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huggingface / open-muse

Open reproduction of MUSE for fast text2image generation.
https://huggingface.co/openMUSE
Apache License 2.0
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Attention mask? #88

Open pcuenca opened 1 year ago

pcuenca commented 1 year ago

Like in Stable Diffusion, no attention mask appears to be used for input tokens: https://github.com/huggingface/open-muse/blob/2a0365707c0c3d91b0b91bc456161db693652ff1/muse/pipeline_muse.py#L93-L101

But according to third party analysis this appears to have been a mistake all along. Do we have insight on whether attention masks would help for better prompt-image alignment?

Birch-san commented 1 year ago

these authors reckon it's better to train on an unmasked text embeddings (even though that risks learning from PAD token embeddings):
https://github.com/huggingface/diffusers/issues/1890#issuecomment-1597564866

as for inference: the user needs to be able to match whatever approach was used during training.

I thought Muse was a bit wackier though. it actually masks vision tokens:

https://github.com/lucidrains/muse-maskgit-pytorch/