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Lightricks modelsvideo generation api

lightricks/ltx-2-19b/text-to-video

Ltx 2 19b 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 generate the video from.
Whether to generate audio for the video.
110
The guidance scale to use. Range: 1 to 10.
850
The number of inference steps to use. Range: 8 to 50.
The seed for the random number generator.
9481
The number of frames to generate. Range: 9 to 481.
The size of the generated video. Allowed values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9.
160
The frames per second of the generated video. Range: 1 to 60.
The quality of the generated video. Allowed values: low, medium, high, maximum.
The output type of the generated video. Allowed values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif).
01
The scale of the camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. Range: 0 to 1.
The camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. Allowed values: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none.
Whether to use multi-scale generation. If True, the model will generate the video at a smaller scale first, then use the smaller video to guide the generation of a video at or above your requested size. This results in better coherence and details.
The write mode of the generated video. Allowed values: fast, balanced, small.
Idle

Example output — click Run to generate your own

API README

LTX-2 19B

LTX-2 19B is a text-to-video creation endpoint in the LTX 2 19B family. It is built for creators who need to turn a concrete creative brief into a controlled visual sequence: the request establishes the source material, the intended subject behavior, the camera language, and the atmosphere of the finished shot. The standard route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.

In practice, this route accepts a written prompt as creative context and exposes num frames, video size, generate audio, camera lora for delivery planning. That makes it suitable for shot-based pipelines where teams must preserve a source, direct a transformation, or control the final format without losing sight of the model's central task. Write prompts as a compact shot plan—subject, action, setting, camera, light, and timing—then use the structured fields for constraints that should remain deterministic across iterations.

Highlights

  • Scene built from language. No source image is required: the prompt defines subject, action, environment, camera, light, and temporal progression.
  • Purposeful camera direction. camera_lora offers named dolly, jib, static, and lateral camera paths.
  • Native soundtrack option. generate_audio can request sound as part of the same generated scene.
  • LTX 2 19B format-first generation. Resolution, video size, aspect ratio, duration, or frame count can be fixed before rendering where the schema exposes them. This behavior is exposed on the named 19B route. For lightricks/ltx-2-19b/text-to-video, this task-specific control is documented alongside the route’s own required inputs.

Pricing

Billing unitPrice
Base request$0.001800

When to Use

ScenarioRecommendation
Choose this routeUse it when the deliverable specifically calls for text-to-video creation, rather than a neighboring generation mode.
Prepare the sourceProvide a precise written brief in the format described by the request schema.
Direct the shotDescribe the subject, action, environment, camera movement, lighting, and temporal progression in that order.
Control continuityUse endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose.
Plan deliverySet duration, frame count, resolution, and aspect ratio explicitly when the schema exposes them, then compare iterations with a stable seed where supported.

Prompt Guide

For text-to-video creation, describe one coherent shot rather than a list of visual keywords. Put the main subject and action first, follow with location and staging, then add camera movement, lens or framing, lighting, mood, and any timed change. Keep URLs and hard delivery choices in their dedicated fields.

{
  "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
  "generate_audio": true
}

Technical Specs

SpecificationValue
Model IDlightricks/ltx-2-19b/text-to-video
Required inputsprompt
ExecutionAsynchronous generation job
Request controls14 documented fields
Outputurl, content_type

Request fields

FieldType and constraints
fpsnumber; Optional; Range: 1–60; Default: 25
seedinteger; Optional
promptstring; Required
num_framesinteger; Optional; Range: 9–481; Default: 121
video_sizestring; Optional; Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9; Default: "landscape_4_3"
camera_lorastring; Optional; Options: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none; Default: "none"
video_qualitystring; Optional; Options: low, medium, high, maximum; Default: "high"
generate_audioboolean; Optional; Default: true
guidance_scalenumber; Optional; Range: 1–10; Default: 3
use_multiscaleboolean; Optional; Default: true
video_write_modestring; Optional; Options: fast, balanced, small; Default: "balanced"
camera_lora_scalenumber; Optional; Range: 0–1; Default: 1
video_output_typestring; Optional; Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif); Default: "X264 (.mp4)"
num_inference_stepsinteger; Optional; Range: 8–50; Default: 40

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