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DALLE2-pytorch
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4d25976f332bb47f4d23989ed42f2e13d9c08980
DALLE2-pytorch
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dalle2_pytorch
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Phil Wang
4d25976f33
make sure non-latent diffusion still works
2022-04-26 08:36:00 -07:00
..
data
bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm
2022-04-12 09:23:17 -07:00
__init__.py
refactor blurring training augmentation to be taken care of by the decoder, with option to downsample to previous resolution before upsampling (cascading ddpm). this opens up the possibility of cascading latent ddpm
2022-04-22 11:09:17 -07:00
attention.py
start a file for all attention-related modules, use attention-based upsampling in the unets in dalle-2
2022-04-25 18:59:10 -07:00
cli.py
some outlines to the eventual CLI endpoint
2022-04-24 09:27:15 -07:00
dalle2_pytorch.py
make sure non-latent diffusion still works
2022-04-26 08:36:00 -07:00
tokenizer.py
bring in the simple tokenizer released by openai, but also plan on leaving room for custom tokenizer with yttm
2022-04-12 09:23:17 -07:00
train.py
bring in the exponential moving average wrapper, to get ready for training
2022-04-25 19:24:13 -07:00
vqgan_vae.py
revert back to old upsampling, paper does not work
2022-04-26 07:39:04 -07:00