Ltx 2 19b Text To Video API Documentation

Ltx 2 19b Text To Video API Documentation

Playground

LTX-2 19b is the first DiT-based audio-video foundation model with synchronized audio and video, high fidelity, multiple performance modes, and production-ready outputs in one model. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

LTX-2 is the first DiT-based (Diffusion Transformer) audio-video foundation model, capable of generating synchronized audio and video from a text prompt. With 19 billion parameters, it produces high-fidelity, production-ready clips with natural sound that matches the visuals — no post-production audio layering required.

Why Choose This?

• Synchronized audio-video generation Outputs video with matching audio in a single pass — footsteps, ambient sounds, speech-like tones, and environmental audio are generated to fit the visual content.

• High-fidelity visuals Leverages a 19B-parameter DiT architecture for detailed, temporally consistent video with minimal flickering.

• Flexible resolution and aspect ratio Supports 480p, 720p, and 1080p outputs in both 16:9 (landscape) and 9:16 (vertical) formats.

• Variable duration Generate clips from 5 to 20 seconds, suitable for quick loops or longer narrative beats.

Parameters

Resolution Options

Aspect Ratio Options

How to Use

1. Write your prompt — describe the scene, action, and desired audio cues.
2. Select resolution — 480p for iteration, 720p for balance, 1080p for final output.
3. Choose aspect ratio — 16:9 for landscape, 9:16 for vertical platforms.
4. Set duration — 5-20 seconds based on your content needs.
5. Run — submit and download the generated video with synchronized audio.

Pricing

Billing Rules

• Base price: $0.08 (720p, 5 seconds)
• Resolution multiplier: 480p = 0.75×, 720p = 1×, 1080p = 1.5×
• Duration: Scales linearly (per 5 seconds)
• Total cost = duration × $0.08 × resolution_multiplier / 5

Best Use Cases

• Short-form Content — Create TikTok, Reels, and Stories with built-in audio.
• Product Demos — Generate promotional videos with ambient sound.
• Social Media — Produce engaging clips without separate audio editing.
• Prototyping — Quickly visualize concepts with synchronized audiovisuals.
• Marketing — Create ad content with cohesive sound design.

Pro Tips

• Audio is automatic — you don’t need to explicitly request it.
• Describe sounds when it matters (e.g., “jazz music,” “thunderstorm”).
• Match aspect ratio to platform: 9:16 for vertical-first, 16:9 for YouTube/desktop.
• Iterate at 480p to dial in the prompt, then render at higher resolution for final output.
• Use fixed seed when testing prompt variations to isolate the effect of your changes.

Notes

• Maximum video duration is 20 seconds.
• Audio is generated based on the visual content and prompt context.
• For longer content, generate multiple clips and edit together.

Related Models

• LTX-2 19B Image-to-Video — Animate a reference image into video with synchronized audio.
• Wan 2.5 T2V — Alternative text-to-video with the Wan ecosystem.
• Kling 2.6 T2V — Kuaishou’s latest text-to-video generation model.
• Sora 2 T2V — OpenAI’s text-to-video model with cinematic quality.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "duration": 5,
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/text-to-video" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  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

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters