MuleRouter Documentation - AI API Gateway & Routing Platform

Create Generation Task

curl --request POST \
  --url https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "images": [
    "<string>"
  ],
  "negative_prompt": "<string>",
  "size": "1280*1280",
  "n": 4,
  "seed": 1073741823,
  "prompt_extend": false,
  "safety_filter": true
}
'

import requests

url = "https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation"

payload = {
    "prompt": "<string>",
    "images": ["<string>"],
    "negative_prompt": "<string>",
    "size": "1280*1280",
    "n": 4,
    "seed": 1073741823,
    "prompt_extend": False,
    "safety_filter": True
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: '<string>',
    images: ['<string>'],
    negative_prompt: '<string>',
    size: '1280*1280',
    n: 4,
    seed: 1073741823,
    prompt_extend: false,
    safety_filter: true
  })
};

fetch('https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'prompt' => '<string>',
    'images' => [
        '<string>'
    ],
    'negative_prompt' => '<string>',
    'size' => '1280*1280',
    'n' => 4,
    'seed' => 1073741823,
    'prompt_extend' => false,
    'safety_filter' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"images\": [\n    \"<string>\"\n  ],\n  \"negative_prompt\": \"<string>\",\n  \"size\": \"1280*1280\",\n  \"n\": 4,\n  \"seed\": 1073741823,\n  \"prompt_extend\": false,\n  \"safety_filter\": true\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"images\": [\n    \"<string>\"\n  ],\n  \"negative_prompt\": \"<string>\",\n  \"size\": \"1280*1280\",\n  \"n\": 4,\n  \"seed\": 1073741823,\n  \"prompt_extend\": false,\n  \"safety_filter\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"images\": [\n    \"<string>\"\n  ],\n  \"negative_prompt\": \"<string>\",\n  \"size\": \"1280*1280\",\n  \"n\": 4,\n  \"seed\": 1073741823,\n  \"prompt_extend\": false,\n  \"safety_filter\": true\n}"

response = http.request(request)
puts response.read_body

{
  "task_info": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "status": "pending",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z"
  }
}

POST

vendors

alibaba

wan2.6-image

generation

Create Generation Task

curl --request POST \
  --url https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "images": [
    "<string>"
  ],
  "negative_prompt": "<string>",
  "size": "1280*1280",
  "n": 4,
  "seed": 1073741823,
  "prompt_extend": false,
  "safety_filter": true
}
'

import requests

url = "https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation"

payload = {
    "prompt": "<string>",
    "images": ["<string>"],
    "negative_prompt": "<string>",
    "size": "1280*1280",
    "n": 4,
    "seed": 1073741823,
    "prompt_extend": False,
    "safety_filter": True
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: '<string>',
    images: ['<string>'],
    negative_prompt: '<string>',
    size: '1280*1280',
    n: 4,
    seed: 1073741823,
    prompt_extend: false,
    safety_filter: true
  })
};

fetch('https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'prompt' => '<string>',
    'images' => [
        '<string>'
    ],
    'negative_prompt' => '<string>',
    'size' => '1280*1280',
    'n' => 4,
    'seed' => 1073741823,
    'prompt_extend' => false,
    'safety_filter' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"images\": [\n    \"<string>\"\n  ],\n  \"negative_prompt\": \"<string>\",\n  \"size\": \"1280*1280\",\n  \"n\": 4,\n  \"seed\": 1073741823,\n  \"prompt_extend\": false,\n  \"safety_filter\": true\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"images\": [\n    \"<string>\"\n  ],\n  \"negative_prompt\": \"<string>\",\n  \"size\": \"1280*1280\",\n  \"n\": 4,\n  \"seed\": 1073741823,\n  \"prompt_extend\": false,\n  \"safety_filter\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.mulerouter.ai/vendors/alibaba/v1/wan2.6-image/generation")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"images\": [\n    \"<string>\"\n  ],\n  \"negative_prompt\": \"<string>\",\n  \"size\": \"1280*1280\",\n  \"n\": 4,\n  \"seed\": 1073741823,\n  \"prompt_extend\": false,\n  \"safety_filter\": true\n}"

response = http.request(request)
puts response.read_body

{
  "task_info": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "status": "pending",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z"
  }
}

This API is compatible with Alibaba’s Tongyi Wanxiang (Wan2) models. Please refer to Alibaba Cloud’s official documentation for more details.

Overview

Edit and transform images using the wan2.6-image model with text prompts and reference images.

Image Requirements

Property	Requirement
Formats	JPEG, JPG, PNG, BMP, WEBP
Dimensions	[384, 5000] pixels for both width and height
Max file size	10MB per image
Max images	2 images
Input	Public URL or Base64 encoded data

Resolution Guidelines

Default: 1280*1280
Total pixels: Between 768*768 and 1440*1440
Aspect ratio: Between 1:4 and 4:1

Example Requests

Basic Image Editing

{
  "prompt": "Replace the character's clothing with traditional Chinese Hanfu",
  "images": ["https://example.com/portrait.jpg"],
  "n": 1
}

With Negative Prompt

{
  "prompt": "Transform the image into an oil painting style",
  "negative_prompt": "blurry, low quality, distorted",
  "images": ["https://example.com/photo.jpg"],
  "size": "1280*1280",
  "n": 1
}

With Custom Seed

{
  "prompt": "Add a colorful sunset background",
  "images": ["https://example.com/portrait.jpg"],
  "size": "1280*720",
  "n": 1,
  "seed": 42
}

Parameters

images

Required: Yes
Max items: 2
Description: Array of image URLs or Base64 encoded data

n (Number of Images)

Range: 1-4
Default: 4
Note: Directly affects cost

prompt_extend (Prompt Rewriting)

Default: false
Effect: Uses AI to enhance and expand short prompts

seed (Random Seed)

Range: 0 to 2,147,483,647
Purpose: Improves reproducibility of results

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

prompt

string

required

Text description for the desired edit (max 2000 characters)

Maximum string length: 2000

images

string[]

required

Array of image URLs or Base64 encoded data (max 3 images)

Supported formats: JPEG, JPG, PNG, BMP, WEBP Dimensions: [384, 5000] pixels for both width and height Max file size: 10MB per image

Maximum array length: 3

negative_prompt

string

Negative prompt (max 500 characters)

Maximum string length: 500

size

string | null

default:1280*1280

Output image resolution (format: "width*height")

Default: 1280*1280 Total pixels: [768*768, 1440*1440], aspect ratio: [1:4, 4:1]

integer

default:4

Number of images to generate (1-4)

Required range: 1 <= x <= 4

seed

integer

Random seed [0, 2147483647]

Required range: 0 <= x <= 2147483647

prompt_extend

boolean

default:false

Enable intelligent prompt rewriting

safety_filter

boolean | null

default:true

Enable content safety filter. Defaults to true. Set to false to disable content safety inspection.

Response

202 - application/json

Accepted - Task created successfully

task_info

object

Show child attributes

Reference

Account

LLM

Image Generation

Video Generation

Speech Generation

Music Generation

Wan 2.6 Image-To-Image Generation

Overview

Image Requirements

Resolution Guidelines

Example Requests

Basic Image Editing

With Negative Prompt

With Custom Seed

Parameters

images

n (Number of Images)

prompt_extend (Prompt Rewriting)

seed (Random Seed)

Authorizations

Body

Response

​Overview

​Image Requirements

​Resolution Guidelines

​Example Requests

​Basic Image Editing

​With Negative Prompt

​With Custom Seed

​Parameters

​images

​n (Number of Images)

​prompt_extend (Prompt Rewriting)

​seed (Random Seed)

Authorizations

Body

Response

Overview

Image Requirements

Resolution Guidelines

Example Requests

Basic Image Editing

With Negative Prompt

With Custom Seed

Parameters

images

n (Number of Images)

prompt_extend (Prompt Rewriting)

seed (Random Seed)