Phil Wang c76a964fd6 allow for CLIP to be optional in Decoder, and allow DecoderTrainer to work off training pre-encoded image embeddings

2022-05-05 08:11:01 -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

dataloaders

Add a dataloader for training the decoder (#57)

2022-05-05 07:08:45 -07:00

__init__.py

simplify Decoder training for the public

2022-04-30 11:45:18 -07:00

cli.py

add missing import (#56)

2022-05-04 07:42:20 -07:00

dalle2_pytorch.py

allow for CLIP to be optional in Decoder, and allow DecoderTrainer to work off training pre-encoded image embeddings

2022-05-05 08:11:01 -07:00

optimizer.py

now completely OpenAI CLIP compatible for training

2022-04-29 13:05:01 -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_vqgan_vae.py

port over vqgan vae trainer

2022-05-01 08:09:15 -07:00

train.py

fix issue with mixed precision and gradient clipping

2022-05-02 09:20:19 -07:00

vqgan_vae.py

remove convnext blocks, they are illsuited for generative work, validated by early experimental results at https://github.com/lucidrains/video-diffusion-pytorch

2022-05-05 07:07:21 -07:00