alibaba/wan/2.7/pro/edit
Alibaba Wan 2.7 Pro 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
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/wan/2.7/pro/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: "Change the time to dramatic sunset with orange and purple sky, long shadows, warm golden light on the lighthouse" |
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/pro/edit",
"images": [
"https://static.sandbase.ai/samples/image-editing/edit-time-of-day-source.png"
],
"prompt": "Change the time to dramatic sunset with orange and purple sky, long shadows, warm golden light on the lighthouse",
"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 Pro Edit
Wan 2.7 Pro Edit provides the higher-fidelity Wan 2.7 image-editing path for demanding source-led revisions. It focuses on preserving fine subject, product, layout, and material details while interpreting complex change instructions, making it appropriate when a rough transformation is not sufficient for final creative work.
Select it for hero imagery, premium campaign variants, detailed product edits, and design-heavy assets where small errors are visible. Separate preservation requirements from the requested transformation, and describe typography, surface finish, lighting direction, spatial relationships, and intended realism with production-level precision.
Highlights
- High-fidelity source preservation. Retains fine identity, material, and composition details through substantial edits.
- Complex instruction handling. Coordinates several requested changes without losing the overall visual hierarchy.
- Professional reconstruction quality. Blends generated regions with convincing texture, perspective, and illumination.
- Detail-sensitive design revision. Handles small branded, typographic, and product features that require careful continuity.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.075 |
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": "Change the time to dramatic sunset with orange and purple sky, long shadows, warm golden light on the lighthouse",
"seed": 1
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.7/pro/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/pro— Compare this concrete local family route.alibaba/wan/2.7— Compare this concrete local family route.alibaba/wan/2.7/edit— Compare this concrete local family route.