curl --no-buffer \
  --request POST \
  --url 'https://www.anyfast.ai/v1beta/models/gemini-nano-banana-2.1:streamGenerateContent?key=YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "contents": [{
      "role": "user",
      "parts": [{"text": "Create a green data center illustration."}]
    }],
    "generationConfig": {
      "responseModalities": ["TEXT", "IMAGE"],
      "imageConfig": {"aspectRatio": "16:9", "imageSize": "1K"}
    }
  }'

import requests

url = "https://www.anyfast.ai/v1beta/models/gemini-nano-banana-2.1:streamGenerateContent"

payload = {
    "contents": [
        {
            "parts": [
                {
                    "text": "<string>",
                    "fileData": {}
                }
            ],
            "role": "user"
        }
    ],
    "generationConfig": {
        "responseModalities": ["TEXT", "IMAGE"],
        "imageConfig": {
            "aspectRatio": "16:9",
            "imageSize": "1K"
        },
        "thinkingConfig": {}
    }
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    contents: [{parts: [{text: '<string>', fileData: {}}], role: 'user'}],
    generationConfig: {
      responseModalities: ['TEXT', 'IMAGE'],
      imageConfig: {aspectRatio: '16:9', imageSize: '1K'},
      thinkingConfig: {}
    }
  })
};

fetch('https://www.anyfast.ai/v1beta/models/gemini-nano-banana-2.1:streamGenerateContent', 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/v1beta/models/gemini-nano-banana-2.1:streamGenerateContent",
  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([
    'contents' => [
        [
                'parts' => [
                                [
                                                                'text' => '<string>',
                                                                'fileData' => [
                                                                                                                                
                                                                ]
                                ]
                ],
                'role' => 'user'
        ]
    ],
    'generationConfig' => [
        'responseModalities' => [
                'TEXT',
                'IMAGE'
        ],
        'imageConfig' => [
                'aspectRatio' => '16:9',
                'imageSize' => '1K'
        ],
        'thinkingConfig' => [
                
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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/v1beta/models/gemini-nano-banana-2.1:streamGenerateContent"

	payload := strings.NewReader("{\n  \"contents\": [\n    {\n      \"parts\": [\n        {\n          \"text\": \"<string>\",\n          \"fileData\": {}\n        }\n      ],\n      \"role\": \"user\"\n    }\n  ],\n  \"generationConfig\": {\n    \"responseModalities\": [\n      \"TEXT\",\n      \"IMAGE\"\n    ],\n    \"imageConfig\": {\n      \"aspectRatio\": \"16:9\",\n      \"imageSize\": \"1K\"\n    },\n    \"thinkingConfig\": {}\n  }\n}")

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

	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/v1beta/models/gemini-nano-banana-2.1:streamGenerateContent")
  .header("Content-Type", "application/json")
  .body("{\n  \"contents\": [\n    {\n      \"parts\": [\n        {\n          \"text\": \"<string>\",\n          \"fileData\": {}\n        }\n      ],\n      \"role\": \"user\"\n    }\n  ],\n  \"generationConfig\": {\n    \"responseModalities\": [\n      \"TEXT\",\n      \"IMAGE\"\n    ],\n    \"imageConfig\": {\n      \"aspectRatio\": \"16:9\",\n      \"imageSize\": \"1K\"\n    },\n    \"thinkingConfig\": {}\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.anyfast.ai/v1beta/models/gemini-nano-banana-2.1:streamGenerateContent")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"contents\": [\n    {\n      \"parts\": [\n        {\n          \"text\": \"<string>\",\n          \"fileData\": {}\n        }\n      ],\n      \"role\": \"user\"\n    }\n  ],\n  \"generationConfig\": {\n    \"responseModalities\": [\n      \"TEXT\",\n      \"IMAGE\"\n    ],\n    \"imageConfig\": {\n      \"aspectRatio\": \"16:9\",\n      \"imageSize\": \"1K\"\n    },\n    \"thinkingConfig\": {}\n  }\n}"

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

data: {"candidates":[{"content":{"role":"model","parts":[{"text":"..."}]}}]}

data: {"candidates":[{"content":{"role":"model","parts":[{"inlineData":{"mimeType":"image/png","data":"<base64>"}}]}}]}

data: {"usageMetadata":{"promptTokenCount":24,"candidatesTokenCount":1024,"totalTokenCount":1048}}

{
  "error": {
    "code": 123,
    "message": "<string>",
    "status": "<string>"
  }
}

{
  "error": {
    "code": 123,
    "message": "<string>",
    "status": "<string>"
  }
}

{
  "error": {
    "code": 123,
    "message": "<string>",
    "status": "<string>"
  }
}