curl --request POST \
  --url https://api.bfl.ai/v1/flux-kontext-pro \
  --header 'Content-Type: application/json' \
  --header 'x-key: <api-key>' \
  --data '
{
  "prompt": "ein fantastisches bild",
  "user": "<string>",
  "input_image": "<string>",
  "input_image_2": "<string>",
  "input_image_3": "<string>",
  "input_image_4": "<string>",
  "seed": 42,
  "aspect_ratio": "<string>",
  "output_format": "png",
  "webhook_url": "<string>",
  "webhook_secret": "<string>",
  "prompt_upsampling": false,
  "safety_tolerance": 2
}
'

import requests

url = "https://api.bfl.ai/v1/flux-kontext-pro"

payload = {
    "prompt": "ein fantastisches bild",
    "user": "<string>",
    "input_image": "<string>",
    "input_image_2": "<string>",
    "input_image_3": "<string>",
    "input_image_4": "<string>",
    "seed": 42,
    "aspect_ratio": "<string>",
    "output_format": "png",
    "webhook_url": "<string>",
    "webhook_secret": "<string>",
    "prompt_upsampling": False,
    "safety_tolerance": 2
}
headers = {
    "x-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: 'ein fantastisches bild',
    user: '<string>',
    input_image: '<string>',
    input_image_2: '<string>',
    input_image_3: '<string>',
    input_image_4: '<string>',
    seed: 42,
    aspect_ratio: '<string>',
    output_format: 'png',
    webhook_url: '<string>',
    webhook_secret: '<string>',
    prompt_upsampling: false,
    safety_tolerance: 2
  })
};

fetch('https://api.bfl.ai/v1/flux-kontext-pro', 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.bfl.ai/v1/flux-kontext-pro",
  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([
    'prompt' => 'ein fantastisches bild',
    'user' => '<string>',
    'input_image' => '<string>',
    'input_image_2' => '<string>',
    'input_image_3' => '<string>',
    'input_image_4' => '<string>',
    'seed' => 42,
    'aspect_ratio' => '<string>',
    'output_format' => 'png',
    'webhook_url' => '<string>',
    'webhook_secret' => '<string>',
    'prompt_upsampling' => false,
    'safety_tolerance' => 2
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-key: <api-key>"
  ],
]);

$response = curl_exec($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.bfl.ai/v1/flux-kontext-pro"

	payload := strings.NewReader("{\n  \"prompt\": \"ein fantastisches bild\",\n  \"user\": \"<string>\",\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"seed\": 42,\n  \"aspect_ratio\": \"<string>\",\n  \"output_format\": \"png\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\",\n  \"prompt_upsampling\": false,\n  \"safety_tolerance\": 2\n}")

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

	req.Header.Add("x-key", "<api-key>")
	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.bfl.ai/v1/flux-kontext-pro")
  .header("x-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"ein fantastisches bild\",\n  \"user\": \"<string>\",\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"seed\": 42,\n  \"aspect_ratio\": \"<string>\",\n  \"output_format\": \"png\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\",\n  \"prompt_upsampling\": false,\n  \"safety_tolerance\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bfl.ai/v1/flux-kontext-pro")

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

request = Net::HTTP::Post.new(url)
request["x-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"ein fantastisches bild\",\n  \"user\": \"<string>\",\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"seed\": 42,\n  \"aspect_ratio\": \"<string>\",\n  \"output_format\": \"png\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\",\n  \"prompt_upsampling\": false,\n  \"safety_tolerance\": 2\n}"

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

{
  "id": "<string>",
  "polling_url": "<string>",
  "cost": 123,
  "input_mp": 123,
  "output_mp": 123
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}