wan2.6-image

This documentation is valid for the following list of our models:

• alibaba/wan-2-6-image

Try in Playground

Model Overview

Text-to-Image and Image-to-Image generator in a single model, providing artists and creators with complete creative freedom.

Setup your API Key

If you don’t have an API key for the AI/ML API yet, feel free to use our Quickstart guide.

API Schema

post

Body

application/json

modelstring · enumRequiredPossible values:

promptstring · max: 2000Required

A positive prompt that describes the desired elements and visual features in the edited image.

image_urlsstring · uri[] · min: 1 · max: 3Optional

List of URLs or local Base64 encoded images to edit.

image_sizeany ofOptional

The size of the generated image.

Default: landscape_4_3

or

string · enumOptional

The size of the generated image.

Possible values:

enhance_promptbooleanOptional

Optional parameter to use an LLM-based prompt rewriting feature for higher-quality images that better match the original prompt. Disabling it may affect image quality and prompt alignment.

Default: true

negative_promptstring · max: 500Optional

The description of elements to avoid in the generated image.

seedinteger · max: 2147483647Optional

The same seed and the same prompt given to the same version of the model will output the same image every time.

watermarkbooleanOptional

Add an invisible watermark to the generated images.

Default: false

Responses

200Success

application/json

post

/v1/images/generations

cURLJavaScriptPython

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/images/generations' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
      "model": "alibaba/wan-2-6-image",
      "prompt": "Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect.",
      "image_urls": [
        "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png",
        "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/blue-mug.jpg"
      ]
    }'

200Success

{
  "data": [
    {
      "url": "https://cdn.aimlapi.com/generations/hedgehog/1749730923700-29fe35d2-4aef-4bc5-a911-6c39884d16a8.png",
      "b64_json": null
    }
  ],
  "meta": {
    "usage": {
      "credits_used": 120000
    }
  }
}

Quick Example

Let's generate an image using two input images and a prompt that defines how they should be edited.

Python

import requests
import json  # for getting a structured output with indentation

def main():
    response = requests.post(
        "https://api.aimlapi.com/v1/images/generations",
        headers={
            # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
            "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
            "Content-Type": "application/json",
        },
        json={
            "model": "alibaba/wan-2-6-image",
            "prompt": "Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect.",
            "image_urls": [
                "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png",
                "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/blue-mug.jpg"
            ]
        }
    )

    data = response.json()
    print(json.dumps(data, indent=2, ensure_ascii=False))

if __name__ == "__main__":
    main()

JS

Response

Reference Images	Generated Image
Image #1	"Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect."
Image #2