LTX-2 by Lightricks
First open-source 4K AI model for synchronized video and audio generation.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Sep 02, 2026
Overview
What is LTX-2 by Lightricks?
LTX-2 is a state-of-the-art, production-ready AI foundation model developed by Lightricks for generating synchronized audiovisual content. It is the first fully open-source, open-weights AI model that supports native 4K resolution (2160p) video generation at up to 50 FPS, along with synchronized audio generation (including dialogue, ambient sounds, and music). Powered by a 19B parameter Diffusion Transformer (DiT) architecture, LTX-2 supports text-to-video and image-to-video generation, creating clips up to 20 seconds long. It is optimized for NVIDIA GPUs, offering 3x faster performance on RTX 50 Series.
What is LTX-2 by Lightricks used for?
Top Features
- Native 4K Resolution (2160p) at up to 50 FPS
- First open-weights model for synchronized audio and video generation
- Supports Text-to-Video and Image-to-Video transformation
- Generates extended clips up to 20 seconds with temporal coherence
- Fully open-source under Apache 2.0 license (weights, code, inference pipeline)
- NVIDIA Optimized for up to 3x faster performance and VRAM reduction
How to use LTX-2 by Lightricks?
LTX-2 can be used by accessing the interactive demo directly in the browser, or by deploying the fully open-source model locally using the provided weights, training code, and inference pipeline available on GitHub and Hugging Face. Users can transform text prompts or static images into dynamic video content, utilizing features like multi-keyframe conditioning for advanced control. Deployment is also possible via cloud APIs like Fal, Replicate, and RunDiffusion.
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Pros & Cons
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Use Cases
- Content Creation (stock footage, social media content, marketing videos)
- Film & Animation (pre-visualization, VFX reference footage, storyboard animation)
- Education & Training (instructional videos, simulation content)
- Research & Development (AI research experiments, synthetic data generation)
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