Todos os modelos.
Uma API.

curl -X POST "https://api.wavespeed.ai/api/v3/google/nano-banana-pro/text-to-image" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A poolside patio at sunset with vintage lounge chairs",
  "aspect_ratio": "4:3",
  "resolution": "2k"
}'

# → {"data": {"id": "<prediction id>", ...}}
curl "https://api.wavespeed.ai/api/v3/predictions/<prediction id>/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

import os, time, requests

headers = {"Authorization": f"Bearer {os.environ['WAVESPEED_API_KEY']}"}
task = requests.post("https://api.wavespeed.ai/api/v3/google/nano-banana-pro/text-to-image", headers=headers, json={
    "prompt": "A poolside patio at sunset with vintage lounge chairs",
    "aspect_ratio": "4:3",
    "resolution": "2k"
  }).json()["data"]

while True:
    result = requests.get(f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result", headers=headers).json()["data"]
    if result["status"] == "completed":
        print(result["outputs"])
        break
    if result["status"] == "failed":
        raise RuntimeError(result.get("error"))
    time.sleep(2)

const headers = { Authorization: `Bearer ${process.env.WAVESPEED_API_KEY}`, 'Content-Type': 'application/json' }
const { data: task } = await fetch('https://api.wavespeed.ai/api/v3/google/nano-banana-pro/text-to-image', {
  method: 'POST',
  headers,
  body: JSON.stringify({
    "prompt": "A poolside patio at sunset with vintage lounge chairs",
    "aspect_ratio": "4:3",
    "resolution": "2k"
  }),
}).then((r) => r.json())

while (true) {
  const { data: result } = await fetch(`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`, { headers }).then((r) => r.json())
  if (result.status === 'completed') { console.log(result.outputs); break }
  if (result.status === 'failed') throw new Error(result.error)
  await new Promise((r) => setTimeout(r, 2000))
}