taming-transformers
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Taming Transformers for High-Resolution Image Synthesis
Hi! Thanks for this wonderful codebase. In the file containing the Encoder and Decoder definitions, I found that `num_res_blocks` was used in the Encoder, and `num_res_blocks + 1` in the...
This pull request contains the following changes: 1. Imports are relative in the `taming` module. 2. Missing `__init__.py` added. We can install it as a plain python package through `setup.py`...
I have trained a transformer model that can generate _256*256_ images, how can I use the **sliding attention window** mechanism mentioned in the paper to generate high resolution images? It...
I try to run the code from latent diffusion model which clones taming-transformer, but I fail as" ModuleNotFoundError: No module named 'cutlit'". cutlit is not a python package, according to...
Fix variable naming errors, embedding_dim and n_embed
Since the transformer take in the quantified image token generated by VQGAN, which codebook has indices (0~n_embed-1), and transformer’s sos token is also set to zero defaultly. Could you tell...
Can anyone help me with this. I am training on custom dataset and i have changes image dataset class as per my need. The error below is coming when i...
Hi, I found the all of the saved reconstructed images are white images under the directory ./logs/ during training(shown below). Is there anyone can tell me the potential reason? 
Hi. There is one output in the decoder class: `print("Working with z of shape {} = {} dimensions.".format(self.z_shape, np.prod(self.z_shape)))` Here the letter z seems to represent the latent vector by...
So far, I've seen that there are many flags that check for torch with cuda, and many cuda specific calls. I've commented the checks out and converted the devices to...
