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LTX Models Overview

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Multimodal video generation model

A production-grade foundation model deployable via API, on-prem, or open weights.

Licensing

LTX-2.5 is fully open source, free for companies under $10M in revenue. For teams building at scale, we offer a commercial license tailored to your product, infrastructure, and support needs.

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API

Production-ready infrastructure for teams shipping AI into real products, with predictable performance, clear pricing, and zero guesswork.

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LTX-2.5

Native multi-shot scenes. Real footage, editable. Cinema-grade EXR. A base built to be fine-tuned. The foundation, stronger.

LTX-2.3 Examples Video
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Our Vision

We believe creative systems should be reliable enough for real production, flexible enough to adapt to different workflows, and open enough to improve through use. This is why we’re building an open, production-grade system for cinematic, synchronized audio–video creation.

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Innovation

Research

Research

LTX-2.5 is built on a 22B-parameter asymmetric dual-stream diffusion transformer. The weights and code are publicly available.

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WHAT'S NEW

Meet LTX-2.5, an open world model.

LTX-2.5 renders cinema-grade detail, holds character and continuity across connected shots, and reconstructs sharper faces and legible text. It ships with a pretrained checkpoint for deep fine-tuning. Built for creative production, real-time experience, and physical AI.

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Open Source

Open source,
by design

An open source video generation model built to evolve in the real world. Excellence doesn’t happen in isolation. It emerges through real use, iteration, and collaboration. Open source is how we raise the bar — together.

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Open by default

Model weights, code, and core tooling are openly available for inception, extension, and reuse.

Excellence through collaboration

Improvement driven through real-world usage, iterative experimentation, and community driven collaboration.

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Built on LTX

LTX Desktop.
Running on your machine.

A full video editor built on the LTX-2.5 engine, running locally on your hardware. Open weights, no cloud dependency, released as open software. Run it locally or integrate the engine via API

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LTX-2.5 Model

LTX-2.5 is here. Sharper, faster, yours to build on.

A stronger foundation for the worlds already being built on LTX. Native multishot, precise editing, and 4K HDR output, built to hold up from first draft to final render. Learn More →

Multishot

Generate connected scenes, not single clips. Hold character, environment, lighting, and voice consistent across wide, medium, and close-up shots in one generation.

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Auto Duration

Let the model set the pace. Clip length is predicted from the described action, so scenes land at the right duration without manual tuning.

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Native HDR

Generate high-resolution HDR footage built for professional finishing. Output drops straight into your grading and color pipeline, ready for the big screen.

Volcano erupting with lava flowing down dark rocky terrain under a dusky sky.

Diffusion Fidelity Rendering

Generate every scene from a grid of high-fidelity keyframes that focus detail where it matters most. Get industry-leading pixel quality that holds up frame by frame, even on a cinema screen.

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Customer Voices

"The industry has long needed a bridge between generative AI and professional finishing standards. By moving past 8-bit SDR, we’ve eliminated the technical gap that kept AI assets from being used on high-fidelity displays and within complex spatial experiences. We’re no longer compromising on bit depth; we’re finally getting the dynamic range required for cinematic immersion in XR and virtual production. In the past, AI-generated content was a black box; you couldn't relight it or grade it without the image falling apart. Now, these assets behave like the real world, carrying the dynamic range needed to sit alongside traditionally captured elements. This gives our teams a professional-grade toolkit to integrate generative AI into their creative process."

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FAQs

What are LTX Models?

LTX Models are multimodal video generation models designed for developers and product teams. They combine text, image, and video inputs to generate, animate, and edit video through a scalable API, enabling workflows like text-to-video, image-to-video, and selective video editing.

What can I build with LTX Models?

LTX Models can be used to build production-grade video systems, not just demos.

Common use cases include:

  • Text-to-video and image-to-video generation
  • Automated video editing, retakes, and refinement
  • Creative tools and content platforms
  • Internal production pipelines for studios, brands, and agencies
  • AI-powered video features embedded inside larger products

LTX is designed to integrate directly into existing workflows — via API, open weights, or custom deployments.

Who are LTX Models built for?

LTX Models are built for teams that need reliable, scalable video generation, including:

  • Developers and startups building AI-powered video products
  • Creative platforms and AI hubs aggregating multiple models
  • Studios, agencies, and in-house production teams
  • Enterprises integrating video generation into real production systems
  • Academic and research groups working with open, inspectable models

If you need predictability, control, and the ability to ship — LTX is designed for you.

Can I integrate LTX Model into my own product or platform?

Yes.
Many teams use LTX Model as a core capability inside their own products — either as a primary feature or as an embedded service.

You can integrate LTX Model via:

This makes LTX Model suitable for both startups and large platforms that need flexibility around deployment, pricing, and control.

Is LTX Model suitable for real production use?

 LTX Model is designed for production workloads, with a focus on:

  • Stable, predictable outputs
  • Long-form video generation
  • Consistent quality across runs
  • Performance that scales from small teams to large deployments

This is not a research demo or experimental-only release.

How does open source fit into LTX Models?

LTX is open by design.

Model weights, core code, and tooling are available for inspection, extension, and reuse.
Teams can:

  • Run LTX locally or on their own infrastructure
  • Fine-tune and customize models for specific domains
  • Integrate deeply without vendor lock-in

For many organizations, this openness is critical for trust, experimentation, and long-term ownership.

Can LTX Model be deployed on-prem or in isolated environments?

Yes.
LTX Model supports self-hosted and isolated deployments for organizations with strict requirements around:

  • Data privacy
  • Security
  • Regulatory compliance
  • IP protection

This makes it suitable for enterprise, financial, governmental, and other sensitive environments.

Is LTX Model only for video generation?

Video is the core focus today, but LTX Model is built as a multimodal system.

It supports workflows that combine text, images, audio, and video, and is designed to expand as multimodal capabilities evolve.

Why is LTX Model is the best video model?

LTX Model is built around three principles:

  • Production readiness — designed to work reliably, not just impress
  • Openness and control — inspectable, modifiable, and deployable
  • Integration-first design — meant to live inside real products and workflows

For many teams, this combination is what makes LTX Model viable beyond experimentation.

Where should I start?

  • If you want a managed experience: start with the LTX API
  • If you want full control: explore the open model weights
  • If you’re evaluating for production: review the documentation and examples

Is the LTX Model free to try?

Yes. You can try LTX for free using the LTX Playground, where you can explore the models, generate videos, and experiment with different inputs before integrating the API into your product.

What is the latest LTX model?

LTX-2.5 is our latest model — delivering higher fidelity output, native multi-shot scenes, editing of real footage, and a pretrained base teams can adapt to their own domain. Learn more about LTX-2.5

Real usage, real constraints, real outcomes

Shared and discussed by those building with the model