Luma Ray 2 T2V

Luma Ray 2 T2V

Playground

Luma Ray 2 is a Text-to-Video model that creates high-quality videos from text prompts, with advanced prompt optimization and support for various video sizes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Luma Ray 2 Text-to-Video is Luma AI’s powerful text-to-video generation model that creates stunning, high-quality videos from text descriptions. Generate smooth, visually striking 720p videos with excellent motion coherence — perfect for creative content and professional projects.

Why It Stands Out

• High-quality generation: Produces detailed videos with smooth, natural motion.
• HD 720p output: Generate crisp videos in landscape (1280×720) or portrait (720×1280).
• Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
• Style versatility: Handles various styles from 2D animation to photorealistic scenes.
• Flexible duration: Choose between 5 or 10 second video lengths.

Parameters

How to Use

1. Write a prompt describing the scene, action, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
2. Select size — choose landscape (1280×720) or portrait (720×1280).
3. Set duration — choose 5 or 10 seconds.
4. Click Run and wait for your video to generate.
5. Preview and download the result.

Best Use Cases

• 2D Animation — Create playful animated content with vibrant styles.
• Social Media Content — Generate platform-optimized videos for TikTok, Reels, and Shorts.
• Marketing & Advertising — Produce eye-catching promotional videos and ad creatives.
• Creative Projects — Bring imaginative concepts to life with unique visual styles.
• Music Videos — Generate dynamic visuals for songs and audio tracks.

Pricing

Pro Tips for Best Quality

• Be detailed in your prompt — describe subject, action, environment, and style.
• Specify animation style if desired (e.g., “2D animation,” “3D render,” “photorealistic”).
• Include mood keywords like “playful,” “dramatic,” “whimsical,” or “cinematic.”
• Describe transitions and motion for more dynamic results.
• Choose portrait (720×1280) for mobile-first platforms like TikTok.

Notes

• Processing time varies based on duration and current queue load.
• Please ensure your prompts comply with content guidelines.

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",
  "size": "1280*720",
  "duration": 5
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/luma/ray-2-t2v" \
  -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