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Replicate SDXL 功能 - Stable Diffusion XL 高质量图像生成 - QuickRouter API 中转接口

POST https://api.quickrouter.ai/replicate/v1/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 ********************

官方文档: https://replicate.com/stability-ai/sdxl

请求参数

Header 参数
Authorization string
可选
示例: Bearer {{YOUR_API_KEY}}
Body 参数 application/json
input object
可选
width integer
可选
输出图像的宽度。默认值：1024。
height integer
可选
输出图像的高度。默认值：1024。
prompt string
可选
输入提示。 可选
refine string
可选
使用哪种精炼风格。默认值：“no_refiner”。
scheduler string
可选
调度程序。默认值：“K_EULER”。
lora_scale number
可选
LoRA 加法缩放。仅适用于经过训练的模型。默认值：0.6。
num_outputs integer
可选
要输出的图像数量。默认值：1。最小值：1，最大值：4。
guidance_scale number
可选
无分类器引导尺度。默认值：7.5。最小值：1，最大值：50。
apply_watermark boolean
可选
应用水印，以便确定图像是否在下游应用程序中生成。如果您有其他安全生成或部署图像的规定，则可以使用此方法禁用水印。默认值：true。
high_noise_frac number
可选
对于 expert_ensemble_refiner，要使用的噪声分数。默认值：0.8。最小值：0，最大值：1。
negative_prompt string
可选
输入否定提示。默认：””。
prompt_strength number
可选
使用 img2img / inpaint 时的提示强度。1.0 对应于完全破坏图像中的信息。默认值：0.8。最小值：0，最大值：1。
num_inference_steps integer
可选
去噪步骤数。默认值：50。最小值：1，最大值：500。 { "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc", "input": { "width": 768, "height": 768, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 25 } } 请求
示例
{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}

请求示例代码

curl --location --request POST 'https://api.quickrouter.ai/replicate/v1/predictions' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}'
var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
});

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

fetch("https://api.quickrouter.ai/replicate/v1/predictions", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));
import java.io.*;
import java.net.*;
import java.util.*;

URL url = new URL("https://api.quickrouter.ai/replicate/v1/predictions");
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("POST");
conn.setRequestProperty("Accept", "application/json");
conn.setRequestProperty("Authorization", "Bearer YOUR_API_KEY");
conn.setRequestProperty("Content-Type", "application/json");
conn.setDoOutput(true);
String jsonInputString = "{
    \"version\": \"stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc\",
    \"input\": {
        \"width\": 768,
        \"height\": 768,
        \"prompt\": \"An astronaut riding a rainbow unicorn, cinematic, dramatic\",
        \"refine\": \"expert_ensemble_refiner\",
        \"scheduler\": \"K_EULER\",
        \"lora_scale\": 0.6,
        \"num_outputs\": 1,
        \"guidance_scale\": 7.5,
        \"apply_watermark\": false,
        \"high_noise_frac\": 0.8,
        \"negative_prompt\": \"\",
        \"prompt_strength\": 0.8,
        \"num_inference_steps\": 25
    }
}";
try(OutputStream os = conn.getOutputStream()) {
    byte[] input = jsonInputString.getBytes("utf-8");
    os.write(input, 0, input.length);
}
int responseCode = conn.getResponseCode();
System.out.println("Response Code: " + responseCode);
import Foundation

let urlString = "https://api.quickrouter.ai/replicate/v1/predictions"
guard let url = URL(string: urlString) else { return }
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.addValue("application/json", forHTTPHeaderField: "Accept")
request.addValue("Bearer YOUR_API_KEY", forHTTPHeaderField: "Authorization")
request.addValue("application/json", forHTTPHeaderField: "Content-Type")
let httpBody = "{
    \"version\": \"stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc\",
    \"input\": {
        \"width\": 768,
        \"height\": 768,
        \"prompt\": \"An astronaut riding a rainbow unicorn, cinematic, dramatic\",
        \"refine\": \"expert_ensemble_refiner\",
        \"scheduler\": \"K_EULER\",
        \"lora_scale\": 0.6,
        \"num_outputs\": 1,
        \"guidance_scale\": 7.5,
        \"apply_watermark\": false,
        \"high_noise_frac\": 0.8,
        \"negative_prompt\": \"\",
        \"prompt_strength\": 0.8,
        \"num_inference_steps\": 25
    }
}"
request.httpBody = httpBody.data(using: .utf8)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let data = data {
        print(String(data: data, encoding: .utf8)!)
    }
}
task.resume()
package main

import (
    "fmt"
    "io"
    "net/http"
)

func main() {
    body := strings.NewReader(`{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}`)
    req, _ := http.NewRequest("POST", "https://api.quickrouter.ai/replicate/v1/predictions", body)
    req.Header.Set("Accept", "application/json")
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()
    bodyBytes, _ := io.ReadAll(resp.Body)
    fmt.Println(string(bodyBytes))
}
<?php

$curl = curl_init();
curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.quickrouter.ai/replicate/v1/predictions',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => '{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}',
  CURLOPT_HTTPHEADER => array(
    "Accept: application/json",
    "Authorization: Bearer YOUR_API_KEY",
    "Content-Type: application/json",
  ),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer YOUR_API_KEY',
   'Content-Type': 'application/json',
}
conn.request("POST", "/replicate/v1/predictions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
POST https://api.quickrouter.ai/replicate/v1/predictions HTTP/1.1
Accept: application/json
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}
CURL *hnd = curl_easy_init();
curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "https://api.quickrouter.ai/replicate/v1/predictions");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Accept: application/json");
headers = curl_slist_append(headers, "Authorization: Bearer YOUR_API_KEY");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);
curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{
    \"version\": \"stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc\",
    \"input\": {
        \"width\": 768,
        \"height\": 768,
        \"prompt\": \"An astronaut riding a rainbow unicorn, cinematic, dramatic\",
        \"refine\": \"expert_ensemble_refiner\",
        \"scheduler\": \"K_EULER\",
        \"lora_scale\": 0.6,
        \"num_outputs\": 1,
        \"guidance_scale\": 7.5,
        \"apply_watermark\": false,
        \"high_noise_frac\": 0.8,
        \"negative_prompt\": \"\",
        \"prompt_strength\": 0.8,
        \"num_inference_steps\": 25
    }
}");
CURLcode ret = curl_easy_perform(hnd);
var client = new RestClient("https://api.quickrouter.ai/replicate/v1/predictions");
var request = new RestRequest(Method.POST);
request.AddHeader("Accept", "application/json");
request.AddHeader("Authorization", "Bearer YOUR_API_KEY");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", @"{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);
#import <Foundation/Foundation.h>

NSURL *url = [NSURL URLWithString:@"https://api.quickrouter.ai/replicate/v1/predictions"];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"application/json" forHTTPHeaderField:@"Accept"];
[request setValue:@"Bearer YOUR_API_KEY" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:[@"{
    \"version\": \"stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc\",
    \"input\": {
        \"width\": 768,
        \"height\": 768,
        \"prompt\": \"An astronaut riding a rainbow unicorn, cinematic, dramatic\",
        \"refine\": \"expert_ensemble_refiner\",
        \"scheduler\": \"K_EULER\",
        \"lora_scale\": 0.6,
        \"num_outputs\": 1,
        \"guidance_scale\": 7.5,
        \"apply_watermark\": false,
        \"high_noise_frac\": 0.8,
        \"negative_prompt\": \"\",
        \"prompt_strength\": 0.8,
        \"num_inference_steps\": 25
    }
}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLSessionDataTask *task = [[NSURLSession sharedSession] dataTaskWithRequest:request completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
    NSLog(@"%@", [[NSString alloc] initWithData:data encoding:NSUTF8StringEncoding]);
}];
[task resume];
require "uri"
require "net/http"
require "json"

url = URI("https://api.quickrouter.ai/replicate/v1/predictions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Accept"] = "application/json"
request["Authorization"] = "Bearer YOUR_API_KEY"
request["Content-Type"] = "application/json"
request.body = '{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}'
response = http.request(request)
puts response.read_body
(* Requires cohttp and lwt *)

let url = "https://api.quickrouter.ai/replicate/v1/predictions" in
let headers = Cohttp.Header.of_list [
  ("Accept", "application/json");
  ("Authorization", "Bearer YOUR_API_KEY");
  ("Content-Type", "application/json");
] in
let body = Cohttp_lwt.Body.of_string '{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}' in
Lwt_main.run (
  Cohttp_lwt_unix.Client.request ?body:(Some body) ~method_:`POST ~headers (Uri.of_string url)
  >>= fun (resp, body) ->
  Cohttp_lwt.Body.to_string body >|= fun s -> print_endline s
)
import 'package:http/http.dart' as http;
import 'dart:convert';

var headers = {
  "Accept": "application/json",
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json",
};
var body = json.encode({
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
});
var response = await http.post(Uri.parse("https://api.quickrouter.ai/replicate/v1/predictions"), headers: headers, body: body);
print(response.body);
library(httr)

url <- "https://api.quickrouter.ai/replicate/v1/predictions"
body <- '{
    "version": "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
    "input": {
        "width": 768,
        "height": 768,
        "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "lora_scale": 0.6,
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": false,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 25
    }
}'
response <- post(url, body = body, add_headers("Accept" = "application/json", "Authorization" = "Bearer YOUR_API_KEY", "Content-Type" = "application/json"))
content(response, "text", encoding = "UTF-8")

返回响应

响应参数 🟢 200 OK · application/json
id string
必需
model string
必需
version string
必需
input object
必需
aspect_ratio string
必需
input_image string
必需
output_format string
必需
prompt string
必需
prompt_upsampling boolean
必需
safety_tolerance integer
必需
logs string
必需
output null
必需
data_removed boolean
必需
error null
必需
status string
必需
created_at string
必需
urls object
必需
cancel string
必需
get string
必需
stream string
必需
web string
必需
Create image 成功
示例
{
    "created": 1589478378,
    "data": [
        {
            "url": "https://..."
        },
        {
            "url": "https://..."
        }
    ]
}

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