Comments (1)
Hi there, thanks for checking out our code!
- The essential code for the transformer is defined by the class
GPT
attaming/modules/transformer/mingpt.py
(which is basically the model implemented here) and trained via the pytorch-lightning moduleNet2NetTransformer
intaming/models/transformer/cond_transformer.py
. - The pl-module defining the VQGAN is
VQModel
intaming/models/vqgan.py
Let us know if this does not answer your question.
from taming-transformers.
Related Issues (20)
- How to do image inpainting with vqgan?
- How to train the transformer after training the vqgan model? HOT 9
- If my condition is class label, how to set config file
- Cannot use gpu to fine-tune on custom-data HOT 2
- gpu training hangs HOT 2
- Where is the model trained on my custom data? HOT 1
- When I train, the code is getting slower and slower, is it normal? HOT 1
- README Error -- yaml path
- Dockerfile/environment.yaml for CUDA Version 12.3? HOT 5
- 'VQModel' object has no attribute 'transformer'
- How to train your own Transformer
- How to distinguish sos token(default = 0) and quantified image token zero ?
- How to use the sliding attention window mechanism? HOT 3
- Is there a plan to upgrade this repo to Pytorch 2.0
- ModuleNotFoundError: No module named 'cutlit'
- ncc HOT 1
- Confusion about the dimension of latent vectors
- generate white images during training HOT 1
- : Parameter indices which did not receive grad for rank 0: 338 339 340 341 342 343 344 345 346 347 348 349 350 HOT 3
- A question regarding the embed_dim parameter in the config file.
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from taming-transformers.