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Vidu Q2 Pro Image to Video Fast

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Vidu Q2 Pro Fast Image to Video generates high-quality videos from a single image with faster generation speed. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

image-to-video
入力

待機中

$0.081回あたり·~12 / $1

次:

サンプルすべて表示

A male fashion model walking confidently down the runway. His stride is steady and powerful, and his dark textured gray jacket moves naturally with his body rhythm. Occasional camera flashes pop in the background. Front tracking shot, keeping him centered. 4k HD, fashion week atmosphere.

The knight slowly raises his head, gazing into the distance through the visor of his helmet. His hand gently adjusts the hilt of the sword at his waist (or tightens his grip on the weapon beside him). The atmosphere is solemn, as if a battle is imminent. Slow motion, capturing the heavy feel of the metal.

関連モデル

README

Vidu Q2 Pro Fast Image-to-Video

Vidu Q2 Pro Fast is a high-quality image-to-video generation model that combines the visual quality of Q2 Pro with faster generation speeds. Upload a single image and describe the motion — the model generates cinematic video with object-aware animation, making it ideal for rapid iteration and production workflows.

Why Choose This?

  • Fast generation Significantly faster than Q2 Pro while maintaining high visual quality.

  • Object-aware motion Preserves faces, hands, and fine details while animating.

  • Camera-path estimation Simulates subtle pans, dolly moves, and push-ins for cinematic results.

  • Motion control Adjust movement amplitude for subtle or dynamic animations.

  • Background music Optional BGM to enhance the output video.

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

Parameters

ParameterRequiredDescription
promptYesText description of the video motion (max 2000 chars)
imageYesReference image to animate (URL or upload)
durationNoVideo length: 1-8 seconds (default: 5)
resolutionNoOutput resolution: 720p (default), 1080p
bgmNoAdd background music (default: enabled)
movement_amplitudeNoMotion intensity: auto (default), small, medium, large
seedNoRandom seed for reproducibility (-1 for random)

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 duration — choose video length from 1 to 8 seconds.
  4. Select resolution — 720p for faster processing, 1080p for higher quality.
  5. Configure options (optional) — enable/disable BGM, adjust motion amplitude.
  6. Run — submit and download your video.

Pricing

ResolutionBase pricePer additional second
720p$0.04$0.01
1080p$0.08$0.02

Examples

ResolutionDurationTotal cost
720p1s$0.04
720p5s$0.08
720p8s$0.11
1080p1s$0.08
1080p5s$0.16
1080p8s$0.22

Best Use Cases

  • Rapid Prototyping — Quickly iterate on video concepts.
  • Social Media Content — Fast turnaround for marketing videos.
  • Product Animations — Bring product images to life with natural motion.
  • Storyboard Visualization — Animate static frames for pre-production.
  • Fashion & Lifestyle — Create runway or lifestyle video from still shots.

Pro Tips

  • Use clear, descriptive prompts with specific motion details for best results.
  • Set movement_amplitude to "small" for subtle, professional motion.
  • Higher resolution (1080p) takes longer but produces sharper output.
  • Use a specific seed to reproduce the same result across runs.
  • Describe camera movement (tracking shot, push-in, pan) for cinematic results.
  • Enable BGM to add fitting background music automatically.

Notes

  • Both prompt and image are required fields.
  • Maximum video duration is 8 seconds.
  • Ensure uploaded image URLs are publicly accessible.
  • Seed value -1 generates a random seed each time.

Related Models

注記:本サイトは第三者が提供するAIモデルを使用しています。

Q2 Pro Image To Video Fast API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/q2-pro/image-to-video-fast 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 Q2 Pro Image To Video Fast 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",
    "duration": 5,
    "resolution": "720p",
    "bgm": true,
    "movement_amplitude": "auto",
    "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/vidu/q2-pro/image-to-video-fast" \
  -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/q2-pro/image-to-video-fast";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "duration": 5,
        "resolution": "720p",
        "bgm": true,
        "movement_amplitude": "auto",
        "seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "duration": 5,
    "resolution": "720p",
    "bgm": True,
    "movement_amplitude": "auto",
    "seed": -1
}

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/q2-pro/image-to-video-fast", 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)

Q2 Pro Image To Video Fast API — Frequently asked questions

What is the Q2 Pro Image To Video Fast API?

Q2 Pro Image To Video Fast is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q2 Pro Fast Image to Video generates high-quality videos from a single image with faster generation speed. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Q2 Pro Image To Video Fast 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-q2-pro-image-to-video-fast.

How much does Q2 Pro Image To Video Fast cost per run?

Q2 Pro Image To Video Fast starts at $0.080 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 Q2 Pro Image To Video Fast 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-q2-pro-image-to-video-fast.

How long does Q2 Pro Image To Video Fast take to generate?

Median end-to-end generation time on WaveSpeedAI is around 39 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 Q2 Pro Image To Video Fast 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 Q2 Pro Image to Video Fast | Fast Image-to-Video API | WaveSpeedAI