Phil Wang 3b520dfa85 bring in attention-based upsampling to strengthen vqgan-vae, seems to work as advertised in initial experiments in GAN

2022-04-25 17:27:45 -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

some outlines to the eventual CLI endpoint

2022-04-24 09:27:15 -07:00

dalle2_pytorch.py

better naming

2022-04-25 07:44:33 -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

bring in attention-based upsampling to strengthen vqgan-vae, seems to work as advertised in initial experiments in GAN

2022-04-25 17:27:45 -07:00