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Lightricks modelsvideo generation api

lightricks/ltxv-13b-098-distilled

Ltxv 13b 098 Distilled by Lightricks - generate cinematic videos from text descriptions with AI. Create high-quality video content with natural motion, camera control, and optional audio generation.

Input
Text prompt to guide generation
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.
Resolution of the generated video. Allowed values: 480p, 720p.
Random seed for generation
Whether to reverse the video.
Enter a JSON array.
Idle

Example output — click Run to generate your own

API README

LTX-Video 13B 0.9.8 Distilled

LTX-Video 13B 0.9.8 Distilled 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 (Random seed for generation); resolution choices (480p, 720p); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16); reverse_video (Whether to reverse the video). 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 (Random seed for generation); resolution choices (480p, 720p); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16); reverse_video (Whether to reverse the 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 ruleparams.detail_pass ? params.duration * 0.04 : params.duration * 0.02
Formula-priced requestStarts from $0.020000; final charge follows the billing rule above

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": "A cinematic fast-tracking shot follows a vintage, teal camper van as it descends a winding mountain trail. The van, slightly weathered but well-maintained, is the central focus, its retro design emphasized by the motion blur. Medium shot reveals the dusty, ochre trail, edged with vibrant green pine trees. Close-up on the van's tires shows the gravel spraying, highlighting the speed and rugged terrain. Sunlight filters through the trees, casting dappled shadows on the van and the trail. The background is a hazy, majestic mountain range bathed in warm, golden light. The overall mood is adventurous and exhilarating. High resolution 4k movie scene.",
  "seed": 1,
  "loras": [],
  "resolution": "720p",
  "aspect_ratio": "21:9"
}

Technical Specs

SpecificationValue
Model IDlightricks/ltxv-13b-098-distilled
WorkflowText-to-video generation
Required inputsprompt
seedinteger
lorasarray
promptstring
resolutionstring; options: 480p, 720p
aspect_ratiostring; options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16
reverse_videoboolean

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