GPT Image 2.5 Flare

// Node.js. Running this creates one paid generation.
import { randomUUID } from 'node:crypto';
const base = "https://www.made.app/api";
const headers = {
  Authorization: `Bearer ${process.env.MADE_API_KEY}`,
  'Content-Type': 'application/json',
};
const input = {
  "model": "gpt_image_2_5_flare",
  "prompt": "Model in an oversized olive bomber jacket and cargo trousers standing on a city rooftop at golden hour, haze over the skyline. 35mm film still, soft natural light, muted earth tones with one lime accent, shallow depth of field, subtle film grain, candid and unposed, no text, logos, or watermark.",
  "image_size": "1024x1024",
  "quality": "low"
};

async function api(path, body) {
  const response = await fetch(base + path, {
    method: body ? 'POST' : 'GET', headers,
    ...(body && { body: JSON.stringify(body) }),
  });
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

const { cost } = await api('/v1/cost', input);
console.log('Quoted cents:', cost.customerCostCents);
// Preserve this request ID when retrying a submission.
const requestId = randomUUID();
let job = await api('/v1/generations', {
  ...input, request_id: requestId,
  max_cost_cents: cost.customerCostCents,
});
console.log('Request:', job.id);
while (!['succeeded', 'failed', 'canceled'].includes(job.status)) {
  await new Promise(resolve => setTimeout(resolve, 3000));
  job = await api('/v1/generations/' + job.id);
}
if (job.status !== 'succeeded') throw new Error(JSON.stringify(job.error || job.status));
console.log(job.result.assets);