vidu/2.0/image-to-video
Vidu 2.0 is Shengshu's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runvidu/2.0/image-to-videoInput Schema
4 parameters · 2 required · 2 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 | Random seed for generation |
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, ortimeout - Retrieve — Read
outputsfrom 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/2.0/image-to-video",
"image": "https://static.sandbase.ai/examples/shengshu/vidu/2.0/image-to-video/input_image_0.webp",
"prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.",
"movement_amplitude": "auto"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Vidu 2.0 Image to Video
Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. Vidu 2.0 Image to Video brings a dedicated workflow to the vidu/2.0/image-to-video workflow for image to video work in video production. 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. Vidu 2.0 is Shengshu's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output. Because vidu/2.0/image-to-video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. This capability boundary is specific to the endpoint named above.
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; movement amplitude controls the movement amplitude of objects in the frame; movement amplitude accepts auto, small, medium, large. The mandatory portion is image, prompt. Vidu 2.0 Image to Video exposes seed, image, prompt, movement_amplitude as its documented request surface. For example, the route documentation includes “https://static.sandbase.ai/examples/shengshu/vidu/2.0/image-to-video/input_image_0.webp”. 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 Image 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 Image to Video has a concrete motion plan.
- Reference-aware generation. When this route accepts source media, Vidu 2.0 Image 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 | $0.200000 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose Vidu 2.0 Image to Video | Use it when the job specifically calls for image 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/2.0/image-to-video.
{
"image": "https://static.sandbase.ai/examples/shengshu/vidu/2.0/image-to-video/input_image_0.webp",
"prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.",
"movement_amplitude": "auto"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | vidu/2.0/image-to-video |
| Execution mode | async |
| Task type | video |
seed | integer · optional |
image | string · required |
prompt | string · required |
movement_amplitude | string · optional · choices: auto, small, medium, large |