alibaba/wan/2.7/edit
Alibaba Wan 2.7 image editing model with multi-reference support and configurable output format.
PNG, JPEG, WebP, or GIF · 20 MiB maximum each
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/2.7/editInput Schema
5 parameters · 2 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
images | string[] | Required | List of input image URLs for editing. Up to 4 images. |
prompt | string | Required | The editing instruction describing what changes to make. · Min length: 1 · Max length: 10000 · Default: "Convert this photograph into a delicate watercolor painting style with visible brush strokes and soft color bleeding" |
seed | integer | Optional | Random seed for reproducible results. |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 4:3, 1:1, 3:4, 9:16, 9:21 21:916:94:31:13:49:169:21 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "jpeg" jpegpng |
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/2.7/edit",
"images": [
"https://static.sandbase.ai/samples/image-editing/edit-style-watercolor-source.png"
],
"prompt": "Convert this photograph into a delicate watercolor painting style with visible brush strokes and soft color bleeding",
"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 2.7 Edit
Wan 2.7 Edit applies Wan 2.7 understanding to still-image revision, changing requested content while keeping the source composition and identity cues available for continuity. It can rework objects, setting, styling, text, illumination, or presentation without forcing the creator to reconstruct the entire visual from scratch.
Describe the edit in terms of the desired final image, and explicitly name the people, products, geometry, or graphic elements that must stay stable. This model fits campaign localization, product variations, scene relighting, wardrobe changes, and art-direction iterations where source fidelity remains important.
Highlights
- Semantic image transformation. Changes object meaning, scene context, or artistic treatment through natural-language direction.
- Unrequested-content retention. Preserves important subjects and layout outside the intended revision.
- Context-matched reconstruction. Makes new content agree with the source perspective, material, color, and illumination.
- Iterative creative refinement. Supports successive corrections while maintaining continuity with the evolving image.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.03 |
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.
{
"aspect_ratio": "21:9",
"images": [
"https://example.com/reference-1.png",
"https://example.com/reference-2.png"
],
"output_format": "jpeg",
"prompt": "Convert this photograph into a delicate watercolor painting style with visible brush strokes and soft color bleeding",
"seed": 1
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.7/edit |
| Input fields | seed (integer)<br>images (array)<br>prompt (string)<br>aspect_ratio (string; 21:9, 16:9, 4:3, 1:1, 3:4, 9:16, 9:21)<br>output_format (string; jpeg, png) |
| Required input | prompt, images |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.7— Compare this concrete local family route.alibaba/wan/2.7/edit-video— Compare this concrete local family route.alibaba/wan/2.7/image-to-video— Compare this concrete local family route.