Savva Ignatyev

> @SavvaI Hi, please check https://github.com/ashawkey/stable-dreamfusion#trouble-shooting. I am using Nvidia-docker as specified above, so I tried to act as suggested in [https://github.com/ashawkey/stable-dreamfusion/issues/131#issuecomment-1414727699](url) but it did not work

> # Solution > Go to ./nerf/renderer.py Replace `dr.RasterizeGLContext` to `dr.RasterizeCudaContext` It work well!! So does the same problem in GET3D and nvdiffrec. Thank you it helps!

But after solving the described above issue now it fails while trying to load the mean_density from the checkpoint. [https://github.com/ashawkey/stable-dreamfusion/blob/3bd3c085afcf97c0a044e77088eee735076228b5/main.py#L148](url) The problem is, vanilla dreamfusion (without --dmtet) did not save...

> But after solving the described above issue now it fails while trying to load the mean_density from the checkpoint. > [https://github.com/ashawkey/stable-dreamfusion/blob/3bd3c085afcf97c0a044e77088eee735076228b5/main.py#L148](url) > The problem is, vanilla dreamfusion (without --dmtet)...

> What you saying is remove `--cuda_ray` from this code `parser.add_argument('-O', action='store_true', help="equals --fp16 --cuda_ray --dir_text")` ? Yeah, I was forced to do it, since --cuda_ray stopped working for me...

I have exactly the same problem is there a plan to add support for the multi-gpu setting? Because the size of the batch seems to be extremely important for quality...