GPT Image 2 vs Nano Banana Pro: 가격, 기능, 코드

export REVANA_API_KEY="sr_live_..."

# 1. Submit the job (returns 202 with the generation id)
curl https://api.revana.si/v1/generations \
  -H "Authorization: Bearer $REVANA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "input": {
      "prompt": "A minimalist poster for a jazz night. Large serif title BLUE HOUR, the line FRIDAY 9 PM below it, a single trumpet in silhouette against a deep blue gradient.",
      "resolution": "4K",
      "aspect_ratio": "2:3"
    },
    "max_cost_usd": 0.1
  }'

# 2. Poll with the id from step 1 until status is "succeeded" or "failed"
curl https://api.revana.si/v1/generations/gen_01JC2V8K5T \
  -H "Authorization: Bearer $REVANA_API_KEY"

import os
import time

import requests

API = "https://api.revana.si/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['REVANA_API_KEY']}"}

resp = requests.post(f"{API}/generations", headers=HEADERS, json={
    "model": "gpt-image-2",
    "input": {
        "prompt": "A minimalist poster for a jazz night. Large serif title BLUE HOUR, the line FRIDAY 9 PM below it, a single trumpet in silhouette against a deep blue gradient.",
        "resolution": "4K",
        "aspect_ratio": "2:3",
    },
    "max_cost_usd": 0.1,
})
resp.raise_for_status()
job = resp.json()

while job["status"] in ("queued", "running"):
    time.sleep(5)
    job = requests.get(f"{API}/generations/{job['id']}", headers=HEADERS).json()

if job["status"] == "succeeded":
    print(job["output"]["urls"], job["cost_usd"])
else:
    print("Failed:", job["error"])

// Node 18 or later. Save as generate.mjs and run: node generate.mjs
const API = "https://api.revana.si/v1";
const headers = {
  Authorization: `Bearer ${process.env.REVANA_API_KEY}`,
  "Content-Type": "application/json",
};

const res = await fetch(`${API}/generations`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    model: "gpt-image-2",
    input: {
      prompt: "A minimalist poster for a jazz night. Large serif title BLUE HOUR, the line FRIDAY 9 PM below it, a single trumpet in silhouette against a deep blue gradient.",
      resolution: "4K",
      aspect_ratio: "2:3",
    },
    max_cost_usd: 0.1,
  }),
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
let job = await res.json();

while (job.status === "queued" || job.status === "running") {
  await new Promise((r) => setTimeout(r, 5000));
  job = await (await fetch(`${API}/generations/${job.id}`, { headers })).json();
}

if (job.status === "succeeded") console.log(job.output.urls, job.cost_usd);
else console.error("Failed:", job.error);

import os
import time

import requests

API = "https://api.revana.si/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['REVANA_API_KEY']}"}
PROMPT = "A paper coffee cup on a cafe table. The sleeve reads KEEP GOING in hand-lettered type."

jobs = {}
for model in ("gpt-image-2", "nano-banana-pro"):
    r = requests.post(f"{API}/generations", headers=HEADERS, json={
        "model": model,
        "input": {"prompt": PROMPT, "resolution": "2K", "aspect_ratio": "1:1"},
        "max_cost_usd": 0.1,
    })
    r.raise_for_status()
    jobs[model] = r.json()["id"]

for model, gen_id in jobs.items():
    while True:
        job = requests.get(f"{API}/generations/{gen_id}", headers=HEADERS).json()
        if job["status"] in ("succeeded", "failed"):
            break
        time.sleep(3)
    print(model, job["status"], job.get("output"), job.get("cost_usd"))