Phil Wang 7f338319fd makes more sense for blur augmentation to happen before the upsampling

2022-04-22 11:10:47 -07:00

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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

makes more sense for blur augmentation to happen before the upsampling

2022-04-22 11:10:47 -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

prepare for latent diffusion in the first DDPM of the cascade in the Decoder

2022-04-21 17:54:31 -07:00