Vidu Q3 Image To Video Spicy API Documentation

Vidu Q3 Image To Video Spicy API Documentation

Playground

Vidu Q3 Image-to-Video Spicy generates unlimited high-quality videos from images with smooth animations and diverse motion, optimized for scalable content generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Vidu Q3 Image-to-Video Spicy generates unlimited high-quality videos from images with smooth, expressive motion. It transforms static images into dynamic clips with bold motion, rich color, and natural transitions — perfect for creative storytelling and scalable content generation.

Why It Works Well

• Unlimited-style generation: Optimized for high-quality, smooth animations at scale.
• Expressive motion: Bold, vivid motion with stable aesthetics and natural transitions.
• Flexible resolution: 540p, 720p, or 1080p to match your needs.
• Duration control: 1–16 second clips with fine-grained control.
• Audio generation: Optional synchronized audio and background music.

Parameters

How to Use

1. Upload your image (ensure clarity and proper framing).
2. (Optional) Enter a prompt describing desired motion, mood, or camera movement.
3. Select resolution and duration.
4. (Optional) Adjust movement_amplitude for motion intensity.
5. (Optional) Set a seed for consistent results.
6. Click Run to generate your video.

Pricing

Notes

• Works best with clear, well-lit images.
• Use high-quality source images for better video results.
• Set movement_amplitude to “small” for subtle motion or “large” for dramatic action.
• Maximum video duration is 16 seconds.

Related Models

• Vidu Q3 Image-to-Video — Standard tier at lower cost.
• Vidu Q3 Text-to-Video — Generate video directly from text descriptions.

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'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "resolution": "720p",
  "duration": 5,
  "movement_amplitude": "auto",
  "generate_audio": true,
  "bgm": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/vidu/q3/image-to-video-spicy" \
  -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