FLUX.1 Kontext Dev
curl --request POST \
--url https://api.myrouter.ai/v3/async/flux-1-kontext-dev \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>' \
--data '
{
"prompt": "<string>",
"images": [
"<string>"
],
"fast_mode": true,
"size": "<string>",
"num_inference_steps": 123,
"guidance_scale": 123,
"num_images": 123,
"seed": 123,
"output_format": "<string>"
}
'import requests
url = "https://api.myrouter.ai/v3/async/flux-1-kontext-dev"
payload = {
"prompt": "<string>",
"images": ["<string>"],
"fast_mode": True,
"size": "<string>",
"num_inference_steps": 123,
"guidance_scale": 123,
"num_images": 123,
"seed": 123,
"output_format": "<string>"
}
headers = {
"Content-Type": "<content-type>",
"Authorization": "<authorization>"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'},
body: JSON.stringify({
prompt: '<string>',
images: ['<string>'],
fast_mode: true,
size: '<string>',
num_inference_steps: 123,
guidance_scale: 123,
num_images: 123,
seed: 123,
output_format: '<string>'
})
};
fetch('https://api.myrouter.ai/v3/async/flux-1-kontext-dev', 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.myrouter.ai/v3/async/flux-1-kontext-dev",
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' => '<string>',
'images' => [
'<string>'
],
'fast_mode' => true,
'size' => '<string>',
'num_inference_steps' => 123,
'guidance_scale' => 123,
'num_images' => 123,
'seed' => 123,
'output_format' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($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.myrouter.ai/v3/async/flux-1-kontext-dev"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"images\": [\n \"<string>\"\n ],\n \"fast_mode\": true,\n \"size\": \"<string>\",\n \"num_inference_steps\": 123,\n \"guidance_scale\": 123,\n \"num_images\": 123,\n \"seed\": 123,\n \"output_format\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "<content-type>")
req.Header.Add("Authorization", "<authorization>")
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.myrouter.ai/v3/async/flux-1-kontext-dev")
.header("Content-Type", "<content-type>")
.header("Authorization", "<authorization>")
.body("{\n \"prompt\": \"<string>\",\n \"images\": [\n \"<string>\"\n ],\n \"fast_mode\": true,\n \"size\": \"<string>\",\n \"num_inference_steps\": 123,\n \"guidance_scale\": 123,\n \"num_images\": 123,\n \"seed\": 123,\n \"output_format\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.myrouter.ai/v3/async/flux-1-kontext-dev")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n \"prompt\": \"<string>\",\n \"images\": [\n \"<string>\"\n ],\n \"fast_mode\": true,\n \"size\": \"<string>\",\n \"num_inference_steps\": 123,\n \"guidance_scale\": 123,\n \"num_images\": 123,\n \"seed\": 123,\n \"output_format\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"task_id": "<string>"
}Image
FLUX.1 Kontext Dev
POST
/
v3
/
async
/
flux-1-kontext-dev
FLUX.1 Kontext Dev
curl --request POST \
--url https://api.myrouter.ai/v3/async/flux-1-kontext-dev \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>' \
--data '
{
"prompt": "<string>",
"images": [
"<string>"
],
"fast_mode": true,
"size": "<string>",
"num_inference_steps": 123,
"guidance_scale": 123,
"num_images": 123,
"seed": 123,
"output_format": "<string>"
}
'import requests
url = "https://api.myrouter.ai/v3/async/flux-1-kontext-dev"
payload = {
"prompt": "<string>",
"images": ["<string>"],
"fast_mode": True,
"size": "<string>",
"num_inference_steps": 123,
"guidance_scale": 123,
"num_images": 123,
"seed": 123,
"output_format": "<string>"
}
headers = {
"Content-Type": "<content-type>",
"Authorization": "<authorization>"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'},
body: JSON.stringify({
prompt: '<string>',
images: ['<string>'],
fast_mode: true,
size: '<string>',
num_inference_steps: 123,
guidance_scale: 123,
num_images: 123,
seed: 123,
output_format: '<string>'
})
};
fetch('https://api.myrouter.ai/v3/async/flux-1-kontext-dev', 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.myrouter.ai/v3/async/flux-1-kontext-dev",
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' => '<string>',
'images' => [
'<string>'
],
'fast_mode' => true,
'size' => '<string>',
'num_inference_steps' => 123,
'guidance_scale' => 123,
'num_images' => 123,
'seed' => 123,
'output_format' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($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.myrouter.ai/v3/async/flux-1-kontext-dev"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"images\": [\n \"<string>\"\n ],\n \"fast_mode\": true,\n \"size\": \"<string>\",\n \"num_inference_steps\": 123,\n \"guidance_scale\": 123,\n \"num_images\": 123,\n \"seed\": 123,\n \"output_format\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "<content-type>")
req.Header.Add("Authorization", "<authorization>")
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.myrouter.ai/v3/async/flux-1-kontext-dev")
.header("Content-Type", "<content-type>")
.header("Authorization", "<authorization>")
.body("{\n \"prompt\": \"<string>\",\n \"images\": [\n \"<string>\"\n ],\n \"fast_mode\": true,\n \"size\": \"<string>\",\n \"num_inference_steps\": 123,\n \"guidance_scale\": 123,\n \"num_images\": 123,\n \"seed\": 123,\n \"output_format\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.myrouter.ai/v3/async/flux-1-kontext-dev")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n \"prompt\": \"<string>\",\n \"images\": [\n \"<string>\"\n ],\n \"fast_mode\": true,\n \"size\": \"<string>\",\n \"num_inference_steps\": 123,\n \"guidance_scale\": 123,\n \"num_images\": 123,\n \"seed\": 123,\n \"output_format\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"task_id": "<string>"
}FLUX.1 Kontext Dev is a model that improves prompt adherence and font generation consistency while maintaining efficient speed and suitability for editing tasks.
Request Headers
string
required
Enum:
application/jsonstring
required
Bearer authentication format: Bearer {{API Key}}.
Request Body
string
required
The prompt used for image generation.
string[]
List of images used for image generation. Supports up to 4 images.
boolean
Whether to enable fast mode. When enabled, generation is faster but quality may be reduced and the price is lower.Default:
false.string
Size of the generated media (in pixels, width*height). Each dimension range: [256 ~ 1536].
integer
Number of inference steps. Default: 28. Range: [1 ~ 50].
number
Guidance scale for controlling generation. Default: 2.5. Range: [1.0 ~ 20.0].
integer
Number of images to generate. Default: 1. Range: [1 ~ 4].
integer
Random seed. Default: -1, where -1 means use a random seed. Range: [-1 ~ 2147483647].
string
Format of the output image. Default: jpeg.
Options:
Options:
jpeg, png, webpResponse
string
required
The task_id of the async task. Use the task_id to call the Get Async Task Result API to retrieve the generated result.
⌘I