Multimodal Video Generation Model

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.

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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.

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.

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:

• The LTX API (managed, usage-based)
  
  
• Open model weights (self-hosted or customized)
  
  

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

 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.

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.

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.

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.

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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.

• 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

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.

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LTX-2.3 is our latest model — delivering sharper output, native portrait video, improved prompt adherence, and cleaner audio. Learn more about LTX-2.3