Create Request

curl --request POST \
  --url https://queue.modelrunner.run/{ownerName}/{modelName} \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "two friends cooking together",
  "negative_prompt": "worst quality, low quality, deformed, extra fingers",
  "width": 1280,
  "height": 1024,
  "num_outputs": 1,
  "scheduler": "K_EULER",
  "num_inference_steps": 4,
  "guidance_scale": 0,
  "seed": 103,
  "disable_safety_checker": "false"
}
'

import requests

url = "https://queue.modelrunner.run/{ownerName}/{modelName}"

payload = {
    "prompt": "two friends cooking together",
    "negative_prompt": "worst quality, low quality, deformed, extra fingers",
    "width": 1280,
    "height": 1024,
    "num_outputs": 1,
    "scheduler": "K_EULER",
    "num_inference_steps": 4,
    "guidance_scale": 0,
    "seed": 103,
    "disable_safety_checker": "false"
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: 'two friends cooking together',
    negative_prompt: 'worst quality, low quality, deformed, extra fingers',
    width: 1280,
    height: 1024,
    num_outputs: 1,
    scheduler: 'K_EULER',
    num_inference_steps: 4,
    guidance_scale: 0,
    seed: 103,
    disable_safety_checker: 'false'
  })
};

fetch('https://queue.modelrunner.run/{ownerName}/{modelName}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://queue.modelrunner.run/{ownerName}/{modelName}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'prompt' => 'two friends cooking together',
    'negative_prompt' => 'worst quality, low quality, deformed, extra fingers',
    'width' => 1280,
    'height' => 1024,
    'num_outputs' => 1,
    'scheduler' => 'K_EULER',
    'num_inference_steps' => 4,
    'guidance_scale' => 0,
    'seed' => 103,
    'disable_safety_checker' => 'false'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://queue.modelrunner.run/{ownerName}/{modelName}"

	payload := strings.NewReader("{\n  \"prompt\": \"two friends cooking together\",\n  \"negative_prompt\": \"worst quality, low quality, deformed, extra fingers\",\n  \"width\": 1280,\n  \"height\": 1024,\n  \"num_outputs\": 1,\n  \"scheduler\": \"K_EULER\",\n  \"num_inference_steps\": 4,\n  \"guidance_scale\": 0,\n  \"seed\": 103,\n  \"disable_safety_checker\": \"false\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://queue.modelrunner.run/{ownerName}/{modelName}")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"two friends cooking together\",\n  \"negative_prompt\": \"worst quality, low quality, deformed, extra fingers\",\n  \"width\": 1280,\n  \"height\": 1024,\n  \"num_outputs\": 1,\n  \"scheduler\": \"K_EULER\",\n  \"num_inference_steps\": 4,\n  \"guidance_scale\": 0,\n  \"seed\": 103,\n  \"disable_safety_checker\": \"false\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://queue.modelrunner.run/{ownerName}/{modelName}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"two friends cooking together\",\n  \"negative_prompt\": \"worst quality, low quality, deformed, extra fingers\",\n  \"width\": 1280,\n  \"height\": 1024,\n  \"num_outputs\": 1,\n  \"scheduler\": \"K_EULER\",\n  \"num_inference_steps\": 4,\n  \"guidance_scale\": 0,\n  \"seed\": 103,\n  \"disable_safety_checker\": \"false\"\n}"

response = http.request(request)
puts response.read_body

{
  "request_id": "<string>",
  "response_url": "<string>",
  "status_url": "<string>",
  "cancel_url": "<string>",
  "logs": "<string>",
  "metrics": {
    "inference_time": 123
  },
  "queue_position": 123
}

{
  "error": "<string>",
  "message": "<string>",
  "statusCode": 123,
  "details": "<unknown>"
}

{
  "error": "<string>",
  "message": "<string>",
  "statusCode": 123,
  "details": "<unknown>"
}

{
  "error": "<string>",
  "message": "<string>",
  "statusCode": 123,
  "details": "<unknown>"
}