Google: Nano Banana Pro (Gemini 3 Pro Image)

curl https://api.mirapi.ai/v1beta/models/gemini-3-pro-image:generateContent \
  -H "x-goog-api-key: $MIRAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "A red bicycle leaning on a white wall"}]}],
    "generationConfig": {
      "responseModalities": ["TEXT", "IMAGE"],
      "imageConfig": {"aspectRatio": "1:1"}
    }
  }'
# the image is base64 in candidates[0].content.parts[].inlineData.data

import os, base64, requests

url = "https://api.mirapi.ai/v1beta/models/gemini-3-pro-image:generateContent"
resp = requests.post(
    url,
    headers={"x-goog-api-key": os.environ["MIRAPI_API_KEY"]},   # changed
    json={
        "contents": [{"parts": [{"text": "A red bicycle leaning on a white wall"}]}],
        "generationConfig": {
            "responseModalities": ["TEXT", "IMAGE"],
            "imageConfig": {"aspectRatio": "1:1"},
        },
    },
).json()

for part in resp["candidates"][0]["content"]["parts"]:
    if "inlineData" in part:
        open("image.png", "wb").write(base64.b64decode(part["inlineData"]["data"]))

import fs from "node:fs";

const url =
  "https://api.mirapi.ai/v1beta/models/gemini-3-pro-image:generateContent";

const res = await fetch(url, {
  method: "POST",
  headers: { "x-goog-api-key": process.env.MIRAPI_API_KEY!, "Content-Type": "application/json" },  // changed
  body: JSON.stringify({
    contents: [{ parts: [{ text: "A red bicycle leaning on a white wall" }] }],
    generationConfig: {
      responseModalities: ["TEXT", "IMAGE"],
      imageConfig: { aspectRatio: "1:1" },
    },
  }),
});

const { candidates } = await res.json();
const img = candidates[0].content.parts.find((p) => p.inlineData);
fs.writeFileSync("image.png", Buffer.from(img.inlineData.data, "base64"));