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Tripo AI Releases P2.0 Model with Native Quad Mesh Generation


Tripo AI Releases P2.0 Model with Native Quad Mesh Generation
  • by: PR Newswire
  • |
  • September 23, 2026

Tripo AI unveiled Tripo P2.0, its latest 3D-native foundation model enabling high-fidelity 3D assets generation with quad topology, marking a major breakthrough in generative 3D.

As an upgrade from Tripo Smart Mesh P1.0, P2.0 brings native quad mesh generation, a first for the AI 3D industry, representing a major advance in AI-powered 3D content creation.

Quick Intel

  • Tripo AI releases Tripo P2.0, latest 3D-native foundation model with native quad topology
  • First for AI 3D industry — generates quad-dominant meshes natively with clean part separation and artist-like edge flow
  • Supports up to 50,000 faces for triangle and up to 25,000 faces for quad topology, 4 versions per prompt
  • New features from Preview: multiple versions generation per prompt and Mesh Edit for selective region regeneration
  • Adds Smart UV one-click unwrap, front/back/left/right views to closely match intentions
  • Designed for games and interactive experiences — characters, vehicles, props, buildings at scale

Why Native Quad Topology Solves Production Challenge

The model allows 3D creators to move AI-generated 3D content seamlessly into production, addressing one of the longstanding challenges in AI 3D generation. Game and film pipelines are built on quad meshes, and until now AI got there only through slow, unstable retopology.

"Topology has been the wall between AI-generated 3D and real production: game and film pipelines are built on quad meshes, and until now AI got there only through slow, unstable retopology. P2.0 can quickly generate quad-dominant meshes natively, with clean part separation and the edge flow an artist would lay out manually. Production-ready is today's bar; the longer-term goal for Tripo is to build models that understand, generate and interact with 3D environments," says Dr. Yanpei Cao, Chief Scientist of Tripo AI.

Following the release of P2.0 Preview in August, the official launch of P2.0 added two new features: multiple versions generation per prompt and Mesh Edit. The model makes it easier than ever for creators to edit, rig, animate and integrate AI generated characters and props into production pipelines.

How Tripo P2.0 Delivers Production-Ready Assets with Mesh Edit

The model supports both triangle- and quad-based 3D assets generation, offering up to 50,000 faces for triangle topology and up to 25,000 faces for quad topology. With one single prompt, P2.0 allows generation of a maximum of four versions of the same asset with different face counts, giving creators greater flexibility to produce assets with varying levels of complexity and details.

The newly added Mesh Edit feature gives creators direct control over the result. They can select and regenerate any region of a mesh without altering the rest of the asset. Instead of regenerating the whole asset and hoping for a better outcome, creators can refine the asset more precisely, step by step.

The model offers front, back, left and right views of the generated assets, allowing them to closely match users' intentions. P2.0 also supports Smart UV which enables creators to unwrap 3D assets into a 2D layout with a single click, making it easier for texturing and further editing. Designed for games and interactive experiences, Smart Mesh P2.0 helps 3D artists, technical artists and game developers create assets ready for production.

 

About Tripo AI

Tripo AI is a global leader in the development of 3D-native foundation models and world models. Founded in 2023 by leading scientists in AI and computer graphics, the company has developed a comprehensive end-to-end product ecosystem, built around its proprietary 3D-native foundation models and world models. With Tripo Studio and Tripo API, Tripo AI has transformed 3D generation. Powered by a world-class AI 3D research team, the company is advancing AI toward understanding, generating, and interacting with 3D environments.

  • 3D GenerationAI ModelGame Dev
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