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Alibaba modelsimage generation api

alibaba/wan/2.5/image-edit

Wan 2.5 Image Edit by Alibaba - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.

Input
The text prompt describing how to edit the image. Max 2000 characters.

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

URLs of images to edit. For single-image editing, provide 1 URL. For multi-reference generation, provide up to 2 URLs. If more than 2 URLs are provided, only the first 2 will be used.
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 2.5 Image Edit

Wan 2.5 Image Edit is the Wan 2.5 workflow for visual 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 visual 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

  • 2.5 Written-scene filmmaking. Builds subjects, action, setting, and shot language from a text brief.
  • 2.5 Temporal motion coherence. Maintains plausible movement and interaction across consecutive frames.
  • 2.5 Cinematic camera interpretation. Responds to framing, lens behavior, camera movement, and pacing.
  • 2.5 Scene continuity. Keeps environment and subject logic connected throughout the clip.

Pricing

ConfigurationBilling unitPrice
Base generationPer request$0.05

When to Use

✅ Good fit❌ Consider alternatives
The project needs this exact image 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,
  "images": [
    "https://example.com/reference.jpg"
  ],
  "aspect_ratio": "21:9"
}

Technical Specs

SpecValue
Model IDalibaba/wan/2.5/image-edit
Input fieldsseed (integer)<br>images (array)<br>prompt (string)<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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