curl --request POST \
  --url https://api.bfl.ai/v1/flux-tools/outpainting-v1 \
  --header 'Content-Type: application/json' \
  --header 'x-key: <api-key>' \
  --data '
{
  "input_image": "<string>",
  "width": 65,
  "height": 65,
  "auto_crop": false,
  "safety_tolerance": 2,
  "output_format": "png",
  "prompt": "<string>",
  "reference_offset_x": 123,
  "reference_offset_y": 123,
  "mode": "high"
}
'

import requests

url = "https://api.bfl.ai/v1/flux-tools/outpainting-v1"

payload = {
    "input_image": "<string>",
    "width": 65,
    "height": 65,
    "auto_crop": False,
    "safety_tolerance": 2,
    "output_format": "png",
    "prompt": "<string>",
    "reference_offset_x": 123,
    "reference_offset_y": 123,
    "mode": "high"
}
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({
    input_image: '<string>',
    width: 65,
    height: 65,
    auto_crop: false,
    safety_tolerance: 2,
    output_format: 'png',
    prompt: '<string>',
    reference_offset_x: 123,
    reference_offset_y: 123,
    mode: 'high'
  })
};

fetch('https://api.bfl.ai/v1/flux-tools/outpainting-v1', 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-tools/outpainting-v1",
  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([
    'input_image' => '<string>',
    'width' => 65,
    'height' => 65,
    'auto_crop' => false,
    'safety_tolerance' => 2,
    'output_format' => 'png',
    'prompt' => '<string>',
    'reference_offset_x' => 123,
    'reference_offset_y' => 123,
    'mode' => 'high'
  ]),
  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-tools/outpainting-v1"

	payload := strings.NewReader("{\n  \"input_image\": \"<string>\",\n  \"width\": 65,\n  \"height\": 65,\n  \"auto_crop\": false,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"png\",\n  \"prompt\": \"<string>\",\n  \"reference_offset_x\": 123,\n  \"reference_offset_y\": 123,\n  \"mode\": \"high\"\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-tools/outpainting-v1")
  .header("x-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"input_image\": \"<string>\",\n  \"width\": 65,\n  \"height\": 65,\n  \"auto_crop\": false,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"png\",\n  \"prompt\": \"<string>\",\n  \"reference_offset_x\": 123,\n  \"reference_offset_y\": 123,\n  \"mode\": \"high\"\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"input_image\": \"<string>\",\n  \"width\": 65,\n  \"height\": 65,\n  \"auto_crop\": false,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"png\",\n  \"prompt\": \"<string>\",\n  \"reference_offset_x\": 123,\n  \"reference_offset_y\": 123,\n  \"mode\": \"high\"\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>"
    }
  ]
}