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aljaz
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DALLE2-pytorch
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f2d5b87677995828b22cb5ccdf3fb4dc01b7744e
DALLE2-pytorch
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dalle2_pytorch
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Phil Wang
461347c171
fix vqgan-vae for latent diffusion
2022-04-22 11:38:57 -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
cli.py
give time tokens a surface area of 2 tokens as default, make it so researcher can customize which unet actually is conditioned on image embeddings and/or text encodings
2022-04-20 10:04:47 -07:00
dalle2_pytorch.py
optional projection out for prior network causal transformer
2022-04-22 11:16:30 -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
get ready for all the training related classes and functions
2022-04-12 09:54:50 -07:00
vqgan_vae.py
fix vqgan-vae for latent diffusion
2022-04-22 11:38:57 -07:00