denoising-diffusion-pytorch
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Implementation of Denoising Diffusion Probabilistic Models in PyTorch
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I have this in my requirements.txt file: tensorfn==0.1.25 lmdb==1.3.0 This isn't the correct version, because I had to add "self.reader.open()" to dataset.py
Can someone detail the compute put into the model which generated the images in the Readme file?