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Alibaba modelsvideo generation api

alibaba/wan/2.2/text-to-video/turbo

Wan 2.2 Turbo is Alibaba's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition.

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.
Resolution of the generated video (480p, 580p, or 720p). Allowed values: 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 2.2 Text to Video Turbo

Wan 2.2 Text to Video Turbo is the Wan 2.2 speed-oriented workflow for prompt-led video. 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 prompt-led video. 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 Fast Written-scene filmmaking. Builds subjects, action, setting, and shot language from a text brief.
  • 2.2 Fast Temporal motion coherence. Maintains plausible movement and interaction across consecutive frames.
  • 2.2 Fast Cinematic camera interpretation. Responds to framing, lens behavior, camera movement, and pacing.
  • Turbo production synthesis. Uses the Wan 2.2 Turbo path for rapid scene generation in the route’s supported delivery modes.

Pricing

ConfigurationBilling unitPrice
480pPer request$0.05
720pPer request$0.10

When to Use

✅ Good fit❌ Consider alternatives
The project needs this exact text-to-video 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,
  "resolution": "480p",
  "aspect_ratio": "21:9"
}

Technical Specs

SpecValue
Model IDalibaba/wan/2.2/text-to-video/turbo
Input fieldsseed (integer)<br>prompt (string)<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)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

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