Seedance 2.5 Now Live | Try in Video Generator →

lightricks/

LTX-2 Pro is a text-to-video engine that generates synchronized audio and 1080P video from text prompts for production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-video
Input

Idle

$0.06per run·~16 / $1

Next:

ExamplesView all

Breathtaking wide establishing shot. A magnificent, ornate airship slowly emerges from thick clouds, approaching a colossal, impossible city floating amongst the clouds, connected by glowing energy bridges. Tiny flying creatures circle the city spires. Epic fantasy, volumetric lighting, masterpiece.

Breathtaking cinematic wide shot. An astronaut in a bulky spacesuit stands dwarfed before a colossal, impossibly ancient alien structure made of shifting, iridescent metal on a desolate Mars-like planet. Strange geometric patterns pulse with faint light across its surface. The astronaut slowly reaches out a gloved hand towards the humming structure. Sense of awe and mystery.

Dynamic action sequence. A character sprints across rooftops at night against a neon-lit city skyline. They perform a desperate, parkour-style leap across a wide gap between buildings, landing hard and rolling. Pursuers' flashlights sweep across the rooftop behind them. Fast-paced, shaky cam effect, high energy.

Vast desert landscape under a blazing sun. A herd of colossal, ancient creatures resembling walking mountains made of rock and sand, slowly trek across the endless dunes, kicking up huge clouds of dust. Drone shot following the herd from above. Photorealistic, sense of immense scale.

Tense first-person POV shot moving slowly down a dark, derelict spaceship corridor. Emergency lights flicker erratically. Wires spark. Suddenly, a grotesque, biomechanical alien creature drops from the ceiling vents right in front of the camera with a screech. Jumpscare, found footage style, claustrophobic.

An extreme close-up on a character's eye, reflecting a battle scene. The camera spins around the character's face as their expression shifts from fear to determination—shallow depth of field, intense emotion.

A city skyline where the buildings are made of giant, vintage Jenga blocks, one tower is slowly and precariously beginning to wobble. Dramatic low angle shot, suspenseful atmosphere.

A dramatic low-angle, slow-motion shot. A figure in a long trench coat runs desperately down a rain-slicked, empty city street during the golden hour. The setting sun creates long, dramatic shadows and intense lens flares. Cinematic, high contrast.

A tiny astronaut sloth, wearing a retro bubble helmet, slowly planting a flag made of a leaf onto a giant, floating donut in a nebula made of coffee and cream. Whimsical, slow motion, cinematic.

A tiny knitted octopus driving a miniature submarine made from a teacup through a bathtub filled with bubbles and rubber ducks. Playful, macro shot.

Related Models

README

lightricks/ltx-2-pro/text-to-video 🎬

LTX-2 Pro is a next-generation AI creative engine by Lightricks, designed for real production workflows where speed and precision matter. It generates high-quality, synchronized audio and video directly from text — delivering cinematic scenes, sound, and motion in perfect harmony.

⚡ Key Highlights

  • 🚀 Lightning-Fast Generation Built for production speed — generate vivid, dynamic videos in seconds with minimal latency.

  • 🎧 Audio-Video Synchronization Generates perfectly aligned motion, sound, and rhythm, ensuring every visual beat matches its audio cue.

  • 🎥 Cinematic Control Understands text prompts describing camera movements, scene composition, and emotional tone, producing smooth and coherent cinematic sequences.

  • 🎨 High-Fidelity Visuals Creates photorealistic or stylistic videos with natural lighting, color grading, and motion consistency.

  • 🧠 Real-World Workflow Ready Designed for studio, marketing, and creator pipelines, enabling fast iteration and reliable production integration.

⚙️ Parameters

ParameterDescription
prompt*Describe the scene, action, or atmosphere (e.g., “herd of colossal creatures trekking across sand dunes, cinematic drone shot”).
durationChoose video length in seconds (6s / 8s / 10s).

💰 Pricing

Target ResolutionPrice per secondApprox. Runtime per $1
1080p$0.06 / s~17 seconds per $1

💡 Use Cases

  • Film Previsualization — Generate cinematic shots and sequences for storyboards and concept scenes.
  • Advertising & Marketing — Create short promotional clips with perfect sound–motion sync.
  • Music & Performance Videos — Match rhythm, pacing, and emotion in AI-synchronized productions.
  • Creative Storytelling — Produce narrative visuals enhanced with audio atmosphere and motion cues.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Ltx 2 Pro Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/lightricks/ltx-2-pro/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Ltx 2 Pro Text To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 6,
    "generate_audio": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/lightricks/ltx-2-pro/text-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/lightricks/ltx-2-pro/text-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "duration": 6,
        "generate_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 6,
    "generate_audio": True
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/lightricks/ltx-2-pro/text-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Ltx 2 Pro Text To Video API — Frequently asked questions

What is the Ltx 2 Pro Text To Video API?

Ltx 2 Pro Text To Video is a Lightricks model for video generation, exposed as a REST API on WaveSpeedAI. LTX-2 Pro is a text-to-video engine that generates synchronized audio and 1080P video from text prompts for production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ltx 2 Pro Text To Video API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/lightricks/lightricks-ltx-2-pro-text-to-video.

How much does Ltx 2 Pro Text To Video cost per run?

Ltx 2 Pro Text To Video starts at $0.060 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Ltx 2 Pro Text To Video accept?

Key inputs: `prompt`, `duration`, `generate_audio`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/lightricks/lightricks-ltx-2-pro-text-to-video.

How long does Ltx 2 Pro Text To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 80 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Ltx 2 Pro Text To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Lightricks). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

LTX 2 Pro Text to Video | Powerful Text-to-Video API on WaveSpeedAI