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Lightricks modelsvideo generation api

lightricks/ltx-2.5/text-to-video/pro

Ltx 2.5 Pro is Lightricks's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition.

Input
The prompt to use for the generated video
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
The resolution of the generated video. Allowed values: 720p, 1080p.
The duration of the generated video in seconds, up to 10 seconds. Set to 'auto' to let the model choose the duration automatically. Allowed values: 6, 8, 10.
Whether to generate audio for the generated video
The frames per second of the generated video. Allowed values: 24, 25, 50.
Optional camera motion applied to the generated video. Allowed values: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, focus_shift.
Idle

Example output — click Run to generate your own

API README

Ltx 2.5 Text to Video Fast

LTX 2.5 Text to Video Pro is the quality-focused route for creating a complete video shot from language alone. It interprets subject, action, environment, camera direction, lighting, and temporal progression without requiring an opening image, then renders at either 720p or 1080p. The Pro path fits shots selected for closer review, where teams value a more deliberate final pass over the broader resolution menu of the Fast route.

The request combines six-, eight-, or ten-second durations with optional audio generation, 24 or 25 fps output, camera-motion selection, and common cinematic or social aspect ratios. This narrower control surface gives editors a predictable way to create polished hero-shot candidates. Describe the beat sequence explicitly, keep lens and lighting language consistent, and compare controlled seeds or framing choices before approving a deliverable.

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 aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16); resolution choices (720p, 1080p); duration choices (6, 8, 10); generate_audio (Whether to generate audio for the generated video), 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

ConfigurationPrice
Billing rule(usage.duration ?? (params.duration == "auto" ? 10 : params.duration)) * (params.resolution == "720p" ? 0.138 : 0.196)
resolution=720p, duration=6$0.828000
resolution=720p, duration=8$1.104000
resolution=720p, duration=10$1.380000
resolution=1080p, duration=6$1.176000
resolution=1080p, duration=8$1.568000
resolution=1080p, duration=10$1.960000

When to Use

ScenarioWhy this model fits
Create the exact route outputChoose it when you need text-to-video generation and already have a shot description with subject, action, camera, and atmosphere.
Develop controlled variationsKeep the main brief fixed while changing one documented setting at a time to compare motion, framing, quality, or asset behavior.
Build repeatable batchesUse a consistent request shape for catalog, campaign, storyboard, game-asset, or social-content production.
Preserve source intentPrefer this route when the supplied reference material must remain the foundation of a coherent video interpretation of the written direction.
Connect a media pipelineUse asynchronous results in an automated review, approval, post-production, or asset-management workflow.

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": "Through-the-veil shot of a bride's face during an Indian wedding ceremony, camera positioned behind the sheer red dupatta fabric, the embroidered pattern creating a textured overlay on her face, her eyes lined with kohl looking down at henna-covered hands, marigold garlands in soft background bokeh, 85mm f/1.2 focused through the fabric layer, warm tungsten and candlelight, Mira Nair Monsoon Wedding intimacy",
  "aspect_ratio": "21:9",
  "resolution": "1080p",
  "duration": 6,
  "generate_audio": true
}

Technical Specs

SpecificationValue
Model IDlightricks/ltx-2.5/text-to-video/pro
WorkflowText-to-video generation
Required inputsprompt
promptstring
aspect_ratiostring; options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16
resolutionstring; options: 720p, 1080p
durationinteger; options: 6, 8, 10
generate_audioboolean
fpsinteger; options: 24, 25, 50
camera_motionstring; options: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, focus_shift

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