Deploying HunyuanWorld-1.0 requires that the following are metHardware and software requirements::
- GPU Configuration: NVIDIA A100 (33GB video memory) recommended, RTX 3090 (24GB) minimum required. Tested GPUs with 12GB of video memory may not be able to complete the full generation process.
- software dependency: Python 3.10 and PyTorch 2.5.0+cu124 environments must be configured, and the project uses conda for environment management (HunyuanWorld.yaml configuration file provided).
- essential component: Additional dependency libraries such as Real-ESRGAN (image enhancement), ZIM (semantic segmentation support) and Draco (.glb compression) need to be installed.
- storage space: The pre-training model weights are about 15GB, and it is recommended to prepare more than 50GB of disk space.
- network condition: You need to visit Hugging Face to download the model weights, and domestic users may need to configure acceleration mirrors.
The installation process consists of 8 steps: cloning the code base → creating the conda environment → installing Real-ESRGAN → configuring ZIM segmentation → optionally installing Draco → logging into HuggingFace → verifying GPU availability. After the environment is successfully configured you can pass thetorch.cuda.is_available()Returns True to confirm.
This answer comes from the articleHunyuanWorld-1.0: Generating Interactive 360° 3D Worlds from Text or ImagesThe
May not be reproduced without permission:AI productivity tools " What are the hardware and software environment requirements for HunyuanWorld-1.0?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil