Vidu Start End To Video Q1

Playground

Vidu Q1 Start-End to Video generates smooth transition videos between specified start and end images.

Features

Vidu Q1 — Start-End to Video

Vidu Q1 Start-End to Video generates smooth, coherent motion sequences between a specified start frame and end frame, transforming static images into cinematic 5-second transitions. Built on the Vidu Q-series architecture, it delivers high-quality motion interpolation, making it ideal for professional storytelling, editing, and scene development.

Key Features

Bi-frame Guided Synthesis Generates realistic motion by interpreting both start and end frames, ensuring a seamless visual flow.
Strong Narrative Continuity Preserves scene logic and emotional tone across frames, maintaining coherent storytelling through motion.
Object- and Human-Aware Motion Handles complex transitions involving people, objects, and environments with spatial consistency and natural dynamics.
Adaptive Camera Behavior Simulates camera pans, zooms, or layout changes to achieve cinematic motion depth.
High-Fidelity Quality (720p) Provides production-ready visuals with accurate textures, lighting, and temporal consistency.

Use Cases

Storyboarding and concept animation
Scene interpolation for long-form content or cinematic projects
Instructional or educational visual transitions
Film previsualization and creative prototyping

Pricing

Resolution	Duration	Cost per Clip
720p	5s	$0.40

How to Use

Upload your start frame and end frame (JPEG/PNG).
Optionally include a prompt describing the desired motion or transition style.
Adjust movement_amplitude (auto, small, medium, large).
Click Run to generate your cinematic transition video and download it.

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/start-end-to-video-q1" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "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

Parameter	Type	Required	Default	Range	Description
prompt	string	Yes		-	The positive prompt for the generation.
image	string	Yes		-	The start image for generating the output.
last_image	string	Yes	-	-	The end image for generating the output.
movement_amplitude	string	No	auto	auto, small, medium, large	The movement amplitude of objects in the frame. Defaults to auto, accepted value: auto small medium large.
seed	integer	No	-1	-1 ~ 2147483647	The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Vidu Start End To Video 2.0 Vidu Start End To Video Q2 Pro