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.
PNG, JPEG, WebP, or GIF · 20 MiB maximum each
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/wan/2.5/image-editInput Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The text prompt describing how to edit the image. Max 2000 characters. · Min length: 1 |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
images | string[] | Optional | 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. |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "alibaba/wan/2.5/image-edit",
"images": [
"https://static.sandbase.ai/examples/alibaba/wan/2.5/image-edit/input_images_0.png"
],
"prompt": "Reimagine the scene under a raging thunderstorm at night: lightning forks across the sky, illuminating the samurai in stark flashes of white light."
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"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
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.05 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact image editing workflow | The intended task belongs to a different media route |
| Available source media matches every required field | Required assets or usage rights are unavailable |
| The brief can define subject, action, camera, and style | Output must be deterministic at frame or pixel level |
| Supported duration, resolution, and framing fit delivery | Final placement requires unsupported specifications |
| An asynchronous generation job fits production | A 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
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.5/image-edit |
| Input fields | seed (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 input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.5/image-to-video— Compare this concrete local family route.alibaba/wan/2.5/text-to-image— Compare this concrete local family route.alibaba/wan/2.5/text-to-video— Compare this concrete local family route.

