curl --request POST \
  --url https://api.evolink.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "mj-v8.2-remix",
  "prompt": "Convert to oil painting style --ar 1:1",
  "model_params": {
    "task_id": "task-unified-xxx",
    "image_number": 0,
    "mode": "strong",
    "speed": "fast"
  }
}
'

import requests

url = "https://api.evolink.ai/v1/images/generations"

payload = {
    "model": "mj-v8.2-remix",
    "prompt": "Convert to oil painting style --ar 1:1",
    "model_params": {
        "task_id": "task-unified-xxx",
        "image_number": 0,
        "mode": "strong",
        "speed": "fast"
    }
}
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({
    model: 'mj-v8.2-remix',
    prompt: 'Convert to oil painting style --ar 1:1',
    model_params: {task_id: 'task-unified-xxx', image_number: 0, mode: 'strong', speed: 'fast'}
  })
};

fetch('https://api.evolink.ai/v1/images/generations', 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.evolink.ai/v1/images/generations",
  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([
    'model' => 'mj-v8.2-remix',
    'prompt' => 'Convert to oil painting style --ar 1:1',
    'model_params' => [
        'task_id' => 'task-unified-xxx',
        'image_number' => 0,
        'mode' => 'strong',
        'speed' => 'fast'
    ]
  ]),
  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.evolink.ai/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"mj-v8.2-remix\",\n  \"prompt\": \"Convert to oil painting style --ar 1:1\",\n  \"model_params\": {\n    \"task_id\": \"task-unified-xxx\",\n    \"image_number\": 0,\n    \"mode\": \"strong\",\n    \"speed\": \"fast\"\n  }\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.evolink.ai/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"mj-v8.2-remix\",\n  \"prompt\": \"Convert to oil painting style --ar 1:1\",\n  \"model_params\": {\n    \"task_id\": \"task-unified-xxx\",\n    \"image_number\": 0,\n    \"mode\": \"strong\",\n    \"speed\": \"fast\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.evolink.ai/v1/images/generations")

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  \"model\": \"mj-v8.2-remix\",\n  \"prompt\": \"Convert to oil painting style --ar 1:1\",\n  \"model_params\": {\n    \"task_id\": \"task-unified-xxx\",\n    \"image_number\": 0,\n    \"mode\": \"strong\",\n    \"speed\": \"fast\"\n  }\n}"

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

{
  "created": 1757165031,
  "id": "task-unified-1757165031-mjv82",
  "model": "mj-v8.2-remix",
  "object": "image.generation.task",
  "progress": 0,
  "status": "pending",
  "task_info": {
    "estimated_time": 45
  },
  "type": "image",
  "usage": {
    "billing_rule": "per_call",
    "credits_reserved": 1.8,
    "user_group": "default"
  }
}

{
  "error": {
    "code": "invalid_request",
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": "unauthorized",
    "message": "Invalid or expired token",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": "insufficient_quota",
    "message": "Insufficient quota. Please top up your account.",
    "type": "insufficient_quota"
  }
}

{
  "error": {
    "code": "model_access_denied",
    "message": "Token does not have access to model: mj-v8.2-remix",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": "rate_limit_exceeded",
    "message": "Too many requests, please try again later",
    "type": "rate_limit_error"
  }
}

{
  "error": {
    "code": "internal_error",
    "message": "Internal server error",
    "type": "api_error"
  }
}