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Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

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Could you please provide a script for using the trained model to generate images?

Hi, I want to give a condition when training a model, but I don't know where to start. How Can I Solve this issue?

When trying to train a model, the dual_contrast_loss argument spits up an error on lightweight-gan.py. My guess is that it's not implemented yet. At first I thought it was a...

How about the performance? Are there some image generated by this model ?

[Gansformer](https://github.com/dorarad/gansformer) has released the official code based on TF, and I look forward to your replay of the PyTorch code.