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Trellis2.c – Local 3D generation with Vulkan and CUDA

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Video & audio Hacker News Launched Jul 16, 2026 by wimaxs View original post ↗

Hi HN, I started this because I wanted something in the spirit of llama.cpp and stable-diffusion.cpp, but for local 3D generation model: native executables, no Python/PyTorch runtime, and both CUDA and Vulkan backends. I’ve mainly tested it on an NVIDIA RTX 4090. I’m particularly interested in Vulkan results on AMD and Intel GPUs, where driver behavior and memory allocation may differ. If you try it, GPU, driver, OS details, and failure logs would be extremely helpful. The main limitation right now is performance. The implementation has not yet been heavily optimized, so inference is currently slower than mature, fully optimized PyTorch or Vulkan backends. There is still substantial room for kernel, memory-use, and scheduling improvements.

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