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Alokia / diffusion-DDIM-pytorch

This is a pytorch implementation of Denoising Diffusion Implicit Models
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About Eta value #3

Open railgun122 opened 2 months ago

railgun122 commented 2 months ago

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.

Alokia commented 2 months ago

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.

Sorry, it's been so long, I can't remember many details. You can read this blogs, which inspired me greatly.

I'm sure you can gain a lot of insight.

railgun122 commented 2 months ago

Thank you for your references

It help me alot in understanding of ddim

Cheers