wan2.5-t2i-preview

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

• alibaba/wan2.5-t2i-preview

Try in Playground

Model Overview

A text-to-image model capable of producing high-fidelity, visually accurate images.

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

The text prompt describing the content, style, or composition of the image to be generated.

negative_promptstring · max: 500Optional

The description of elements to avoid in the generated image.

num_imagesinteger · min: 1 · max: 4Optional

The number of images to generate.

Default: 1

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

watermarkbooleanOptional

Add an invisible watermark to the generated images.

Default: false

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.

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/wan2.5-t2i-preview",
    "prompt": "A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses."
  }'

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 of the specified size using a simple prompt.

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/wan2.5-t2i-preview",
            "prompt": "A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.",
            "image_size": {
                "width": 1440,
                "height": 512
            },
        }
    )

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

if __name__ == "__main__":
    main()

JS

Response

{
  "created": 1769537446493,
  "data": [
    {
      "url": "https://cdn.aimlapi.com/alpaca/1d/b0/20260128/f599ada6/50628345-4c1440df-86b3-464b-89f6-3c7b19611f6e.png?Expires=1769623835&OSSAccessKeyId=LTAI5tRcsWJEymQaTsKbKqGf&Signature=CWLemI3Pnxxa9XzWGHblYHv9tvg%3D"
    }
  ],
  "meta": {
    "usage": {
      "credits_used": 63000
    }
  }
}

We obtained the following 1440x512 image by running this code example:

"A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses."