注册

Replicate Flux Kontext Pro 功能

POST https://api.quickrouter.ai/replicate/v1/models/black-forest-labs/flux-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
您想要生成的内容的文本描述,或有关如何编辑给定图像的说明。
input_image string
可选
用作参考的图片。必须是 jpeg、png、gif 或 webp 格式。
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",支持1:1,16:9,9:16,4:3,3:4,3:2,2:3,4:5,5:4,21:9,9:21,2:1,1:2。
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 最严格,6 最宽松。2 是目前使用输入图像时允许的最大值。默认值:2
prompt_upsampling boolean
可选
自动提示改进。默认值:false。
示例
{
    "input": {
        "prompt": "Make this a 90s cartoon",
        "input_image": "https://replicate.delivery/pbxt/N55l5TWGh8mSlNzW8usReoaNhGbFwvLeZR3TX1NL4pd2Wtfv/replicate-prediction-f2d25rg6gnrma0cq257vdw2n4c.png",
        "aspect_ratio": "match_input_image",
        "output_format": "jpg",
        "safety_tolerance": 2,
        "prompt_upsampling": false
    }
}

请求示例代码

curl --location --request POST 'https://api.quickrouter.ai/replicate/v1/models/black-forest-labs/flux-kontext-pro/predictions' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{
    "input": {
        "prompt": "Make this a 90s cartoon",
        "input_image": "https://replicate.delivery/pbxt/N55l5TWGh8mSlNzW8usReoaNhGbFwvLeZR3TX1NL4pd2Wtfv/replicate-prediction-f2d25rg6gnrma0cq257vdw2n4c.png",
        "aspect_ratio": "match_input_image",
        "output_format": "jpg",
        "safety_tolerance": 2,
        "prompt_upsampling": false
    }
}'
var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "input": {
    "prompt": "Make this a 90s cartoon",
    "input_image": "https://replicate.delivery/pbxt/N55l5TWGh8mSlNzW8usReoaNhGbFwvLeZR3TX1NL4pd2Wtfv/replicate-prediction-f2d25rg6gnrma0cq257vdw2n4c.png",
    "aspect_ratio": "match_input_image",
    "output_format": "jpg",
    "safety_tolerance": 2,
    "prompt_upsampling": false
  }
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://api.quickrouter.ai/replicate/v1/models/black-forest-labs/flux-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": "Make this a 90s cartoon",
    "input_image": "https://replicate.delivery/pbxt/N55l5TWGh8mSlNzW8usReoaNhGbFwvLeZR3TX1NL4pd2Wtfv/replicate-prediction-f2d25rg6gnrma0cq257vdw2n4c.png",
    "aspect_ratio": "match_input_image",
    "output_format": "jpg",
    "safety_tolerance": 2,
    "prompt_upsampling": False
  }
})
headers = {
  'Authorization': 'Bearer YOUR_API_KEY',
  'Content-Type': 'application/json'
}
conn.request("POST", "/replicate/v1/models/black-forest-labs/flux-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": "b1qw7g8h9xrma0crakst3xbj8m",
    "status": "starting"
}