Vidu Q2 Pro Fast Start-End to Video generates smooth video transitions between start and end images with faster generation speed. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle
$0.08per run·~12 / $1
A woman stands in a natural, sunlit outdoor setting, wearing the outfit from Image 1. She begins to spin in place, performing a slow, graceful 360-degree turn with her arms slightly extended for balance. As she completes the rotation, her clothing instantly transforms into the style seen in Image 2 — the fabric shifts, colors reconfigure, and textures update seamlessly without any visible disruption. The motion is fluid and magical, as if guided by an unseen force. The background remains unchanged, emphasizing the transformation as the central focus. Shot in cinematic realism with soft natural lighting and shallow depth of field.
Vidu Q2 Pro Fast Start-End to Video generates smooth video transitions between a start frame and an end frame. This model combines the visual quality of Q2 Pro with faster generation speeds, perfect for scene transitions and visual storytelling.
Fast generation Significantly faster than Q2 Pro while maintaining high quality.
Bi-frame guidance Uses both start and end frames to anchor identity, layout, and lighting.
Temporal continuity Minimizes flicker and maintains subject integrity across frames.
Object-aware motion Preserves faces, hands, and fine details while animating.
Camera-path estimation Simulates subtle pans, dolly moves, and push-ins.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video motion (max 2000 chars) |
| image | Yes | Start frame image (URL or upload) |
| last_image | Yes | End frame image (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/start-end-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 Start End To Video Fast below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/vidu/q2-pro/start-end-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/start-end-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/start-end-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 Start End To Video Fast is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q2 Pro Fast Start-End to Video generates smooth video transitions between start and end images 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-start-end-to-video-fast.
Q2 Pro Start End 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-start-end-to-video-fast.
Average end-to-end generation time on WaveSpeedAI is around 78 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.