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Vidu Q3 Turbo Image-to-Video animates static images with high-quality motion and faster processing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
Input

Idle

$0.3per run·~33 / $10

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ExamplesView all

The white robot with glowing blue eyes plummets downward from the sky at high speed, wind rushing past its sleek body. It stretches one arm forward like a superhero dive. As it approaches a futuristic cityscape below, thrusters ignite from its feet emitting bright blue plasma flames, decelerating rapidly. It lands with a powerful three-point stance on a rooftop — one fist slamming into the concrete, sending cracks radiating outward and debris flying. Its blue eyes flicker and intensify as it slowly rises to standing. Camera follows the descent in a continuous vertical tracking shot, then switches to low-angle on impact. Cinematic sci-fi, Michael Bay impact shot, 4K.

Related Models

README

Vidu Q3 Turbo Image-to-Video

Vidu Q3 Turbo Image-to-Video animates still images into dynamic video with fast turbo-speed generation. Upload a reference image and describe the motion — the model brings your image to life with smooth animation, multiple resolution options, and optional audio generation with background music.

Why Choose This?

  • Fast generation Turbo architecture delivers quick results for rapid prototyping and iteration.

  • Image-driven animation Start from any image and animate it with natural, coherent motion.

  • Multiple resolutions Choose from 540p, 720p, or 1080p to balance quality and speed.

  • Motion control Adjust movement_amplitude to control the intensity of motion in the video.

  • Audio generation Optional synchronized audio and background music to create complete video content.

  • Prompt Enhancer Built-in tool to automatically improve your motion descriptions.

Parameters

ParameterRequiredDescription
promptYesText description of the desired motion and action
imageYesReference image to animate (URL or upload)
resolutionNoOutput resolution: 540p, 720p, or 1080p (default: 720p)
durationNoVideo length in seconds (default: 5)
movement_amplitudeNoMotion intensity: auto or manual value (default: auto)
generate_audioNoWhether to generate synchronized audio (default: enabled)
bgmNoInclude background music (default: enabled)
seedNoRandom seed for reproducible results

How to Use

  1. Upload your image — provide the reference image to animate.
  2. Write your prompt — describe the motion, camera movement, and action.
  3. Set resolution — choose 540p for speed, 720p for balance, or 1080p for quality.
  4. Set duration — specify how long you want the video to be.
  5. Adjust motion (optional) — control movement intensity with movement_amplitude.
  6. Enable audio (optional) — toggle generate_audio and bgm for complete video with sound.
  7. Run — submit and download your video.

Pricing

ResolutionCost per Second
540p$0.04
720p$0.06
1080p$0.08

Billing Rules

  • Per-second billing based on duration and resolution
  • Total cost = duration × per-second rate

Examples

  • 5s @ 540p → 5 × $0.04 = $0.20
  • 5s @ 720p → 5 × $0.06 = $0.30
  • 5s @ 1080p → 5 × $0.08 = $0.40
  • 10s @ 720p → 10 × $0.06 = $0.60

Best Use Cases

  • Product Animation — Bring product photos to life with dynamic motion.
  • Social Media Content — Create engaging short-form videos from still images.
  • Character Animation — Animate portraits, illustrations, or concept art.
  • Marketing & Ads — Transform static visuals into eye-catching video ads.
  • Rapid Prototyping — Quickly test animation concepts before full production.

Pro Tips

  • Use high-quality source images for the best video output.
  • Describe the motion specifically — camera movements, character actions, environmental effects.
  • Start with 540p for rapid iteration, then increase resolution for final output.
  • Set a seed value to reproduce the same result or create consistent variations.
  • Adjust movement_amplitude to match the energy of your scene — lower for subtle motion, higher for action.

Notes

  • Both prompt and image are required fields.
  • Higher resolution increases both quality and cost.
  • Audio generation (generate_audio and bgm) is included at no extra cost.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Q3 Turbo Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/q3-turbo/image-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Q3 Turbo Image To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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-turbo/image-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/vidu/q3-turbo/image-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "resolution": "720p",
        "duration": 5,
        "movement_amplitude": "auto",
        "generate_audio": true,
        "bgm": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/vidu/q3-turbo/image-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Q3 Turbo Image To Video API — Frequently asked questions

What is the Q3 Turbo Image To Video API?

Q3 Turbo Image To Video is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q3 Turbo Image-to-Video animates static images with high-quality motion and faster processing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Q3 Turbo Image To Video API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/vidu/vidu-q3-turbo-image-to-video.

How much does Q3 Turbo Image To Video cost per run?

Q3 Turbo Image To Video starts at $0.30 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Q3 Turbo Image To Video accept?

Key inputs: `prompt`, `image`, `resolution`, `duration`, `seed`, `bgm`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/vidu/vidu-q3-turbo-image-to-video.

How long does Q3 Turbo Image To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 94 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Q3 Turbo Image To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Vidu). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Vidu Q3 Turbo Image to Video | Fast Image-to-Video API on WaveSpeedAI