Phil Wang
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ecf9e8027d
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make sure classifier free guidance is used only if conditional dropout is present on the DiffusionPrior and Decoder classes. also make sure prior can have a different conditional scale than decoder
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2022-05-15 19:09:38 -07:00 |
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Phil Wang
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36c5079bd7
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LazyLinear is not mature, make users pass in text_embed_dim if text conditioning is turned on
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2022-05-15 18:56:52 -07:00 |
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Phil Wang
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4a4c7ac9e6
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cond drop prob for diffusion prior network should default to 0
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2022-05-15 18:47:45 -07:00 |
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Phil Wang
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11d4e11f10
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allow for training unconditional ddpm or cascading ddpms
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2022-05-15 16:54:56 -07:00 |
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Phil Wang
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156fe5ed9f
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final cleanup for the day
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2022-05-15 12:38:41 -07:00 |
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Phil Wang
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ff3474f05c
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normalize conditioning tokens outside of cross attention blocks
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2022-05-14 14:23:52 -07:00 |
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Phil Wang
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d1f02e8f49
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always use sandwich norm for attention layer
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2022-05-14 12:13:41 -07:00 |
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Phil Wang
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9faab59b23
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use post-attn-branch layernorm in attempt to stabilize cross attention conditioning in decoder
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2022-05-14 11:58:09 -07:00 |
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Phil Wang
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5d27029e98
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make sure lowres conditioning image is properly normalized to -1 to 1 for cascading ddpm
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2022-05-14 01:23:54 -07:00 |
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Phil Wang
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3115fa17b3
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fix everything around normalizing images to -1 to 1 for ddpm training automatically
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2022-05-14 01:17:11 -07:00 |
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Phil Wang
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124d8577c8
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move the inverse normalization function called before image embeddings are derived from clip to within the diffusion prior and decoder classes
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2022-05-14 00:37:52 -07:00 |
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Phil Wang
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2db0c9794c
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comments
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2022-05-12 14:25:20 -07:00 |
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Phil Wang
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2277b47ffd
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make sure learned variance can work for any number of unets in the decoder, defaults to first unet, as suggested was used in the paper
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2022-05-12 14:18:15 -07:00 |
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Phil Wang
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28b58e568c
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cleanup in preparation of option for learned variance
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2022-05-12 12:04:52 -07:00 |
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Phil Wang
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6021945fc8
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default to l2 loss
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2022-05-11 19:24:51 -07:00 |
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Phil Wang
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3dda2570ed
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fix amp issue for https://github.com/lucidrains/DALLE2-pytorch/issues/82
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2022-05-11 08:21:39 -07:00 |
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Phil Wang
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2f3c02dba8
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numerical accuracy for noise schedule parameters
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2022-05-10 15:28:46 -07:00 |
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Phil Wang
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908088cfea
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wrap up cross embed layer feature
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2022-05-10 12:19:34 -07:00 |
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Phil Wang
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35f89556ba
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bring in the cross embed layer from Crossformer paper for initial convolution in unet
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2022-05-10 11:50:38 -07:00 |
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Phil Wang
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fc8fce38fb
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make sure cascading DDPM can be trained unconditionally, to ready for CLI one command training for the public
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2022-05-10 10:48:10 -07:00 |
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Phil Wang
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b1e7b5f6bb
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make sure resnet groups in unet is finely customizable
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2022-05-10 10:12:50 -07:00 |
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Phil Wang
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9b322ea634
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patch
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2022-05-09 19:46:19 -07:00 |
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Phil Wang
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64f7be1926
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some cleanup
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2022-05-09 16:50:21 -07:00 |
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Phil Wang
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db805e73e1
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fix a bug with numerical stability in attention, sorry! 🐛
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2022-05-09 16:23:37 -07:00 |
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Phil Wang
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e46eaec817
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deal the diffusion prior problem yet another blow
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2022-05-09 11:08:52 -07:00 |
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Kumar R
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8647cb5e76
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Val loss changes, with quite a few other changes. This is in place of the earlier PR(https://github.com/lucidrains/DALLE2-pytorch/pull/67) (#77)
* Val_loss changes - no rebased with lucidrains' master.
* Val Loss changes - now rebased with lucidrains' master
* train_diffusion_prior.py updates
* dalle2_pytorch.py updates
* __init__.py changes
* Update train_diffusion_prior.py
* Update dalle2_pytorch.py
* Update train_diffusion_prior.py
* Update train_diffusion_prior.py
* Update dalle2_pytorch.py
* Update train_diffusion_prior.py
* Update train_diffusion_prior.py
* Update train_diffusion_prior.py
* Update train_diffusion_prior.py
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
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2022-05-09 08:53:29 -07:00 |
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Phil Wang
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53c189e46a
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give more surface area for attention in diffusion prior
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2022-05-09 08:08:11 -07:00 |
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Phil Wang
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dde51fd362
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revert restriction for classifier free guidance for diffusion prior, given @crowsonkb advice
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2022-05-07 20:55:41 -07:00 |
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Phil Wang
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4010aec033
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turn off classifier free guidance if predicting x_start for diffusion prior
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2022-05-07 09:38:17 -07:00 |
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Phil Wang
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830afd3c15
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sinusoidal embed time embeddings for diffusion prior as well, for continuous version
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2022-05-07 08:32:43 -07:00 |
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Phil Wang
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8f93729d19
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when in doubt, make it a hyperparameter
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2022-05-07 07:52:17 -07:00 |
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Phil Wang
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85ed77d512
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fix a potentially huge bug thanks to @CiaoHe https://github.com/lucidrains/DALLE2-pytorch/issues/71
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2022-05-07 05:05:54 -07:00 |
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Phil Wang
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28e944f328
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make sure openai clip adapter outputs l2normed embeddings
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2022-05-06 10:12:03 -07:00 |
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Phil Wang
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14e63a3f67
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also offer l2norm clamping in diffusion prior during training, if one were using predict x0 objective
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2022-05-06 10:05:14 -07:00 |
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Phil Wang
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ad20a14a4d
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bring in rotary embeddings for diffusion prior causal transformer (the most powerful relative positional encoding, used in PaLM) - 0.1.0 because of breaking change
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2022-05-06 08:45:30 -07:00 |
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Phil Wang
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0be1e0d64c
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support CoCa, which seems to be better than CLIP (has an autoregressive text encoder) https://arxiv.org/abs/2205.01917
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2022-05-06 08:27:12 -07:00 |
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Phil Wang
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98df1ba51e
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add diffusion prior trainer, which automatically takes care of the exponential moving average (training and sampling), as well as mixed precision, gradient clipping
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2022-05-06 08:11:09 -07:00 |
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Phil Wang
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878b555ef7
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fix training with clip
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2022-05-06 07:37:57 -07:00 |
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Phil Wang
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c76a964fd6
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allow for CLIP to be optional in Decoder, and allow DecoderTrainer to work off training pre-encoded image embeddings
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2022-05-05 08:11:01 -07:00 |
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Phil Wang
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8518684ae9
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does not make much sense, as researchers may want to try predicting noise with diffusionprior instead of predicting x0
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2022-05-05 07:37:00 -07:00 |
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Phil Wang
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1d5dc08810
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take @crowsonkb 's suggestion at https://github.com/lucidrains/DALLE2-pytorch/issues/60#issue-1226116132
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2022-05-05 07:28:53 -07:00 |
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Phil Wang
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896f19786d
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remove convnext blocks, they are illsuited for generative work, validated by early experimental results at https://github.com/lucidrains/video-diffusion-pytorch
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2022-05-05 07:07:21 -07:00 |
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Phil Wang
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aec5575d09
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take a bet on resize right, given Katherine is using it
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2022-05-04 19:26:45 -07:00 |
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Phil Wang
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9773f10d6c
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use inference mode whenever possible, cleanup
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2022-05-04 15:25:05 -07:00 |
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Phil Wang
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86e692d24f
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fix random crop probability
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2022-05-04 11:52:24 -07:00 |
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Phil Wang
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97b751209f
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allow for last unet in the cascade to be trained on crops, if it is convolution-only
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2022-05-04 11:48:48 -07:00 |
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Phil Wang
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5b619c2fd5
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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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9ff228188b
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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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Phil Wang
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70282de23b
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add ability to turn on normformer settings, given @borisdayma reported good results and some personal anecdata
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2022-05-02 11:33:15 -07:00 |
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Phil Wang
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11469dc0c6
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makes more sense to keep this as True as default, for stability
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2022-05-02 10:50:55 -07:00 |
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