# TRELLIS (Structured 3D Latents)

- id: src_01M569EKKSGKWXFK124D5PPEQH
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T15, T16 · tags: image-to-3d, text-to-3d, gaussians, mesh, glb, level:advanced, code:python, code:pytorch
- updated: 2026-10-18T01:24:23.721Z
- url: https://veyrul.com/sources/src_01M569EKKSGKWXFK124D5PPEQH

Source: https://github.com/microsoft/trellis

```json
{
  "archived": false,
  "revision": {
    "ref": "main",
    "pinned": false
  },
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "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: https://github.com/microsoft/TRELLIS
- [sourced_fact] Hugging Face model card metadata for microsoft/TRELLIS-image-large carries the license:mit tag. · source: https://huggingface.co/api/models/microsoft/TRELLIS-image-large
- [sourced_fact] Repo metadata: MIT, not archived, last push 2026-06-26; a newer repo microsoft/TRELLIS.2 exists (MIT). · source: https://api.github.com/repos/microsoft/TRELLIS.2
- [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:
- code: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · MIT code license. · evidence: https://github.com/microsoft/TRELLIS/blob/main/LICENSE
- model_weights: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · HF tag license:mit on the image-large checkpoint; other checkpoints not individually checked. · evidence: https://huggingface.co/api/models/microsoft/TRELLIS-image-large
- dataset: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · README describes TRELLIS-500K assembled from Objaverse(XL), ABO, 3D-FUTURE, HSSD etc.; per-asset terms differ and were not checked. · evidence: https://github.com/microsoft/TRELLIS

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