LTX Video (preview)

LTX Video (preview) is a LTX route built for text-to-video generation. It turns a shot description with subject, action, camera, and atmosphere into a coherent video interpretation of the written direction, giving creators a focused endpoint instead of forcing one generic workflow across materially different production tasks. The route belongs to a family known for audio-visual timing, cinematic motion, and shot-level controllability, so it is best evaluated as a creative system for intentional shots and assets rather than as a one-click novelty generator.

Use this endpoint when the input contract and deliverable match that job exactly. Its documented controls include seed (The seed to use for random number generation); guidance_scale (The guidance scale to use); num_inference_steps (The number of inference steps to take). Together, these controls help teams plan predictable iterations, compare outputs under stable settings, and connect generation to iterative film, advertising, and social-video workflows without hiding the operational choices that shape the result.

Highlights

• Purpose-built Text-to-video generation. The route accepts a shot description with subject, action, camera, and atmosphere and produces a coherent video interpretation of the written direction; its interface is scoped to that transformation, keeping source assets and creative intent explicit.
• Creative direction. Prompts can describe subject behavior, composition, camera intent, lighting, material, atmosphere, and temporal progression so the result is driven by a shot plan rather than isolated keywords.
• Route-specific control. The request exposes seed (The seed to use for random number generation); guidance_scale (The guidance scale to use); num_inference_steps (The number of inference steps to take), allowing the same concept to be tested systematically while preserving a repeatable production setup.
• Pipeline-ready output. The generated media asset is returned through the documented asynchronous output contract, which suits review queues, batch iteration, and downstream automation. Editors can review pacing, continuity, lens language, choreography, transitions, temporal artifacts, soundtrack alignment, color response, delivery framing, and cut compatibility before approval.

Pricing

When to Use

Prompt Guide

Start with the desired result, then describe the source relationship, subject action, composition or camera behavior, lighting, style, and timing. For text-to-video generation, state what must remain stable as clearly as what should change. Use only fields exposed by the schema; the example below is structurally valid for this route.

{
  "prompt": "A man stands waist-deep in a crystal-clear mountain pool, his back turned to a massive, thundering waterfall that cascades down jagged cliffs behind him. He wears a dark blue swimming shorts and his muscular back glistens with water droplets. The camera moves in a dynamic circular motion around him, starting from his right side and sweeping left, maintaining a slightly low angle that emphasizes the towering height of the waterfall. As the camera moves, the man slowly turns his head to follow its movement, his expression one of awe as he gazes up at the natural wonder. The waterfall creates a misty atmosphere, with sunlight filtering through the spray to create rainbow refractions. The water churns and ripples around him, reflecting the dramatic landscape. The handheld camera movement adds a subtle shake that enhances the raw, untamed energy of the scene. The lighting is natural and bright, with the sun positioned behind the waterfall, creating a backlit effect that silhouettes the falling water and illuminates the mist.",
  "seed": 1,
  "guidance_scale": 3,
  "num_inference_steps": 30
}

Technical Specs

Related Models

• lightricks/ltx-video/image-to-video