alibaba/wan/2.2/vace-fun/reframe
Wan 2.2 Vace Fun by Alibaba - AI-powered video editing and transformation. Apply style transfer, motion control, lip-sync, and visual effects to existing videos with natural language instructions.
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/runalibaba/wan/2.2/vace-fun/reframeInput Schema
7 parameters · 1 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The text prompt to guide video generation. Optional for reframing. · Default: "" |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
video | string | Optional | URL to the source video file. This video will be used as a reference for the reframe task. |
resolution | string | Optional | Resolution of the generated video. · Options: auto, 240p, 360p, 480p, 720p · Default: "auto" auto240p360p480p720p |
zoom_factor | number | Optional | Zoom factor for the video. When this value is greater than 0, the video will be zoomed in by this factor (in relation to the canvas size,) cutting off the edges of the video. A value of 0 means no zoom. · Min: 0 · Max: 0.9 · Default: 0 |
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 |
trim_borders | boolean | Optional | Whether to trim borders from the video. · Default: true |
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/2.2/vace-fun/reframe",
"video": "https://static.sandbase.ai/examples/alibaba/wan/2.2/vace-fun/reframe/input_video_0.mp4",
"prompt": "a beautiful sunset over mountains",
"resolution": "auto",
"zoom_factor": 0,
"trim_borders": true
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Wan 2.2 VACE Fun Reframe
Wan 2.2 VACE Fun Reframe is the Wan 2.2 workflow for adaptive video reframing. 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 adaptive video reframing. 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
- 2.2 Subject-aware recomposition. Keeps the primary action meaningfully positioned in a new canvas.
- 2.2 Temporal framing continuity. Avoids abrupt crop movement and unstable composition between frames.
- 2.2 Generated context completion. Creates missing surroundings when the new frame exceeds the source.
- 2.2 Placement adaptation. Converts one master clip into alternative portrait, square, or landscape framing.
Pricing
| Resolution | Price per generated second |
|---|---|
| Auto | $0.050 |
| 240p | $0.050 |
| 360p | $0.050 |
| 480p | $0.050 |
| 720p | $0.100 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact video reframing workflow | The intended task belongs to a different media route |
| Available source media matches every required field | Required assets or usage rights are unavailable |
| The brief can define subject, action, camera, and style | Output must be deterministic at frame or pixel level |
| Supported duration, resolution, and framing fit delivery | Final placement requires unsupported specifications |
| An asynchronous generation job fits production | A live or frame-synchronous response is mandatory |
Prompt Guide
Describe the result as a shot or design brief: identify subjects and references, state the action or transformation, specify environment and composition, then add camera behavior, lighting, pacing, style, sound, and preservation constraints where relevant. Use exact reference identifiers exposed by the local schema.
{
"prompt": "",
"seed": 1,
"video": "https://example.com/source.mp4",
"resolution": "auto"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.2/vace-fun/reframe |
| Input fields | seed (integer)<br>video (string)<br>prompt (string)<br>resolution (string; auto, 240p, 360p, 480p, 720p)<br>zoom_factor (number; 0–0.9)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>trim_borders (boolean) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.2/vace-fun/depth— Compare this concrete local family route.alibaba/wan/2.2/vace-fun/inpainting— Compare this concrete local family route.alibaba/wan/2.2/vace-fun/outpainting— Compare this concrete local family route.