alibaba/wan/2.2/image-edit
Wan 2.2 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
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/wan/2.2/image-editInput Schema
6 parameters · 2 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of the input image. |
prompt | string | Required | The text prompt to guide image generation. |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
strength | number | Optional | Denoising strength. 1.0 = fully remake; 0.0 = preserve original. · Min: 0 · Max: 1 · Default: 0.5 |
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_format | string | Optional | The format of the output image. · Options: png, jpeg · Default: "jpeg" pngjpeg |
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/2.2/image-edit",
"image": "https://static.sandbase.ai/examples/alibaba/wan/2.2/image-edit/input_image_0.png",
"prompt": "A cinematic shot of an ancient city at sunset, intricate stone buildings, warm golden light",
"strength": 0.5,
"output_format": "jpeg"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Wan 2.2 Image Edit
Wan 2.2 Image Edit is the Wan 2.2 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
- 2.2 Written-scene filmmaking. Builds subjects, action, setting, and shot language from a text brief.
- 2.2 Temporal motion coherence. Maintains plausible movement and interaction across consecutive frames.
- 2.2 Cinematic camera interpretation. Responds to framing, lens behavior, camera movement, and pacing.
- Wan 2.2 still-image revision. Applies Wan visual understanding to semantic and appearance edits on a supplied image rather than generating a video.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.03 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact named workflow | The intended task belongs to another media route |
| All required reference or control media is available | Necessary assets or rights are unavailable |
| The brief can state transformation and preservation goals | Output must be deterministic at pixel or frame level |
| Supported duration, resolution, and format fit delivery | Final placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.
{
"prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
"image": "https://example.com/reference.png",
"seed": 1,
"strength": 0.5,
"aspect_ratio": "21:9"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.2/image-edit |
| Input fields | seed (integer)<br>image (string)<br>prompt (string)<br>strength (number)<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>output_format (string; png, jpeg) |
| Required input | prompt, image |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.1/text-to-videoalibaba/wan/2.1/image-to-videoalibaba/wan/2.1/vace
