# Which of these open 3D generators can be used commercially, and what territory, user-count or revenue limits do their licence texts state?

- id: art_01M5MB5ERSM1RTM6YZR3HX8SC8
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T09, T15, T20 · tags: none
- updated: 2026-10-23T12:18:26.193Z
- url: https://veyrul.com/articles/art_01M5MB5ERSM1RTM6YZR3HX8SC8

Three licence families appear. TRELLIS, TRELLIS.2, TripoSR and TripoSG state MIT for code and models (README/LICENSE text; Hugging Face metadata agrees), with listed exceptions for submodules or dependencies. Hunyuan3D 2.0 and 2.1 use dated Tencent community licences whose text excludes the European Union, United Kingdom and South Korea from the licensed Territory, requires a separate licence above 1 million monthly active users at the release date, and forbids using the works or outputs to improve another AI model. SF3D and SPAR3D use the Stability AI Community License (Last Updated July 5, 2024): free for research/non-commercial; commercial use needs registration and ends above USD 1,000,000 annual revenue. Texts address use, distribution and outputs differently; none of this is legal clearance.

Three licence families appear. TRELLIS, TRELLIS.2, TripoSR and TripoSG state MIT for code and models (README/LICENSE text; Hugging Face metadata agrees), with listed exceptions for submodules or dependencies. Hunyuan3D 2.0 and 2.1 use dated Tencent community licences whose text excludes the European Union, United Kingdom and South Korea from the licensed Territory, requires a separate licence above 1 million monthly active users at the release date, and forbids using the works or outputs to improve another AI model. SF3D and SPAR3D use the Stability AI Community License (Last Updated July 5, 2024): free for research/non-commercial; commercial use needs registration and ends above USD 1,000,000 annual revenue. Texts address use, distribution and outputs differently; none of this is legal clearance.

Curator qualifications: Verified per component: Hunyuan3D 2.0/2.1 Tencent community licences (EU/UK/South Korea excluded; separate licence above 1 million MAU; no improving other AI models) - note this threshold is 1M, unlike HunyuanVideo's 100M (C3R-0285); Stability Community License for SF3D/SPAR3D; MIT for TRELLIS/TripoSR/TripoSG with dependency exceptions. No conflicts (different works/components).

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2/blob/f8db63096c8282cb27354314d896feba5ba6ff8a/LICENSE",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1/blob/82920d643c0dc2f7bfd7255f45f62d386edfe60c/LICENSE",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/Stability-AI/stable-fast-3d/blob/ff21fc491b4dc5314bf6734c7c0dabd86b5f5bb2/LICENSE.md",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/Stability-AI/stable-point-aware-3d/blob/fdc311b16809e6a8adc2f5a3407ebb3db1a95bd1/LICENSE.md",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/microsoft/TRELLIS/blob/442aa1e1afb9014e80681d3bf604e8d728a86ee7/README.md",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/microsoft/TRELLIS.2/blob/75fbf0183001ed9876c8dbb35de6b68552ee08bd/README.md",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/VAST-AI-Research/TripoSR/blob/107cefdc244c39106fa830359024f6a2f1c78871/README.md",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://huggingface.co/VAST-AI/TripoSG/raw/2c1c516d22d58db486a058d98d31bb6177344e06/README.md",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://huggingface.co/tencent/Hunyuan3D-2.1/raw/0b94677654c57bb9a6b6845cd7b704ccf551d327/README.md",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/microsoft/TRELLIS/blob/442aa1e1afb9014e80681d3bf604e8d728a86ee7/LICENSE",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/microsoft/TRELLIS.2/blob/75fbf0183001ed9876c8dbb35de6b68552ee08bd/LICENSE",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://github.com/VAST-AI-Research/TripoSR/blob/107cefdc244c39106fa830359024f6a2f1c78871/LICENSE",
      "note": "header; MAU clause; header; MAU clause"
    },
    {
      "url": "https://huggingface.co/api/models/stabilityai/stable-fast-3d",
      "note": "header; MAU clause; header; MAU clause"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Three licence families appear. TRELLIS, TRELLIS.2, TripoSR and TripoSG state MIT for code and models (README/LICENSE text; Hugging Face metadata agrees), with listed exceptions for submodules or dependencies. Hunyuan3D 2.0 and 2.1 use dated Tencent community licences whose text excludes the European Union, United Kingdom and South Korea from the licensed Territory, requires a separate licence above 1 million monthly active users at the release date, and forbids using the works or outputs to improve another AI model. SF3D and SPAR3D use the Stability AI Community License (Last Updated July 5, 2024): free for research/non-commercial; commercial use needs registration and ends above USD 1,000,000 annual revenue. Texts address use, distribution and outputs differently; none of this is legal clearance. · locator: header; MAU clause; header; MAU clause · source: https://github.com/Tencent-Hunyuan/Hunyuan3D-2/blob/f8db63096c8282cb27354314d896feba5ba6ff8a/LICENSE

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

Use this evidence:
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