Get Training Status

Overview

Stable Diffusion V3 APIs Get Training Status endpoint is used to get the status of a training model initiated by the Create Training endpoint.

This endpoint allows to check the current status of the model training and the estimated time remaining for its completion if not completed yet.

Request

--request POST 'https://modelslab.com/api/v3/fine_tune_status/{training_id}' \

Make a POST request to https://modelslab.com/api/v3/fine_tune_status/{training_id} endpoint. Where {training_id} is returned in the response upon initiating the model training using the Create Dreambooth Request endpoint. This endpoint only returns information for an already initiated model training.

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/v3/fine_tune_status/F5jvdzGnYi", 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($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v3/fine_tune_status/F5jvdzGnYi',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($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/v3/fine_tune_status/F5jvdzGnYi',
  '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/v3/fine_tune_status/F5jvdzGnYi"

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/v3/fine_tune_status/F5jvdzGnYi")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .build();
Response response = client.newCall(request).execute();

Response

Example Response

{
  "status": "success",
  "messege": "model_ready",
  "data": " /n Step:1 Training Started, 5 Steps to go : ETA : 30 minutes /n Step:2 Training Done, 4 Steps to go : ETA : 15 minutes /n Step:3 Model Uploading, 3 Steps to go : ETA : 10 minutes /n  /n Step:4 Model Uploaded, 2 Steps to go : ETA : 5 minutes /n Model loaded successfully"
}