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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Phil Wang
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0fc6c9cdf3
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provide option to l2norm the output of the diffusion prior
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2022-05-02 09:41:03 -07:00 |
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Phil Wang
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ad87bfe28f
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switch to using linear attention for the sparse attention layers within unet, given success in GAN projects
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2022-05-01 17:59:03 -07:00 |
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Phil Wang
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b8cf1e5c20
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more attention
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2022-05-01 11:00:33 -07:00 |
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Phil Wang
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5e421bd5bb
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let researchers do the hyperparameter search
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2022-05-01 08:46:21 -07:00 |
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Phil Wang
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67fcab1122
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add MLP based time conditioning to all convnexts, in addition to cross attention. also add an initial convolution, given convnext first depthwise conv
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2022-05-01 08:41:02 -07:00 |
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Phil Wang
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d1a697ac23
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allows one to shortcut sampling at a specific unet number, if one were to be training in stages
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2022-04-30 16:05:13 -07:00 |
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Phil Wang
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a9421f49ec
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simplify Decoder training for the public
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2022-04-30 11:45:18 -07:00 |
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Phil Wang
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77fa34eae9
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fix all clipping / clamping issues
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2022-04-30 10:08:24 -07:00 |
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Phil Wang
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1c1e508369
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fix all issues with text encodings conditioning in the decoder, using null padding tokens technique from dalle v1
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2022-04-30 09:13:34 -07:00 |
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Phil Wang
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f19c99ecb0
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fix decoder needing separate conditional dropping probabilities for image embeddings and text encodings, thanks to @xiankgx !
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2022-04-30 08:48:05 -07:00 |
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Phil Wang
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20e7eb5a9b
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cleanup
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2022-04-30 07:22:57 -07:00 |
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Phil Wang
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e2f9615afa
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use @clip-anytorch , thanks to @rom1504
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2022-04-30 06:40:54 -07:00 |
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Phil Wang
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0d1c07c803
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fix a bug with classifier free guidance, thanks to @xiankgx again!
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2022-04-30 06:34:57 -07:00 |
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Phil Wang
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5063d192b6
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now completely OpenAI CLIP compatible for training
just take care of the logic for AdamW and transformers
used namedtuples for clip adapter embedding outputs
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2022-04-29 13:05:01 -07:00 |
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Phil Wang
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fb662a62f3
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fix another bug thanks to @xiankgx
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2022-04-29 07:38:32 -07:00 |
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Phil Wang
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587c8c9b44
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optimize for clarity
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2022-04-28 21:59:13 -07:00 |
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Phil Wang
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aa900213e7
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force first unet in the cascade to be conditioned on image embeds
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2022-04-28 20:53:15 -07:00 |
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Phil Wang
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625ce23f6b
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🐛
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2022-04-28 07:21:18 -07:00 |
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