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Lightricks modelsvideo generation api

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

Ltx 2.5 Fast 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
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, 1440p, 2160p.
The duration of the generated video in seconds. At 720p and 1080p, 24 or 25 FPS supports up to 20 seconds, while 48 or 50 FPS supports up to 10 seconds. At 1440p and 2160p, all frame rates support up to 10 seconds. Set to 'auto' to let the model choose the duration automatically. Allowed values: 6, 8, 10, 12, 14, 16, 18, 20.
Whether to generate audio for the generated video
The frames per second of the generated video. Allowed values: 24, 25, 48, 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 Fast is the speed-oriented prompt-to-clip route in the 2.5 family. It starts without a reference frame, translating a written shot plan directly into moving imagery while exposing 720p, 1080p, 1440p, and 2160p delivery choices. The Fast path is useful when a creative team needs to explore many concepts, camera ideas, or pacing alternatives before spending time on a smaller set of final candidates.

This endpoint supports six-to-twenty-second selections, optional generated audio, explicit camera-motion presets, several frame rates, and a broad aspect-ratio range. Those controls make it practical for rapid storyboard passes, social campaign variants, and early editorial assemblies where throughput matters. Lock the subject and action in the prompt, compare one resolution or camera setting at a time, and promote only the strongest takes into finishing.

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, 1440p, 2160p); duration choices (6, 8, 10, 12, 14, 16, 18, 20); 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" ? 20 : params.duration)) * (params.resolution == "720p" ? 0.104 : params.resolution == "1080p" ? 0.150 : params.resolution == "1440p" ? 0.219 : 0.345)
resolution=720p, duration=6$0.624000
resolution=720p, duration=8$0.832000
resolution=720p, duration=10$1.040000
resolution=720p, duration=12$1.248000
resolution=720p, duration=14$1.456000
resolution=720p, duration=16$1.664000
resolution=720p, duration=18$1.872000
resolution=720p, duration=20$2.080000
resolution=1080p, duration=6$0.900000
resolution=1080p, duration=8$1.200000
resolution=1080p, duration=10$1.500000
resolution=1080p, duration=12$1.800000
resolution=1080p, duration=14$2.100000
resolution=1080p, duration=16$2.400000
resolution=1080p, duration=18$2.700000
resolution=1080p, duration=20$3.000000
resolution=1440p, duration=6$1.314000
resolution=1440p, duration=8$1.752000
resolution=1440p, duration=10$2.190000
resolution=1440p, duration=12$2.628000
resolution=1440p, duration=14$3.066000
resolution=1440p, duration=16$3.504000
resolution=1440p, duration=18$3.942000
resolution=1440p, duration=20$4.380000
resolution=2160p, duration=6$2.070000
resolution=2160p, duration=8$2.760000
resolution=2160p, duration=10$3.450000
resolution=2160p, duration=12$4.140000
resolution=2160p, duration=14$4.830000
resolution=2160p, duration=16$5.520000
resolution=2160p, duration=18$6.210000
resolution=2160p, duration=20$6.900000

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/fast
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, 1440p, 2160p
durationinteger; options: 6, 8, 10, 12, 14, 16, 18, 20
generate_audioboolean
fpsinteger; options: 24, 25, 48, 50
camera_motionstring; options: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, focus_shift

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