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๐Ÿ”ฅ Free Alternative to Luma AI & NeRF23.9k GitHub Stars๐Ÿ’ป Python 3D AIPython

3D Gaussian Splatting (Inria)by graphdeco-inria

Real-time radiance field rendering for 3D scene reconstruction from video/photos with 1080p 60fps rendering. It's also a popular Free Alternative to Luma AI & NeRF for creators who don't want to pay a monthly subscription.

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What Is 3D Gaussian Splatting (Inria)?

New to GitHub repos? Here's what this actually does, in plain language:

A revolutionary real-time rendering framework capable of transforming simple location video sweeps into photorealistic, navigable 60fps 3D cinematic environments.

โœ“Real-time 60fps 3D environment rendering
โœ“Train 3D scene in 15 minutes
โœ“Unmatched photorealistic lighting & reflection
โœ“Importable into Unreal Engine & Unity
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Strengths, Limitations & Is It Safe to Install?

An honest breakdown before you install anything on your PC:

โœ… What It Does Well

  • The original research implementation behind one of the most exciting recent breakthroughs in 3D scene capture
  • Produces impressively photorealistic, navigable 3D scenes from ordinary video
  • Can train a usable scene in around 15 minutes on suitable hardware

โŒ What It Can't Do / Limitations

  • This is research-grade code, not a polished consumer app โ€” expect rough edges
  • Needs a strong Nvidia GPU with good VRAM (RTX 3080/4090-class recommended)
  • Requires comfort with Python environments and CUDA setup โ€” not for casual beginners

๐Ÿ›ก๏ธ Is It Safe to Install?

Safe, official academic research repo from Inria. Flagged clearly: this is for advanced/technical users, not a beginner's first project.

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Hardware & PC System Requirements

Check if your laptop / PC can run 3D Gaussian Splatting (Inria) smoothly:

Minimum VRAM / GPU
Integrated Graphics / 2GB VRAM
Recommended GPU
4GB+ Dedicated GPU VRAM
System RAM Required
8GB - 16GB RAM
Free SSD Disk Space
5GB - 15GB Free SSD Space
Supported Platforms:๐ŸชŸ Windows 10 / 11๐ŸŽ macOS (Apple Silicon M1/M2/M3)๐Ÿง Linux (Ubuntu CUDA)

โšก 1-Click Setup Commands for 3D Gaussian Splatting (Inria)

Copy & paste in Terminal or Command Prompt:
Python / Pip / Git Command:git clone --recursive https://github.com/graphdeco-inria/gaussian-splatting
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Beginner Installation Guide (Windows & Mac)

Straightforward step-by-step installation instructions for Windows and macOS systems:

๐Ÿ’ป Windows Install Steps:

  1. Step 1: Press Win + R keys together, type cmd and hit Enter to open Command Prompt.
  2. Step 2: Copy the git clone --recursive https://github.com/graphdeco-inria/gaussian-splatting command from the top banner.
  3. Step 3: Right-click in Command Prompt to paste the command and press Enter. Installation complete!

๐Ÿ Mac Install Steps (Apple Silicon & Intel):

  1. Step 1: Press Cmd + Space, type Terminal and hit Enter.
  2. Step 2: Copy the git clone --recursive https://github.com/graphdeco-inria/gaussian-splatting command from the top banner.
  3. Step 3: Paste into Terminal and press Enter. If Mac blocks opening: Go to System Settings > Privacy & Security > Click "Open Anyway".
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How to Use 3D Gaussian Splatting (Inria) (Beginner Quick Start Tutorial)

First time launching this application? Follow our beginner operational workflow:

1

Capture a Video Sweep

Film a smooth video walking around your subject or scene, covering it from multiple angles.

2

Run Structure-from-Motion First

Process your video/photos through COLMAP to estimate camera positions โ€” this is a required prerequisite step.

3

Train the Gaussian Splat Model

Run the training script pointing at your COLMAP output โ€” this takes roughly 15-30 minutes on a good GPU.

python train.py -s <path-to-colmap-data>
4

View Your 3D Scene

Use the included real-time viewer to fly around your reconstructed 3D scene.

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Troubleshooting & Fix Common Errors

If you encounter unexpected errors or installation failures, apply these verified diagnostic fixes:

โŒCUDA Out of Memory (OOM) Error

Root Cause: Your GPU VRAM is full because the AI model batch size or resolution is too high.

๐Ÿ’ก Solution Fix: Add '--lowvram' or '--medvram' argument to your launch command script, or lower the image/video batch size to 1.
โŒ'git', 'python' or 'ffmpeg' is not recognized as an internal command

Root Cause: The required software is installed but not added to your Windows Environment System PATH.

๐Ÿ’ก Solution Fix: Reinstall Python / Git and make sure to check the box 'Add Python.exe to PATH' during installation.
โŒTorch / PyTorch CUDA Version Mismatch

Root Cause: Installed PyTorch binary does not match your Nvidia GPU CUDA driver version.

๐Ÿ’ก Solution Fix: Run: pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
โŒPort 7860 or 8888 Already in Use

Root Cause: Another WebUI or Python background process is already running on the default local port.

๐Ÿ’ก Solution Fix: Close existing terminal windows, or add '--port 7861' parameter to change the default listening port.

๐Ÿ’ก Why 3D Gaussian Splatting (Inria) is the Best Free Alternative to Luma AI & NeRF

A revolutionary real-time rendering framework capable of transforming simple location video sweeps into photorealistic, navigable 60fps 3D cinematic environments.

If you are tired of expensive monthly subscription fees and privacy concerns, 3D Gaussian Splatting (Inria) offers a completely free, open-source alternative. Running 100% locally on your computer (Windows, Mac, or Linux), it delivers high performance without export limits or cloud dependencies.

๐Ÿ“Š Comparison: 3D Gaussian Splatting (Inria) vs Free Alternative to Luma AI & NeRF

Feature / Metric3D Gaussian Splatting (Inria) (Free Open-Source)Free Alternative to Luma AI & NeRF (Paid)
Pricing Model100% Free Forever (โ‚น0)Paid Monthly Subscription
Data Privacy & Security100% Offline Local ComputerCloud Server Upload Required
System ControlFull Source Code & Custom ScriptsRestricted Closed Code
Community ExtensionsUnlimited GitHub PluginsLimited Official Marketplace
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๐Ÿ”— Source Code & Official Links

Finished reading the guide? You can inspect the source code or star the repository directly on GitHub below:

๐Ÿ”ฅ Related Open-Source Tools

Ajay K Meena
Written by Ajay K Meena
Cinematographer, Colorist & Director ยท Founder, Wedream Production

6+ years grading and shooting professionally in DaVinci Resolve โ€” from weddings and music videos to brand campaigns. Everything on this site is based on real production work, not recycled tutorials.