Phil Wang
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a6bf8ddef6
|
advertise laion
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2022-05-04 15:04:05 -07:00 |
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Phil Wang
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86e692d24f
|
fix random crop probability
0.0.98
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2022-05-04 11:52:24 -07:00 |
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Phil Wang
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97b751209f
|
allow for last unet in the cascade to be trained on crops, if it is convolution-only
0.0.97
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2022-05-04 11:48:48 -07:00 |
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Phil Wang
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74103fd8d6
|
product management
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2022-05-04 11:20:50 -07:00 |
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Phil Wang
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1992d25cad
|
project management
0.0.96
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2022-05-04 11:18:54 -07:00 |
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Phil Wang
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5b619c2fd5
|
make sure some hyperparameters for unet block is configurable
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2022-05-04 11:18:32 -07:00 |
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Phil Wang
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9359ad2e91
|
0.0.95
0.0.95
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2022-05-04 10:53:05 -07:00 |
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Phil Wang
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9ff228188b
|
offer old resnet blocks, from the original DDPM paper, just in case convnexts are unsuitable for generative work
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2022-05-04 10:52:58 -07:00 |
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Kumar R
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2d9963d30e
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Reporting metrics - Cosine similarity. (#55)
* Update train_diffusion_prior.py
* Delete train_diffusion_prior.py
* Cosine similarity logging.
* Update train_diffusion_prior.py
* Report Cosine metrics every N steps.
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2022-05-04 08:04:36 -07:00 |
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Phil Wang
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58d9b422f3
|
0.0.94
0.0.94
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2022-05-04 07:42:33 -07:00 |
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Ray Bell
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44b319cb57
|
add missing import (#56)
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2022-05-04 07:42:20 -07:00 |
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Phil Wang
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c30f380689
|
final reminder
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2022-05-03 08:18:53 -07:00 |
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Phil Wang
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e4e884bb8b
|
keep all doors open
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2022-05-03 08:17:02 -07:00 |
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Phil Wang
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803ad9c17d
|
product management again
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2022-05-03 08:15:25 -07:00 |
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Phil Wang
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a88dd6a9c0
|
todo
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2022-05-03 08:09:02 -07:00 |
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Kumar R
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72c16b496e
|
Update train_diffusion_prior.py (#53)
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2022-05-02 22:44:57 -07:00 |
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z
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81d83dd7f2
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defaults align with paper (#52)
Co-authored-by: nousr <>
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2022-05-02 13:52:11 -07:00 |
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Phil Wang
|
fa66f7e1e9
|
todo
|
2022-05-02 12:57:15 -07:00 |
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Phil Wang
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aa8d135245
|
allow laion to experiment with normformer in diffusion prior
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2022-05-02 11:35:00 -07:00 |
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Phil Wang
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70282de23b
|
add ability to turn on normformer settings, given @borisdayma reported good results and some personal anecdata
0.0.93
|
2022-05-02 11:33:15 -07:00 |
|
Phil Wang
|
83f761847e
|
todo
|
2022-05-02 10:52:39 -07:00 |
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Phil Wang
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11469dc0c6
|
makes more sense to keep this as True as default, for stability
0.0.92
|
2022-05-02 10:50:55 -07:00 |
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Romain Beaumont
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2d25c89f35
|
Fix passing of l2norm_output to DiffusionPriorNetwork (#51)
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2022-05-02 10:48:16 -07:00 |
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Phil Wang
|
3fe96c208a
|
add ability to train diffusion prior with l2norm on output image embed
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2022-05-02 09:53:20 -07:00 |
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Phil Wang
|
0fc6c9cdf3
|
provide option to l2norm the output of the diffusion prior
0.0.91
|
2022-05-02 09:41:03 -07:00 |
|
Phil Wang
|
7ee0ecc388
|
mixed precision for training diffusion prior + save optimizer and scaler states
|
2022-05-02 09:31:04 -07:00 |
|
Phil Wang
|
1924c7cc3d
|
fix issue with mixed precision and gradient clipping
0.0.90
|
2022-05-02 09:20:19 -07:00 |
|
Phil Wang
|
f7df3caaf3
|
address not calculating average eval / test loss when training diffusion prior https://github.com/lucidrains/DALLE2-pytorch/issues/49
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2022-05-02 08:51:41 -07:00 |
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Phil Wang
|
fc954ee788
|
fix calculation of adaptive weight for vit-vqgan, thanks to @CiaoHe
0.0.89
|
2022-05-02 07:58:14 -07:00 |
|
Phil Wang
|
c1db2753f5
|
todo
|
2022-05-01 18:02:30 -07:00 |
|
Phil Wang
|
ad87bfe28f
|
switch to using linear attention for the sparse attention layers within unet, given success in GAN projects
0.0.88
|
2022-05-01 17:59:03 -07:00 |
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Phil Wang
|
76c767b1ce
|
update deps, commit to using webdatasets, per @rom1504 consultation
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2022-05-01 12:22:15 -07:00 |
|
Phil Wang
|
d991b8c39c
|
just clip the diffusion prior network parameters
|
2022-05-01 12:01:08 -07:00 |
|
Phil Wang
|
902693e271
|
todo
|
2022-05-01 11:57:08 -07:00 |
|
Phil Wang
|
35cd63982d
|
add gradient clipping, make sure weight decay is configurable, make sure learning rate is actually passed into get_optimizer, make sure model is set to training mode at beginning of each epoch
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2022-05-01 11:55:38 -07:00 |
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Kumar R
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53ce6dfdf6
|
All changes implemented, current run happening. Link to wandb run in comments. (#43)
* Train DiffusionPrior with pre-computed embeddings
This is in response to https://github.com/lucidrains/DALLE2-pytorch/issues/29 - more metrics will get added.
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2022-05-01 11:46:59 -07:00 |
|
Phil Wang
|
ad8d7a368b
|
product management
|
2022-05-01 11:26:21 -07:00 |
|
Phil Wang
|
b8cf1e5c20
|
more attention
0.0.87
|
2022-05-01 11:00:33 -07:00 |
|
Phil Wang
|
94aaa08d97
|
product management
|
2022-05-01 09:43:10 -07:00 |
|
Phil Wang
|
8b9bbec7d1
|
project management
0.0.86
|
2022-05-01 09:32:57 -07:00 |
|
Phil Wang
|
1bb9fc9829
|
add convnext backbone for vqgan-vae, still need to fix groupnorms in resnet encdec
|
2022-05-01 09:32:24 -07:00 |
|
Phil Wang
|
5e421bd5bb
|
let researchers do the hyperparameter search
0.0.85
|
2022-05-01 08:46:21 -07:00 |
|
Phil Wang
|
67fcab1122
|
add MLP based time conditioning to all convnexts, in addition to cross attention. also add an initial convolution, given convnext first depthwise conv
0.0.84
|
2022-05-01 08:41:02 -07:00 |
|
Phil Wang
|
5bfbccda22
|
port over vqgan vae trainer
|
2022-05-01 08:09:15 -07:00 |
|
Phil Wang
|
989275ff59
|
product management
|
2022-04-30 16:57:56 -07:00 |
|
Phil Wang
|
56408f4a40
|
project management
|
2022-04-30 16:57:02 -07:00 |
|
Phil Wang
|
d1a697ac23
|
allows one to shortcut sampling at a specific unet number, if one were to be training in stages
|
2022-04-30 16:05:13 -07:00 |
|
Phil Wang
|
ebe01749ed
|
DecoderTrainer sample method uses the exponentially moving averaged
0.0.81
|
2022-04-30 14:55:34 -07:00 |
|
Phil Wang
|
63195cc2cb
|
allow for division of loss prior to scaling, for gradient accumulation purposes
0.0.80
|
2022-04-30 12:56:47 -07:00 |
|
Phil Wang
|
a2ef69af66
|
take care of mixed precision, and make gradient accumulation do-able externally
0.0.79
|
2022-04-30 12:27:24 -07:00 |
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