Pixel-Space Fidelity Rendering
A generation method that places keyframes where a shot needs them most, then diffuses the final frames straight in pixels. Compute lands on the hard moments, so wide vistas and tiny textures both hold up.
Seen across the LTX model ecosystem
Tomorrow's world models will see how things move, weigh cause and effect, anticipate the next frame, then act on it. Ltxai follows LTX AI because its weights stay open and the controls stay with you.
//Inside the lab
Fresh architectures, open releases, and outside studies pushing LTX AI world models further every quarter.
A generation method that places keyframes where a shot needs them most, then diffuses the final frames straight in pixels. Compute lands on the hard moments, so wide vistas and tiny textures both hold up.
LTX AI world models that let embodied agents imagine, navigate, and plan before they move in the real world.
Clinical and surgical models that recognise operating-room events and help teams train, monitor, and review procedures.
Editing, compositing, and steerable generation that give artists precise say over every shot and revision.
Scene building for game-ready spaces, from sprawling maps to single rooms, guided by layout and play intent.
Simulated roads and augmented footage that stress-test driving stacks against rare, risky scenarios.
Synthetic data and robustness work for settings where real footage is scarce or too sensitive to share.
//Field stories
Film studios, live-media platforms, and robotics labs ship production work on LTX AI, each tuned to its own pipeline.
Get startedA pretrained starting point you can adapt deeply for robot arms, simulators, and embodied agents.
“Robots must learn how the physical world behaves, not only how it looks. LTX AI gets closest of any open model we've tested, and running it on our own hardware makes it practical.”
Rhea Malhotra
Co-founder & CEO, Kinetra Robotics
Tune it into your pipeline and carry shots from rough cut to delivery-ready frames.
“Color-managed workflows won us over. The team builds tools that slot into our hybrid sets, listens to directors, and ships features that hold up on a real production.”
Julian Okafor
Executive Creative Director, Northlight Pictures
Fit it to your own servers and build avatars and apps that answer instantly.
“Live media only works when the model is quick, steerable, and ours to operate. Tuning it to our infrastructure puts responsive avatars in front of viewers everywhere.”
Matteo Ricci
Co-founder & CTO, Pulsewave
Native node graphs, multishot continuity, and generative edits built for finished output.
“Open models make better tools, faster. A developer can wire up a world-model graph in an afternoon, and a studio can move that same graph into production on its own machines.”
Hana Ito
Founder & CEO, Nodeforge
Personalise it into new styles, characters, and skills while keeping full ownership of the weights.
“We host dozens of community fine-tunes and the count climbs weekly. Nothing else we've tried bends this far. It isn't a black box; it behaves like a tool we steer.”
Daniel Brandt
Co-founder & CTO, Stackline
//Why teams rely on it
Open enough to become your own. Clear enough to run a business on LTX AI.
Create yoursInspect, extend, and retrain the model around your private data and in-house workflows.
Decide where inference happens, how it plugs into your stack, and which data it may touch.
Documented models and licence terms anyone on your team can read.
Privacy, infrastructure, and governance prepared for production, on a base you can audit and extend.
Explore LTX AI in the browser, embed it in your product, or operate the entire stack on your terms.
Watch a prompt become a finished clip and learn what the model handles best.
Try it now Build it inAdd video generation to your app without babysitting servers.
Start building Own the stackRun locally, fine-tune, and deploy on machines you control, under clear licence terms.
Get goingCreative tools now. Interactive agents soon. Physical systems after that.