Replicate Flux Kontext Dev 功能
POST
https://api.quickrouter.ai/replicate/v1/models/black-forest-labs/flux-kontext-dev/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。
go_fast
boolean
可选
使模型运行速度更快，对于更困难的提示，输出质量可能会略有下降。默认值：true。
guidance
number
可选
提示词引导强度。默认值: 2.5。最小值：0，最大值：10
input_image
string
必需
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"。
output_format
string
可选
输出图像格式。默认值："webp"。
output_quality
integer
可选
保存输出图像时的质量，范围为 0 至 100。100 为最佳质量，0 为最低质量。与 .png 输出无关。默认值：80。最小值：0，最大值：100。
num_inference_steps
integer
可选
推理步骤数，默认值：28。最小值：4，最大值：50。
示例
{
"input": {
"prompt": "Change the car color to red, turn the headlights on",
"go_fast": true,
"guidance": 2.5,
"input_image": "https://replicate.delivery/pbxt/N5YURZv4ifaW2bMwU7hmrwzgtxf99DTQXpBeobLt1O7dEc3h/pexels-jmark-253096.jpg",
"aspect_ratio": "match_input_image",
"output_format": "jpg",
"output_quality": 80,
"num_inference_steps": 30
}
}请求示例代码
curl --location --request POST 'https://api.quickrouter.ai/replicate/v1/models/black-forest-labs/flux-kontext-dev/predictions' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{
"input": {
"prompt": "Change the car color to red, turn the headlights on",
"go_fast": true,
"guidance": 2.5,
"input_image": "https://replicate.delivery/pbxt/N5YURZv4ifaW2bMwU7hmrwzgtxf99DTQXpBeobLt1O7dEc3h/pexels-jmark-253096.jpg",
"aspect_ratio": "match_input_image",
"output_format": "jpg",
"output_quality": 80,
"num_inference_steps": 30
}
}'var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"input": {
"prompt": "Change the car color to red, turn the headlights on",
"go_fast": true,
"guidance": 2.5,
"input_image": "https://replicate.delivery/pbxt/N5YURZv4ifaW2bMwU7hmrwzgtxf99DTQXpBeobLt1O7dEc3h/pexels-jmark-253096.jpg",
"aspect_ratio": "match_input_image",
"output_format": "jpg",
"output_quality": 80,
"num_inference_steps": 30
}
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.quickrouter.ai/replicate/v1/models/black-forest-labs/flux-kontext-dev/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": "Change the car color to red, turn the headlights on",
"go_fast": True,
"guidance": 2.5,
"input_image": "https://replicate.delivery/pbxt/N5YURZv4ifaW2bMwU7hmrwzgtxf99DTQXpBeobLt1O7dEc3h/pexels-jmark-253096.jpg",
"aspect_ratio": "match_input_image",
"output_format": "jpg",
"output_quality": 80,
"num_inference_steps": 30
}
})
headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
}
conn.request("POST", "/replicate/v1/models/black-forest-labs/flux-kontext-dev/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": "tpdf40dypdrma0cram394vvzkg",
"status": "starting"
}