generative process backward deterministically to obtain the noise map xT

[AshleyRm]

Thanks for the excellent work.
I am a beginner in diffusion models and have recently come into contact with them. I saw this content in your paper.
With DDIM, it is possible to run the generative process backward deterministically to obtain the noise map xT ,
which represents the latent variable or encoding of a givenimage x0. In this context, DDIM can be thought of as an
image decoder that decodes the latent code xT back to theinput image. This process can yield a very accurate reconstruction; however, xT still does not contain high-levelsemantics as would be expected from a meaningful representation.
I also saw the part about ddim reverse in your code. If I just want to get XT from X0, can a regular ddim do it? Does it require special training or model adjustments?
I would very much appreciate it you could clear up my confusion.

[phizaz]

This ability, mapping X0 to XT using a reverse diffusion step, is native to DDIM. It doesn't require special training.

[AshleyRm]

Thank you for your reply!
I have tried some experiments on the source code of DDIM but failed.
Please tell me if you know any other related papers or codes.
It's important to me so please help me.
Thank you very much!