TRELLIS.2 can now generate a high-quality 3D asset in under 7 minutes on a 6 GB VRAM CUDA GPU. No ComfyUI Node Nightmare.

Not Self Promotion: Just sharing an open-source tool I built to democratize image to 3D creations. For OpenAI Build Week Hackathon I built a free, open-source local Image-to-3D Studio that makes TRELLIS.2 easier to run on consumer NVIDIA gpus like 3060 or a laptop 3070ti, without expensive cloud APIs, subscriptions, or complicated ComfyUI workflows. It combines generation, texturing, retopology, rigging, and animation in one interface. I know there are already multiple implementations of running Trellis2 under 8gb GPU. The hard part was to test the best possible combination for mesh/textures that gave 1024 High precision quality but still kept under the VRAM. So I used two different pipelines for Mesh and Textures, which in my tests seemed to work the fastest without compromising quality in combination. It integrates several open-source projects, including trellis.cpp, TRELLIS.2, ComfyUI-Trellis2, Blender, AutoRemesher, InteantMeshes, and Mesh2Motion, with full attribution to the original contributors. As it was for a hackathon, time was also a challenge. Many things could be further updated, but the Hackathon's rules state we can't update after the submission date until the results are published. Try out it from GitHub repo: intisarGIT/AISmith-3D If you think this is helpful, I'd appreciate your support on Devpost by leaving a like: https://devpost.com/software/aismith3d Edit: I will work on perfecting the Retopologize workflow after 12 August. But the Refine tab should already reconstruct/refine the Mesh better, and generate updated 2K PBR textures. would have pushed to 4K texture if my goal wasn't fast generation under low VRAM. submitted by /u/intisarstorage2 [link] [comments]

TripoSplat: TripoSplat converts a single 2D image into high-quality and variable number of 3D Gaussians, developed by TripoAI (open weights, link to github repo)

Source: r/StableDiffusion | 2026-07-23

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