LTX-2 is a 19-billion-parameter open-source video foundation model (14B video + 5B audio) that generates synchronized high-resolution video and audio in a single pass. It supports native 4K (3840×2160) at up to 50 FPS and video clips up to 20 seconds, with multimodal inputs including text prompts, images, depth maps, keyframes, and short reference videos. The model provides native audio synthesis—dialogue, ambient sounds, music and Foley—aligned to visual events. LTX-2 is optimized for efficient inference (NVFP4/NVFP8) and shipped under Apache 2.0 so teams can download weights, fine-tune, deploy locally, or use the hosted web generator (credits required).

Wan 2.5 is a cutting-edge AI video generation platform providing native multimodal capabilities for synchronized audio and video creation. It supports inputs from text, images, video, and audio to generate cinematic quality 1080p HD videos with precise audio syncing including vocals and sound effects. With an open-source Apache 2.0 license, Wan 2.5 is optimized for consumer GPUs and designed for a wide range of applications, including cinematic production, AI research, interactive education, and creative prototyping. It continuously improves through reinforcement learning from human feedback for enhanced quality and user experience.