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How to install Robbyant/lingbot-map. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
Robbyant/lingbot-map Installation Guide
How to install Robbyant/lingbot-map. Official project installation instructions and setup guide.
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Automated Install (Recommended)
Quick installation instructions for Robbyant/lingbot-map. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i Robbyant/lingbot-mapor
Install via npx
npx @hexmos/ipm i Robbyant/lingbot-mapPrerequisites
git
cliconda
clipip
cliPython
languageVersion: 3.10
PyTorch
libraryVersion: 2.8.0
CUDA Toolkit
libraryVersion: 12.8
onnxruntime-gpu
libraryffmpeg
cliManual Installation Methods
Manual installation instructions. How to install from GitHub source.
Conda Environment Setup
conda create -n lingbot-map python=3.10 -y
conda activate lingbot-mapInstall PyTorch (CUDA 12.8)
pip install torch==2.8.0 torchvision==0.23.0 --index-url https://download.pytorch.org/whl/cu128Install lingbot-map
pip install -e .Install FlashInfer (Recommended)
pip install --index-url https://pypi.org/simple flashinfer-pythonVisualization Dependencies (Optional)
pip install -e ".[vis]"Offline Rendering Pipeline Dependencies
pip install -e "[vis,render]"
pip install onnxruntime-gpu
pip install --index-url https://pypi.org/simple kaolin -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.8.0_cu128.html
sudo apt install ffmpeg
cd demo_render/render_cuda_ext && python setup.py build_ext --inplacePost Installation Steps
- Download model checkpoints from HuggingFace or ModelScope.
- Run `python demo.py` for interactive demo or `demo_render/batch_demo.py` for offline rendering.