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.
Idle
$0.3per run·~33 / $10
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.
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.
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.
| 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: 540p, 720p, or 1080p (default: 720p) |
| duration | No | Video length in seconds (default: 5) |
| movement_amplitude | No | Motion intensity: auto or manual value (default: auto) |
| generate_audio | No | Whether to generate synchronized audio (default: enabled) |
| bgm | No | Include background music (default: enabled) |
| seed | No | Random seed for reproducible results |
| Resolution | Cost per Second |
|---|---|
| 540p | $0.04 |
| 720p | $0.06 |
| 1080p | $0.08 |
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; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Q3 Turbo Image To Video below.
# Submit the prediction
curl -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 '{
"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-turbo/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# pip install wavespeed
import wavespeed
output = wavespeed.run(
"vidu/q3-turbo/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 outputQ3 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.
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-turbo-image-to-video.
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.
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.
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.