Nyquist0
Nyquist0
Add parameter --useTex True Try this command `python demos/demo_reconstruct.py -i TestSamples/examples --saveDepth True --saveObj True --useTex True`
> Hello, I would like to ask the difference between unconditional LDM and conditional LDM. After the model is trained, is unconditional sampling generate image randomly, but not based on...
> Hi, have you caculated the FID score? Opps, good catch! I will do that. Thanks.
> Hi, have you caculated the FID score? With` base lr=1e-6, batch size=42, scale_lr=True, DDIM step=200`, I got **18.36**, while the official is **4.98**. It is still a gap here....
> > I trained 400 epoch on LSUN_Churches, with provided config file, but the FID was about **14.** while the FID reported is **4.02**. I can not reproduce the result,...
Thanks. That helps a lot.
I met the same problem. The val dataset is random split from the whole dataset, so it should be the same domain with training dataset. But different from your training,...
Referring to your training progress, I think that is expected. Because of the domain gap of training dataset and evaluation dataset, the bigger gap are they, the bigger difference of...
May I ask the what dataset are you using? Is it a private dataset? BTW, I found what is my oversight of training. The eval dataset is not random split...
I would like to consult another question. @primepake Although the training loss is decreasing, the out_of_sync_distance seems not very large. Is this expected? ``` 2024-01-08 02:15:09,310 - train - INFO...