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Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

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Hello author, your work is very good, but the sample speed is a bit slow. I would like to ask if it is possible to provide ddim code?

why it is context_mask = (-1*(1-context_mask)) # need to flip 0 1 not context_mask = (1-context_mask)) ?

Hi, Thank you so much for the code! I am working with this code these days and I found that sampling from a trained model consumes significant memory. I looked...