Phil Wang
|
8cc9016cb0
|
Merge pull request #17 from kashif/patch-2
added diffusion-gan thoughts
|
2022-04-20 12:10:26 -07:00 |
|
Kashif Rasul
|
1d8f37befe
|
added diffusion-gan thoughts
https://github.com/NVlabs/denoising-diffusion-gan
|
2022-04-20 21:01:11 +02:00 |
|
Phil Wang
|
faebf4c8b8
|
from my vision transformer experience, dimension of attention head of 32 is sufficient for image feature maps
0.0.31
|
2022-04-20 11:40:32 -07:00 |
|
Phil Wang
|
b8e8d3c164
|
thoughts
|
2022-04-20 11:34:51 -07:00 |
|
Phil Wang
|
8e2416b49b
|
commit to generalizing latent diffusion to one model
|
2022-04-20 11:27:42 -07:00 |
|
Phil Wang
|
f37c26e856
|
cleanup and DRY a little
|
2022-04-20 10:56:32 -07:00 |
|
Phil Wang
|
27a33e1b20
|
complete contextmanager method for keeping only one unet in GPU during training or inference
0.0.28
|
2022-04-20 10:46:13 -07:00 |
|
Phil Wang
|
6f941a219a
|
give time tokens a surface area of 2 tokens as default, make it so researcher can customize which unet actually is conditioned on image embeddings and/or text encodings
0.0.27
|
2022-04-20 10:04:47 -07:00 |
|
Phil Wang
|
ddde8ca1bf
|
fix cosine bbeta schedule, thanks to @Zhengxinyang
0.0.26
|
2022-04-19 20:54:28 -07:00 |
|
Phil Wang
|
c26b77ad20
|
todo
|
2022-04-19 13:07:32 -07:00 |
|
Phil Wang
|
c5b4aab8e5
|
intent
|
2022-04-19 11:00:05 -07:00 |
|
Phil Wang
|
a35c309b5f
|
add sparse attention layers in between convnext blocks in unet (grid like attention, used in mobilevit, maxvit [bytedance ai], as well as a growing number of attention-based GANs)
0.0.25
|
2022-04-19 09:49:03 -07:00 |
|
Phil Wang
|
55bdcb98b9
|
scaffold for latent diffusion
|
2022-04-19 09:26:58 -07:00 |
|
Phil Wang
|
82328f16cd
|
same for text encodings for decoder ddpm training
0.0.24
|
2022-04-18 14:41:02 -07:00 |
|
Phil Wang
|
6fee4fce6e
|
also allow for image embedding to be passed into the diffusion model, in the case one wants to generate image embedding once and then train multiple unets in one iteration
0.0.23
|
2022-04-18 14:00:38 -07:00 |
|
Phil Wang
|
a54e309269
|
prioritize todos, play project management
|
2022-04-18 13:28:01 -07:00 |
|
Phil Wang
|
c6bfd7fdc8
|
readme
|
2022-04-18 12:43:10 -07:00 |
|
Phil Wang
|
960a79857b
|
use some magic just this once to remove the need for researchers to think
0.0.22
|
2022-04-18 12:40:43 -07:00 |
|
Phil Wang
|
7214df472d
|
todo
|
2022-04-18 12:18:19 -07:00 |
|
Phil Wang
|
00ae50999b
|
make kernel size and sigma for gaussian blur for cascading DDPM overridable at forward. also make sure unets are wrapped in a modulelist so that at sample time, blurring does not happen
|
2022-04-18 12:04:31 -07:00 |
|
Phil Wang
|
6cddefad26
|
readme
|
2022-04-18 11:52:25 -07:00 |
|
Phil Wang
|
0332eaa6ff
|
complete first pass at full cascading DDPM setup in Decoder, flexible enough to support one unet for testing
0.0.20
|
2022-04-18 11:44:56 -07:00 |
|
Phil Wang
|
1cce4225eb
|
0.0.18
0.0.18
|
2022-04-17 07:29:34 -07:00 |
|
Phil Wang
|
5ab0700bab
|
Merge pull request #14 from kashif/loss-schedule
added huber loss and other schedulers
|
2022-04-17 07:29:10 -07:00 |
|
Kashif Rasul
|
b0f2fbaa95
|
schedule to Prior
|
2022-04-17 15:21:47 +02:00 |
|
Kashif Rasul
|
51361c2d15
|
added beta_schedule argument
|
2022-04-17 15:19:33 +02:00 |
|
Kashif Rasul
|
42d6e47387
|
added huber loss and other schedulers
|
2022-04-17 15:14:05 +02:00 |
|
Phil Wang
|
1e939153fb
|
link to AssemblyAI explanation
|
2022-04-15 12:58:57 -07:00 |
|
Phil Wang
|
1abeb8918e
|
personal project management for next week
|
2022-04-15 08:04:01 -07:00 |
|
Phil Wang
|
b423855483
|
commit to jax version
|
2022-04-15 07:16:25 -07:00 |
|
Phil Wang
|
c400d8758c
|
prepare for cascading diffusion in unet, save the full progressive upsampling architecture to be built next week
0.0.17
|
2022-04-15 07:03:28 -07:00 |
|
Phil Wang
|
bece206699
|
fix bug thanks to @jihoonerd
|
2022-04-15 06:44:40 -07:00 |
|
Phil Wang
|
5b4ee09625
|
ideation
|
2022-04-14 13:48:01 -07:00 |
|
Phil Wang
|
6e27f617f1
|
use t5 relative positional bias in prior network causal transformer, since it makes more sense than rotary embeddings
0.0.15
|
2022-04-14 12:01:09 -07:00 |
|
Phil Wang
|
9f55c24db6
|
allow for decoder conditioning with the text encodings from CLIP, if it is passed in. use lazy linear to avoid researchers having to worry about text encoding dimensions, but remove later if it does not work well
0.0.14
|
2022-04-14 11:46:45 -07:00 |
|
Phil Wang
|
69e822b7f8
|
"project management"
|
2022-04-14 10:20:37 -07:00 |
|
Phil Wang
|
23c401a5d5
|
use the eval decorator
0.0.12
|
2022-04-14 10:13:43 -07:00 |
|
Phil Wang
|
68e9883f59
|
use cross attention for conditioning unet based on image embedding tokens (which opens up the door on conditioning on text encodings as well
0.0.11
|
2022-04-14 10:10:04 -07:00 |
|
Phil Wang
|
95b018374a
|
start using swish glu everywhere, given success of PaLM
0.0.10
|
2022-04-14 09:34:32 -07:00 |
|
Phil Wang
|
8b5c2385b0
|
better naming
|
2022-04-14 09:24:31 -07:00 |
|
Phil Wang
|
f2c52d8239
|
fix bug with classifier free guidance for prior network, even though it seems it may not be used
0.0.9
|
2022-04-14 09:21:51 -07:00 |
|
Phil Wang
|
97e951221b
|
bring in blur, as it will be used somewhere in the cascading DDPM in the decoder eventually, once i figure it out
|
2022-04-14 09:16:09 -07:00 |
|
Phil Wang
|
e1b0c140f1
|
cleanup readme
|
2022-04-14 08:51:22 -07:00 |
|
Phil Wang
|
5989569a44
|
link to OpenCLIP effort
|
2022-04-14 08:31:15 -07:00 |
|
Phil Wang
|
82464d7bd3
|
per-fect
|
2022-04-14 08:30:07 -07:00 |
|
Phil Wang
|
7fb3f695d5
|
offer continuously parameterized time embedding for diffusion prior network, remove a hyperparameter that may trip up people, if not set correctly
0.0.8
|
2022-04-14 08:28:11 -07:00 |
|
Phil Wang
|
7e93b9d3c8
|
make sure classifier free guidance condition scaling is exposed on DALLE2 forward function
0.0.7
|
2022-04-13 20:14:28 -07:00 |
|
Phil Wang
|
4c827ba94f
|
typo
|
2022-04-13 19:01:03 -07:00 |
|
Phil Wang
|
cb3923a90f
|
readme tweak
|
2022-04-13 18:43:34 -07:00 |
|
Phil Wang
|
cc30676a3f
|
lengthen todo
|
2022-04-13 18:34:09 -07:00 |
|