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Vidu Q3 Turbo Start End to Video

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Vidu Q3 Turbo Start-End-to-Video creates smooth transitions between two images with faster processing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
Input

Kéo & thả hoặc nhấp để tải lên

preview

Kéo & thả hoặc nhấp để tải lên

preview
The background music for generating the output.
Whether to generate audio.

Idle

$0.3per run·~33 / $10

Next:

ExamplesView all

A young couple, both East Asian, stand outside a cozy, dimly lit restaurant under soft evening streetlights. They exchange a warm, hesitant smile, then gently shake hands — a quiet gesture of mutual affection. After a brief moment, they walk side by side toward the entrance, shoulders touching slightly, eyes locked in a shared, tender glance. The restaurant’s warm glow spills onto the pavement, contrasting with the cool night sky. Their expressions are soft, intimate, and natural — no forced poses. The scene is cinematic, emotionally grounded, with shallow depth of field and natural ambient lighting. Shot in a medium-long lens, capturing their movement and connection as they enter the restaurant together.

Related Models

README

Vidu Q3 Turbo Start-End-to-Video

Vidu Q3 Turbo Start-End-to-Video generates videos with precise control over both the first and last frames, powered by fast turbo-speed generation. Provide a start image, an end image, and a text prompt — the model creates a smooth, coherent video transition between the two states. Supports multiple resolutions, motion control, and optional audio generation with background music.

Why Choose This?

  • Fast generation Turbo architecture delivers quick results for rapid prototyping and iteration.

  • Start and end frame control Define both the beginning and ending visuals for precise, predictable video transitions.

  • Smooth interpolation AI-powered motion generates natural, fluid movement between your two reference frames.

  • Multiple resolutions Choose from 540p, 720p, or 1080p to balance quality and cost.

  • Audio generation Optional synchronized audio and background music for complete video content.

  • Motion control Adjust movement_amplitude to control the intensity of motion in the transition.

Parameters

ParameterRequiredDescription
promptYesText description of the desired motion and action
imageYesStart frame image (URL or upload)
last_imageYesEnd frame image (URL or upload)
durationNoVideo length in seconds (default: 5)
resolutionNoOutput resolution: 540p, 720p, or 1080p (default: 720p)
bgmNoInclude background music (default: enabled)
generate_audioNoWhether to generate synchronized audio (default: enabled)
movement_amplitudeNoMotion intensity: auto or manual value (default: auto)
seedNoRandom seed for reproducible results (default: -1)

How to Use

  1. Upload your start image — provide the first frame of the video.
  2. Upload your end image — provide the last frame of the video.
  3. Write your prompt — describe the motion, action, and transition between the two frames.
  4. Set duration — specify how long you want the video to be.
  5. Set resolution — choose 540p for speed, 720p for balance, or 1080p for quality.
  6. Adjust motion (optional) — control movement intensity with movement_amplitude.
  7. Enable audio (optional) — toggle generate_audio and bgm for complete video with sound.
  8. Run — submit and download your video.

Pricing

ResolutionCost per Second
540p$0.04
720p$0.06
1080p$0.08

Billing Rules

  • Per-second billing based on duration and resolution
  • Total cost = duration × per-second rate

Examples

  • 5s @ 540p → 5 × $0.04 = $0.20
  • 5s @ 720p → 5 × $0.06 = $0.30
  • 5s @ 1080p → 5 × $0.08 = $0.40
  • 10s @ 720p → 10 × $0.06 = $0.60

Best Use Cases

  • Scene Transitions — Create smooth cinematic transitions between two visual states.
  • Product Morphing — Show product transformations, color changes, or feature variations.
  • Before/After Content — Generate engaging videos showing transformations or comparisons.
  • Character Animation — Animate a character moving from one pose to another.
  • Rapid Prototyping — Quickly test transition concepts with turbo-speed generation.

Pro Tips

  • Use images with similar composition for smoother transitions.
  • The prompt should describe the motion and action happening between frames, not just the static scenes.
  • Start with shorter durations (5s) to test transitions before generating longer clips.
  • Set a seed value to reproduce the same result or create consistent variations.
  • Lower movement_amplitude for subtle transitions, higher for dramatic transformations.

Notes

  • Prompt, image, and last_image are all required fields.
  • Higher resolution increases both quality and cost.
  • Audio generation (generate_audio and bgm) is included at no extra cost.
  • Seed value of -1 means random seed.

Related Models

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

Q3 Turbo Start End To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/q3-turbo/start-end-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 Start End To Video below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/vidu/q3-turbo/start-end-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",
    "duration": 5,
    "resolution": "720p",
    "bgm": true,
    "generate_audio": 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].
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-turbo/start-end-to-video", {
        "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,
        "generate_audio": true,
        "movement_amplitude": "auto",
        "seed": -1
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "vidu/q3-turbo/start-end-to-video",
    {
    "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,
    "generate_audio": true,
    "movement_amplitude": "auto",
    "seed": -1
}
)

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

Q3 Turbo Start End To Video API — Frequently asked questions

What is the Q3 Turbo Start End To Video API?

Q3 Turbo Start End To Video is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q3 Turbo Start-End-to-Video creates smooth transitions between two images with 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.

How do I call the Q3 Turbo Start End 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-turbo-start-end-to-video.

How much does Q3 Turbo Start End To Video cost per run?

Q3 Turbo Start End 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.

What inputs does Q3 Turbo Start End 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-turbo-start-end-to-video.

How do I get started with the Q3 Turbo Start End To Video API?

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.

Can I use Q3 Turbo Start End 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.