/fal-ai/flux-pro/kontext/max
▼
Authorization
在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token
示例：
Authorization: Bearer ********************
官方文档: https://fal.ai/models/fal-ai/flux-pro/kontext/max
请求参数
Header 参数
Authorization
string
必需
示例: Bearer {{YOUR_API_KEY}}
Body 参数 application/json
prompt
string
必需
提示词
image_url
string
可选
图片URL
seed
integer
可选
随机种子
guidance_scale
number
可选
CFG（无分类器引导）量表。默认值：3.5 范围值：1-20
sync_mode
boolean
可选
同步模式
num_images
integer
可选
输出图片数量。默认值：1 范围值：1-4
safety_tolerance
string
可选
安全容差
output_format
string
必需
图片输出格式。可选 jpeg、png
aspect_ratio
string
可选
图片宽高比。默认值："1:1" 支持 21：9、16：9、4：3、3：2、1：1、2：3、3：4、9：16、9：21
示例
{
"prompt": "Put a donut next to the flour.",
"seed": 0,
"guidance_scale": 3.5,
"sync_mode": false,
"num_images": 1,
"safety_tolerance": 2,
"output_format": "jpeg",
"aspect_ratio": "1:1",
"image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
}请求示例代码
curl --location --request POST 'https://api.quickrouter.ai/fal-ai/flux-pro/kontext/max' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{
"prompt": "Put a donut next to the flour.",
"seed": 0,
"guidance_scale": 3.5,
"sync_mode": false,
"num_images": 1,
"safety_tolerance": 2,
"output_format": "jpeg",
"aspect_ratio": "1:1",
"image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
}'var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"prompt": "Put a donut next to the flour.",
"seed": 0,
"guidance_scale": 3.5,
"sync_mode": false,
"num_images": 1,
"safety_tolerance": 2,
"output_format": "jpeg",
"aspect_ratio": "1:1",
"image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.quickrouter.ai/fal-ai/flux-pro/kontext/max", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));import http.client
import json
conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
"prompt": "Put a donut next to the flour.",
"seed": 0,
"guidance_scale": 3.5,
"sync_mode": False,
"num_images": 1,
"safety_tolerance": 2,
"output_format": "jpeg",
"aspect_ratio": "1:1",
"image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
})
headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
}
conn.request("POST", "/fal-ai/flux-pro/kontext/max", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))返回响应
响应参数 application/json
status
string
可选
任务状态
request_id
string
可选
请求ID
response_url
string
可选
获取结果的URL
status_url
string
可选
状态查询URL
cancel_url
string
可选
取消任务URL
logs
null
可选
日志
metrics
object
可选
指标数据
queue_position
integer
可选
队列位置
示例
{
"status": "IN_QUEUE",
"request_id": "e36fc67f-afa7-416a-a288-50d90a630d7a",
"response_url": "https://queue.fal.run/fal-ai/flux-pro/requests/e36fc67f-afa7-416a-a288-50d90a630d7a",
"status_url": "https://queue.fal.run/fal-ai/flux-pro/requests/e36fc67f-afa7-416a-a288-50d90a630d7a/status",
"cancel_url": "https://queue.fal.run/fal-ai/flux-pro/requests/e36fc67f-afa7-416a-a288-50d90a630d7a/cancel",
"logs": null,
"metrics": {},
"queue_position": 0
}