Comments (1)
Hello!
I've read the paper of MUSE, and I think the result is so amazing!
So I want to try this amazing model.
Can you release the official pretrained weight of vae and maskgit?
This isn’t the official implementation, so there aren’t any weights, however efforts are being made to try and train it
from muse-maskgit-pytorch.
Related Issues (20)
- Trained weights HOT 18
- AssertionError while trying to train with base_maskgit_trainer() after finished training with vae_trainer()
- Add support for logging and visualizing the loss and learning rate with tensorboard. HOT 2
- vae enc_dec configuration questions
- Can this repo be used to train MaskGIT as in the original publication? HOT 1
- assert return_loss ^ return_discr_loss, 'you should either return autoencoder loss or discriminator loss, but not both
- About Patch Size
- beartype error: unhashable type: 'list' HOT 1
- ValueError: You can only pass one `DistributedDataParallelKwargs` in `kwargs_handler`. HOT 2
- TypeError: isinstance() arg 2 must be a type or tuple of types HOT 3
- How to train the maskgit transformers (base model)?
- Would you like flash attention? HOT 9
- How to pass text embedding instead of text ?
- Better way to handle Classifier-free guidance with flash_attn HOT 5
- T5 bug? HOT 2
- A question about the use of parallel training
- Why scale used in Attention is 8 (while dim_head is 64)? If dim or dim_head are changed, should scale be changed automatically? HOT 1
- About the VQGAN
- Gumbel Sample HOT 4
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from muse-maskgit-pytorch.