Lightricks Ltx 2 Pro Text To Video
Playground
Try it on WavespeedAI!LTX-2 is a complete AI creative engine. Built for real production workflows, it delivers synchronized audio and video generation, 1080p 0.06$/s
Features
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
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🚀 Lightning-Fast Generation Built for production speed — generate vivid, dynamic videos in seconds with minimal latency.
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🎧 Audio-Video Synchronization Generates perfectly aligned motion, sound, and rhythm, ensuring every visual beat matches its audio cue.
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🎥 Cinematic Control Understands text prompts describing camera movements, scene composition, and emotional tone, producing smooth and coherent cinematic sequences.
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🎨 High-Fidelity Visuals Creates photorealistic or stylistic videos with natural lighting, color grading, and motion consistency.
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🧠 Real-World Workflow Ready Designed for studio, marketing, and creator pipelines, enabling fast iteration and reliable production integration.
⚙️ Parameters
| Parameter | Description |
|---|---|
| prompt* | Describe the scene, action, or atmosphere (e.g., “herd of colossal creatures trekking across sand dunes, cinematic drone shot”). |
| duration | Choose video length in seconds (6s / 8s / 10s). |
💰 Pricing
| Target Resolution | Price per second | Approx. Runtime per $1 |
|---|---|---|
| 1080p | $0.04 / s | ~25 seconds per $1 |
| 2K | $0.08 / s | ~12 seconds per $1 |
| 4K | $0.16 / s | ~6 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.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/lightricks/ltx-2-pro/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"duration": 6,
"generate_audio": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| duration | integer | No | 6 | 6, 8, 10 | The duration of the generated media in seconds. |
| generate_audio | boolean | No | true | - | Whether to generate audio. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |