Description

🖼️ Tool Name:

 TRELLIS 2 

✏️ Overview & Key AI Features (2026 Edition):

  • 4B-Parameter Flow-Matching Transformer: The massive scale of the model allows it to understand the relationship between 2D pixels and 3D depth with unprecedented accuracy.

  • O-Voxel Representation: A "field-free" sparse voxel structure that replaces older SDF (Signed Distance Field) methods. It allows for "watertight" meshes even with thin, open, or non-manifold geometry.

  • High-Resolution (Up to 1536³): Capable of producing ultra-detailed assets.

    • 512³ resolution takes ~3 seconds.

    • 1536³ resolution takes ~60 seconds.

  • Full PBR Material Support: Unlike tools that only generate colors, TRELLIS 2 outputs complete material maps: Base Color, Metallic, Roughness, and Opacity (allowing for realistic glass and transparency).

  • Optimization-Free Pipeline: Unlike older "DreamFusion" styles that require hours of optimization, TRELLIS 2 is "instant." It uses a Sparse Compression VAE (SC-VAE) to convert data into a compact latent space instantly.

  • Shape-Conditioned Texture Generation: A unique feature where you can provide an existing 3D mesh and ask the AI to "paint" it based on a reference image.

⭐️ User Experience (2026):

  • "The New Standard for Open Source": Rated 4.8/5 by the 3D developer community. It is hailed as the strongest open-source alternative to proprietary models like Hunyuan 3.0 or Sora-based 3D generators.

  • Professional Integration: Because it exports directly to GLB and OBJ formats, it has seen massive adoption in Blender, Unity, and Unreal Engine 5 workflows.

💵 Pricing & Plans (February 2026 Status):

PlanPrice (Approx.)Key Features
Open Source$0 (Free)MIT Licensed. Code and weights available on GitHub and Hugging Face.
Hugging Face SpaceFree / Zero GPUWeb-based demo for quick testing (subject to queue times).
API (e.g., Fal.ai)Pay-per-genCloud-hosted version for high-speed, scalable batch generation.

🎁 How to Get Started:

Visit the Microsoft TRELLIS.2 Hugging Face Space to upload a single image. Within seconds, you can interact with a 3D preview of the object. For developers, clone the GitHub repository and run the inference script; note that it requires an NVIDIA GPU with at least 24GB of VRAM (e.g., RTX 3090/4090 or A100/H100).

⚙️ Access or Source:

  • Official Repository

  • Web Demo

  • Category: Generative 3D AI, Computer Vision, Game Development Tools.

  • Primary Use Case: Transforming concept art into production-ready 3D game assets and rapid prototyping for 3D printing.

🔗 Experience Link:

https://huggingface.co/spaces/microsoft/TRELLIS.2

Pricing Details

💵 Pricing & Plans (February 2026 Status): Plan Price (Approx.) Key Features Open Source $0 (Free) MIT Licensed. Code and weights available on GitHub and Hugging Face. Hugging Face Space Free / Zero GPU Web-based demo for quick testing (subject to queue times). API (e.g., Fal.ai) Pay-per-gen Cloud-hosted version for high-speed, scalable batch generation. 🎁 How to Get Started: Visit the Microsoft TRELLIS.2 Hugging Face Space to upload a single image. Within seconds, you can interact with a 3D preview of the object. For developers, clone the GitHub repository and run the inference script; note that it requires an NVIDIA GPU with at least 24GB of VRAM (e.g., RTX 3090/4090 or A100/H100).