Avvio rapido

curl https://api.meshy.ai/openapi/v1/image-to-3d \
  -X POST \
  -H "Authorization: Bearer ${MESHY_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://docs.meshy.ai/images/api/quick-start/source-photo.webp"
  }'

curl https://api.meshy.ai/openapi/v1/image-to-3d/<task_id> \
  -H "Authorization: Bearer ${MESHY_API_KEY}"

curl -L "<model_urls.glb from the response above>" -o model.glb

import axios from 'axios';
import fs from 'fs';

const headers = { Authorization: `Bearer ${process.env.MESHY_API_KEY}` };
const imageUrl = 'https://docs.meshy.ai/images/api/quick-start/source-photo.webp';

// 1. Create the task
const { data: created } = await axios.post(
  'https://api.meshy.ai/openapi/v1/image-to-3d',
  { image_url: imageUrl },
  { headers },
);
const taskId = created.result;

// 2. Poll until it finishes
let task;
while (true) {
  const { data } = await axios.get(`https://api.meshy.ai/openapi/v1/image-to-3d/${taskId}`, { headers });
  task = data;
  if (task.status === 'SUCCEEDED' || task.status === 'FAILED') break;
  await new Promise((resolve) => setTimeout(resolve, 5000));
}

// 3. Download the result (only if the task succeeded)
if (task.status !== 'SUCCEEDED') {
  throw new Error(`Task ${task.status}: ${task.task_error?.message || 'unknown error'}`);
}
const { data: model } = await axios.get(task.model_urls.glb, { responseType: 'arraybuffer' });
fs.writeFileSync('model.glb', model);
console.log('Saved model.glb');