Replicate Multi-Kontext Pro 功能
POST
https://api.quickrouter.ai/replicate/v1/models/flux-kontext-apps/multi-image-kontext-pro/predictions
在线调试 →
▼
Authorization
在 Header 添加参数 Authorization,其值为 Bearer 之后拼接 Token
示例:
Authorization: Bearer ********************
请求参数
Header 参数
Authorization
string
可选
示例: Bearer {{YOUR_API_KEY}}
Content-Type
string
可选
示例: application/json
Body 参数 application/json
input
object
可选
模型输入参数
prompt
string
必需
关于如何组合或转换两个输入图像的文本描述。
aspect_ratio
string
可选
生成图像的长宽比。使用"match_input_image"来匹配输入图像的长宽比。默认值:"match_input_image"
input_image_1
string
必需
第一个输入图像。必须是 jpeg、png、gif 或 webp 格式。
input_image_2
string
必需
第二个输入图像。必须是 jpeg、png、gif 或 webp 格式。
output_format
string
可选
生成图像的输出格式。默认值:"png"。
safety_tolerance
integer
可选
安全容差,0 表示最严格,2 表示最宽松。2 是目前允许的最大值。默认值:2
示例
{
"input": {
"prompt": "Put the woman next to the house",
"aspect_ratio": "match_input_image",
"input_image_1": "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
"input_image_2": "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
"output_format": "png",
"safety_tolerance": 2
}
}
请求示例代码
curl --location --request POST 'https://api.quickrouter.ai/replicate/v1/models/flux-kontext-apps/multi-image-kontext-pro/predictions' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{
"input": {
"prompt": "Put the woman next to the house",
"aspect_ratio": "match_input_image",
"input_image_1": "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
"input_image_2": "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
"output_format": "png",
"safety_tolerance": 2
}
}'
var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"input": {
"prompt": "Put the woman next to the house",
"aspect_ratio": "match_input_image",
"input_image_1": "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
"input_image_2": "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
"output_format": "png",
"safety_tolerance": 2
}
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.quickrouter.ai/replicate/v1/models/flux-kontext-apps/multi-image-kontext-pro/predictions", 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({
"input": {
"prompt": "Put the woman next to the house",
"aspect_ratio": "match_input_image",
"input_image_1": "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
"input_image_2": "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
"output_format": "png",
"safety_tolerance": 2
}
})
headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
}
conn.request("POST", "/replicate/v1/models/flux-kontext-apps/multi-image-kontext-pro/predictions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
返回响应
响应参数 application/json
id
string
可选
任务ID
status
string
可选
任务状态
output
string
可选
任务输出
示例
{
"id": "26t3agjpx9rme0crb4es5cbxx4",
"status": "starting"
}