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Vidu Q3 Image to Video Pro | Fast Image-to-Video API

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Vidu Q3 Image-to-Video Pro generates high-resolution videos (720p/1080p/2K/4K) from images with exceptional visual fidelity and diverse motion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
Input

Idle

$0.45per run·~22 / $10

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ExamplesView all

The skier accelerates down the steep slope at high speed, carving sharp turns. Snow sprays violently from the edges of the skis. The athlete's body shifts dynamically from side to side maintaining balance. Tracking camera following the skier, motion blur on background, bright sunlight.

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README

Vidu Q3 Image-to-Video Pro

Vidu Q3 Image-to-Video Pro is Vidu's premium image-to-video model, transforming still images into dynamic video with superior motion quality and multi-resolution support up to 4K. With flexible duration from 1 to 16 seconds, audio generation, and background music options, it delivers professional-grade animated content.

Why Choose This?

  • Pro-tier quality Superior visual fidelity and motion realism in the Vidu Q3 family.

  • Multi-resolution support Output in 720p, 1080p, 2K, or 4K to match your production needs.

  • Flexible duration Generate videos from 1 to 16 seconds — any length you need.

  • Audio generation Optional synchronized audio generated alongside the video.

  • Background music Add BGM to your generated video for a complete audiovisual experience.

  • Motion amplitude control Adjust movement intensity for subtle or dramatic animations.

  • 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: 720p (default), 1080p, 2k, 4k
durationNoVideo length in seconds (min: 1, max: 16, default: 5)
movement_amplitudeNoMotion intensity: auto (default)
generate_audioNoGenerate synchronized audio (default: enabled)
bgmNoAdd background music (default: enabled)
seedNoRandom seed for reproducibility

How to Use

  1. Upload your image — provide the reference image to animate.
  2. Write your prompt — describe the motion, camera movement, and action in detail.
  3. Choose resolution — select 720p, 1080p, 2K, or 4K based on your needs.
  4. Set duration — choose any length from 1 to 16 seconds.
  5. Adjust motion amplitude (optional) — control the intensity of movement.
  6. Enable audio options (optional) — toggle generate_audio and bgm as needed.
  7. Run — submit and download your video.

Pricing

Duration720p1080p2k4k
5 s$0.45$0.50$0.60$0.75
10 s$0.90$1.00$1.20$1.50
16 s$1.44$1.60$1.92$2.40

Billing Rules

  • 720p rate: $0.45 per 5 seconds
  • 1080p rate: $0.50 per 5 seconds
  • 2K rate: $0.60 per 5 seconds
  • 4K rate: $0.75 per 5 seconds
  • Duration range: 1–16 seconds

Best Use Cases

  • Premium Production — High-resolution video requiring superior visual quality.
  • Marketing & Ads — Cinematic promotional videos with professional polish.
  • Social Media Content — Dynamic short-form videos for TikTok, Reels, and Shorts.
  • E-commerce — Bring product images to life with motion and audio.
  • Long-Form Animation — Up to 16 seconds for extended scene development.

Pro Tips

  • Use detailed, cinematic prompts for best results — include lighting, camera angles, and motion descriptions.
  • Try the Prompt Enhancer to automatically refine your descriptions.
  • Enable both generate_audio and bgm for a complete audiovisual experience.
  • Use movement_amplitude to control how dramatic or subtle the animation appears.
  • Higher resolutions (2K, 4K) produce better detail but cost more.
  • Use high-quality source images for the best video output.

Notes

  • Both prompt and image are required fields.
  • Duration range: minimum 1 second, maximum 16 seconds.
  • Ensure uploaded image URLs are publicly accessible.

Related Models

Note:This website uses AI models provided by third parties.

Q3 Image To Video Pro API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/q3/image-to-video-pro 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 Image To Video Pro 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/image-to-video-pro" \
  -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/image-to-video-pro";
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/image-to-video-pro", 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 Image To Video Pro API — Frequently asked questions

What is the Q3 Image To Video Pro API?

Q3 Image To Video Pro is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q3 Image-to-Video Pro generates high-resolution videos (720p/1080p/2K/4K) from images with exceptional visual fidelity and diverse motion. 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 Image To Video Pro 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-image-to-video-pro.

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

Q3 Image To Video Pro starts at $0.45 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 Image To Video Pro 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-image-to-video-pro.

How do I get started with the Q3 Image To Video Pro API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Q3 Image To Video Pro 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.