curl --request POST \
  --url https://backend.tensorpix.ai/api/v2/tensorshots/jobs/image-to-image/ \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "reference_images_ids": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "model_config": "<unknown>",
  "style_settings": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "num_requested_images": 16383,
  "real_estate_shot": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}
'

import requests

url = "https://backend.tensorpix.ai/api/v2/tensorshots/jobs/image-to-image/"

payload = {
    "prompt": "<string>",
    "reference_images_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
    "model_config": "<unknown>",
    "style_settings": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
    "num_requested_images": 16383,
    "real_estate_shot": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}
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: '<string>',
    reference_images_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
    model_config: '<unknown>',
    style_settings: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
    num_requested_images: 16383,
    real_estate_shot: '3c90c3cc-0d44-4b50-8888-8dd25736052a'
  })
};

fetch('https://backend.tensorpix.ai/api/v2/tensorshots/jobs/image-to-image/', 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://backend.tensorpix.ai/api/v2/tensorshots/jobs/image-to-image/",
  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' => '<string>',
    'reference_images_ids' => [
        '3c90c3cc-0d44-4b50-8888-8dd25736052a'
    ],
    'model_config' => '<unknown>',
    'style_settings' => [
        '3c90c3cc-0d44-4b50-8888-8dd25736052a'
    ],
    'num_requested_images' => 16383,
    'real_estate_shot' => '3c90c3cc-0d44-4b50-8888-8dd25736052a'
  ]),
  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://backend.tensorpix.ai/api/v2/tensorshots/jobs/image-to-image/"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"reference_images_ids\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"model_config\": \"<unknown>\",\n  \"style_settings\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"num_requested_images\": 16383,\n  \"real_estate_shot\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\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://backend.tensorpix.ai/api/v2/tensorshots/jobs/image-to-image/")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"reference_images_ids\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"model_config\": \"<unknown>\",\n  \"style_settings\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"num_requested_images\": 16383,\n  \"real_estate_shot\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://backend.tensorpix.ai/api/v2/tensorshots/jobs/image-to-image/")

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\": \"<string>\",\n  \"reference_images_ids\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"model_config\": \"<unknown>\",\n  \"style_settings\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"num_requested_images\": 16383,\n  \"real_estate_shot\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n}"

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

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created_at": "2023-11-07T05:31:56Z",
  "error_message": "<string>",
  "status": "queued",
  "description": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "finished_at": "2023-11-07T05:31:56Z",
  "processing_time_seconds": 123,
  "cost_credits": "<string>",
  "prompt": "<string>",
  "model_name": "zephyr_i2i",
  "reference_images_ids": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "model_config": "<unknown>",
  "style_settings": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "num_requested_images": 16383,
  "real_estate_shot": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}

{
  "errors": {},
  "non_field_errors": [
    "<string>"
  ]
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}