Flux 2 Flex 文生图
curl --request POST \
--url https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "A humanoid figure with a vintage television set for a head",
"aspect_ratio": "auto",
"resolution": "1K"
}
'import requests
url = "https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image"
payload = {
"prompt": "A humanoid figure with a vintage television set for a head",
"aspect_ratio": "auto",
"resolution": "1K"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'A humanoid figure with a vintage television set for a head',
aspect_ratio: 'auto',
resolution: '1K'
})
};
fetch('https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image', 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.sinancode.com/v1/generate/k/flux2-flex-text-to-image",
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' => 'A humanoid figure with a vintage television set for a head',
'aspect_ratio' => 'auto',
'resolution' => '1K'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.sinancode.com/v1/generate/k/flux2-flex-text-to-image"
payload := strings.NewReader("{\n \"prompt\": \"A humanoid figure with a vintage television set for a head\",\n \"aspect_ratio\": \"auto\",\n \"resolution\": \"1K\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.sinancode.com/v1/generate/k/flux2-flex-text-to-image")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"A humanoid figure with a vintage television set for a head\",\n \"aspect_ratio\": \"auto\",\n \"resolution\": \"1K\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"A humanoid figure with a vintage television set for a head\",\n \"aspect_ratio\": \"auto\",\n \"resolution\": \"1K\"\n}"
response = http.request(request)
puts response.read_body{
"task_id": "01234567-89ab-cdef-0123-456789abcdef"
}{
"error_code": "<string>",
"message": "<string>"
}{
"error_code": "<string>",
"message": "<string>"
}{
"error_code": "<string>",
"message": "<string>"
}图片生成 - Flux2
Flux 2 Flex 文生图
使用 Flux 2 Flex 模型生成图片(异步)
POST
/
generate
/
k
/
flux2-flex-text-to-image
Flux 2 Flex 文生图
curl --request POST \
--url https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "A humanoid figure with a vintage television set for a head",
"aspect_ratio": "auto",
"resolution": "1K"
}
'import requests
url = "https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image"
payload = {
"prompt": "A humanoid figure with a vintage television set for a head",
"aspect_ratio": "auto",
"resolution": "1K"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: 'A humanoid figure with a vintage television set for a head',
aspect_ratio: 'auto',
resolution: '1K'
})
};
fetch('https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image', 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.sinancode.com/v1/generate/k/flux2-flex-text-to-image",
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' => 'A humanoid figure with a vintage television set for a head',
'aspect_ratio' => 'auto',
'resolution' => '1K'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.sinancode.com/v1/generate/k/flux2-flex-text-to-image"
payload := strings.NewReader("{\n \"prompt\": \"A humanoid figure with a vintage television set for a head\",\n \"aspect_ratio\": \"auto\",\n \"resolution\": \"1K\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.sinancode.com/v1/generate/k/flux2-flex-text-to-image")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"A humanoid figure with a vintage television set for a head\",\n \"aspect_ratio\": \"auto\",\n \"resolution\": \"1K\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.sinancode.com/v1/generate/k/flux2-flex-text-to-image")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"A humanoid figure with a vintage television set for a head\",\n \"aspect_ratio\": \"auto\",\n \"resolution\": \"1K\"\n}"
response = http.request(request)
puts response.read_body{
"task_id": "01234567-89ab-cdef-0123-456789abcdef"
}{
"error_code": "<string>",
"message": "<string>"
}{
"error_code": "<string>",
"message": "<string>"
}{
"error_code": "<string>",
"message": "<string>"
}使用 Black Forest Labs 的 FLUX.2 Flex 模型从文本生成高质量图片。
模型特点:
- 可调节质量-速度平衡 - 通过 steps 参数控制生成步数,灵活权衡质量与速度
- 卓越的文字渲染 - 业界领先的文字生成能力,适合海报、产品图等场景
- 多参考图融合 - 支持最多 10 张参考图融合,保持风格一致性
- 高分辨率输出 - 最高支持 4MP 分辨率
授权
请使用您的 API Token 进行认证
请求体
application/json
Task parameters
响应
OK
Task ID
示例:
"01234567-89ab-cdef-0123-456789abcdef"
⌘I