aniruddha mahapatra
aniruddha mahapatra
I am using torch 1.12.1 though (instead of torch2). Also, you had mentioned in that issue that "you can fix it by deleting the torch.compile block in utils.py". Which utils.py...
got it now i have commented these lines in nerf/utils.py ``` # try out torch 2.0 # if torch.__version__[0] == '2': # self.model = torch.compile(self.model) # self.guidance = torch.compile(self.guidance) ```
Somehow commenting out these lines solved the issue. Now it is working as expected. Thanks!
try commenting out lines `revision="fp16", torch_dtype=torch.float16,` Chat-GPT response to the error: This error message is indicating that the LayerNormKernelImpl is not implemented for the data type "Half", which is a...
Currently the demo is not hosted on huggingface. But i will try to add a huggingface demo within a month.
Yes, I also experienced this issue. In my experience, it happens because each frame is inverted independently (and becomes severe when fewer DDIM steps are used). However, if you use...