TRELLIS (Structured 3D Latents)
Source: https://github.com/microsoft/trellis
Structured fields
{
"archived": false,
"revision": {
"ref": "main",
"pinned": false
},
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Text- or image-to-3D asset generation producing radiance fields, 3D Gaussians or meshes from one structured latent; MIT-licensed code and weights. A practical generator for props and set dressing, with Gaussian and mesh output options.",
"source_type": "repository",
"availability": "available",
"dependencies": [
"CUDA",
"flash-attn or xformers",
"nvdiffrast",
"kaolin"
],
"source_owner": "Microsoft",
"next_check_at": "2026-10-24T00:00:00.000Z",
"successor_url": "https://github.com/microsoft/TRELLIS.2",
"hardware_notes": "NVIDIA GPU, >=16 GB (README).",
"known_limitations": [
"Training-data rights are mixed (Objaverse-derived).",
"Generated geometry quality for production topology not assessed."
],
"upstream_updated_at": "2026-06-26T07:27:56.000Z"
}Evidence claims
- [upstream_claim] README: takes text or image prompts and generates Radiance Fields, 3D Gaussians or meshes; needs an NVIDIA GPU with at least 16 GB memory, verified on A100/A6000; lists TRELLIS-image-large (1.2B) and text-base/large/xlarge models. · locator: README, hardware and models source
- [sourced_fact] Hugging Face model card metadata for microsoft/TRELLIS-image-large carries the license:mit tag. source
- [sourced_fact] Repo metadata: MIT, not archived, last push 2026-06-26; a newer repo microsoft/TRELLIS.2 exists (MIT). source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | MIT | permitted | permitted | permitted | unknown | MIT code license. |
| model_weights | MIT | permitted | permitted | permitted | unknown | HF tag license:mit on the image-large checkpoint; other checkpoints not individually checked. |
| dataset | unknown | unknown | unknown | unknown | unknown | README describes TRELLIS-500K assembled from Objaverse(XL), ABO, 3D-FUTURE, HSSD etc.; per-asset terms differ and were not checked. |