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.
Idle
$0.08per run·~12 / $1
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.
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.
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.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video motion (max 2000 chars) |
| image | Yes | Reference image to animate (URL or upload) |
| duration | No | Video length: 1-8 seconds (default: 5) |
| resolution | No | Output resolution: 720p (default), 1080p |
| bgm | No | Add background music (default: enabled) |
| movement_amplitude | No | Motion intensity: auto (default), small, medium, large |
| seed | No | Random seed for reproducibility (-1 for random) |
| Resolution | Base price | Per additional second |
|---|---|---|
| 720p | $0.04 | $0.01 |
| 1080p | $0.08 | $0.02 |
| Resolution | Duration | Total cost |
|---|---|---|
| 720p | 1s | $0.04 |
| 720p | 5s | $0.08 |
| 720p | 8s | $0.11 |
| 1080p | 1s | $0.08 |
| 1080p | 5s | $0.16 |
| 1080p | 8s | $0.22 |
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; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Q2 Pro Image To Video Fast below.
# Submit the prediction
curl -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 '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 5,
"resolution": "720p",
"bgm": true,
"movement_amplitude": "auto",
"seed": -1
}'
# 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/q2-pro/image-to-video-fast", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 5,
"resolution": "720p",
"bgm": true,
"movement_amplitude": "auto",
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"vidu/q2-pro/image-to-video-fast",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 5,
"resolution": "720p",
"bgm": true,
"movement_amplitude": "auto",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputQ2 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.
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-q2-pro-image-to-video-fast.
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.
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.
Average end-to-end generation time on WaveSpeedAI is around 67 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.