Comment by moondev 2 months ago cuda gpu onlyhttps://github.com/apple/ml-sharp#rendering-trajectories-cud... 5 comments moondev Reply diimdeep 2 months ago No, model works without CUDA then you have .ply that you can drop into gaussian splatter viewer like https://sparkjs.dev/examples/#editorCUDA is needed to render side scrolling video, but there is many ways to do other things with result. delis-thumbs-7e 2 months ago Interestingly Apple’s own models don’t work on MPS. Well, I guess you just have to wait for few years.. rcarmo 2 months ago Fixed that: https://github.com/rcarmo/ml-sharp matthewmacleod 2 months ago This is specifically only for video rendering. The model itself works across GPU, CPU, and MPS. gs17 2 months ago The gaussian splat output can be generated with CPU (this was honestly one of the easiest AI repos to get running).
diimdeep 2 months ago No, model works without CUDA then you have .ply that you can drop into gaussian splatter viewer like https://sparkjs.dev/examples/#editorCUDA is needed to render side scrolling video, but there is many ways to do other things with result.
delis-thumbs-7e 2 months ago Interestingly Apple’s own models don’t work on MPS. Well, I guess you just have to wait for few years..
matthewmacleod 2 months ago This is specifically only for video rendering. The model itself works across GPU, CPU, and MPS.
gs17 2 months ago The gaussian splat output can be generated with CPU (this was honestly one of the easiest AI repos to get running).
No, model works without CUDA then you have .ply that you can drop into gaussian splatter viewer like https://sparkjs.dev/examples/#editor
CUDA is needed to render side scrolling video, but there is many ways to do other things with result.
Interestingly Apple’s own models don’t work on MPS. Well, I guess you just have to wait for few years..
Fixed that: https://github.com/rcarmo/ml-sharp
This is specifically only for video rendering. The model itself works across GPU, CPU, and MPS.
The gaussian splat output can be generated with CPU (this was honestly one of the easiest AI repos to get running).