WAN 2.7 Image Edit API

Alibaba WAN 2.7 image editing. Standard and Pro tiers, supports up to 9 input images for fusion edits. Integrate this model via REST with endpoint docs, parameters, and code examples.

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Image Generation

Img2Img

Credit Cost

1 credit

Type

Image

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See Usage

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API Endpoint

POST

/api/v1/models/wan-2.7-image-edit/run

Test This Model

Run a real request through the API pipeline and inspect the exact input and output your integration will handle. Uses your credits like any API call; failed runs are refunded automatically.

LLM.txt

AI-Ready

For AI assistants

Copy this model's documentation into Claude, GPT, or any AI for instant integration help.

/llm/wan-2.7-image-edit.txt

OpenAPI Spec

Swagger compatible

Import into Postman, Swagger UI, or generate client SDKs in any language.

/api/openapi

Parameters

Input parameters accepted by this model

Parameter	Type	Description	Default
`prompt` required	string	Edit instruction or composition prompt (max 5,000 characters).	-
`image_urls` required	array	Up to 9 input images. Each image: JPEG/JPG/PNG (no alpha) / BMP / WEBP, 240–8000px on each side, aspect ratio between 1:8 and 8:1, max 20 MB. min items: 1 \| max items: 9	-
`size`	enum	Output resolution. Use a tier (1K/2K — recommended; 2K default) or an explicit widthheight. Edit and multi-image flows cap at 2K on both models. `1K2K128012801024102420482048`+14 more	`2K`
`seed`	integer	Random seed (0–2147483647). Same seed + same inputs yields similar (but not identical) outputs. Omit for random. min: 0 \| max: 2147483647	-
`bbox_list`	array	Optional per-image bounding boxes for interactive editing. Outer length must match image_urls; each inner list holds up to 2 boxes of [x1, y1, x2, y2] in pixels. Pass [] for images that don't need a box.	-

Example Outputs

Real outputs generated by this model

View Details

swap the background for a neon-lit city street at night, keep the cyclist and bike identical

1 credit

10.4s

View Details

the same man presenting a new smartphone toward the camera while standing at a marble desk, soft studio light, product-launch photo

1 credit

10.4s

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cinematic rework of this photo: dramatic teal and orange color grade, volumetric window light, high contrast, film still

1 credit

10.0s

View Details

a thrilling action sequence of a woman trying to find her favorite candy. The candy wrapper is purple with a pixelated dragon and reads "Pixel Dojo". The woman says "Gotta have that pixel dojo candy. with over 60 ai tools, it's basically zero calories."

1 credit

10.2s

View Details

1 credit

10.2s

Code Examples

Single image edit — copy and paste to get started

bash

curl -X POST "https://pixeldojo.ai/api/v1/models/wan-2.7-image-edit/run" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "make the sky stormy",
    "image_urls": [
      "https://..."
    ],
    "model": "wan-2.7-pro"
  }'

Response Format

Submit Response (202 Accepted)

json

{
  "jobId": "job_abc123...",
  "status": "pending",
  "statusUrl": "https://pixeldojo.ai/api/v1/jobs/job_abc123...",
  "creditCost": 1,
  "creditsRemaining": 95,
  "expiresAt": "2026-07-15T01:55:02Z"
}

Completed Response

json

{
  "jobId": "job_abc123...",
  "status": "completed",
  "output": {
    "images": [
      "https://temp.pixeldojo.ai/pixeldojotemp/1705930123-456789.png"
    ]
  },
  "creditCost": 1,
  "expiresAt": "2026-07-15T01:55:02Z"
}

LLM Documentation Try in Web UI Get API Key Usage Dashboard Buy Credits

WAN 2.7 Image Edit API

Get API Key

See Usage

Buy Credits

API Endpoint

Test This Model

LLM.txt

OpenAPI Spec

Parameters

See also

Example Outputs

Code Examples

Response Format

Submit Response (202 Accepted)

Completed Response