curl --request POST \
--url https://api.ttapi.io/bfl/v1/flux-kontext-pro \
--header 'Content-Type: application/json' \
--header 'TT-API-KEY: <api-key>' \
--data '
{
"prompt": "<string>",
"input_image": "<string>",
"input_image_2": "<string>",
"input_image_3": "<string>",
"input_image_4": "<string>",
"aspect_ratio": "21:9",
"seed": "<string>",
"output_format": "jpeg",
"prompt_upsampling": "false",
"safety_tolerance": "2",
"webhook_url": "<string>"
}
'import requests
url = "https://api.ttapi.io/bfl/v1/flux-kontext-pro"
payload = {
"prompt": "<string>",
"input_image": "<string>",
"input_image_2": "<string>",
"input_image_3": "<string>",
"input_image_4": "<string>",
"aspect_ratio": "21:9",
"seed": "<string>",
"output_format": "jpeg",
"prompt_upsampling": "false",
"safety_tolerance": "2",
"webhook_url": "<string>"
}
headers = {
"TT-API-KEY": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'TT-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
input_image: '<string>',
input_image_2: '<string>',
input_image_3: '<string>',
input_image_4: '<string>',
aspect_ratio: '21:9',
seed: '<string>',
output_format: 'jpeg',
prompt_upsampling: 'false',
safety_tolerance: '2',
webhook_url: '<string>'
})
};
fetch('https://api.ttapi.io/bfl/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.ttapi.io/bfl/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' => '<string>',
'input_image' => '<string>',
'input_image_2' => '<string>',
'input_image_3' => '<string>',
'input_image_4' => '<string>',
'aspect_ratio' => '21:9',
'seed' => '<string>',
'output_format' => 'jpeg',
'prompt_upsampling' => 'false',
'safety_tolerance' => '2',
'webhook_url' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"TT-API-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.ttapi.io/bfl/v1/flux-kontext-pro"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"input_image\": \"<string>\",\n \"input_image_2\": \"<string>\",\n \"input_image_3\": \"<string>\",\n \"input_image_4\": \"<string>\",\n \"aspect_ratio\": \"21:9\",\n \"seed\": \"<string>\",\n \"output_format\": \"jpeg\",\n \"prompt_upsampling\": \"false\",\n \"safety_tolerance\": \"2\",\n \"webhook_url\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("TT-API-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.ttapi.io/bfl/v1/flux-kontext-pro")
.header("TT-API-KEY", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"input_image\": \"<string>\",\n \"input_image_2\": \"<string>\",\n \"input_image_3\": \"<string>\",\n \"input_image_4\": \"<string>\",\n \"aspect_ratio\": \"21:9\",\n \"seed\": \"<string>\",\n \"output_format\": \"jpeg\",\n \"prompt_upsampling\": \"false\",\n \"safety_tolerance\": \"2\",\n \"webhook_url\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.ttapi.io/bfl/v1/flux-kontext-pro")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["TT-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"input_image\": \"<string>\",\n \"input_image_2\": \"<string>\",\n \"input_image_3\": \"<string>\",\n \"input_image_4\": \"<string>\",\n \"aspect_ratio\": \"21:9\",\n \"seed\": \"<string>\",\n \"output_format\": \"jpeg\",\n \"prompt_upsampling\": \"false\",\n \"safety_tolerance\": \"2\",\n \"webhook_url\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"status": "SUCCESS",
"message": "success",
"data": {
"jobId": "jobId"
}
}{
"status": "FAILED",
"message": "\"prompt\" cannot be empty.",
"data": {}
}{
"status": "FAILED",
"message": "Wrong TT-API-KEY or email is not activated."
}Модель Flux.1 Kontext [pro]
Интегрируйте Flux.1 Kontext[pro] API для продвинутой контекстно-зависимой генерации изображений в контролируемых профессиональных визуальных сценариях.
curl --request POST \
--url https://api.ttapi.io/bfl/v1/flux-kontext-pro \
--header 'Content-Type: application/json' \
--header 'TT-API-KEY: <api-key>' \
--data '
{
"prompt": "<string>",
"input_image": "<string>",
"input_image_2": "<string>",
"input_image_3": "<string>",
"input_image_4": "<string>",
"aspect_ratio": "21:9",
"seed": "<string>",
"output_format": "jpeg",
"prompt_upsampling": "false",
"safety_tolerance": "2",
"webhook_url": "<string>"
}
'import requests
url = "https://api.ttapi.io/bfl/v1/flux-kontext-pro"
payload = {
"prompt": "<string>",
"input_image": "<string>",
"input_image_2": "<string>",
"input_image_3": "<string>",
"input_image_4": "<string>",
"aspect_ratio": "21:9",
"seed": "<string>",
"output_format": "jpeg",
"prompt_upsampling": "false",
"safety_tolerance": "2",
"webhook_url": "<string>"
}
headers = {
"TT-API-KEY": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'TT-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
input_image: '<string>',
input_image_2: '<string>',
input_image_3: '<string>',
input_image_4: '<string>',
aspect_ratio: '21:9',
seed: '<string>',
output_format: 'jpeg',
prompt_upsampling: 'false',
safety_tolerance: '2',
webhook_url: '<string>'
})
};
fetch('https://api.ttapi.io/bfl/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.ttapi.io/bfl/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' => '<string>',
'input_image' => '<string>',
'input_image_2' => '<string>',
'input_image_3' => '<string>',
'input_image_4' => '<string>',
'aspect_ratio' => '21:9',
'seed' => '<string>',
'output_format' => 'jpeg',
'prompt_upsampling' => 'false',
'safety_tolerance' => '2',
'webhook_url' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"TT-API-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.ttapi.io/bfl/v1/flux-kontext-pro"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"input_image\": \"<string>\",\n \"input_image_2\": \"<string>\",\n \"input_image_3\": \"<string>\",\n \"input_image_4\": \"<string>\",\n \"aspect_ratio\": \"21:9\",\n \"seed\": \"<string>\",\n \"output_format\": \"jpeg\",\n \"prompt_upsampling\": \"false\",\n \"safety_tolerance\": \"2\",\n \"webhook_url\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("TT-API-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.ttapi.io/bfl/v1/flux-kontext-pro")
.header("TT-API-KEY", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"input_image\": \"<string>\",\n \"input_image_2\": \"<string>\",\n \"input_image_3\": \"<string>\",\n \"input_image_4\": \"<string>\",\n \"aspect_ratio\": \"21:9\",\n \"seed\": \"<string>\",\n \"output_format\": \"jpeg\",\n \"prompt_upsampling\": \"false\",\n \"safety_tolerance\": \"2\",\n \"webhook_url\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.ttapi.io/bfl/v1/flux-kontext-pro")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["TT-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"input_image\": \"<string>\",\n \"input_image_2\": \"<string>\",\n \"input_image_3\": \"<string>\",\n \"input_image_4\": \"<string>\",\n \"aspect_ratio\": \"21:9\",\n \"seed\": \"<string>\",\n \"output_format\": \"jpeg\",\n \"prompt_upsampling\": \"false\",\n \"safety_tolerance\": \"2\",\n \"webhook_url\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"status": "SUCCESS",
"message": "success",
"data": {
"jobId": "jobId"
}
}{
"status": "FAILED",
"message": "\"prompt\" cannot be empty.",
"data": {}
}{
"status": "FAILED",
"message": "Wrong TT-API-KEY or email is not activated."
}Авторизации
Вы можете получить API-ключ в панель управления TTAPI.
Тело
Создавайте или редактируйте изображения с помощью модели Flux Kontext Max на основе текстовых подсказок. Официальная документация
Описание изображения. Примечание. Flux поддерживает многоязычное понимание, но при тестировании лучше всего подходит английский.
Референс-изображение 1, URL или base64
Референс-изображение 2, URL или base64
Референс-изображение 3, URL или base64
Референс-изображение 4, URL или base64
Соотношение сторон
21:9, 9:21 "21:9"
Случайный исходное значение
Формат вывода
jpeg, png "jpeg"
Включить улучшение промпта. true - да, false - нет
false, true "false"
Уровень допуска безопасности для регулировки входа и выхода. Диапазон: 0-6, где 0 — самый строгий, а 6 — самый разрешающий. По умолчанию: 2
"2"
URL асинхронного обратный вызов