curl --request POST \
  --url https://www.anyfast.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "seedream-5-0-lite-260128",
  "prompt": "生成四张连贯的电影分镜，展示宇航员维修飞船的过程。",
  "size": "2K",
  "sequential_image_generation": "auto",
  "sequential_image_generation_options": {
    "max_images": 4
  },
  "output_format": "png",
  "response_format": "url",
  "watermark": false
}
'

import requests

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

payload = {
    "model": "seedream-5-0-lite-260128",
    "prompt": "生成四张连贯的电影分镜，展示宇航员维修飞船的过程。",
    "size": "2K",
    "sequential_image_generation": "auto",
    "sequential_image_generation_options": { "max_images": 4 },
    "output_format": "png",
    "response_format": "url",
    "watermark": False
}
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: 'seedream-5-0-lite-260128',
    prompt: '生成四张连贯的电影分镜，展示宇航员维修飞船的过程。',
    size: '2K',
    sequential_image_generation: 'auto',
    sequential_image_generation_options: {max_images: 4},
    output_format: 'png',
    response_format: 'url',
    watermark: false
  })
};

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' => 'seedream-5-0-lite-260128',
    'prompt' => '生成四张连贯的电影分镜，展示宇航员维修飞船的过程。',
    'size' => '2K',
    'sequential_image_generation' => 'auto',
    'sequential_image_generation_options' => [
        'max_images' => 4
    ],
    'output_format' => 'png',
    'response_format' => 'url',
    'watermark' => false
  ]),
  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\": \"seedream-5-0-lite-260128\",\n  \"prompt\": \"生成四张连贯的电影分镜，展示宇航员维修飞船的过程。\",\n  \"size\": \"2K\",\n  \"sequential_image_generation\": \"auto\",\n  \"sequential_image_generation_options\": {\n    \"max_images\": 4\n  },\n  \"output_format\": \"png\",\n  \"response_format\": \"url\",\n  \"watermark\": false\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\": \"seedream-5-0-lite-260128\",\n  \"prompt\": \"生成四张连贯的电影分镜，展示宇航员维修飞船的过程。\",\n  \"size\": \"2K\",\n  \"sequential_image_generation\": \"auto\",\n  \"sequential_image_generation_options\": {\n    \"max_images\": 4\n  },\n  \"output_format\": \"png\",\n  \"response_format\": \"url\",\n  \"watermark\": false\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\": \"seedream-5-0-lite-260128\",\n  \"prompt\": \"生成四张连贯的电影分镜，展示宇航员维修飞船的过程。\",\n  \"size\": \"2K\",\n  \"sequential_image_generation\": \"auto\",\n  \"sequential_image_generation_options\": {\n    \"max_images\": 4\n  },\n  \"output_format\": \"png\",\n  \"response_format\": \"url\",\n  \"watermark\": false\n}"

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

{
  "model": "seedream-5-0-260128",
  "created": 1784880000,
  "data": [
    {
      "url": "https://example.com/generated-image.png",
      "b64_json": "<string>",
      "size": "2048x2048"
    }
  ],
  "usage": {
    "generated_images": 4,
    "output_tokens": 123,
    "total_tokens": 123
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "type": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "type": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "type": "<string>"
  }
}