bytedance/video-stylize
Video Stylize is Bytedance'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/runbytedance/video-stylizeInput Schema
2 parameters · 1 required · 1 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of the image to make the stylized video from. |
style | string | Optional | The style for your character in the video. Please use a short description. · Max length: 100 |
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": "bytedance/video-stylize",
"image": "https://static.sandbase.ai/examples/bytedance/video-stylize/input_image_0.png",
"style": "Manga style",
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Video Stylize
bytedance/video-stylize animates a supplied image as a short stylized sequence, using a concise art direction to define the visual treatment. The source image anchors subject identity and layout while the animation adds motion and a coherent aesthetic rather than rebuilding the scene from text alone. This combination makes the model a practical choice when the creative outcome depends on those qualities rather than on a generic media conversion.
For production work, This makes it useful for turning illustrations, portraits, product art, or campaign key visuals into expressive moving assets with a consistent look. The result is most reliable when the source material and creative brief clearly describe the intended subject, progression, visual or sonic character, and the qualities that must remain unchanged.
Highlights
Source-image fidelity keeps the recognizable subject and composition throughout the animation.
Style-guided motion applies an aesthetic treatment consistently across generated frames.
Still-to-motion synthesis adds movement without requiring existing video footage.
Short-form visual transformation suits loops, social creative, and animated artwork.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $0.23 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
Prompt Guide
For image-conditioned generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{
"image": "https://static.sandbase.ai/examples/bytedance/video-stylize/input_image_0.png"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bytedance/video-stylize |
| Inputs | image, style |
| Required inputs | image |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |

