# microsoft/TRELLIS.2

> A large 3D generative model (4B parameters) from Microsoft for image-to-3D asset generation with full PBR materials and support for complex topologies via the O-Voxel representation.

- Magnitude: 4.6 out of 10 — Breakout
- Stars: 11,728 total · +3 stars measured 2026-10-10, 11:30–12:54 UTC, ≈ 43 by evening
- Star trust: star growth looks organic
- Category: Generative media · Language: Python · License: MIT · Created: 2025-11-26 · Last push: 2026-07-10
- GitHub: https://github.com/microsoft/TRELLIS.2 · Page: https://gitnova.dev/en/r/microsoft/TRELLIS.2

## Useful for

- Generate a textured 3D model from a photo of an object
- Train or fine-tune SC-VAE and flow models on the Objaverse-XL dataset
- Produce a 3D asset with PBR materials (base color, roughness, metallic, opacity) for rendering

## Why it’s here

- Star-counter measurements on 2026-10-10 (UTC), 11:30–12:54: 11725 → 11728 stars (+3). This is the change over that interval.
- Estimated end-of-day forecast: about +43 stars, using observed gains and the previous day.
- Over the last two days the pace is 9.6× that of the previous week and a half.
- GitHub Trending Python today: #12, +207 stars.
- About 23 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 1,423
- Issues and pull requests: 198
- Watchers: 82
- Average over the last week: 41 per day
- Usual pace: 14 per day
- Stars in the last hour (measured): 2

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-11 … 2026-10-10: 14, 13, 17, 21, 12, 15, 19, 12, 9, 13, 22, 22, 17, 13, 12, 15, 12, 9, 5, 19, 17, 7, 14, 13, 13, 14, 8, 13, 186, 3

## Spotted in now

- GitHub Trending Python today: #12, +207 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-10 13:04 UTC, updated every 30 minutes.