Fetch Queued Images Endpoint

Overview

Fetch Queued Images API fetches queued images from stable diffusion.

Usually more complex image generation requests take more time for processing. Such requests are being queued for processing and the output images are retrievable after some time.

Request

--request POST 'https://modelslab.com/api/v6/realtime/fetch/{id}' \

Send a POST request to https://modelslab.com/api/v6/realtime/fetch/{id} endpoint to return the corresponding queued images. Where {id} is the ID returned together with the image URL in the response upon its generation. This endpoint does not generate new images, it returns already generated/queued images.

Attributes

Parameter	Description
key	Your API Key used for request authorization

Example

Body

Body Raw

{
 "key": ""
}

Request

JS

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
 "key": ""
});

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

fetch("https://modelslab.com/api/v6/realtime/fetch/12202888", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

PHP

<?php

$payload = [
  "key" => ""
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v6/realtime/fetch/12202888',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($payload),
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

NODE

var request = require('request');
var options = {
  'method': 'POST',
  'url': 'https://modelslab.com/api/v6/realtime/fetch/12202888',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "key": ""
  })
};

request(options, function (error, response) {
  if (error) throw new Error(error);
  console.log(response.body);
});

PYTHON

import requests
import json

url = "https://modelslab.com/api/v6/realtime/fetch/12202888"

payload = json.dumps({
 "key": ""
})

headers = {
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

JAVA

OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n    \"key\": \"\"\n}");
Request request = new Request.Builder()
  .url("https://modelslab.com/api/v6/realtime/fetch/12202888")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .build();
Response response = client.newCall(request).execute();

Response

Success

{
    "status": "success",
    "id": 134686749,
    "output": [
        "https://modelslab-bom.s3.amazonaws.com/modelslab/da199aff-7162-424d-8e25-f365bcee1e28-0.jpg"
    ],
    "proxy_links": [
        "https://modelslab-bom.s3.amazonaws.com/modelslab/da199aff-7162-424d-8e25-f365bcee1e28-0.jpg"
    ]
}

Processing

{
    "status": "processing",
    "message": "try again later.",
    "output": "",
    "tip": "Get 20x faster image generation using enterprise plan. Click here : https://modelslab.com/enterprise"
}

Error

{
    "status": "error",
    "message": "Error message"
}