 Phil Wang
|
dfbafee555
|
0.27.12
|
2022-10-05 13:50:54 -07:00 |
|
|
Phil Wang
|
6e8a0f2082
|
fix auto-conversion of images to mode in dataset
|
2022-09-20 19:29:35 -07:00 |
|
|
Phil Wang
|
8c36559295
|
0.27.10
|
2022-09-16 17:15:02 -07:00 |
|
|
Phil Wang
|
e0a1bed31a
|
0.27.9
|
2022-09-05 02:43:11 -07:00 |
|
|
Phil Wang
|
6dda508ff6
|
in ddim, clip x0 before calculation of predicted noise, thanks to @lukovnikov again for pointing out this inconsistency with glides implementation
|
2022-09-01 09:34:50 -07:00 |
|
|
Phil Wang
|
9ec8d27217
|
0.27.7
|
2022-08-31 07:36:19 -07:00 |
|
|
Phil Wang
|
c78709f887
|
0.27.6
|
2022-08-31 06:20:59 -07:00 |
|
|
Phil Wang
|
42158d6248
|
fix ddim, for issue https://github.com/lucidrains/denoising-diffusion-pytorch/issues/81
|
2022-08-30 20:30:29 -07:00 |
|
|
Phil Wang
|
d9275a744c
|
add weight standardization prior to groupnorm, lessen cosine sim attention scale to 10 for fp16
|
2022-08-17 11:42:54 -07:00 |
|
|
Phil Wang
|
beb2f2d8dd
|
add self conditioning for elucidated ddpm
|
2022-08-10 13:15:45 -07:00 |
|
|
Phil Wang
|
f0d59acdfd
|
fix sampling ddpm tqdm
|
2022-08-10 12:02:56 -07:00 |
|
|
Phil Wang
|
689593a579
|
add the new self conditioning technique from hintons group from bit diffusion paper
0.27.0
|
2022-08-10 10:52:07 -07:00 |
|
|
Phil Wang
|
eba44498d1
|
higher epsilon for fp16 in layernorm
|
2022-07-29 13:29:52 -07:00 |
|
|
Phil Wang
|
12f95b33d8
|
rescale values to prevent linear attention from overflowing in fp16 setting
|
2022-07-27 12:25:40 -07:00 |
|
|
Phil Wang
|
6b504c4ae9
|
fix accelerator prepare bug for dataloader
|
2022-07-25 08:13:46 -07:00 |
|
|
Phil Wang
|
37334ae824
|
fix a bug with ddim and predict x0 objective
|
2022-07-18 19:04:57 -07:00 |
|
|
Phil Wang
|
555566c188
|
take a gamble on cosine sim attention
|
2022-07-18 11:29:20 -07:00 |
|
|
Phil Wang
|
2b742dd2cc
|
move accelerator backward outside of autocast context, also calculate total loss correctly across gradient accumulated steps
|
2022-07-11 21:02:06 -07:00 |
|
|
Phil Wang
|
1345a8a41d
|
do not noise at the last timestep for ddim
|
2022-07-09 18:36:45 -07:00 |
|
|
Phil Wang
|
931a5af2c3
|
bring in ddim sampling
|
2022-07-09 16:10:23 -07:00 |
|
|
Phil Wang
|
a0c3443eaa
|
optimizer should be saved and loaded
|
2022-07-08 17:43:41 -07:00 |
|
|
Phil Wang
|
662172851b
|
add convert_image_to keyword argument, for forcing images being loaded to be converted to some format, greyscale, rgb, rgba, whatever
|
2022-07-08 09:22:59 -07:00 |
|
|
Phil Wang
|
0248b5e4d3
|
also make sure grad scaler actually exists in the saved pt file
|
2022-07-06 11:48:04 -07:00 |
|
|
Phil Wang
|
6b56af08a2
|
support multi-gpu training using huggingface accelerate, addressing https://github.com/lucidrains/denoising-diffusion-pytorch/pull/54
|
2022-07-06 11:45:56 -07:00 |
|
|
Phil Wang
|
d4420248f1
|
tqdm auto instead
|
2022-06-29 19:48:49 -07:00 |
|
|
Phil Wang
|
1b85379d3a
|
add clamping option to elucidated diffusion
|
2022-06-29 08:32:10 -07:00 |
|
|
Phil Wang
|
8859864f63
|
patch
|
2022-06-29 07:55:11 -07:00 |
|
|
Phil Wang
|
8408775cfc
|
fix bug in elucidating sampling
|
2022-06-28 17:52:02 -07:00 |
|
|
Phil Wang
|
86fcb6785b
|
release elucidating diffusion
|
2022-06-28 17:39:48 -07:00 |
|
|
Phil Wang
|
d26acbcae6
|
more skip connections, as in guided diffusion
|
2022-06-27 13:23:32 -07:00 |
|
|
Phil Wang
|
9939a48139
|
make sure all versions of torch supported
|
2022-06-23 12:28:09 -07:00 |
|
|
Phil Wang
|
75ea49a7ef
|
pass parameter for Trainer to EMA properly
|
2022-06-21 07:37:43 -07:00 |
|
|
Phil Wang
|
8c3609a6e3
|
move EMA logic out of the repository for clarity
|
2022-06-20 13:17:51 -07:00 |
|
|
Phil Wang
|
1586d1a8a0
|
just pluck the image size off the gaussian diffusion class
|
2022-06-17 13:54:41 -07:00 |
|
|
Phil Wang
|
b4fb8804d2
|
conditioning on final resnet block
|
2022-06-17 10:38:17 -07:00 |
|
|
Phil Wang
|
9fd05f1b1f
|
switch to learned sinsuoidal pos emb for the continuous case
|
2022-06-17 09:24:51 -07:00 |
|
|
Phil Wang
|
ec2397f0ba
|
add one more residual
|
2022-06-16 11:08:42 -07:00 |
|
|
Phil Wang
|
844e557dfb
|
fix a missing residual needed at the top most resolution in the unet
|
2022-06-15 19:10:05 -07:00 |
|
|
Phil Wang
|
8b30be8042
|
add p2 loss reweighting for default ddpm as an option
|
2022-06-14 10:49:13 -07:00 |
|
|
Phil Wang
|
ecc6f30901
|
for https://github.com/lucidrains/denoising-diffusion-pytorch/issues/36
|
2022-06-11 10:51:13 -07:00 |
|
|
Phil Wang
|
f900f40f14
|
allow for turning off horizontal flip augmentation
|
2022-06-09 20:59:59 -07:00 |
|
|
Phil Wang
|
479f60c178
|
add p2 loss weighting to SNR version of denoising diffusion, brought up by @Mut1nyJD, paper is https://arxiv.org/abs/2204.00227
|
2022-06-09 08:25:05 -07:00 |
|
|
Phil Wang
|
96bb2ff310
|
alpha cosine noise schedule is now working for continuous time gaussian diffusion
|
2022-06-08 23:07:01 -07:00 |
|
|
Phil Wang
|
582bfe275b
|
successfully did some basic math and clipped the predicted x0 intermediate for the continuous time case
|
2022-06-08 17:59:41 -07:00 |
|
|
Phil Wang
|
4284c8840d
|
clipping for continuous time diffusion not working
|
2022-06-08 16:26:18 -07:00 |
|
|
Phil Wang
|
c44d3ea01d
|
learned noise schedule seems to be working, allow for one to make the monotonic net learn a bit more slowly than the unet
|
2022-06-08 12:34:07 -07:00 |
|
|
Phil Wang
|
c4991f576f
|
allow for configuring the hidden dimension of the monotonic mlp parameterizing the noise schedule
|
2022-06-08 11:18:54 -07:00 |
|
|
Phil Wang
|
a19331aa59
|
fix learned noise schedule
|
2022-06-08 10:19:02 -07:00 |
|
|
Phil Wang
|
94eabaca1a
|
complete learned noise schedule for variational ddpm paper, still need to finish cosine alpha schedule in log(snr) form
|
2022-06-08 09:47:09 -07:00 |
|
|
Phil Wang
|
eaf9d9fdc4
|
unet needs to be conditioned on log(snr) in p_mean_variance for continuous time gaussian diffusion
|
2022-06-08 00:41:41 -07:00 |
|