LTX-2.3 Examples Video
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Robotics & Physical AI

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Open world models for physical AI

Train on worlds you generate. Deploy on hardware you choose. Our open world model is built for synthetic data, simulation, and physical AI, fine-tuned on your environments and running on your infrastructure.

33M+

Downloads on HuggingFace

12GB+

Runs locally on 12GB VRAM

1 GPU

Near real-time generation

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Why LTX

**From simulation** to action

One open foundation for every stage of the physical AI journey, from simulation to world-action models.

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Teaching robots how the world behaves

"Training robots means teaching them how the physical world actually behaves, not just what it looks like. LTX-2.5 is the open model that gets closest to that for us, and being able to run and fine-tune it on our own hardware is what makes it usable for real robotics work. We have not found another open model that does this for us the way this one does."

Atharva Gundawar
Co-founder & CEO, Markov Robotics
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Capabilities

**Built for** real-world physical AI

Physical understanding

Generate motion, interactions, and real-world dynamics to produce simulation-ready robotics data.

Controllable generation

Guide generation with motion, depth, pose, camera, and other conditioning signals, so every trajectory matches what you need to train on.

Pretrained for deep adaptation

Start from a pretrained foundation designed for extensive fine-tuning. Adapt LTX to your environments, sensors, and robotics tasks without rebuilding the model from scratch.

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Security & IP

**Built for** enterprise ownership

Deploy LTX with the flexibility enterprises need, from permissive licensing and open deployment to full ownership of your IP and infrastructure.

  • Deploy on-prem or in your private cloud.

  • Fine-tune, deploy, and commercialize under permissive licensing.

  • Run on any hardware, with no vendor lock-in.

  • Keep models and IP under your control with self-hosted deployment.

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Research

Explore the research behind LTX

Go beyond the demos. Discover the research, architecture, and technical breakthroughs behind LTX's open world models.

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Resources

**Learn more about** LTX for robotics

Explore how LTX helps robotics teams generate synthetic data, fine-tune world models, and build the foundation for physical AI.

Introducing LTX as an Open World Models Company

LTX announces its evolution into an open world models company, building foundational AI that understands and simulates physical reality for film, robotics, and industry

Why Train Your Own AI Video Model? Control, IP Protection, and Custom Pipelines

Why train your own AI video model with LTX Trainer: control over the weights, local training data, custom pipelines, and no per-generation API billing.

Open Source Video Generation Models (2026 Landscape Guide)

Compare the top open source video generation models in 2026. LTX-2.5, WAN 2.2, HunyuanVideo, and CogVideoX. Covers VRAM requirements, licensing, and how to choose for your workflow.

Training Your First LoRA on LTX

A practical guide to training your first LoRA on LTX-2.3, covering dataset prep, LoRA type selection, baseline settings, validation, and common debugging steps.

Using LoRA Adapters with LTX-2.5: A Developer Guide

Use LoRA adapters with the LTX-2.5 open-source pipeline for custom AI video generation. Covers standard, audio-video, and IC-LoRA types with setup instructions.

Hardware Guide for AI Video Models: GPU Recommendations by Use Case

Match your AI video workload to the right GPU. VRAM tiers, FP8 quantization, and LTX-2.3 picks for preview, production, and LoRA training.

Understanding Temporal Consistency In AI Video: Why It’s The Hardest Problem

Learn what temporal consistency means in AI video generation, why it's the hardest problem to solve, and how modern architectures address it.

Own your physical AI stack.

Talk to us about fine-tuning LTX for your robots, or start with the open weights today.