Integre el motor de renderizado de MyArchitectAI en su aplicación

curl -X POST "https://api.myarchitectai.com/v1/render/interior" \
  -H "x-api-key: your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
  "image": "https://example.com/image.jpg",
  "outputFormat": "jpg",
  "prompt": "your prompt here"
}'

import requests

response = requests.post(
    "https://api.myarchitectai.com/v1/render/interior",
    headers={
        "x-api-key": "your_api_key",
        "Content-Type": "application/json"
    },
    json={
      "image": "https://example.com/image.jpg",
      "outputFormat": "jpg",
      "prompt": "your prompt here"
    }
)

result = response.json()
print(result["output"])

const response = await fetch("https://api.myarchitectai.com/v1/render/interior", {
  method: "POST",
  headers: {
    "x-api-key": "your_api_key",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "image": "https://example.com/image.jpg",
    "outputFormat": "jpg",
    "prompt": "your prompt here"
  })
});

const result = await response.json();
console.log(result.output);

const axios = require("axios");

const response = await axios.post(
  "https://api.myarchitectai.com/v1/render/interior",
  {
    "image": "https://example.com/image.jpg",
    "outputFormat": "jpg",
    "prompt": "your prompt here"
  },
  {
    headers: {
      "x-api-key": "your_api_key",
      "Content-Type": "application/json"
    }
  }
);

console.log(response.data.output);