LingBot-World is the leading open-source world model rivaling Google Genie 3. Generate interactive 3D environments in real-time at 16 FPS with 10+ minutes of temporal consistency. Built by Robbyant (Ant Group) for game development, embodied AI training, and autonomous driving simulation.
Game developers, robotics engineers, and AI researchers face critical limitations with existing world generation tools. LingBot-World was built to solve these problems.
Most AI video tools cap generation at 5-10 seconds. That's far too short for level design prototyping, training environments, or meaningful simulation. LingBot-World generates for 10+ minutes with full consistency.
Credit-based pricing drains budgets fast. Top models charge $12-15 per DAU, and failed generations still consume credits. LingBot-World is 100% free with no credit systemโrun unlimited generations.
Google Genie 3 remains in closed research preview with invite-only access. No self-hosting, no customization, no control over your training pipeline. LingBot-World is fully open-source under Apache 2.0.
LingBot-World is a state-of-the-art open-source world model developed by Robbyant, an embodied AI company within Ant Group. Unlike traditional video generation models, LingBot-World creates interactive, physics-based 3D environments that respond to user actions in real-time.
Think of LingBot-World as a "digital sandbox" that learns how the physical world worksโunderstanding gravity, object permanence, lighting, and spatial relationshipsโthen generates consistent, explorable worlds on demand.
From a single image or text prompt, LingBot-World generates explorable, interactive 3D environments in real-time. Control characters, change weather, trigger eventsโall with immediate visual feedback.
Every feature designed for real-world production use. Built for game developers, AI researchers, and robotics engineers who ship.
LingBot-World delivers smooth, fluid world generation at 16 frames per second. Interactive enough for real-time applications, prototyping, and live demonstrations.
PerformanceGenerate coherent environments for over 10 minutes. Objects persist, physics remain consistent, no drift or collapse. Move the camera away for 60 secondsโeverything stays where you left it.
Long-Term MemoryLingBot-World responds to user actions. Control characters via keyboard/mouse with immediate visual feedback. Perfect for training embodied AI, game NPCs, and autonomous agents.
InteractivePrecise control over camera position and movement using OpenCV transformation matrices. Define intrinsics, poses, and trajectories for cinematic exploration.
ControllabilityFrom photorealistic to stylized. Anime, pixel art, cartoon, realisticโone LingBot-World model handles diverse visual styles without additional training.
VersatileLingBot-World delivers the first frame in under 1 second. Rapid iteration for prototyping and real-time applications where latency matters.
SpeedDrop in any real-world image or game screenshot. LingBot-World generates an interactive world without scene-specific training or data collection.
FlexibilityTrigger environmental changes via text commands. "Add rain." "Sunset lighting." "Spawn enemies." LingBot-World interprets and executes in real-time.
PromptableApache 2.0 license. Deploy LingBot-World locally, modify freely, use commercially. No vendor lock-in, no credit system. Your infrastructure, your rules.
Open SourceIndustry-leading benchmarks for video quality, dynamics, consistency, and interactivity.
The open-source alternative that rivals Google's closed research model. Available now, no waitlist.
See how LingBot-World compares to every major world model and video generation tool on the market.
| Feature | LingBot-World | Google Genie 3 | Matrix-Game 2.0 | Decart Oasis | NVIDIA Cosmos |
|---|---|---|---|---|---|
| Open Source | โ Apache 2.0 | โ Closed | โ Open | โ Open | Partial |
| Frame Rate | 16 FPS | 24 FPS | 25 FPS | 20 FPS | Variable |
| Generation Duration | 10+ Minutes | Minutes | Minutes | Limited | Seconds |
| Public Access | โ Available Now | โ Invite Only | โ Available | โ Available | โ Available |
| Self-Hosting | โ Full Support | โ No | โ Yes | โ Yes | โ Yes |
| Credit System | โ None | Unknown | โ None | โ None | โ None |
| Action Conditioning | โ Full | โ Full | โ Full | โ Full | Limited |
| Camera Control | โ Pose Matrices | โ Yes | โ Yes | Basic | โ Yes |
| Zero-Shot | โ Yes | โ Yes | โ No | Limited | โ Yes |
| Commercial License | โ Unrestricted | โ Research Only | โ Yes | โ Yes | โ Yes |
From indie game studios to robotics labs, LingBot-World powers diverse real-world applications across industries.
Generate procedural levels, prototype game worlds, and create dynamic environments. 78% of game developers use Unity or UnrealโLingBot-World integrates with both engines.
Train robots in simulated environments before real-world deployment. LingBot-World provides physics-accurate worlds for reinforcement learning and sim-to-real transfer.
Generate diverse driving scenarios for testing AV systems. Edge cases, weather variations, rare eventsโall synthesized on demand with LingBot-World.
Create immersive environments for mixed reality applications. 25-30M active VR users globally are seeking fresh, interactive content experiences.
Choose the right LingBot-World variant for your use case. From camera control to action conditioning to real-time interaction.
Camera Pose Control
Action Conditioning
Real-Time Interaction
From zero to generating worlds in under 5 minutes. Simple setup, comprehensive documentation.
LingBot-World requires PyTorch >= 2.4.0 and Flash-Attention. Install via pip with CUDA support for GPU acceleration.
Get pre-trained LingBot-World weights from HuggingFace (robbyant/lingbot-world-base-cam) or ModelScope.
Provide an input image (JPG), text prompt, and optional camera control files (intrinsics.npy, poses.npy).
Run inference with your configured parameters. LingBot-World generates interactive video streams at 16 FPS.
# Step 1: Clone LingBot-World repository git clone https://github.com/Robbyant/lingbot-world.git cd lingbot-world # Step 2: Install dependencies pip install -r requirements.txt pip install flash-attn --no-build-isolation # Step 3: Download model weights from huggingface_hub import snapshot_download snapshot_download( repo_id="robbyant/lingbot-world-base-cam", local_dir="./models" ) # Step 4: Generate your first world from lingbot_world import WorldGenerator generator = WorldGenerator( model_path="./models", device="cuda" ) # Generate an interactive environment world = generator.generate( image="./input/castle.jpg", prompt="A medieval castle courtyard at sunset", frame_num=161, # ~10 seconds at 16 FPS resolution="480p" ) # Save the generated world world.save("./output/castle_world.mp4") print("LingBot-World generation complete!")
Built on a hybrid data engine combining real-world footage, game recordings, and Unreal Engine synthetic data.
Real-time 16 FPS generation with action-conditioned response
LingBot-World trains on diverse data: real-world video footage, game engine recordings (AAA titles), and synthetic scenes from Unreal Engine. This combination enables robust generalization across visual styles.
Proprietary architecture maintains long-term memory over 10+ minutes. Objects persist, spatial relationships remain consistent, and physics behaviors don't drift or collapse.
LingBot-World supports distributed inference via FSDP and DeepSpeed Ulysses. Scale from single GPU to 8ร A100/H100 clusters for maximum throughput and resolution.
Comparable to Google Genie 3 on key metrics. Leading performance in video quality, dynamics, and consistency.
Run unlimited LingBot-World generations. No surprise bills, no failed-generation charges, no monthly caps. You only pay for your compute.
Your data stays on your infrastructure. Critical for enterprise, defense, healthcare, and sensitive applications.
Fine-tune LingBot-World on your data. Modify the architecture. Integrate with your existing pipeline.
Active development, rapid bug fixes, and features driven by real user needs. Join the LingBot-World community.
Apache 2.0 license means you own your LingBot-World implementation. Switch, fork, or extend freely.
Join thousands of developers using LingBot-World to create intelligent, interactive worlds.
View on GitHubConnect with developers, researchers, and creators building with LingBot-World.
Works with popular game engines, ML frameworks, and cloud platforms.
LingBot-World is a world model, not a video generation tool. While video generators (like Sora) create passive, pre-rendered content, LingBot-World generates interactive 3D environments that respond to user actions in real-time. You can control characters, change weather, trigger eventsโall with immediate feedback at 16 FPS.
LingBot-World offers comparable capabilities to Genie 3 with key advantages: it's 100% open-source (Apache 2.0), available now without waitlist, and can be self-hosted. While Genie 3 runs at 24 FPS vs LingBot-World's 16 FPS, LingBot-World excels in temporal consistency (10+ minutes) and offers complete control over deployment.
Yes, absolutely. LingBot-World is released under the Apache 2.0 license, which permits commercial use, modification, and distribution without restrictions. You can integrate it into commercial games, offer services built on it, or modify it for proprietary applications.
LingBot-World requirements vary by model variant. The upcoming Fast version will run on consumer GPUs (RTX 3080+ with 16GB+ VRAM). The full 28B parameter Base model requires enterprise hardwareโtypically 8ร A100 or H100 GPUs for optimal performance. Cloud deployment guides are available for AWS, GCP, and Azure.
Yes. LingBot-World delivers sub-second first-frame latency and generates at 16 FPS, supporting real-time interaction for many applications. Users can control characters via keyboard/mouse with immediate visual feedback. Text commands trigger environmental changes like weather, lighting, and events in real-time.
LingBot-World offers three variants: 1) Base-Cam (available now) - supports camera pose control at 480P/720P; 2) Base-Act (coming soon) - supports action conditioning for embodied AI and games; 3) Fast (coming soon) - optimized for low-latency real-time interaction with sub-second response times.
Getting started with LingBot-World is simple: 1) Clone the GitHub repository; 2) Install dependencies (PyTorch >= 2.4.0, Flash-Attention); 3) Download model weights from HuggingFace; 4) Run inference with your input image and prompt. Full documentation and tutorials are available on GitHub and HuggingFace.
LingBot-World was developed by Robbyant, an embodied AI company within Ant Group. It's part of the LingBot series of AI models for embodied intelligence, alongside LingBot-VLA (vision-language-action) and LingBot-Depth (spatial perception). The project is open-sourced under Apache 2.0 to benefit the broader AI and game development community.
Choose the right setup for your use case and budget.
| Tier | GPU | VRAM | Resolution | Model | Use Case |
|---|---|---|---|---|---|
| Basic | RTX 3080/4080 | 16GB+ | 480P | Fast (coming) | Prototyping, demos |
| Recommended | RTX 4090 / A6000 | 24GB+ | 480P-720P | Base-Cam | Development, testing |
| Optimal | 8ร A100/H100 | 80GB+ per GPU | 720P | Full Base | Production, research |
Additional requirements: PyTorch >= 2.4.0 โข Flash-Attention โข CUDA 11.8+
No subscriptions, no credits, no hidden costs. Open source forever.
What's next for LingBot-World. Community-driven development priorities.
Initial open-source release with camera pose control. 480P/720P resolution support. Full technical report and arXiv paper published.
Action conditioning support for embodied AI and game development. Train agents that respond to user inputs and environmental triggers.
Optimized model for real-time interaction. Sub-second latency, consumer GPU support. Perfect for interactive demos and rapid prototyping.
Native plugins for Unity and Unreal Engine. REST API for cloud deployment. SDK for Python, JavaScript, and C++.
LingBot-World revolutionized our game prototyping workflow. We can now generate playable level concepts in minutes instead of days. The 10+ minute consistency is game-changing.
Finally, an open-source alternative to Genie 3 that we can actually use. Self-hosting LingBot-World on our infrastructure was straightforward, and the results are impressive.
The zero-shot generalization is incredible. We dropped in screenshots from our game and LingBot-World immediately understood the visual style. No fine-tuning needed.
Robbyant, an Ant Group subsidiary, releases LingBot-World as open-source under Apache 2.0 license. Code, weights, and technical report now available.
Full technical report detailing LingBot-World architecture, training methodology, and benchmark results published on arXiv (2601.20540).
LingBot-World Base-Cam model weights now available for download on HuggingFace and ModelScope. Start generating worlds today.
Simple, intuitive API for generating interactive worlds.
from lingbot_world import WorldGenerator # Initialize LingBot-World generator = WorldGenerator( model_path="robbyant/lingbot-world-base-cam", device="cuda", resolution="720p" ) # Generate an interactive world result = generator.generate( image="./input.jpg", # Input image (JPG) prompt="A vibrant forest path", # Text description frame_num=481, # ~30 seconds at 16 FPS camera_poses="./poses.npy", # Optional camera control intrinsics="./intrinsics.npy" # Optional camera params ) # Save the generated world result.save("./output/forest_world.mp4")
Join the open-source world model revolution. Generate interactive environments for 10+ minutes at 16 FPS. Deploy anywhere, control everything. 100% free under Apache 2.0.
No credit card required โข Apache 2.0 license โข Self-host anywhere โข Unlimited generations