facebookresearch
The model could not be fitted if not predict xstart
Thank you so much for sharing this great work.
I try to use DiT to my dataset, but I meet some problem when I train model using predict_xstart = False. The loss down a little and seem to stuck at a hight level and won't be down, when I use predict_xstart = True the loss down quickly.
So can you confirm that when using predict_xtart=True, the result would be much better?
So can you confirm that when using
predict_xtart=True, the result would be much better?
According to my dataset experiment predict_xtart=True can converge quickly
According to my dataset experiment predict_xtart=True can converge quickly
@JJLi0427 Hello, I encountered the same problem, have you found the reason?
According to my dataset experiment predict_xtart=True can converge quickly
@JJLi0427 Hello, I encountered the same problem, have you found the reason?
This seems to be because there is a problem with the implementation of the denoising function, and I only used predict xstart to do my task later.
I had a similar problem. When I added additional modules, the loss didn't converge at all. May be I should modify predict_xtart.
