Open rainsoulsrx opened 5 days ago
Thank you for your attention to our work. This may be caused by the random seed leading to different initial noisy states (i.e., at t=999). You can change the seed to generate different results.
Thank you for your attention to our work. This may be caused by the random seed leading to different initial noisy states (i.e., at t=999). You can change the seed to generate different results.
which seed do you use in the displayed image?
We used the default setting, which set the seed to None.
We used the default setting, which set the seed to None.
I use default setting, too. I check the seed is None. But the result are very different
Due to the stochasticity of DM-based models, the results can look very different. If the results you get are not satisfactory, you can change the seed to try other results. This phenomenon is discussed in CCSR, where you can find more detailed discussions. With this in mind, this issue is important for using DM-based models in SR tasks, and we will consider it in our future plans.
Hi, I test the image you display here https://imgsli.com/MjUyNTgx, but the result is different from yours. why?