Nano Banana 2 Edit

# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/nano-banana-2/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Turn this photo into a 1:7 scale collectible figurine of the dog on a round clear acrylic base, standing on a tidy wooden desk with soft studio light; keep the dog'\''s pose, fur colors and expression.",
    "images": [
      "https://content.doitong.com/dev-api/2026/10/21/req_3yckkmcr3dayonfhigdeaiia/0-pz7p4ydjvjJmL__s7lK6p_L0WSl1GK.png"
    ],
    "resolution": "1K"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-2/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Turn this photo into a 1:7 scale collectible figurine of the dog on a round clear acrylic base, standing on a tidy wooden desk with soft studio light; keep the dog's pose, fur colors and expression.",
    "images": [
      "https://content.doitong.com/dev-api/2026/10/21/req_3yckkmcr3dayonfhigdeaiia/0-pz7p4ydjvjJmL__s7lK6p_L0WSl1GK.png"
    ],
    "resolution": "1K"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");

import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "Turn this photo into a 1:7 scale collectible figurine of the dog on a round clear acrylic base, standing on a tidy wooden desk with soft studio light; keep the dog's pose, fur colors and expression.",
    "images": [
        "https://content.doitong.com/dev-api/2026/10/21/req_3yckkmcr3dayonfhigdeaiia/0-pz7p4ydjvjJmL__s7lK6p_L0WSl1GK.png",
    ],
    "resolution": "1K",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/nano-banana-2/edit", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])

# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/hi/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
  --header "Authorization: Bearer $DOITONG_API_KEY"

# 2. Your agent calls the "run" tool with:
{
  "model_id": "nano-banana-2/edit",
  "input": {
    "prompt": "Turn this photo into a 1:7 scale collectible figurine of the dog on a round clear acrylic base, standing on a tidy wooden desk with soft studio light; keep the dog's pose, fur colors and expression.",
    "images": [
      "https://content.doitong.com/dev-api/2026/10/21/req_3yckkmcr3dayonfhigdeaiia/0-pz7p4ydjvjJmL__s7lK6p_L0WSl1GK.png"
    ],
    "resolution": "1K"
  }
}

Nano Banana 2 Edit मॉडल (nano-banana-2/edit) को Doitong API के ज़रिए कॉल करें। एजेंट के लिए दस्तावेज़: https://doitong.com/hi/developers/models/nano-banana-2/edit.md

POST https://api.doitong.com/v1/run/nano-banana-2/edit?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "prompt": "Turn this photo into a 1:7 scale collectible figurine of the dog on a round clear acrylic base, standing on a tidy wooden desk with soft studio light; keep the dog's pose, fur colors and expression.",
  "images": [
    "https://content.doitong.com/dev-api/2026/10/21/req_3yckkmcr3dayonfhigdeaiia/0-pz7p4ydjvjJmL__s7lK6p_L0WSl1GK.png"
  ],
  "resolution": "1K"
}

यदि रिस्पॉन्स स्टेटस "queued" या "running" है, तो GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 को तब तक पोल करें जब तक यह "succeeded" न हो जाए; फ़ाइलें outputs[].url में हैं। उसी बॉडी के साथ POST https://api.doitong.com/v1/quote/nano-banana-2/edit चलाने से रन से पहले सटीक कीमत मिलती है।