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aljaz/DALLE2-pytorch
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mirror of https://github.com/lucidrains/DALLE2-pytorch.git synced 2025-12-19 17:54:20 +01:00
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335 Commits 2 Branches 353 Tags
022c94e4435d8829139c5fd39054e91b0cd3c096
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8 Commits

Author SHA1 Message Date
Phil Wang
bb86ab2404 update sample, and set default gradient clipping value for decoder training 2022-05-16 17:38:30 -07:00
Phil Wang
c7ea8748db default decoder learning rate to what was in the paper 2022-05-16 13:33:54 -07:00
Phil Wang
13382885d9 final update to dalle2 repository for a while - sampling from prior in chunks automatically with max_batch_size keyword given 2022-05-16 12:57:31 -07:00
Phil Wang
164d9be444 use a decorator and take care of sampling in chunks (max_batch_size keyword), in case one is sampling a huge grid of images 2022-05-16 12:34:28 -07:00
Phil Wang
89ff04cfe2 final tweak to EMA class 2022-05-16 11:54:34 -07:00
Phil Wang
f4016f6302 allow for overriding use of EMA during sampling in decoder trainer with use_non_ema keyword, also fix some issues with automatic normalization of images and low res conditioning image if latent diffusion is in play 2022-05-16 11:18:30 -07:00
Phil Wang
dab106d4e5 back to no_grad for now, also keep track and restore unet devices in one_unet_in_gpu contextmanager 2022-05-16 09:36:14 -07:00
Phil Wang
bb151ca6b1 unet_number on decoder trainer only needs to be passed in if there is greater than 1 unet, so that unconditional training of a single ddpm is seamless (experiment in progress locally) 2022-05-16 09:17:17 -07:00
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