alibaba/wan/2.1/vace/depth
Wan 2.1 Vace 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/2.1/vace/depthInput Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The text prompt to guide video generation. |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
video | string | Optional | URL to the source video file. Required for depth task. |
resolution | string | Optional | Resolution of the generated video. · Options: auto, 240p, 360p, 480p, 720p · Default: "auto" auto240p360p480p720p |
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/depth",
"video": "https://static.sandbase.ai/examples/alibaba/wan/2.1/vace/depth/input_video_0.mp4",
"prompt": "A confident woman strides toward the camera down a sun-drenched, empty street. Her vibrant summer dress, a flowing emerald green with delicate white floral embroidery, billows slightly in the gentle breeze. She carries a stylish, woven straw bag, its natural tan contrasting beautifully with the dress. The dress's fabric shimmers subtly, catching the light. The white embroidery is intricate, each tiny flower meticulously detailed. Her expression is focused, yet relaxed, radiating self-assuredness. Her auburn hair, partially pulled back in a loose braid, catches the sunlight, creating warm highlights. The street itself is paved with warm, grey cobblestones, reflecting the bright sun. The mood is optimistic and serene, emphasizing the woman's independence and carefree spirit. High resolution 4k",
"resolution": "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 Depth
Wan 2.1 VACE Depth is a Wan-family route for depth-guided video generation. Wan’s video-focused generative architecture models appearance and time together, so supplied references, structural conditions, masks, speech, or written scene direction can influence a coherent sequence rather than a collection of unrelated frames. This exact route concentrates that architecture on its named production task.
Use the route when the available source material and final brief specifically require depth-guided video generation. Identify every subject or condition, explain the intended action or transformation, and describe camera behavior, pacing, environment, lighting, atmosphere, and preservation constraints. This separates creative intent from the local duration, resolution, and delivery fields documented below.
Highlights
- Depth-conditioned geometry. Uses a depth sequence to preserve spatial structure and three-dimensional relationships.
- Controlled scene re-rendering. Changes appearance while following the supplied geometry over time.
- Temporal structural consistency. Keeps the depth-guided layout stable across consecutive frames.
- Prompt-directed finish. Uses written direction for subjects, materials, lighting, and atmosphere around the structural condition.
Pricing
| Resolution | Billing unit | Price |
|---|---|---|
| auto | Per generated second | $0.040 |
| 240p | Per generated second | $0.040 |
| 360p | Per generated second | $0.040 |
| 480p | Per generated second | $0.040 |
| 720p | Per generated second | $0.080 |
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",
"seed": 1,
"video": "https://example.com/source.mp4",
"resolution": "auto"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.1/vace/depth |
| Input fields | seed (integer)<br>video (string)<br>prompt (string)<br>resolution (string; auto, 240p, 360p, 480p, 720p)<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

