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

vidu /

Vidu Q3 Image-to-Video turns text prompts into high-quality videos with exceptional visual fidelity and diverse motion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video

Input

Enable Safety Checker

Idle

$0.35per run·~28 / $10

ExamplesView all

The soldier moves from a static position, raising his rifle into a ready-to-fire stance, and begins to advance slowly and cautiously through the rubble. The smoke in the background thickens, and wind blows, kicking up dust from the ground. Handheld camera style with slight shake, adding immediate urgency.

Two futuristic robots engage in intense hand-to-hand combat. The white robot throws a heavy punch, and the black robot blocks and counters. Sparks fly from metal impacts, fast and fluid motion. Dynamic handheld camera with strong impact and motion blur.

Photorealistic cinematic shot of a rider on a powerful, muscular horse galloping through an open, sunlit field. The rider, dressed in rugged equestrian gear, suddenly exhales sharply — “吁~” — as they firmly grip the reins and bring the horse to an abrupt, natural stop. The horse’s muscles tense, its ears flicking, eyes locked forward with alertness, head slightly lowered in controlled stillness. Natural lighting casts dynamic shadows across the terrain, with realistic textures on the horse’s coat and rider’s clothing. The background is a blurred, expansive landscape — grassy plains, distant trees — emphasizing motion and sudden halt. High detail, accurate anatomy, lifelike motion, and authentic equestrian realism. Medium shot, eye-level perspective, capturing the tension and calm after the stop.

Related Models

q3/text-to-video

text-to-video

q3-turbo/image-to-video

image-to-video

q3-pro/image-to-video

image-to-video

q3/image-to-video-pro

image-to-video

q3/reference-to-video

image-to-video

q3/start-end-to-video

image-to-video

README

Vidu Q3 Image-to-Video

Vidu Q3 Image-to-Video is an advanced AI video generation model that brings static images to life. Upload a reference image and describe the motion you want — the model generates high-quality video with smooth animation, optional audio, and cinematic quality up to 1080p.

Why Choose This?

Image-driven generation Transform any image into dynamic video with natural motion.
High resolution output Generate videos in 540p, 720p, or 1080p quality.
Flexible duration Create videos from 1 to 16 seconds in length.
Audio generation Optional synchronized audio and background music.
Motion control Adjust movement amplitude for subtle or dynamic animations.
Prompt Enhancer Built-in tool to automatically improve your motion descriptions.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the desired motion and action
image	Yes	Reference image to animate (URL or upload)
resolution	No	Output quality: 540p, 720p (default), 1080p
duration	No	Video length in seconds (1-16, default: 5)
movement_amplitude	No	Motion intensity: auto (default), small, medium, large
generate_audio	No	Generate synchronized audio (default: enabled)
bgm	No	Add background music (default: enabled)
seed	No	Random seed for reproducibility

How to Use

Upload your image — provide the reference image to animate.
Write your prompt — describe the motion, camera movement, and action.
Set resolution — higher resolution for better quality, lower for faster processing.
Adjust duration — set video length up to 16 seconds.
Configure audio (optional) — enable/disable audio generation and background music.
Set motion intensity (optional) — control how dynamic the movement is.
Run — submit and download your video.

Pricing

Resolution	Cost per second
540p	$0.07
720p	$0.15
1080p	$0.16

Best Use Cases

Photo Animation — Bring portraits, landscapes, and product images to life.
Social Media Content — Create engaging video content from static images.
Marketing & Ads — Generate dynamic promotional videos from product photos.
Storytelling — Animate illustrations and artwork for narratives.
Creative Projects — Explore motion concepts from reference images.

Pro Tips

Use the Prompt Enhancer to refine your motion descriptions.
Be specific about movement direction, speed, and camera angles.
Set movement_amplitude to "small" for subtle, cinematic motion or "large" for dramatic action.
Enable generate_audio for realistic sound effects matching the scene.
Use high-quality source images for better video results.
Describe environmental effects (wind, smoke, dust) for more immersive results.

Notes

Both prompt and image are required fields.
Maximum video duration is 16 seconds.
Audio generation adds synchronized sound effects and ambient audio.
BGM adds background music appropriate to the scene mood.
Ensure uploaded image URLs are publicly accessible.

Related Models

Vidu Q3 Text-to-Video — Generate video directly from text descriptions.

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

Q3 Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/q3/image-to-video with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Q3 Image To Video below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/vidu/q3/image-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "resolution": "720p",
    "duration": 5,
    "movement_amplitude": "auto",
    "generate_audio": true,
    "bgm": true,
    "seed": 0
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("vidu/q3/image-to-video", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "resolution": "720p",
        "duration": 5,
        "movement_amplitude": "auto",
        "generate_audio": true,
        "bgm": true,
        "seed": 0
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "vidu/q3/image-to-video",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "resolution": "720p",
    "duration": 5,
    "movement_amplitude": "auto",
    "generate_audio": true,
    "bgm": true,
    "seed": 0
}
)

print(output["outputs"][0])  # → URL of the generated output

Q3 Image To Video API — Frequently asked questions

What is the Q3 Image To Video API?

Q3 Image To Video is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q3 Image-to-Video turns text prompts into high-quality videos 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 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/vidu/vidu-q3-image-to-video.

How much does Q3 Image To Video cost per run?

Q3 Image To Video starts at $0.35 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 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.

How long does Q3 Image To Video take to generate?

Average end-to-end generation time on WaveSpeedAI is around 182 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Q3 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.