Flux-Kontext-Pro - Submit Task

POST

flux

flux-kontext-pro

flux-kontext-pro (submit task)

curl --request POST \
  --url https://api.example.com/flux/v1/flux-kontext-pro

import requests

url = "https://api.example.com/flux/v1/flux-kontext-pro"

response = requests.post(url)

print(response.text)

const options = {method: 'POST'};

fetch('https://api.example.com/flux/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.example.com/flux/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",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.example.com/flux/v1/flux-kontext-pro"

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

	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.example.com/flux/v1/flux-kontext-pro")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Post.new(url)

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

Flux’s official format for the submit task API.

curl --location --request POST 'https://gptproto.com/flux/v1/flux-kontext-pro' \
--header 'Authorization: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
  "prompt": "ein fantastisches bild",
  "input_image": "base64_encoded_image",
  "input_image_2": "base64_encoded_image",
  "input_image_3": "base64_encoded_image",
  "input_image_4": "base64_encoded_image",
  "seed": 42,
  "aspect_ratio": "21:9",
  "output_format": "jpeg",
  "webhook_url": "https://your-webhook-url.com",
  "webhook_secret": "your_secret",
  "prompt_upsampling": false,
  "safety_tolerance": 2
}'

import requests
import json

url = "https://gptproto.com/flux/v1/flux-kontext-pro"
headers = {
    "Authorization": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

data = {
    "prompt": "ein fantastisches bild",
    "input_image": "base64_encoded_image",
    "input_image_2": "base64_encoded_image",
    "input_image_3": "base64_encoded_image",
    "input_image_4": "base64_encoded_image",
    "seed": 42,
    "aspect_ratio": "21:9",
    "output_format": "jpeg",
    "webhook_url": "https://your-webhook-url.com",
    "webhook_secret": "your_secret",
    "prompt_upsampling": False,
    "safety_tolerance": 2
}

response = requests.post(url, headers=headers, json=data)
result = response.json()
print(json.dumps(result, indent=2))

const url = "https://gptproto.com/flux/v1/flux-kontext-pro";
const headers = {
  "Authorization": "YOUR_API_KEY",
  "Content-Type": "application/json"
};

const data = {
  prompt: "ein fantastisches bild",
  input_image: "base64_encoded_image",
  input_image_2: "base64_encoded_image",
  input_image_3: "base64_encoded_image",
  input_image_4: "base64_encoded_image",
  seed: 42,
  aspect_ratio: "21:9",
  output_format: "jpeg",
  webhook_url: "https://your-webhook-url.com",
  webhook_secret: "your_secret",
  prompt_upsampling: false,
  safety_tolerance: 2
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(data)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://gptproto.com/flux/v1/flux-kontext-pro"

    payload := []byte(`{
  "prompt": "ein fantastisches bild",
  "input_image": "base64_encoded_image",
  "input_image_2": "base64_encoded_image",
  "input_image_3": "base64_encoded_image",
  "input_image_4": "base64_encoded_image",
  "seed": 42,
  "aspect_ratio": "21:9",
  "output_format": "jpeg",
  "webhook_url": "https://your-webhook-url.com",
  "webhook_secret": "your_secret",
  "prompt_upsampling": false,
  "safety_tolerance": 2
}`)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
    req.Header.Set("Authorization", "YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

{
  "error": {
    "message": "Invalid signature",
    "type": "401"
  }
}

{
  "error": {
    "message": "Insufficient balance",
    "type": "403"
  }
}

{
  "error": {
    "message": "Internal server error",
    "type": "500"
  }
}

{
  "error": {
    "message": "Input may not meet the guidelines. Please adjust and try again.",
    "type": "503"
  }
}

Request Body

Parameter	Type	Required	Default	Description
`prompt`	string	✅ Yes	-	The text prompt describing the image to generate
`input_image`	string	✅ Yes	-	Base64 encoded input image (first image)
`input_image_2`	string	❌ No	-	Base64 encoded input image (second image)
`input_image_3`	string	❌ No	-	Base64 encoded input image (third image)
`input_image_4`	string	❌ No	-	Base64 encoded input image (fourth image)
`seed`	integer	❌ No	-	Random seed for reproducible generation
`aspect_ratio`	string	❌ No	`16:9`	Aspect ratio of the generated image. Options: `16:9`, `9:16`, `1:1`, `4:3`, `3:4`, `21:9`
`output_format`	string	❌ No	`jpeg`	Output image format. Options: `jpeg`, `png`, `webp`
`webhook_url`	string	❌ No	-	URL to receive webhook notifications when the task is completed
`webhook_secret`	string	❌ No	-	Secret key for webhook verification
`prompt_upsampling`	boolean	❌ No	`false`	Whether to enhance the prompt automatically
`safety_tolerance`	integer	❌ No	`2`	Safety tolerance level for content filtering. Range: `0-6` (0 = strict, 6 = permissive)

Flux-Kontext-Pro - Query Task

Flux-Kontext-Pro - Text To Image - openai

​Request Body

Request Body