LTX-2 19B Video · Native Audio · 20s Clips

LTX-2 · From 5 to 20 seconds · Open-source audio-video foundation model · Native audio sync · Flexible generation supported

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LTX-2 19B Video Samples - Gallery

Explore cinematic motion, longer coherent shots, and audio-locked moments using LTX-2.

Cinematic push-in with stable depth and motion

20-second coherent shot for storyboards and previews

Native audio aligned to impacts, motion, and ambience

Dialogue-style scenes with synchronized delivery

What is LTX-2 19B?

LTX-2 is a DiT-based audio-video foundation model designed for high-fidelity video with synchronized audio. Instead of generating sound as an afterthought, LTX-2 is built to couple motion and sound in one system—aiming for clips that feel more like a camera capture than a weightless animation.

  • Native Audio-Visual Coupling
    Audio and video are generated as a coordinated pair, helping effects, ambience, and timing land on the right frames.
  • 5–20 Second Generation
    Generate longer clips (up to 20 seconds) for narrative beats, product demos, and rapid storyboarding.
  • Text-to-Video & Image-to-Video
    Start from a prompt for fast ideation, or use an image to anchor composition and style while you explore motion.

LTX-2 Key Features

Built for creators who want higher fidelity, steadier motion, and audio that belongs to the scene.

Stable, Camera-Like Motion

Reduced jitter and fewer 'jello' artifacts help scenes feel heavier and more physically consistent.

Synchronized Native Audio

Audio generation is integrated into the model, improving alignment between action and sound.

Up to 20s Clips

More temporal runway for short narratives, sequences, and pacing—beyond quick 3–5 second demos.

480p / 720p / 1080p Options

Choose a resolution tier that fits your budget and quality target for ads, socials, or previews.

Open Ecosystem + Quantization

As an open release, the community can deliver quantized variants that reduce VRAM requirements for local runs.

LoRA-Friendly Control

LTX-2 supports LoRA-based control in advanced workflows, enabling more directed camera intent and style targeting.

How to Generate with LTX-2

A practical workflow for higher-quality results—iterate fast, then refine.

Use Cases

Where LTX-2 Works Best

Best for motion-heavy scenes, audio-locked moments, and longer coherent shots.

Cinematic Motion Studies

Prototype camera moves and pacing with more stable motion that feels closer to real footage.

Storyboards & Mini Narratives (Up to 20s)

Use longer clips to explore beats, transitions, and narrative continuity before you commit to production.

Audio-Driven Moments

When timing matters—impacts, ambience changes, or dialogue-like delivery—native audio helps preserve immersion.
FAQ

LTX-2 19B - Frequently Asked Questions

Have another question? Contact contact@sora2.center for help with LTX-2 generation.

1

Does LTX-2 generate audio automatically?

LTX-2 is designed as an audio-video model, so audio is generated as part of the output. The exact quality and consistency can vary by scene; try multiple runs for the best sync and ambience.

2

How long can LTX-2 clips be?

On Imagenter AI, LTX-2 supports 5–20 second clips. Longer clips give more narrative space, but can require more iteration to lock in framing and motion.

3

What resolutions are supported?

LTX-2 supports 480p, 720p, and 1080p generation options. Higher resolution generally costs more credits and may take longer to generate.

4

Can I run LTX-2 locally?

Yes—if you have the hardware. Full-precision runs can require high VRAM, while quantized community variants may fit on 24GB GPUs. If you don't want to manage VRAM and setup, you can generate directly on Imagenter AI.

5

What is LTX-2's content policy on Imagenter AI?

LTX-2 runs with a flexible content policy designed to reduce unnecessary prompt rejections. You still must follow our Terms and applicable laws — some prohibited content may be rejected.

6

How do I improve results?

Be explicit about camera, action, and environment. If motion looks great but composition drifts, tighten subject framing and reduce competing details. Iteration is normal—treat it like picking the best take.