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.
Idle
$0.45per run·~22 / $10
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.
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.
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.
| 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 resolution: 720p (default), 1080p, 2k, 4k |
| duration | No | Video length in seconds (min: 1, max: 16, default: 5) |
| movement_amplitude | No | Motion intensity: auto (default) |
| generate_audio | No | Generate synchronized audio (default: enabled) |
| bgm | No | Add background music (default: enabled) |
| seed | No | Random seed for reproducibility |
| Duration | 720p | 1080p | 2k | 4k |
|---|---|---|---|---|
| 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 |
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; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Q3 Image To Video Pro below.
# Submit the prediction
curl -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 '{
"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].// 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-pro", {
"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# pip install wavespeed
import wavespeed
output = wavespeed.run(
"vidu/q3/image-to-video-pro",
{
"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 outputQ3 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.
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-pro.
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.
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.
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.
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.