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Alibaba modelsvideo generation api

alibaba/wan/2.1/vace/pose

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.

Input
The text prompt to guide video generation. For pose task, the prompt should describe the desired pose and action of the subject in the video.
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 pose 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 Pose

Wan 2.1 VACE Pose is a Wan-family route for pose-controlled 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 pose-controlled 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

  • Pose-guided movement. Uses a pose sequence to direct body position and action over time.
  • Motion transfer. Carries articulated movement into a newly rendered subject or scene.
  • Temporal anatomy consistency. Maintains recognizable body structure across the controlled sequence.
  • Appearance freedom. Allows style, clothing, lighting, and environment to change around the pose 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/pose
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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