Lightricks Ltx 2 Fast Image To Video

Lightricks Ltx 2 Fast Image To Video

Playground

LTX-2 Studio is a complete AI creative engine for production workflows, generating synchronized audio and 1080p video from images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

LTX-2 Fast (Image-to-Video) is the high-speed edition of Lightricks’ powerful AI creative engine, built for instant, production-ready animation. It transforms a single image and a short prompt into a cinematic, motion-rich video — all in seconds, with synchronized movement and consistent visual quality.

Now can support 20s generation!!!

🌟 Key Features

• 🚀 Ultra-Fast Generation Optimized for real-time workflows — generate dynamic, cinematic clips in just a few seconds.

• 🎥 Image-to-Motion Conversion Animate still frames into smooth, lifelike video sequences, preserving lighting, color, and composition.

• 🎧 Audio–Video Sync Ready Designed for A/V alignment, allowing motion pacing and rhythm to match optional soundtracks or voiceovers.

• 🎨 Style Consistency Maintains the original image’s artistic tone and mood while introducing cinematic motion such as pans, zooms, or perspective shifts.

• ⚙️ Lightweight and Efficient Delivers high-quality results at low cost — ideal for rapid iterations, marketing content, or short storytelling sequences.

⚙️ Parameters

💰 Pricing

💡 Use Cases

• Marketing & Social Media — Instantly animate still campaign visuals for dynamic short-form content.
• Cinematic Concept Animation — Bring static concept art or storyboards to life.
• Product & Brand Showcases — Create eye-catching motion reveals from product shots.
• Creative Prototyping — Rapidly visualize narrative or mood ideas for films or games.

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",
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "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-fast/image-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