train vqgan about maskgit-pytorch

[llvictorll]

Hello,

It depends if your dataset is "far" from ImageNet images. If so, you may want to retrain the VQGAN, but that is beyond the scope of this repository. Please refer to the official repository of the [VQGAN] (https://github.com/CompVis/taming-transformers) for more details on how to train the model.

If your dataset is "close" to ImageNet images, there is no need to retrain the VQGAN, you can use the provided one directly.

Best,

Best,

Victor

[brucelighter]

Hello,

It depends if your dataset is "far" from ImageNet images. If so, you may want to retrain the VQGAN, but that is beyond the scope of this repository. Please refer to the official repository of the [VQGAN] (https://github.com/CompVis/taming-transformers) for more details on how to train the model.

If your dataset is "close" to ImageNet images, there is no need to retrain the VQGAN, you can use the provided one directly.

Best,

Best,

Victor

Thank you for your reply. I have one more question. If I want to use it for image inpainting tasks, do I only need to retrain the second part? So how do the input images and masks become code

[daiyixiang666]

Hello,
It depends if your dataset is "far" from ImageNet images. If so, you may want to retrain the VQGAN, but that is beyond the scope of this repository. Please refer to the official repository of the [VQGAN] (https://github.com/CompVis/taming-transformers) for more details on how to train the model.
If your dataset is "close" to ImageNet images, there is no need to retrain the VQGAN, you can use the provided one directly.
Best,
Best,
Victor

Thank you for your reply. I have one more question. If I want to use it for image inpainting tasks, do I only need to retrain the second part? So how do the input images and masks become code

I think you do not need to retrain the model but just do some modification in the inference step is enough