Vidu modelsvideo generation api

vidu/q1/start-end-to-video

Name: Vidu Q1 Start-End to Video
Author: Vidu

Vidu Q1 Start End To Video by Shengshu - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation.

Input

Prompt(string)

Text prompt for video generation, max 1500 characters

Image URL or upload(string)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of the image to use as the first frame

This field is required.

Image URL or upload(string)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of the image to use as the last frame

Movement Amplitude(string)

The movement amplitude of objects in the frame Allowed values: auto, small, medium, large.

Seed(integer)

Seed for the random number generator

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDvidu/q1/start-end-to-video

Input Schema

5 parameters · 2 required · 3 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the image to use as the first frame
`prompt`	string	Required	Text prompt for video generation, max 1500 characters · Max length: 1500
`seed`	integer	Optional	Seed for the random number generator
`end_image`	string	Optional	URL of the image to use as the last frame
`movement_amplitude`	string	Optional	The movement amplitude of objects in the frame · Options: auto, small, medium, large · Default: "auto" autosmallmediumlarge

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "vidu/q1/start-end-to-video",
  "image": "https://static.sandbase.ai/examples/shengshu/vidu/q1/start-end-to-video/input_image_0.png",
  "prompt": "Dragon lands on a rock",
  "end_image": "https://static.sandbase.ai/examples/shengshu/vidu/q1/start-end-to-video/input_end_image_1.png",
  "movement_amplitude": "auto"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

← Back to Vidu Q1 Start-End to Video

API README

Vidu Q1 Start-End to Video

Vidu Q1 Start-End to Video brings a dedicated workflow to the vidu/q1/start-end-to-video workflow for start end to video work in video production. Vidu Q1 Start End To Video by Shengshu - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation. Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. Because vidu/q1/start-end-to-video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. This is the creative remit of the exact endpoint, not a family-wide promise.

Vidu Q1 Start-End to Video exposes seed, image, prompt, end_image, movement_amplitude as its documented request surface. seed controls seed for the random number generator; image controls uRL of the image to use as the first frame; prompt controls text prompt for video generation, max 1500 characters; end image controls uRL of the image to use as the last frame; movement amplitude controls the movement amplitude of objects in the frame; movement amplitude accepts auto, small, medium, large. The mandatory portion is image, prompt. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing. For example, the route documentation includes “https://static.sandbase.ai/examples/shengshu/vidu/q1/start-end-to-video/input_image_0.png”.

Highlights

Coherent motion. Vidu Q1 Start-End to Video is built to turn the route’s text or reference media into a temporally connected sequence rather than unrelated frames.
Shot direction. Prompts can describe subject action, camera movement, pacing, and atmosphere so Vidu Q1 Start-End to Video has a concrete motion plan.
Reference-aware generation. When this route accepts source media, Vidu Q1 Start-End to Video uses it to anchor identity, composition, or the clip boundary throughout generation.
Production variants. Declared duration, resolution, framing, or inference controls support repeatable video options for review and selection.

Pricing

Billing option	Price
Per request	`$0.400000`

When to Use

Scenario	Why it fits
Choose Vidu Q1 Start-End to Video	Use it when the job specifically calls for start end to video and the route’s documented input contract matches assets already available in your workflow.
Keep the request reproducible	Use the required `image`, `prompt` explicitly, then record optional choices alongside the prompt for repeatable reruns.
Build controlled creative variations	Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions.
Integrate asynchronous delivery	Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact.
Validate before a large batch	Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production.

Prompt Guide

Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for vidu/q1/start-end-to-video.

{
  "image": "https://static.sandbase.ai/examples/shengshu/vidu/q1/start-end-to-video/input_image_0.png",
  "prompt": "Dragon lands on a rock",
  "movement_amplitude": "auto"
}

Technical Specs

Specification	Details
Model ID	`vidu/q1/start-end-to-video`
Execution mode	`async`
Task type	`video`
`seed`	`integer` · optional
`image`	`string` · required
`prompt`	`string` · required
`end_image`	`string` · optional
`movement_amplitude`	`string` · optional · choices: `auto`, `small`, `medium`, `large`