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Alibaba modelsvideo generation api

alibaba/wan/effects

Wan Effects is Alibaba's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output.

Input

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of the input image.
Whether to use turbo mode. If True, the video will be generated faster but with lower quality.
The type of effect to apply to the video. Allowed values: squish, muscle, inflate, crush, rotate, gun-shooting, deflate, cakeify, hulk, baby, bride, classy, puppy, snow-white, disney-princess, mona-lisa, painting, pirate-captain, princess, jungle, samurai, vip, warrior, zen, assassin, timelapse, tsunami, fire, zoom-call, doom-fps, fus-ro-dah, hug-jesus, robot-face-reveal, super-saiyan, jumpscare, laughing, cartoon-jaw-drop, crying, kissing, angry-face, selfie-younger-self, animeify, blast.
0.12
The scale of the LoRA weight. Used to adjust effect intensity. Range: 0.1 to 2.
The subject to insert into the predefined prompt template for the selected effect.
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.
Random seed for reproducibility. If None, a random seed is chosen.
Idle

Example output — click Run to generate your own

API README

Wan Effects

alibaba/wan/effects is a dedicated video effects generation route in Alibaba's Wan model family. It is designed around the named transformation, using the supplied text or media references to produce a coherent creative result rather than exposing a generic endpoint with loosely related controls.

The route combines its task-specific conditioning with the family's strengths in temporal coherence, cinematic motion, and detailed visual synthesis. This makes it useful for production workflows that need deliberate art direction, recognizable subjects, consistent scene logic, and a finished asset that can move directly into review or downstream editing.

Highlights

Scene-aware effects. Adds visual phenomena that respond to the subject, environment, lighting, and camera.

Temporal consistency. Develops the effect coherently across frames rather than as unrelated overlays.

Physical integration. Coordinates particles, illumination, atmosphere, and occlusion with scene content.

Creative transformation. Turns concise direction into a production-style moving effect with evolving action.

Pricing

Billing unitPrice
Per request$0.35

When to Use

✅ Good fit❌ Consider alternatives
The model's named workflow matches the source material and intended outputA different input modality or model route is required
A managed asynchronous result is suitable for the production pipelineA synchronous, interactive editor is essential
The documented controls cover the required duration, framing, or formatThe project needs controls outside this endpoint's schema
Creative iteration benefits from a repeatable request structureExact deterministic pixels, frames, geometry, or samples are mandatory
A finished downloadable media asset is the desired deliverableEditable source layers or a native project file are required

Prompt Guide

For image-conditioned generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.

{
  "aspect_ratio": "21:9",
  "image": "https://static.sandbase.ai/examples/alibaba/wan/effects/input_image_0.jpg"
}

Technical Specs

SpecValue
Model IDalibaba/wan/effects
Inputsaspect_ratio, effect_type, image, lora_scale, seed, subject, turbo_mode
Required inputsimage
Output fieldscontent_type, url
ExecutionAsync (submit, then poll for result)
Aspect Ratio21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16

Related Models

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