I think that if you go in the guided_diffusion repository you can see that the super resolution network condition the output by concatenating the low resolution image. There are also other ways to condition, like the gradients during sampling.

I am trying to adapt the guided_diffusion repository for some other task since a couple of months now...I have to say I am facing quite some difficulties overall!

I hope this helps

The professor Romain Robbes has a research group focusing on this, you might look at his papers or also contact him!

I think you need a comprehensive benchmark, you might find your deep learning model to miserably fail even in a simple scenario. Thus I would recommend to double check the requirements, if your business does not particularly care about some possible bad predictions, then it should be fine, otherwise I would look for some more deterministic models.

can we know the exact location?