The leading open-source world model rivaling Google Genie 3. Generate interactive environments for minutes, not seconds. Deploy anywhere, control everything.
From GDC 2025 surveys and developer feedback, three critical pain points emerge in existing world generation tools.
Most AI video tools cap generation at 5-10 seconds—far too short for level design, training environments, or meaningful simulation.
Credit systems drain faster than expected. Top models cost $12-15 per daily active user. Failed generations still consume credits.
Genie 3 remains in closed research preview. No self-hosting, no customization, no control over your training pipeline.
Built for developers who ship. Every feature designed for real-world production use.
Smooth, fluid world generation at 16 frames per second. Interactive enough for real-time applications.
PerformanceGenerate coherent environments for 10+ minutes. Objects persist, physics remain consistent, no drift.
DurationWorlds respond to agent actions. Perfect for training embodied AI, game NPCs, and autonomous systems.
InteractiveFrom photorealistic to stylized. Anime, pixel art, realistic—one model handles diverse visual styles.
VersatileApache 2.0 license. Deploy locally, modify freely, no vendor lock-in. Your infrastructure, your rules.
Open SourceFirst frame in under 1 second. Rapid iteration for prototyping and real-time applications.
SpeedSee how LingBot-World stacks up against other world models and video generation tools.
| Feature | LingBot-World | Google Genie 3 | Runway GWM | Decart Oasis |
|---|---|---|---|---|
| Open Source | ✓ Apache 2.0 | ✗ Closed | ✗ Closed | ✓ Open |
| Frame Rate | 16 FPS | 24 FPS | Real-time | 20 FPS |
| Generation Duration | Minutes | Minutes | Variable | Limited |
| Public Access | ✓ Available Now | ✗ Invite Only | ✓ Paid | ✓ Free |
| Self-Hosting | ✓ Full Support | ✗ No | ✗ No | ✓ Yes |
| Credit System | ✓ None | Unknown | ✗ Credits | ✓ None |
| Action Conditioning | ✓ Yes | ✓ Yes | Limited | ✓ Yes |
From indie game studios to robotics labs, LingBot-World powers diverse applications.
Generate procedural levels, prototype game worlds, and create dynamic environments. 78% of game devs use Unity or Unreal—LingBot-World integrates with both.
Train robots in simulated environments before real-world deployment. Physics-accurate worlds for reinforcement learning and sim-to-real transfer.
Generate diverse driving scenarios for testing AV systems. Edge cases, weather variations, and rare events—all synthesized on demand.
Create immersive environments for mixed reality applications. 25-30M active VR users globally seeking fresh content experiences.
Install LingBot-World and generate your first world with just a few lines of code.
# Install LingBot-World pip install lingbot-world # Generate your first world from lingbot_world import WorldGenerator # Initialize the model generator = WorldGenerator(model="lingbot-world-base") # Generate an interactive environment world = generator.generate( prompt="A medieval castle courtyard at sunset", duration="60s", fps=16, resolution="720p" ) # Save or stream the output world.save("castle_world.mp4")
Run unlimited generations. No surprise bills, no failed-generation charges, no monthly caps.
Your data stays on your infrastructure. Critical for enterprise, defense, and sensitive applications.
Fine-tune on your data. Modify the architecture. Integrate with your existing pipeline.
Active development, rapid bug fixes, and features driven by real user needs.
Apache 2.0 license means you own your implementation. Switch, fork, or extend freely.
Join thousands of developers using LingBot-World to create intelligent, interactive worlds.
View on GitHubA world model is an AI system that learns to simulate and predict how environments behave over time. Unlike video generation models that create passive content, world models generate interactive environments that respond to actions—making them ideal for game development, robotics training, and simulation.
While Genie 3 operates at 24 FPS with impressive quality, it remains in closed research preview with invite-only access. LingBot-World offers comparable capabilities (16 FPS, minute-level consistency) as a fully open-source solution you can deploy today. No waitlist, no credit system, full control.
LingBot-World offers multiple model sizes. The Fast version runs on consumer GPUs (RTX 3080+), while the full 28B parameter model requires enterprise hardware (A100/H100). Cloud deployment guides are available for AWS, GCP, and Azure.
Yes. LingBot-World is released under the Apache 2.0 license, which permits commercial use, modification, and distribution. You can integrate it into commercial products, offer services built on it, or modify it for proprietary applications.
Yes. With sub-second first-frame latency and 16 FPS generation, LingBot-World supports real-time interaction for many applications. Action-conditioned generation means the world responds to inputs, making it suitable for interactive demos, game prototyping, and training environments.
Start with our Quick Start guide: install via pip, load a pre-trained model, and generate your first world in under 5 minutes. Full documentation, tutorials, and example projects are available on our GitHub and Hugging Face pages.
Join the open-source world model revolution. Generate for minutes, not seconds. Deploy anywhere, control everything.
No credit card required • Apache 2.0 license • Self-host anywhere