curl --request POST \
  --url https://www.anyfast.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "doubao-seedream-5-0-pro",
  "prompt": "Add a ceramic coffee cup to the marked area and keep the original composition.",
  "image": [
    "https://example.com/source.png",
    "https://example.com/target.png"
  ],
  "size": "<string>",
  "response_format": "url",
  "output_format": "jpeg",
  "watermark": true,
  "optimize_prompt_options": {
    "mode": "standard"
  }
}
'

import requests

url = "https://www.anyfast.ai/v1/images/generations"

payload = {
    "model": "doubao-seedream-5-0-pro",
    "prompt": "Add a ceramic coffee cup to the marked area and keep the original composition.",
    "image": ["https://example.com/source.png", "https://example.com/target.png"],
    "size": "<string>",
    "response_format": "url",
    "output_format": "jpeg",
    "watermark": True,
    "optimize_prompt_options": { "mode": "standard" }
}
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: 'doubao-seedream-5-0-pro',
    prompt: 'Add a ceramic coffee cup to the marked area and keep the original composition.',
    image: ['https://example.com/source.png', 'https://example.com/target.png'],
    size: '<string>',
    response_format: 'url',
    output_format: 'jpeg',
    watermark: true,
    optimize_prompt_options: {mode: 'standard'}
  })
};

fetch('https://www.anyfast.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://www.anyfast.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' => 'doubao-seedream-5-0-pro',
    'prompt' => 'Add a ceramic coffee cup to the marked area and keep the original composition.',
    'image' => [
        'https://example.com/source.png',
        'https://example.com/target.png'
    ],
    'size' => '<string>',
    'response_format' => 'url',
    'output_format' => 'jpeg',
    'watermark' => true,
    'optimize_prompt_options' => [
        'mode' => 'standard'
    ]
  ]),
  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://www.anyfast.ai/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"doubao-seedream-5-0-pro\",\n  \"prompt\": \"Add a ceramic coffee cup to the marked area and keep the original composition.\",\n  \"image\": [\n    \"https://example.com/source.png\",\n    \"https://example.com/target.png\"\n  ],\n  \"size\": \"<string>\",\n  \"response_format\": \"url\",\n  \"output_format\": \"jpeg\",\n  \"watermark\": true,\n  \"optimize_prompt_options\": {\n    \"mode\": \"standard\"\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://www.anyfast.ai/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"doubao-seedream-5-0-pro\",\n  \"prompt\": \"Add a ceramic coffee cup to the marked area and keep the original composition.\",\n  \"image\": [\n    \"https://example.com/source.png\",\n    \"https://example.com/target.png\"\n  ],\n  \"size\": \"<string>\",\n  \"response_format\": \"url\",\n  \"output_format\": \"jpeg\",\n  \"watermark\": true,\n  \"optimize_prompt_options\": {\n    \"mode\": \"standard\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.anyfast.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\": \"doubao-seedream-5-0-pro\",\n  \"prompt\": \"Add a ceramic coffee cup to the marked area and keep the original composition.\",\n  \"image\": [\n    \"https://example.com/source.png\",\n    \"https://example.com/target.png\"\n  ],\n  \"size\": \"<string>\",\n  \"response_format\": \"url\",\n  \"output_format\": \"jpeg\",\n  \"watermark\": true,\n  \"optimize_prompt_options\": {\n    \"mode\": \"standard\"\n  }\n}"

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

{
  "model": "<string>",
  "description": "<unknown>",
  "example": "<unknown>",
  "created": 1775029815,
  "data": [
    {
      "url": "https://ark-content-generation-v2-cn-beijing.example.com/image.png",
      "b64_json": "<string>",
      "output_format": "png",
      "size": "2048x2048",
      "error": {
        "code": "<string>",
        "message": "<string>"
      }
    }
  ],
  "usage": {
    "generated_images": 1,
    "input_images": 2,
    "output_tokens": 16384,
    "total_tokens": 16384
  },
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}