alibaba/wan/2.1/vace/video-edit
Wan 2.1 Vace is Alibaba's video-to-video AI model. Transform, enhance, and edit video content using text prompts - from style changes to object manipulation and scene modification.
PNG, JPEG, WebP, or GIF · 20 MiB maximum each
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/wan/2.1/vace/video-editInput Schema
6 parameters · 1 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | Prompt to edit the video. |
video | string | Optional | URL of the input video. |
images | string[] | Optional | URLs of the input images to use as a reference for the generation. · Default: [] |
resolution | string | Optional | Resolution of the edited video. · Options: auto, 240p, 360p, 480p, 720p · Default: "auto" auto240p360p480p720p |
video_type | string | Optional | The type of video you're editing. Use 'general' for most videos, and 'human' for videos emphasizing human subjects and motions. The default value 'auto' means the model will guess based on the first frame of the video. · Options: auto, general, human · Default: "auto" autogeneralhuman |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
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": "alibaba/wan/2.1/vace/video-edit",
"video": "https://static.sandbase.ai/examples/alibaba/wan/2.1/vace/video-edit/input_video_0.mp4",
"images": [],
"prompt": "replace him with a large anthropomorphic polar bear",
"resolution": "auto",
"video_type": "auto"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Wan 2.1 VACE Video Edit
Wan 2.1 VACE Video Edit is the Wan 2.1 workflow for source-video transformation. It models visual appearance and time together so the route’s written direction, source imagery, speech, masks, or structural conditions influence one coherent result rather than a collection of disconnected frames or a generic endpoint response.
Choose this exact route when the available assets and deliverable specifically call for source-video transformation. Identify every subject and source, state the desired action or transformation, then describe camera behavior, pacing, environment, lighting, atmosphere, and preservation requirements; local schema fields handle resolution, duration, seed, and delivery separately from the creative brief.
Highlights
- 2.1 Temporal source editing. Changes an existing clip while retaining its timeline and scene foundation.
- 2.1 Cross-frame edit consistency. Applies the transformation coherently instead of independently per frame.
- 2.1 Semantic scene revision. Changes objects, style, environment, or presentation through written direction.
- 2.1 Motion and identity preservation. Retains important subject movement and recognizable content where requested.
Pricing
| Configuration | Mode | Price |
|---|---|---|
| auto | Per generated second | $0.05 |
| 240p | Per generated second | $0.05 |
| 360p | Per generated second | $0.05 |
| 480p | Per generated second | $0.05 |
| 720p | Per generated second | $0.10 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact named workflow | The intended task belongs to another media route |
| All required reference or control media is available | Necessary assets or rights are unavailable |
| The brief can state transformation and preservation goals | Output must be deterministic at pixel or frame level |
| Supported duration, resolution, and format fit delivery | Final placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.
{
"prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
"video": "https://example.com/source.mp4",
"images": [],
"resolution": "auto"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.1/vace/video-edit |
| Input fields | video (string)<br>images (array)<br>prompt (string)<br>resolution (string; auto, 240p, 360p, 480p, 720p)<br>video_type (string; auto, general, human)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.1/text-to-videoalibaba/wan/2.1/image-to-videoalibaba/wan/2.1/vace

