The demand for high-quality, customizable video generation has never been greater. Industry professionals, AI researchers, and video and content creators need tools that not only deliver cinematic results, but also keep pace with today’s fast-evolving creative workflows. 

Enter LTXV—an open-source video model built for speed, realism, and creative control. This system stands out because it appeals to creatives looking to deepen their work with AI-generated video, while also supporting AI researchers and developers building real-time tools on scalable infrastructure.

LTXV delivers smoother motion, stronger visual consistency, and faster rendering—without sacrificing (or compressing) the details. It can generate five seconds of video in just two seconds, outperforming similar models and standing out as one of the only models to achieve faster than real-time video generation while maintaining high-resolution fidelity. 

This blog will explore what makes LTXV unique, break down its architecture, and share potential use cases for developers and creatives looking for more control, speed, or precision in AI video creation.

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What Is LTXV? A Family of Models Built for Creators and Developers

LTXV is a family of open source AI video models designed from the ground up to empower both creators and developers. It addresses a central challenge in modern content workflows: how to democratize access to high-quality, rapid, diffusion-based video generation—while keeping it flexible and customizable. 

Designed for the Next Generation of Creative Workflows

AI Filmmaking and Visual Prototyping

Designed for real-time performance and creative control, LTXV is the ideal AI filmmaking tool for content creators, studios, and filmmakers looking for a solution to accelerate concept development. While other tools sacrifice speed for precision, LTXV offers both—allowing fast iteration without compromising on quality. These new models can generate high-res videos in less time than it takes to watch the fully rendered video. This kind of unparalleled speed is powered by LTXV’s unique compression system: LTXV achieves its speed by compressing video data 192 times smaller than the original—far beyond what most models can handle. This drastically reduces the memory and compute required, but still preserves sharp visuals and smooth, consistent motion.

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VFX and Branded Content

With advanced visual fidelity and intuitive controls, LTXV integrates smoothly into production pipelines—making it a powerful solution for VFX shots, product previews, and branded content that demands cinematic polish. Most diffusion models use two steps to generate high-quality results, but LTXV skips the second step without making sacrifices. While most systems rely on a second-stage model to sharpen details, LTXV handles both decoding and final cleanup in a single step—delivering crisp, coherent visuals even under heavy compression. 

Developer and Research Use

AI researchers analyzing diffusion model video generation, and developers building with APIs, benefit from LTXV’s open architecture and plug-and-play design. At its core, LTXV combines two traditionally separate components—a Video-VAE and a denoising transformer—into a single integrated system. Unlike conventional diffusion systems, LTXV removes the need for patchifying the video stream—allowing more consistent temporal modeling and reduced processing complexity.

By focusing on accessibility and high performance, LTXV unlocks creative and technical possibilities for indie studios, enterprise teams, and the open-source community. Since it’s optimized to run on consumer-grade GPUs—not just massive data centers—anyone can try it, modify it, and build on it.

Explore the LTXV documentation for API access, architecture details, and user guides.

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Meet the Models: LTXV 2B, 2B Distilled, 13B, and 13B Distilled

The LTXV family is structured to give users the power to choose the right blend of speed, efficiency, and visual fidelity for their projects—whether you’re building a real-time tool or finishing a video sequence.

LTXV 2B

Best for: Balanced fidelity and speed

Highlights:

• Built on 2 billion parameters of data 
• Supports multiscale rendering and multi-keyframe workflows
• Delivers realistic motion and strong visual consistency 
• Efficient performance on both consumer and cloud GPUs
• Ideal for general use across creative and technical teams
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LTXV 2B Distilled

Best for: Lightning-fast workflows and real-time tools

Highlights:

• Supports up to 3x faster generation than the base 2B model
• Speed gains with minimal quality loss
• Perfect for interactive tools, previews, and development environments 
• Ideal for developers embedding AI video models into real-time apps
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LTXV 13B

Best for: Maximum quality and motion realism

Highlights:

• Built on a 13-billion parameter model for high-resolution output
• Delivers fine detail, smooth transitions, and frame-level consistency
• Open weights and codebase, supporting advanced integration
• Ideal for high-end production, VFX, and branded content
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LTXV 13B Distilled 

Best for: High-end cinematic workflows with faster iteration
Highlights:

• Built on a distilled 13-billion parameter model for faster performance
• Maintains high-quality output on par with the original 13B 
• Supports advanced keyframe control and shot expansion
• Optimized for cinematic use cases that demand visual consistency
• Balances high-end production output with the efficiency needed for fast creative iteration
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Tradeoffs to Consider

• Speed vs. Quality: The 2B Distilled model is perfect for rapid iteration or real-time rendering, while the 13B model delivers state-of-the-art results, especially when final polish is required.
• Hardware Requirements: All models run on consumer-grade GPUs (such as RTX 4090 and above), but larger models scale well to data-center infrastructure for intensive production.

All four models share the same compression ratio, no-patchifier architecture, and denoising—meaning you get consistent performance across the board. LTXV’s open-source video generator family is built to scale with your workflow.

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Under the Hood: What Powers LTXV

LTXV is an advanced AI video model that blends cutting-edge research in diffusion model video generation with performance enhancements designed for both visual quality and production speed—critical for both creatives and technical developers. Let’s explore the core technical features that make LTXV a one-of-a-kind AI video model.

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Multiscale Rendering

LTXV prioritizes motion first, then infuses detail using a multiscale rendering process. This approach ensures dynamic, believable movement is established before other details are refined. This helps creators generate fast drafts and iterate quickly, while final-stage upscaling sharpens the output for production use.

Spatial-Temporal Guidance (STG)

Flickering and frame inconsistency have long challenged AI video models. LTXV introduces spatial-temporal guidance to reduce flicker across frames, ensuring smoother motion and cohesive scenes, even in action or high-detailed sequences.

TeaChache Timestamps

By caching timestep embeddings, TeaCache enables inference that’s up to 2× faster. This enhancement is valuable for applications that demand rapid frame generation (like real time tools).

Q8 Kernel Optimization

Q8 optimization allows high-speed generation on GPUs with as little as 8GB of VRAM, making professional results accessible to independent filmmakers and smaller teams with fewer resources.

FlowEdit Inversion

LTXV supports frame-level post-editing through FlowEdit, a high-precision inversion method that allows for selective motion or content adjustments after generation. This gives creators fine control over their output without needing to start from scratch.

These innovations make LTXV one of the most accessible and performant AI video models available—supporting rapid iteration, creative precision, and real-time applications at scale.

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Explore the Code: LTXV on GitHub

LTXV is more than just an AI video model—it’s an open framework for experimentation, creative collaboration, and innovation. Because we’re  committed to this kind of democratized, open innovation, LTXV’s codebase is publicly available, empowering developers and new contributors access to build, experiment, and integrate.

As a video generation AI open-source framework, LTXV gives developers and creators full access to production-grade capabilities: explore the GitHub repository for LTXV 13B to dive into model architecture, APIs, and training tools, or read our comprehensive technical documentation for more on all our models.

Join the growing ecosystem of users and contributors through:

• ComfyUI workflows
• A dedicated Discord community for real-time discussions, troubleshooting, and community-based exploration
• API-ready design for custom tools, apps, or integrations
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Whether you’re a developer eager to push diffusion model research forward, a video professional seeking more control over your workflow, or an open-source contributor ready to collaborate, LTXV provides a powerful, flexible foundation for the future of video generation. By integrating cutting-edge video diffusion model design with scalable performance, LTXV redefines what’s possible in open-source video generation.

Explore, contribute, and create the next generation of visual content with LTXV.