LTX-2

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LTX-2 is a multimodal audio-video foundation model that creates synchronized video and sound within a single diffusion-based pipeline, designed from the ground up for practical, local execution and real production workloads. The model natively delivers 4K video with realistic motion, strong frame-to-frame coherence, and accurate lip-synced dialogue, so users can focus on directing scenes instead of fixing jitter, timing, or audio alignment in post. With depth-aware generation, OpenPose-driven motion and camera-aware logic, creators can influence structure, movement, and camera behavior intentionally, instead of leaving results to chance. LTX-2 is open-source, with model weights, code, and research resources available for inspection, local deployment, and customization, giving teams long-term ownership and freedom from vendor lock-in. It accepts text, image, video, audio, and depth as inputs, supporting workflows like text-to-video, image-to-video, and precise video editing or retakes through a scalable API or self-hosted stack. Built on a distilled hybrid architecture, LTX-2 is optimized for speed and throughput, letting users choose between faster iterative flows and higher-detail modes while still maintaining consistent style and identity over longer clips. This balance of performance, quality, and openness makes it suitable for individual creators, studios, platforms, and enterprises who need reliable, production-grade AI video generation at scale.