Qwen 3 pro text to image

import { Qwen3Client } from "@runapi.ai/qwen-3";

const client = new Qwen3Client();
const result = await client.textToImage.run({
    model: "qwen-3-pro-text-to-image",
    prompt: "生成一張 4K 產品主圖，主體為啞黑色水樽，擺放在米色石面上，柔和側光。",
});

import os
import requests

response = requests.post(
    "https://runapi.ai/api/v1/qwen_3/text_to_image",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model":"qwen-3-pro-text-to-image","prompt":"生成一張 4K 產品主圖，主體為啞黑色水樽，擺放在米色石面上，柔和側光。"}
)
response.raise_for_status()

<?php

$client = curl_init("https://runapi.ai/api/v1/qwen_3/text_to_image");
curl_setopt_array($client, [
    CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'qwen-3-pro-text-to-image',
        'prompt' => '生成一張 4K 產品主圖，主體為啞黑色水樽，擺放在米色石面上，柔和側光。',
    ])
]);
$response = curl_exec($client);

RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.textToImage().run({"model":"qwen-3-pro-text-to-image","prompt":"生成一張 4K 產品主圖，主體為啞黑色水樽，擺放在米色石面上，柔和側光。"});
task.waitForResult();

require "runapi/qwen_3"

client = RunApi::Qwen3::Client.new
result = client.text_to_image.run(
    model: "qwen-3-pro-text-to-image",
    prompt: "生成一張 4K 產品主圖，主體為啞黑色水樽，擺放在米色石面上，柔和側光。"
)

client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.textToImage.Run({"model":"qwen-3-pro-text-to-image","prompt":"生成一張 4K 產品主圖，主體為啞黑色水樽，擺放在米色石面上，柔和側光。"})
if err != nil { log.Fatal(err) }
task.Wait()

$ runapi generate \
    --model qwen-3-pro-text-to-image \
    --endpoint text_to_image \
    --wait