Generate or edit an image with FLUX.2 [flex]

curl --request POST \
  --url https://api.bfl.ai/v1/flux-2-flex \
  --header 'Content-Type: application/json' \
  --header 'x-key: <api-key>' \
  --data '
{
  "prompt": "ein fantastisches bild",
  "prompt_upsampling": true,
  "input_image": "<string>",
  "input_image_2": "<string>",
  "input_image_3": "<string>",
  "input_image_4": "<string>",
  "input_image_5": "<string>",
  "input_image_6": "<string>",
  "input_image_7": "<string>",
  "input_image_8": "<string>",
  "input_image_blob_path": "<string>",
  "seed": 42,
  "width": 0,
  "height": 0,
  "guidance": 5,
  "steps": 50,
  "safety_tolerance": 2,
  "output_format": "jpeg",
  "webhook_url": "<string>",
  "webhook_secret": "<string>"
}
'

import requests

url = "https://api.bfl.ai/v1/flux-2-flex"

payload = {
    "prompt": "ein fantastisches bild",
    "prompt_upsampling": True,
    "input_image": "<string>",
    "input_image_2": "<string>",
    "input_image_3": "<string>",
    "input_image_4": "<string>",
    "input_image_5": "<string>",
    "input_image_6": "<string>",
    "input_image_7": "<string>",
    "input_image_8": "<string>",
    "input_image_blob_path": "<string>",
    "seed": 42,
    "width": 0,
    "height": 0,
    "guidance": 5,
    "steps": 50,
    "safety_tolerance": 2,
    "output_format": "jpeg",
    "webhook_url": "<string>",
    "webhook_secret": "<string>"
}
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',
    prompt_upsampling: true,
    input_image: '<string>',
    input_image_2: '<string>',
    input_image_3: '<string>',
    input_image_4: '<string>',
    input_image_5: '<string>',
    input_image_6: '<string>',
    input_image_7: '<string>',
    input_image_8: '<string>',
    input_image_blob_path: '<string>',
    seed: 42,
    width: 0,
    height: 0,
    guidance: 5,
    steps: 50,
    safety_tolerance: 2,
    output_format: 'jpeg',
    webhook_url: '<string>',
    webhook_secret: '<string>'
  })
};

fetch('https://api.bfl.ai/v1/flux-2-flex', 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-2-flex",
  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',
    'prompt_upsampling' => true,
    'input_image' => '<string>',
    'input_image_2' => '<string>',
    'input_image_3' => '<string>',
    'input_image_4' => '<string>',
    'input_image_5' => '<string>',
    'input_image_6' => '<string>',
    'input_image_7' => '<string>',
    'input_image_8' => '<string>',
    'input_image_blob_path' => '<string>',
    'seed' => 42,
    'width' => 0,
    'height' => 0,
    'guidance' => 5,
    'steps' => 50,
    'safety_tolerance' => 2,
    'output_format' => 'jpeg',
    'webhook_url' => '<string>',
    'webhook_secret' => '<string>'
  ]),
  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-2-flex"

	payload := strings.NewReader("{\n  \"prompt\": \"ein fantastisches bild\",\n  \"prompt_upsampling\": true,\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"input_image_5\": \"<string>\",\n  \"input_image_6\": \"<string>\",\n  \"input_image_7\": \"<string>\",\n  \"input_image_8\": \"<string>\",\n  \"input_image_blob_path\": \"<string>\",\n  \"seed\": 42,\n  \"width\": 0,\n  \"height\": 0,\n  \"guidance\": 5,\n  \"steps\": 50,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"jpeg\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\"\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-2-flex")
  .header("x-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"ein fantastisches bild\",\n  \"prompt_upsampling\": true,\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"input_image_5\": \"<string>\",\n  \"input_image_6\": \"<string>\",\n  \"input_image_7\": \"<string>\",\n  \"input_image_8\": \"<string>\",\n  \"input_image_blob_path\": \"<string>\",\n  \"seed\": 42,\n  \"width\": 0,\n  \"height\": 0,\n  \"guidance\": 5,\n  \"steps\": 50,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"jpeg\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bfl.ai/v1/flux-2-flex")

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  \"prompt_upsampling\": true,\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"input_image_5\": \"<string>\",\n  \"input_image_6\": \"<string>\",\n  \"input_image_7\": \"<string>\",\n  \"input_image_8\": \"<string>\",\n  \"input_image_blob_path\": \"<string>\",\n  \"seed\": 42,\n  \"width\": 0,\n  \"height\": 0,\n  \"guidance\": 5,\n  \"steps\": 50,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"jpeg\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\"\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>"
    }
  ]
}

POST

flux-2-flex

Generate or edit an image with FLUX.2 [flex]

curl --request POST \
  --url https://api.bfl.ai/v1/flux-2-flex \
  --header 'Content-Type: application/json' \
  --header 'x-key: <api-key>' \
  --data '
{
  "prompt": "ein fantastisches bild",
  "prompt_upsampling": true,
  "input_image": "<string>",
  "input_image_2": "<string>",
  "input_image_3": "<string>",
  "input_image_4": "<string>",
  "input_image_5": "<string>",
  "input_image_6": "<string>",
  "input_image_7": "<string>",
  "input_image_8": "<string>",
  "input_image_blob_path": "<string>",
  "seed": 42,
  "width": 0,
  "height": 0,
  "guidance": 5,
  "steps": 50,
  "safety_tolerance": 2,
  "output_format": "jpeg",
  "webhook_url": "<string>",
  "webhook_secret": "<string>"
}
'

import requests

url = "https://api.bfl.ai/v1/flux-2-flex"

payload = {
    "prompt": "ein fantastisches bild",
    "prompt_upsampling": True,
    "input_image": "<string>",
    "input_image_2": "<string>",
    "input_image_3": "<string>",
    "input_image_4": "<string>",
    "input_image_5": "<string>",
    "input_image_6": "<string>",
    "input_image_7": "<string>",
    "input_image_8": "<string>",
    "input_image_blob_path": "<string>",
    "seed": 42,
    "width": 0,
    "height": 0,
    "guidance": 5,
    "steps": 50,
    "safety_tolerance": 2,
    "output_format": "jpeg",
    "webhook_url": "<string>",
    "webhook_secret": "<string>"
}
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',
    prompt_upsampling: true,
    input_image: '<string>',
    input_image_2: '<string>',
    input_image_3: '<string>',
    input_image_4: '<string>',
    input_image_5: '<string>',
    input_image_6: '<string>',
    input_image_7: '<string>',
    input_image_8: '<string>',
    input_image_blob_path: '<string>',
    seed: 42,
    width: 0,
    height: 0,
    guidance: 5,
    steps: 50,
    safety_tolerance: 2,
    output_format: 'jpeg',
    webhook_url: '<string>',
    webhook_secret: '<string>'
  })
};

fetch('https://api.bfl.ai/v1/flux-2-flex', 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-2-flex",
  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',
    'prompt_upsampling' => true,
    'input_image' => '<string>',
    'input_image_2' => '<string>',
    'input_image_3' => '<string>',
    'input_image_4' => '<string>',
    'input_image_5' => '<string>',
    'input_image_6' => '<string>',
    'input_image_7' => '<string>',
    'input_image_8' => '<string>',
    'input_image_blob_path' => '<string>',
    'seed' => 42,
    'width' => 0,
    'height' => 0,
    'guidance' => 5,
    'steps' => 50,
    'safety_tolerance' => 2,
    'output_format' => 'jpeg',
    'webhook_url' => '<string>',
    'webhook_secret' => '<string>'
  ]),
  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-2-flex"

	payload := strings.NewReader("{\n  \"prompt\": \"ein fantastisches bild\",\n  \"prompt_upsampling\": true,\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"input_image_5\": \"<string>\",\n  \"input_image_6\": \"<string>\",\n  \"input_image_7\": \"<string>\",\n  \"input_image_8\": \"<string>\",\n  \"input_image_blob_path\": \"<string>\",\n  \"seed\": 42,\n  \"width\": 0,\n  \"height\": 0,\n  \"guidance\": 5,\n  \"steps\": 50,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"jpeg\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\"\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-2-flex")
  .header("x-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"ein fantastisches bild\",\n  \"prompt_upsampling\": true,\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"input_image_5\": \"<string>\",\n  \"input_image_6\": \"<string>\",\n  \"input_image_7\": \"<string>\",\n  \"input_image_8\": \"<string>\",\n  \"input_image_blob_path\": \"<string>\",\n  \"seed\": 42,\n  \"width\": 0,\n  \"height\": 0,\n  \"guidance\": 5,\n  \"steps\": 50,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"jpeg\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bfl.ai/v1/flux-2-flex")

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  \"prompt_upsampling\": true,\n  \"input_image\": \"<string>\",\n  \"input_image_2\": \"<string>\",\n  \"input_image_3\": \"<string>\",\n  \"input_image_4\": \"<string>\",\n  \"input_image_5\": \"<string>\",\n  \"input_image_6\": \"<string>\",\n  \"input_image_7\": \"<string>\",\n  \"input_image_8\": \"<string>\",\n  \"input_image_blob_path\": \"<string>\",\n  \"seed\": 42,\n  \"width\": 0,\n  \"height\": 0,\n  \"guidance\": 5,\n  \"steps\": 50,\n  \"safety_tolerance\": 2,\n  \"output_format\": \"jpeg\",\n  \"webhook_url\": \"<string>\",\n  \"webhook_secret\": \"<string>\"\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>"
    }
  ]
}

Best for text and typography in the image. For most use cases, start with FLUX.2 [pro]. See which model to use.

Authorizations

x-key

string

header

required

Body

application/json

prompt

string

required

Text prompt for image generation.

Example:

"ein fantastisches bild"

prompt_upsampling

boolean | null

default:true

Whether to use prompt upsampling.

input_image

string | null

Path to the input image.

input_image_2

string | null

Path to the second input image.

input_image_3

string | null

Path to the third input image.

input_image_4

string | null

Path to the fourth input image.

input_image_5

string | null

Path to the fifth input image.

input_image_6

string | null

Path to the sixth input image.

input_image_7

string | null

Path to the seventh input image.

input_image_8

string | null

Path to the eighth input image.

input_image_blob_path

string | null

Blob path to the input image.

seed

integer | null

Optional seed for reproducibility.

Example:

42

width

integer | null

default:0

Width of the image

Required range: x >= 64

height

integer | null

default:0

Height of the image

Required range: x >= 64

guidance

number | null

default:5

Guidance scale for image generation. High guidance scales improve prompt adherence at the cost of reduced realism.

Required range: 1.5 <= x <= 10

Example:

5

steps

integer | null

default:50

Number of steps for image generation. Higher steps lead to more detailed and realistic images.

Required range: 1 <= x <= 50

Example:

50

safety_tolerance

integer

default:2

Tolerance level for input and output moderation. Between 0 and 5, 0 being most strict, 5 being least strict. If you wish to increase the safety_tolerance beyond these levels please reach out to the team.

Required range: 0 <= x <= 5

output_format

enum<string> | null

default:jpeg

Available options:

jpeg,

png,

webp

webhook_url

string<uri> | null

URL to receive webhook notifications

Required string length: 1 - 2083

webhook_secret

string | null

Optional secret for webhook signature verification

Response

Successful Response

AsyncResponse
AsyncWebhookResponse

string

required

polling_url

string

required

cost

number | null

Cost in credits for this request

input_mp

number | null

Input megapixels (2 decimal places)

output_mp

number | null

Output megapixels (2 decimal places)

Generate or edit an image with FLUX.2 [pro] (preview)

Generate or edit an image with FLUX.2 [klein] 9B (preview)