Hunyuan3D 2.1: 3D generator — what it does and what you need to run it

Hunyuan3D 2.1 is a 3D model generator from Tencent that tackles the image-to-3D task. The tool converts a flat image into a 3D object with PBR materials suitable for production use. The code is open source, and the model weights are publicly available.

What it does

As described by the author, Hunyuan3D 2.1 is a system that creates highly detailed 3D objects with ready-to-use PBR materials. It is based on the image-to-3D task, but the repository tags also mention text-to-3D — the developers provide no details about this mode. The output consists of a shape and a texture. Generation can be performed separately or jointly.

What you need to run it

The code is written in Python. The developer states that testing was done on Python 3.10 and PyTorch 2.5.1+cu124. The hunyuan3d-2 library is required. The authors describe VRAM requirements as follows: shape generation takes 10 GB of VRAM, texture generation takes 21 GB, and the full pipeline of shape and texture together takes 29 GB. The largest weights file is 6.9 GB, and the total size of all files is 13.9 GB. The code license is non-standard, and the authors suggest checking its terms manually. The weights license is marked as "other." Running on your own hardware is possible, but the full generation pipeline of Hunyuan3D 2.1 requires a GPU with 29 GB of memory. No cloud service is listed in the fact sheet, but a project website exists — the authors do not disclose details about its functionality.

Who it is for

Hunyuan3D 2.1 is aimed at those who need to generate 3D models from images with materials ready for further work. The tool will be useful for artists, game developers, and visualization specialists who have access to a powerful GPU. It is not suitable for those expecting quick results on consumer GPUs: the memory requirements are high. Also, keep in mind the non-standard license — you will need to review it separately before commercial use. Hunyuan3D 2.1 continues Tencent's line of tools for generating 3D content. The open source code and available weights allow you to study how the model works, but practical use is constrained by hardware requirements and the need to sort out the license terms.