TRELLIS 3D AI
Hi HN! I've built TRELLIS 3D AI, an open tool that converts 2D images into professional 3D assets using advanced AI technology. Technical Implementation: - Browser-based processing using WebGL - Structured LATents (SLAT) for maintaining geometric integrity - Dual output pipeline generating both GLB and 3D Gaussian formats - Real-time 3D preview using Three.js - Optimized for processing images up to 2048x2048px The core technology combines: - Pretrained vision encoders for image understanding - Rectified flow transformers for 3D geometry generation - Advanced neural networks for texture…
TRELLIS 3D AI launched on December 27, 2024 with 79 votes, #422 of 5,365 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
TRELLIS 3D AI is a free tool that converts any image into professional 3D assets. Try our Image to 3D Asset conversion now, no cost.
Experience the power of TRELLIS 3D AI, where cutting-edge artificial intelligence meets professional 3D asset creation. TRELLIS 3D AI makes Image to 3D Asset conversion effortless - simply upload your image and watch as TRELLIS 3D AI generates stunning 3D assets with detailed geometry and vivid textures. Join thousands of creators using TRELLIS 3D AI for professional Image to 3D Asset generation. Experience the upgraded 3D model generation with more features and better performance. TRELLIS 3D AI maintains crucial structural elements while generating detailed 3D assets from your images using its unique SLAT representation. Experience professional Image to 3D Asset conversion. TRELLIS 3D AI…from trellis3d.co
In the maker’s words, at launch
Hi HN! I've built TRELLIS 3D AI, an open tool that converts 2D images into professional 3D assets using advanced AI technology. Technical Implementation: - Browser-based processing using WebGL - Structured LATents (SLAT) for maintaining geometric integrity - Dual output pipeline generating both GLB and 3D Gaussian…
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Run TRELLIS.2 Image-to-3D generation natively on Apple SiliconApr 2026 · github.com · ▲202I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
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