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Alibaba modelsvideo generation api

alibaba/wan/2.2/vace-fun/outpainting

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.

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 outpainting.
Resolution of the generated video. Allowed values: auto, 240p, 360p, 480p, 720p.
Random seed for reproducibility. If None, a random seed is chosen.
Whether to expand the video to the left.
Whether to expand the video to the right.
Whether to expand the video to the bottom.
Whether to expand the video to the top.
01
Amount of expansion. This is a float value between 0 and 1, where 0.25 adds 25% to the original video size on the specified sides. Range: 0 to 1.
Idle

Example output — click Run to generate your own

API README

Wan 2.2 VACE Fun Outpainting

Wan 2.2 VACE Fun Outpainting is the Wan 2.2 workflow for canvas-extending video generation. 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 canvas-extending video generation. 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 Temporal outpainting. Creates new scene content beyond the original frame boundaries.
  • 2.2 Perspective continuation. Extends geometry, horizon, and environment into the wider canvas.
  • 2.2 Cross-frame edge consistency. Keeps generated border content stable through motion.
  • 2.2 Composition-aware expansion. Reframes the action while preserving the source clip’s central intent.

Pricing

ResolutionPrice 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 outpainting workflowThe intended task belongs to a different media route
Available source media matches every required fieldRequired assets or usage rights are unavailable
The brief can define subject, action, camera, and styleOutput must be deterministic at frame or pixel level
Supported duration, resolution, and framing fit deliveryFinal placement requires unsupported specifications
An asynchronous generation job fits productionA 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": "A cinematic scene with clearly directed subject action, camera movement, lighting, pacing, and atmosphere",
  "seed": 1,
  "video": "https://example.com/source.mp4",
  "expand_top": false
}

Technical Specs

SpecValue
Model IDalibaba/wan/2.2/vace-fun/outpainting
Input fieldsseed (integer)<br>video (string)<br>prompt (string)<br>expand_top (boolean)<br>resolution (string; auto, 240p, 360p, 480p, 720p)<br>expand_left (boolean)<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>expand_ratio (number; 0–1)<br>expand_right (boolean)<br>expand_bottom (boolean)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

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