Hunyuan3D
Hunyuan3D is Tencent's open-source family of 3D generation models. It can turn a text prompt or a single image into a detailed 3D model with textures, and because the weights are public, you can run it on your own hardware or use Tencent's hosted tools.
Quick Facts
| Developer | Tencent (Hunyuan team) |
|---|---|
| First released | 2024 |
| Latest version | Hunyuan3D-2.1 (2025) |
| Language | Python (PyTorch) |
| License | Open source; code under MIT, weights under a community license |
| Pricing | Free to download; hosted web tool and API use credits |
What is Hunyuan3D?
Hunyuan3D is Tencent's answer to AI-generated 3D. The project kicked off with Hunyuan3D-1.0 in late 2024 and really arrived with Hunyuan3D-2.0, a large model family that generates geometry and textures from either text or a single reference image.
Unlike many commercial generators, Hunyuan3D is open source. You can download the weights, run inference on your own GPU and even fine-tune for your own art style, which makes it popular with researchers and studios that want full control over their pipeline.
Key Features
- Text-to-3D and image-to-3D generation
- High-fidelity geometry from a large 3D diffusion model
- Automatic PBR texture generation
- Open-source weights hosted on Hugging Face
- Runs locally with Python and PyTorch
- A free web tool and commercial API from Tencent
- Multiple model sizes from fast turbo variants to the big flagship
How to get started
The easiest path is the official web tool at 3d.hunyuan.tencent.com: upload an image or type a prompt, and the hosted service generates the model for you without any setup.
To run it yourself, clone the GitHub repository, install the Python dependencies into a conda environment, and download the model weights from Hugging Face. The repo includes inference scripts and a Gradio demo so you can generate models locally, provided your GPU has enough memory for the model size you pick.
- Try the free web tool with an image or prompt
- Clone the GitHub repository
- Install dependencies in a Python environment
- Download the weights from Hugging Face
- Run the Gradio demo or inference scripts
Use cases
- Research on 3D generation models
- Rapid prototyping of game assets on your own hardware
- Creating product and character models for web experiences
- Fine-tuning the model on a specific art style
- Building commercial services on Tencent's hosted API
Pricing and licensing
The models themselves are free: code is released under the MIT license and the weights under a community license that allows most commercial use, with a few conditions worth reading on the official pages.
Tencent also runs a hosted web tool and a commercial API that work on a credit system, so you can pay for convenience instead of running the models yourself. Exact credit pricing is on the official site.
Pros and cons
The standout feature is openness. You can audit the code, run everything locally and keep your data off third-party servers, which is rare in the AI 3D space. Output quality is genuinely strong, especially geometry and textures from a single image.
The cost is complexity and hardware. The flagship model needs a serious GPU with lots of VRAM, setup takes some Linux and Python comfort, and inference is slower than hosted services. If you just want a model fast, the web tool or a commercial rival is easier.
Alternatives
- TRELLIS: Microsoft's open-source image-to-3D model
- Tripo: commercial text-to-3D and image-to-3D API
- Meshy: quick browser-based AI generation
- Stable Fast 3D: fast single-image 3D from Stability AI
- CSM: commercial image-to-3D with an API