Longhand
hodlbitcoin.vercel.app
| Longhand | hodlbitcoin.vercel.app | |
|---|---|---|
| 2 | 1 | |
| 16 | 2 | |
| - | - | |
| 7.1 | 9.5 | |
| 5 months ago | 3 days ago | |
| Python | TypeScript | |
| MIT License | - |
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Longhand
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A working implementation of text-to-3D DreamFusion, powered by Stable Diffusion
Currently working with a student group to build out 3D word cloud generator (https://github.com/Cook4986/Longhand), and the prospect of arbitrary, hyper-specific mesh arrays on demand is thrilling.
Right now, we are relying on the Sketchfab API to populate our (Blender) scenes, which is an imperfect lens through which to visualize the sort of humanities-centric corpora our non-technical "clientele" are studying.
Since we are publishing these scenes via WebXR (Hubs), we have specific criteria related to poly counts (associated latency, bandwidth, etc) and usability. Regarding the latter concern, it's not clear that our end users will want to wait for compute.
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Ask HN: What projects are you working on this weekend?
Revising a sci-fi story about the first pizza place on Mars: https://www.dropbox.com/s/wdwj6fn2qjywoct/Best%20Pizza_Cook2...
Also, trying to figure out how to distribute ~1000 arbitrary meshes in 3D space (https://github.com/Cook4986/Longhand), and installing the window AC units (Boston suburbs).
hodlbitcoin.vercel.app
What are some alternatives?
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
linux_udp_poll_latency - Measure latency between Linux packet rx and UDP poll return
ngs - Next Generation Shell (NGS)
nn_vis - A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.