 18:05:27 -07:00
zion
f9423d308b Prior updates (#211)
* update configs for prior

add prior warmup to config

update example prior config

* update prior trainer & script

add deepspeed amp & warmup

adopt full accelerator support

reload at sample point

finish epoch resume code

* update tracker save method for prior

* helper functions for prior_loader
2022-07-20 18:04:26 -07:00
Phil Wang
06c65b60d2 1.0.0 2022-07-19 19:08:17 -07:00
Aidan Dempster
4145474bab Improved upsampler training (#181)
Sampling is now possible without the first decoder unet

Non-training unets are deleted in the decoder trainer since they are never used and it is harder merge the models is they have keys in this state dict

Fixed a mistake where clip was not re-added after saving
2022-07-19 19:07:50 -07:00
Phil Wang
4b912a38c6 0.26.2 2022-07-19 17:50:36 -07:00
Aidan Dempster
f97e55ec6b Quality of life improvements for tracker savers (#210)
The default save location is now none so if keys are not specified the
corresponding checkpoint type is not saved.

Models and checkpoints are now both saved with version number and the
config used to create them in order to simplify loading.

Documentation was fixed to be in line with current usage.
2022-07-19 17:50:18 -07:00
Phil Wang
291377bb9c @jacobwjs reports dynamic thresholding works very well and 0.95 is a better value 2022-07-19 11:31:56 -07:00