ml-sharp

The Python process peaks at about 15 GB, so maybe a 24 GB GPU works. But others seem to have problems wih Nvidia: https://github.com/apple/ml-sharp/issues/84

Also interesting: https://github.com/apple/ml-sharp Apples model to generate Gaussian splats from a single image. Takes about 30 seconds on an M1 Pro. It falls apart once you move too much, but for a little side-wiggling or a second-eye view for VR, it's great. And looks a lot better than the old approach of depth map + vertex shaders that I use in https://github.com/combatwombat/tiefling. But ml-sharp has 2.6 GB weights, a bit too big to run in the browser.

I wonder how these outputs compare between Apple Sharp https://github.com/apple/ml-sharp No matter what it is cool seeing so much them work on different devices

This is just Apple's tool plus a splat viewing library? Perhaps disingenuous to call "our web app" This is the heavy lifting: https://github.com/apple/ml-sharp Previous discussion: https://news.ycombinator.com/item?id=46284658

Wanted a clean solution to build linktree style url grouping within a single url with no setup. Give it a try! groupmylinks.com/github.com,https://github.com/apple/ml-sharp

I built a web viewer for visualizing Gaussian Splat .ply files generated by Apple's ml-sharp, which converts a single photo into a 3D Gaussian Splat in under a second [1]. Features: - Upload and view .ply file directly in the browser - Multiple camera trajectory animations (rotate, swipe, shake, forward) - Interactive orbit controls (drag to orbit, scroll to zoom, right-drag to pan) - No installation required – runs entirely client-side The original ml-sharp can render the same video trajectories but requires a CUDA GPU. This viewer lets you explore the 3D output on any device with a browser. I also added cloud GPU inference via Modal so you can generate splats without a local GPU (free tier available) [2]. [1] https://github.com/apple/ml-sharp [2] https://modal.com/

The code is licensed [1] under the "Apple MIT" license [2], which is considered open-source. The weights are under a different, more restrictive license. This is mentioned at the bottom of the README. [1] https://github.com/apple/ml-sharp/blob/main/LICENSE [2] https://fedoraproject.org/wiki/Licensing/Apple_MIT_License

Link to the actual project license, since it hasn't been referenced yet: https://github.com/apple/ml-sharp/blob/main/LICENSE Between this and the model's license, it seems like one is stuck with using this for personal use?

Interesting, the main license doesn't mention the limit, maybe that's why the op got confused https://github.com/apple/ml-sharp/blob/main/LICENSE

You could use pixi instead, as a much nicer/saner alternative to conda: https://pixi.sh Though in this particular case, you don't even need conda. You just need python 3.13 and a virtual environment. If you have uv installed, then it's even easier: git clone https://github.com/apple/ml-sharp.git cd ml-sharp uv sync uv run sharp

cuda gpu only https://github.com/apple/ml-sharp#rendering-trajectories-cud...