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Vidu modelsvideo generation api

vidu/2.0/start-end-to-video

Vidu 2.0 Start End To Video is Shengshu's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output.

Input
Text prompt for video generation, max 1500 characters

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

URL of the image to use as the first frame

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

URL of the image to use as the last frame
The movement amplitude of objects in the frame Allowed values: auto, small, medium, large.
Random seed for generation
Idle

Example output — click Run to generate your own

API README

Vidu 2.0 Start-End to Video

Vidu 2.0 Start-End to Video is centered on the vidu/2.0/start-end-to-video workflow for start end to video work in video production. Vidu 2.0 Start End To Video is Shengshu's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output. 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/2.0/start-end-to-video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. Those strengths describe this precise catalog entry rather than its siblings.

For example, the route documentation includes “https://static.sandbase.ai/examples/shengshu/vidu/2.0/start-end-to-video/input_image_0.png”. The mandatory portion is image, prompt. seed controls random seed for generation; 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. Vidu 2.0 Start-End to Video exposes seed, image, prompt, end_image, movement_amplitude as its documented request surface. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing.

Highlights

  • Coherent motion. Vidu 2.0 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 2.0 Start-End to Video has a concrete motion plan.
  • Reference-aware generation. When this route accepts source media, Vidu 2.0 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 optionPrice
Per request$0.200000

When to Use

ScenarioWhy it fits
Choose Vidu 2.0 Start-End to VideoUse 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 reproducibleUse the required image, prompt explicitly, then record optional choices alongside the prompt for repeatable reruns.
Build controlled creative variationsChange one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions.
Integrate asynchronous deliveryUse 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 batchRun 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/2.0/start-end-to-video.

{
  "image": "https://static.sandbase.ai/examples/shengshu/vidu/2.0/start-end-to-video/input_image_0.png",
  "prompt": "Transform the car frame into a complete vehicle.",
  "movement_amplitude": "auto"
}

Technical Specs

SpecificationDetails
Model IDvidu/2.0/start-end-to-video
Execution modeasync
Task typevideo
seedinteger · optional
imagestring · required
promptstring · required
end_imagestring · optional
movement_amplitudestring · optional · choices: auto, small, medium, large

Related Models

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