Hunyuan3D-2.1
| Introduction: | Hunyuan3D-2.1 is a scalable 3D asset creation system that generates high-fidelity 3D assets with production-ready Physically-Based Rendering (PBR) materials from images. |
| Recorded in: | 6/16/2025 |
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What is Hunyuan3D-2.1?
Hunyuan3D-2.1 is an advanced, fully open-source 3D asset creation system developed by Tencent Hunyuan. It is designed for researchers, developers, and industrial users who need to generate high-fidelity 3D models and textures from images. The platform's core value proposition lies in its ability to produce production-ready 3D assets with Physically-Based Rendering (PBR) materials, offering superior photorealistic light interaction compared to traditional RGB-based texture models. By releasing full model weights and training code, it fosters community development, academic research, and industrial deployment in the field of 3D generation.
How to use Hunyuan3D-2.1
To use Hunyuan3D-2.1, users need to install the required Python packages, including PyTorch (version 2.5.1+cu124) and other dependencies listed in `requirements.txt`. Specific components like `custom_rasterizer` and `DifferentiableRenderer` also require compilation. The system provides a diffusers-like API for programmatic interaction, allowing users to generate untextured meshes using `Hunyuan3DDiTFlowMatchingPipeline` and then apply textures using `Hunyuan3DPaintPipeline`. Alternatively, users can host a local Gradio web application for a more interactive experience by running `gradio_app.py` with specified model paths. The project is open-source and available on GitHub, implying no direct registration or pricing model for the software itself, though hardware requirements (e.g., A100 GPU with sufficient VRAM) are noted.
Hunyuan3D-2.1's core features
Fully Open-Source Framework: Provides full model weights and training code for community use.
Physically-Based Rendering (PBR) Texture Synthesis: Generates photorealistic textures with accurate light interaction.
Image-to-Shape Generation: Creates 3D mesh shapes from input images.
Texture Generation: Synthesizes PBR textures for generated or existing 3D meshes.
High-Fidelity 3D Asset Output: Produces high-quality 3D models suitable for production.
Scalable 3D Asset Creation System: Designed for efficient and large-scale 3D content generation.
Diffusers-like API: Offers an intuitive and familiar programming interface for model interaction.
Gradio App Support: Allows hosting a local web interface for easy experimentation.
Community Extensibility: Enables direct fine-tuning and extension for diverse downstream applications.
Cross-Platform Compatibility: Supports Macos, Windows, and Linux operating systems.
Use cases of Hunyuan3D-2.1
Generating realistic 3D models and assets for games, simulations, or virtual reality environments.
Creating high-quality PBR materials for existing 3D models to enhance visual fidelity.
Accelerating academic research in 3D generation and computer graphics by providing an open framework.
Enabling industrial deployment of automated 3D content creation pipelines.
Fine-tuning 3D generation models for specific artistic styles, object categories, or production requirements.
Developing custom applications that require converting 2D images into textured 3D objects.
Benchmarking and comparing the performance of different 3D generation methods.
Prototyping and visualizing product designs in 3D from concept images.
Creating digital twins or virtual representations of real-world objects from photographs.
Educational purposes, allowing students and researchers to experiment with state-of-the-art 3D AI.