curl --request POST \
  --url https://api.deepinfra.com/lora-model \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "hf_model_name": "<string>",
  "lora_model_name": "<string>",
  "hf_token": "<string>",
  "base_model_name": "<string>"
}
'

import requests

url = "https://api.deepinfra.com/lora-model"

payload = {
    "hf_model_name": "<string>",
    "lora_model_name": "<string>",
    "hf_token": "<string>",
    "base_model_name": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    hf_model_name: '<string>',
    lora_model_name: '<string>',
    hf_token: '<string>',
    base_model_name: '<string>'
  })
};

fetch('https://api.deepinfra.com/lora-model', 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://api.deepinfra.com/lora-model",
  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([
    'hf_model_name' => '<string>',
    'lora_model_name' => '<string>',
    'hf_token' => '<string>',
    'base_model_name' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "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://api.deepinfra.com/lora-model"

	payload := strings.NewReader("{\n  \"hf_model_name\": \"<string>\",\n  \"lora_model_name\": \"<string>\",\n  \"hf_token\": \"<string>\",\n  \"base_model_name\": \"<string>\"\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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://api.deepinfra.com/lora-model")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"hf_model_name\": \"<string>\",\n  \"lora_model_name\": \"<string>\",\n  \"hf_token\": \"<string>\",\n  \"base_model_name\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.deepinfra.com/lora-model")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"hf_model_name\": \"<string>\",\n  \"lora_model_name\": \"<string>\",\n  \"hf_token\": \"<string>\",\n  \"base_model_name\": \"<string>\"\n}"

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

{
  "deploy_id": "<string>",
  "model_name": "<string>",
  "version": "<string>",
  "task": "<string>",
  "status": "<string>",
  "fail_reason": "<string>",
  "created_at": "<string>",
  "updated_at": "<string>",
  "type": "legacy",
  "instances": {
    "running": 123,
    "pending": 123
  },
  "config": {
    "num_gpus": 123,
    "max_batch_size": 123,
    "weights": {
      "repo": "<string>",
      "revision": "<string>",
      "token": "<string>"
    }
  },
  "settings": {
    "min_instances": 1,
    "max_instances": 1
  },
  "standard_args": {
    "max_context_size": 5000000,
    "max_concurrent_requests": 512,
    "gpu_memory_fraction": 0.735,
    "max_prefill_tokens": 65792,
    "enable_prefix_caching": true
  },
  "extra_args": [
    "<string>"
  ],
  "update_error": "<string>",
  "rollout": {
    "up_to_date": 123,
    "outdated": 123,
    "booting": 123
  }
}

{
  "error": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}