GPT Image 2 API

STATUS_URL=$(curl --request POST 'https://api.mage.space/v1/gpt_image_2/generate' \
  --header "Authorization: Bearer $MAGE_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
  "prompt": "Editorial portrait in soft daylight, 35mm film look",
  "aspect_ratio": "4:5",
  "model_id": "gpt-image-2"
}' | jq -r '.status_url')

# Repeat until status is "completed"; result.url is the file
curl "$STATUS_URL" --header "Authorization: Bearer $MAGE_API_KEY"

import os, time, requests

headers = {"Authorization": f"Bearer {os.environ['MAGE_API_KEY']}"}
request = requests.post(
    "https://api.mage.space/v1/gpt_image_2/generate",
    headers=headers,
    json={
      "prompt": "Editorial portrait in soft daylight, 35mm film look",
      "aspect_ratio": "4:5",
      "model_id": "gpt-image-2"
    },
).json()

while request["status"] in ("queued", "in_progress"):
    time.sleep(3)
    request = requests.get(request["status_url"], headers=headers).json()

print(request["status"], request["result"] and request["result"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.MAGE_API_KEY}`,
  'Content-Type': 'application/json',
};
let request = await fetch('https://api.mage.space/v1/gpt_image_2/generate', {
  method: 'POST',
  headers,
  body: JSON.stringify({
    "prompt": "Editorial portrait in soft daylight, 35mm film look",
    "aspect_ratio": "4:5",
    "model_id": "gpt-image-2"
  }),
}).then((response) => response.json());

while (['queued', 'in_progress'].includes(request.status)) {
  await new Promise((resolve) => setTimeout(resolve, 3000));
  request = await fetch(request.status_url, { headers }).then((r) => r.json());
}

console.log(request.status, request.result?.url);