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This is a pytorch implementation of Denoising Diffusion Implicit Models
The mnist and cifar10 checkpoint can not be downloaded because it needs your permission of the google drive
Thank you for your work.
I have my own 32by32 image(.png) dataset that I'm trying to use with
I would like to make this image only better in quality, but I'm not sure how to do it
I would be grateful if you could answer me.
Bottom line is that I want to enhance the images in my dataset with ddim.
Also, I would like to use a pre-trained model, not train a new model.
Thanks.
Good Afternoon,
Firstly, Thank you for your great effort on implementing DDIM,
I have seen a lot of DDPM implementation, but less on DDIM implementation. I have learned alot on the current code
One question raises me on trying to learn your code. Since in the code it is written eta = 0, isnt in that case, sigma_t is also a 0 while calculating getting x(t-1) is sampling proecss?
Appreciate your work again.
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