Gerar imagens a partir de descrições em texto

import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.llm.images.create({
    imageGenerationRequest: {
      prompt: "A serene mountain landscape at sunset with a lake reflection",
      quality: "hd",
    },
  });

  console.log(result);
}

run();

package main

import(
	"context"
	mka1 "github.com/MeetKai/mka1-sdks/go"
	"github.com/MeetKai/mka1-sdks/go/models/components"
	"log"
)

func main() {
    ctx := context.Background()

    s := mka1.New(
        mka1.WithSecurity("<YOUR_BEARER_TOKEN_HERE>"),
    )

    res, err := s.Llm.Images.Create(ctx, components.ImageGenerationRequest{
        Prompt: "A serene mountain landscape at sunset with a lake reflection",
        Quality: components.ImageGenerationRequestQualityHd.ToPointer(),
    }, nil)
    if err != nil {
        log.Fatal(err)
    }
    if res.ImageGenerationResponse != nil {
        // handle response
    }
}

using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;

var sdk = new SDK(bearerAuth: "<YOUR_BEARER_TOKEN_HERE>");

var res = await sdk.Llm.Images.CreateAsync(body: new ImageGenerationRequest() {
    Prompt = "A serene mountain landscape at sunset with a lake reflection",
    Quality = ImageGenerationRequestQuality.Hd,
});

// handle response

from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.images.create(prompt="A serene mountain landscape at sunset with a lake reflection", model="auto", n=1, quality="hd", response_format="url", size="1024x1024", style="vivid")

    # Handle response
    print(res)

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "auto",
  "prompt": "A serene mountain landscape at sunset with a lake reflection",
  "size": "1024x1024",
  "quality": "hd"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'auto',
    prompt: 'A serene mountain landscape at sunset with a lake reflection',
    size: '1024x1024',
    quality: 'hd'
  })
};

fetch('https://apigw.mka1.com/api/v1/llm/images/generations', 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://apigw.mka1.com/api/v1/llm/images/generations",
  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([
    'model' => 'auto',
    'prompt' => 'A serene mountain landscape at sunset with a lake reflection',
    'size' => '1024x1024',
    'quality' => 'hd'
  ]),
  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;
}

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/v1/llm/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"auto\",\n  \"prompt\": \"A serene mountain landscape at sunset with a lake reflection\",\n  \"size\": \"1024x1024\",\n  \"quality\": \"hd\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/v1/llm/images/generations")

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  \"model\": \"auto\",\n  \"prompt\": \"A serene mountain landscape at sunset with a lake reflection\",\n  \"size\": \"1024x1024\",\n  \"quality\": \"hd\"\n}"

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

{
  "created": 1704067200,
  "data": [
    {
      "url": "https://example.com/generated-image.png",
      "revised_prompt": "A serene mountain landscape at sunset with a calm lake reflection, digital art style"
    }
  ]
}