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David Snopek12 days ago

Very interesting concept! I would love to have the holodeck :-)

Unfortunately, I wasn't able to get it working. I installed and ran Ollama as described in the README, using a port I usually use for testing multiplayer stuff, so I know my headset can reach it. But once I entered all the info, including a new prompt, and clicked "Generate" - nothing happened! I was using the APK on a Meta Quest 3.

I don't know much about Ollama (this is my first time using it), but it does print a log to this console, and it didn't print anything new when I attempted to generate within the app. I don't know if it should say anything about receiving a request and successfully responding, but it certainly didn't print out any errors.

It would be useful if the app itself could show some kind of error message that would help debug problems.

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Steve Castellotti11 days ago(+1)

Thanks for checking out the project and the helpful feedback!

I just set up a temporary host running the original `llama-mesh` model under `generate-glb` (a separate Open Source project I wrote last week to help support this Game Jam). There's another post with details (and some caveats).

Regards the UI, yes I need (and intend) to make some tweaks to better show connection and activity, especially as it may take a couple minutes for the preview of the vectors and faces of the model to start appearing, depending on whether or not hardware acceleration is available on the server doing the rendering. I honestly didn't have much time to devote to the UI since most of the week was dedicated to getting generation dialed in (long story short the quantized models used with Ollama don't produce nearly as good results as the original model, but Ollama is the easiest to set up). Meanwhile the easiest way to check if Ollama is doing its thing is if your GPU usage (or at least CPU) starts to spike after clicking "Generate" - not ideal I know!

I will post a follow-up after cleaning up the UI, either late tonight or tomorrow most likely.

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Steve Castellotti11 days ago (1 edit)

I've made some minor enhancements and posted details in the Devlog. I will continue posting update details through the rest of the Game Jam and in the future.

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Steve Castellotti9 days ago

Thanks to a rather handy WebXR tutorial, I've added WebXR support alongside the temporary render host. I'll keep things running for the rest of the weekend for anyone who wants to try out Genchanted without any location installation required:

https://jigsaw.studio/genchanted/

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David Snopek9 days ago (1 edit)

Thanks! I was able to get it working with the WebXR version, and it even ran fairly quickly, at least compared to my expectations after you explained that it is really slow.

The best object I got was this very cube-ular apple:


Very cool! We are on our way to the holodeck :-)

I also tried asking for a house and a heart, and neither of those actually looked like the requested objects.

And all the objects it made seem to have their normals flipped and/or their vertices wound backwards, such that I see the inside faces of objects and the outside faces are culled. I don't know how much control you have over that, but perhaps you need to invert the normals and/or reverse the winding order of what the generator gives you?

Anyway, I hope you keep iterating on this! I'd love to see a more developed version. And, I know it probably isn't easy/cheap to host the server, having it as a WebXR experience really makes it more accessible than with all the setup.

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Steve Castellotti8 days ago (1 edit)

I appreciate the feedback!
I implemented some additional variables to control the winding order of the faces as well as the culling mode. I think these images should illustrate the fixes:





Hosting via WebXR is a little tricky if one domain hosts the game environment (say itch.io) and another is meant to be providing the rendering. I might just need to play more with CORS and other settings next time (where available).

Regards speed I was able to get a hold of a 3090 (24 GB of VRAM) instead of a 3060 (12 GB VRAM) for the remainder of the game jam which makes a massive difference (safetensors model is 16 GB, anything less and processing spills over to system RAM and becomes CPU bound).

Long term I intend to roll the work over into another Open Source project so will keep expanding and improving as better models become available (generating 3D objects is still pretty new).
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