Jaeha Kim

Results 2 comments of Jaeha Kim

Thanks for sharing the awesome information! In my solution, I changed the original [sampler.sample](https://github.com/XPixelGroup/DiffBIR/blob/7bd5675823c157b9afdd479b59a2bf0a8954ce11/model/cldm.py#L394) function into another [sampler.sample](https://github.com/XPixelGroup/DiffBIR/blob/7bd5675823c157b9afdd479b59a2bf0a8954ce11/inference.py#L72) function, which is implemented in the ```inference.py```. (To be precise, I additionally...

Below is my code snippet. But again, note that it is NOT the official solution. ``` from .spaced_sampler import SpacedSampler ... class ControlLDM(LatentDiffusion): ... @torch.no_grad() def log_images(self, batch, sample_steps=50): log...