cURL
curl --request POST \
--url https://api.ttapi.io/bfl/v1/flux-kontext-max \
--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-max"
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-max', 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-max",
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-max"
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-max")
.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-max")
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."
}官方格式
Flux.1 Kontext[max] API 文档
通过 Flux.1 Kontext[max] API 进行上下文感知图像生成与编辑,适合复杂提示词、多元素控制和高质量视觉输出。
POST
/
bfl
/
v1
/
flux-kontext-max
cURL
curl --request POST \
--url https://api.ttapi.io/bfl/v1/flux-kontext-max \
--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-max"
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-max', 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-max",
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-max"
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-max")
.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-max")
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."
}请求体
application/json
根据文本提示使用 Flux Kontext Max 模型生成 或者编辑图像。官方文档地址
生成图像描述词。注意:Flux支持多语言理解能力,但实测英文最佳。
参考图像1 url 或 base64
参考图像2 url 或 base64
参考图像3 url 或 base64
参考图像4 url 或 base64
图像比例
可用选项:
21:9, 9:21 示例:
"21:9"
随机种子
输出格式
可用选项:
jpeg, png 示例:
"jpeg"
是否对提示采样true - 是 false - 否
可用选项:
false, true 示例:
"false"
输入和输出调节的容差水平。在0到6之间,0表示最严格,6表示最宽松 默认:2
示例:
"2"
异步回调地址
最后修改于 2026年3月24日
⌘I