Orbis
University of Freiburg · Released July 2025
A driving world model from the University of Freiburg that predicts long front-camera video rollouts from a few past frames, built to keep long-horizon predictions from degrading. Code and checkpoints are released under MIT.
- Weights
- Open weightsMIT
- Commercial use
- Permissive license
- Real-time
- No real-time claim
- Where to try
- Run it yourself
01 Controls
What you control
- A few past frames from a car's front camera
- How many future frames to generate
02 License
Can you use it commercially?
The weights' model card declares MIT, a permissive license that allows commercial use. Check what the model was built on, because a base model's terms can still apply.
Declared license: MIT · Model card
A reading of the published license text, not legal advice.
03 Speed
Does it run in real time?
No real-time claim. The cited sources make no real-time claim.
Figures are the authors' own, with their settings and hardware. They are not comparable across models.
04 Setup
How to run it
- 01Clone lmb-freiburg/orbis and create the conda environment from environment.yml.
- 02Download the tokenizer and world model checkpoints from Hugging Face and place them in the experiment folders.
- 03Run evaluate/rollout.py on the example input frames, or point a config file at your own frames.
Summarised from the project's own instructions. Follow the source for exact commands and versions.
05 Access
Where to try it
No hosted version was verified. Run the published weights yourself.
Listed alphabetically. Windflow maintains this directory and is one of the hosts; a listing does not promise capacity at any given moment.
06 Questions
Orbis FAQ
Is Orbis open source?
Orbis publishes downloadable weights under MIT. The declared license is permissive.
Can I use Orbis commercially?
The weights' model card declares MIT, a permissive license that allows commercial use. Check what the model was built on, because a base model's terms can still apply.
Does Orbis run in real time?
The cited sources do not claim real-time operation.
Where can I try Orbis?
No hosted version was verified; run the published weights yourself.
What does Orbis take as input?
You give it a few past frames from a car's front camera and how many future frames to generate.
How do I run Orbis?
Following the official instructions: Clone lmb-freiburg/orbis and create the conda environment from environment.yml. Download the tokenizer and world model checkpoints from Hugging Face and place them in the experiment folders. Run evaluate/rollout.py on the example input frames, or point a config file at your own frames.
What are alternatives to Orbis?
Similar models in this directory include comma.ai world model 4B (open weights, permissive license), Oasis 3 (no public weights, service terms) and Orbis 2 (open weights, permissive license).
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