Browse ModelsViduVidu Q3 Turbo Start End To Video

Vidu Q3 Turbo Start End To Video

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.

Features

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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/vidu/q3-turbo/start-end-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 5,
    "resolution": "720p",
    "bgm": true,
    "generate_audio": true,
    "movement_amplitude": "auto",
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringYes-The start image for generating the output.
last_imagestringYes--The end image for generating the output.
durationnumberNo51 ~ 16The duration of the generated media in seconds.
resolutionstringNo720p540p, 720p, 1080pThe resolution of the generated media.
bgmbooleanNotrue-The background music for generating the output.
generate_audiobooleanNotrue-Whether to generate audio.
movement_amplitudestringNoautoauto, small, medium, largeThe movement amplitude of objects in the frame. Defaults to auto, accepted value: auto small medium large.
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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