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Alibaba modelsvideo generation api

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.

Input
The text prompt to guide video generation.
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
URL to the source video file. Required for depth task.
Resolution of the generated video. Allowed values: auto, 240p, 360p, 480p, 720p.
Random seed for reproducibility. If None, a random seed is chosen.
Idle

Example output — click Run to generate your own

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

ResolutionBilling unitPrice
autoPer generated second$0.040
240pPer generated second$0.040
360pPer generated second$0.040
480pPer generated second$0.040
720pPer generated second$0.080

When to Use

✅ Good fit❌ Consider alternatives
The project needs this exact named workflowThe intended task belongs to another media route
All required reference or control media is availableNecessary assets or rights are unavailable
The brief can state transformation and preservation goalsOutput must be deterministic at pixel or frame level
Supported duration, resolution, and format fit deliveryFinal placement requires unsupported specifications
An asynchronous generated result fits productionA 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

SpecValue
Model IDalibaba/wan/2.1/vace/depth
Input fieldsseed (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 inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

Related Models

  • alibaba/wan/2.1/text-to-video
  • alibaba/wan/2.1/image-to-video
  • alibaba/wan/2.1/vace

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