Hunyuan3D 2.0 from Tencent is an open-source 3D-DiT model for high-resolution 3D asset generation, including geometry and texture. It supports text and image to 3D asset generation using Diffusion technology. The model features text and image encoders, a diffusion model, and a 3D decoder, enabling multi-view generation, reconstruction, and single-view generation. It allows for the rapid generation of high-quality 3D objects suitable for various downstream applications.
What is Hunyuan3D 2.0?
How to use
Hunyuan3D 2.0 supports both text-to-3D and image-to-3D asset generation. Users can input text prompts or images, and the model will generate corresponding 3D assets with high-resolution geometry and textures.
Core Features
- High-resolution 3D asset generation (geometry + texture)
- Text-to-3D and image-to-3D support
- Geometry and texture decoupling
- Multi-view generation, reconstruction, and single-view generation
- High-precision geometry generation
- High-definition texture generation with model skinning support
Use Cases
- Generating a silver snowflake-shaped sword with a white background from a text prompt.
- Creating an old black wooden bench with a white background from a text prompt.
- Generating a low-poly 3D cartoon pack with brown and beige design and a white background from a text prompt.
FAQ
What is Hunyuan3D 2.0?
Hunyuan3D 2.0 is an open-source 3D-DiT model from Tencent for generating high-resolution 3D assets (geometry + texture) from text and images.
What are the key features of Hunyuan3D 2.0?
Key features include high-resolution 3D asset generation, text-to-3D and image-to-3D support, geometry and texture decoupling, multi-view generation, high-precision geometry generation, and high-definition texture generation with model skinning support.
What technologies does Hunyuan3D 2.0 use?
Hunyuan3D 2.0 is based on Diffusion technology and utilizes text and image encoders, a diffusion model, and a 3D decoder.
Pricing
Pros & Cons
Pros
- Open-source and accessible
- High-quality 3D asset generation
- Supports both text and image inputs
- Geometry and texture decoupling for better control
- High-precision geometry and texture generation
- Model skinning support
Cons
- Requires computational resources for 3D asset generation
- May require technical expertise to fine-tune and deploy
- Performance may vary depending on the complexity of the prompt