System Requirements Configuration Guide
The following hardware and software requirements need to be met in order to run the LHM program properly:
- hardware foundationNVIDIA graphics card (A100 or RTX4090 recommended) with a minimum of 16GB of video memory is required due to the project's dependence on CUDA acceleration and the large number of model parameters (available in 0.5B and 1B versions).
- software environment: Requires Python 3.10 and a specific version of the CUDA toolkit (supports 11.8 or 12.1). In practice, it has been found that the compatibility of the CUDA version with PyTorch directly affects the rendering efficiency
The environment is built in three key steps:
- pass (a bill or inspection etc)
git clone
Getting the project code base - Execution is selected according to the CUDA version
install_cu118.sh
maybeinstall_cu121.sh
installation script - Download the pre-trained models (about 4.7GB for LHM-0.5B and 8.3GB for LHM-1B) to the project root directory
To verify the installation, runpython app.py
If you can start the Gradio web interface, the environment is successfully configured.
This answer comes from the articleLHM: Generating action-enabled 3D human models from a single imageThe