logo
Free, unlimited AI code reviews that run on commit
git-lrc git-lrc GitHub Install Now We'd appreciate a star git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt
How to install st-tech/ppf-contact-solver. 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.

st-tech/ppf-contact-solver Installation Guide

How to install st-tech/ppf-contact-solver. Official project installation instructions and setup guide.

Automated Install (Recommended)

Quick installation instructions for st-tech/ppf-contact-solver. This is the fastest way to complete project installation and setup.

Install via curl

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i st-tech/ppf-contact-solver
or

Install via npx

npx @hexmos/ipm i st-tech/ppf-contact-solver

Prerequisites

NVIDIA GPU

hardware

Version: CUDA 12.8+

Docker

software

Version: latest

NVIDIA Container Toolkit

software

Version: latest

NVIDIA Driver

software

Version: latest

Blender

software

Version: 5+

Manual Installation Methods

Manual installation instructions. How to install from GitHub source.

Windows Native Executable

Invoke-WebRequest -Uri "https://github.com/st-tech/ppf-contact-solver/releases/download/addon-2026-05-25-0558/ppf_contact_solver_2026_05_25_0558.zip" -OutFile "ppf_contact_solver.zip"

Expand-Archive -Path "ppf_contact_solver.zip" -DestinationPath "ppf_contact_solver"

Set-Location -Path "ppf_contact_solver"

.\start.bat

Docker (Linux and Windows)

docker run --rm -it --name ppf-contact-solver --gpus all -p 8080:8080 -p 9090:9090 -e WEB_PORT=8080 ghcr.io/st-tech/ppf-contact-solver-compiled:latest

Source (Linux and Windows)

git clone https://github.com/st-tech/ppf-contact-solver

cd ppf-contact-solver

cd articles

cd install.md

Post Installation Steps

  • Ensure you have an NVIDIA GPU with CUDA 12.8 or newer.
  • For native Windows, double-click start.bat.
  • For Docker, open http://localhost:8080 in your browser.
  • For source installation, follow the 'Advanced Installation' guide in articles/install.md.