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Alibaba modelsvideo generation api

alibaba/wan/2.2/video-to-video

Wan 2.2 Video To Video 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 of the input video.
Resolution of the generated video (480p, 580p, or 720p). Allowed values: 480p, 720p.
01
Strength of the video transformation. A value of 1.0 means the output will be completely based on the prompt, while a value of 0.0 means the output will be identical to the input video. Range: 0 to 1.
Random seed for reproducibility. If None, a random seed is chosen.
If true, the video will be resampled to the passed frames per second. If false, the video will not be resampled.
Idle

Example output — click Run to generate your own

API README

Wan 2.2 Video to Video

Wan 2.2 Video to Video is the Wan 2.2 workflow for source-video transformation. 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 source-video transformation. 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 source editing. Changes an existing clip while retaining its timeline and scene foundation.
  • 2.2 Cross-frame edit consistency. Applies the transformation coherently instead of independently per frame.
  • 2.2 Semantic scene revision. Changes objects, style, environment, or presentation through written direction.
  • 2.2 Motion and identity preservation. Retains important subject movement and recognizable content where requested.

Pricing

ConfigurationBilling unitPrice
Generated duration480p, per second$0.040
Generated duration720p, per second$0.080

When to Use

✅ Good fit❌ Consider alternatives
The project needs this exact video editing 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",
  "strength": 0.9
}

Technical Specs

SpecValue
Model IDalibaba/wan/2.2/video-to-video
Input fieldsseed (integer)<br>video (string)<br>prompt (string)<br>strength (number; 0–1)<br>resolution (string; 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)<br>resample_fps (boolean)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

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