curl --request POST \
  --url https://geekai.co/api/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-image-1",
  "prompt": "画一只可爱的小猫",
  "negative_prompt": "<string>",
  "image": "<string>",
  "strength": 0.5,
  "size": "1024x1024",
  "aspect_ratio": "1:1",
  "n": 1,
  "quality": "medium",
  "style_preset": "3d-model",
  "response_format": "url",
  "output_format": "png",
  "mask": "<string>",
  "watermark": false,
  "background": "auto",
  "extra_body": {
    "sequential_image_generation": "disabled",
    "sequential_image_generation_options": {
      "max_images": 15
    },
    "layer_decomposition": false
  },
  "async": false,
  "retries": 0
}
'

import requests

url = "https://geekai.co/api/v1/images/generations"

payload = {
    "model": "gpt-image-1",
    "prompt": "画一只可爱的小猫",
    "negative_prompt": "<string>",
    "image": "<string>",
    "strength": 0.5,
    "size": "1024x1024",
    "aspect_ratio": "1:1",
    "n": 1,
    "quality": "medium",
    "style_preset": "3d-model",
    "response_format": "url",
    "output_format": "png",
    "mask": "<string>",
    "watermark": False,
    "background": "auto",
    "extra_body": {
        "sequential_image_generation": "disabled",
        "sequential_image_generation_options": { "max_images": 15 },
        "layer_decomposition": False
    },
    "async": False,
    "retries": 0
}
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: 'gpt-image-1',
    prompt: '画一只可爱的小猫',
    negative_prompt: '<string>',
    image: '<string>',
    strength: 0.5,
    size: '1024x1024',
    aspect_ratio: '1:1',
    n: 1,
    quality: 'medium',
    style_preset: '3d-model',
    response_format: 'url',
    output_format: 'png',
    mask: '<string>',
    watermark: false,
    background: 'auto',
    extra_body: {
      sequential_image_generation: 'disabled',
      sequential_image_generation_options: {max_images: 15},
      layer_decomposition: false
    },
    async: false,
    retries: 0
  })
};

fetch('https://geekai.co/api/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://geekai.co/api/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' => 'gpt-image-1',
    'prompt' => '画一只可爱的小猫',
    'negative_prompt' => '<string>',
    'image' => '<string>',
    'strength' => 0.5,
    'size' => '1024x1024',
    'aspect_ratio' => '1:1',
    'n' => 1,
    'quality' => 'medium',
    'style_preset' => '3d-model',
    'response_format' => 'url',
    'output_format' => 'png',
    'mask' => '<string>',
    'watermark' => false,
    'background' => 'auto',
    'extra_body' => [
        'sequential_image_generation' => 'disabled',
        'sequential_image_generation_options' => [
                'max_images' => 15
        ],
        'layer_decomposition' => false
    ],
    'async' => false,
    'retries' => 0
  ]),
  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://geekai.co/api/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"gpt-image-1\",\n  \"prompt\": \"画一只可爱的小猫\",\n  \"negative_prompt\": \"<string>\",\n  \"image\": \"<string>\",\n  \"strength\": 0.5,\n  \"size\": \"1024x1024\",\n  \"aspect_ratio\": \"1:1\",\n  \"n\": 1,\n  \"quality\": \"medium\",\n  \"style_preset\": \"3d-model\",\n  \"response_format\": \"url\",\n  \"output_format\": \"png\",\n  \"mask\": \"<string>\",\n  \"watermark\": false,\n  \"background\": \"auto\",\n  \"extra_body\": {\n    \"sequential_image_generation\": \"disabled\",\n    \"sequential_image_generation_options\": {\n      \"max_images\": 15\n    },\n    \"layer_decomposition\": false\n  },\n  \"async\": false,\n  \"retries\": 0\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://geekai.co/api/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-image-1\",\n  \"prompt\": \"画一只可爱的小猫\",\n  \"negative_prompt\": \"<string>\",\n  \"image\": \"<string>\",\n  \"strength\": 0.5,\n  \"size\": \"1024x1024\",\n  \"aspect_ratio\": \"1:1\",\n  \"n\": 1,\n  \"quality\": \"medium\",\n  \"style_preset\": \"3d-model\",\n  \"response_format\": \"url\",\n  \"output_format\": \"png\",\n  \"mask\": \"<string>\",\n  \"watermark\": false,\n  \"background\": \"auto\",\n  \"extra_body\": {\n    \"sequential_image_generation\": \"disabled\",\n    \"sequential_image_generation_options\": {\n      \"max_images\": 15\n    },\n    \"layer_decomposition\": false\n  },\n  \"async\": false,\n  \"retries\": 0\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://geekai.co/api/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\": \"gpt-image-1\",\n  \"prompt\": \"画一只可爱的小猫\",\n  \"negative_prompt\": \"<string>\",\n  \"image\": \"<string>\",\n  \"strength\": 0.5,\n  \"size\": \"1024x1024\",\n  \"aspect_ratio\": \"1:1\",\n  \"n\": 1,\n  \"quality\": \"medium\",\n  \"style_preset\": \"3d-model\",\n  \"response_format\": \"url\",\n  \"output_format\": \"png\",\n  \"mask\": \"<string>\",\n  \"watermark\": false,\n  \"background\": \"auto\",\n  \"extra_body\": {\n    \"sequential_image_generation\": \"disabled\",\n    \"sequential_image_generation_options\": {\n      \"max_images\": 15\n    },\n    \"layer_decomposition\": false\n  },\n  \"async\": false,\n  \"retries\": 0\n}"

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

{
  "created": 123,
  "data": [
    {
      "url": "<string>",
      "b64_json": "aSDinaTvuI8gbWludGxpZnk=",
      "revised_prompt": "<string>"
    }
  ],
  "task_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "task_status": "running"
}

{
  "code": "validation_error",
  "message": "参数验证失败",
  "details": {
    "field": "错误描述"
  }
}

{
  "code": "unauthorized",
  "message": "Invalid API key or token"
}

{
  "code": "invalid_request",
  "message": "请求参数不合法"
}

{
  "code": "invalid_request",
  "message": "请求参数不合法"
}