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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/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"
}
}
Call the Nano Banana 2 Edit model (nano-banana-2/edit) through the Doitong API. Docs for agents: https://doitong.com/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"
}
If the response status is "queued" or "running", poll GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://api.doitong.com/v1/quote/nano-banana-2/edit with the same body returns the exact price before the run.
This request: $0.08 80 API credits Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Controls are generated from the model schema. The code and the price update as you change them.
/run/nano-banana-2/edit?wait=20
quote → $0.08
# 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"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"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"
},
"wait_seconds": 20
}
}
}
Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key
Public works made with Nano Banana 2 by the Doitong community. Reuse a prompt in one click.
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The editing mode of Nano Banana 2: pass images and describe the change, or skip images and give a video, an audio file or a PDF (each up to 15 MB) as context to illustrate. Output from 0.5K to 4K with aspect ratios from 1:8 to 8:1, optional web search and high thinking, up to four results per request.
Send either the canonical name or the native name, not both. Canonical names
promptrequired
num_imagesoptional
num_outputs
seedoptional
aspect_ratiooptional
output_formatoptional
safety_toleranceoptional
image_urlsoptional
images
system_promptoptional
resolutionoptional
video_urloptional
video
audio_urloptional
audio
pdf_urloptional
limit_generationsoptional
enable_web_searchoptional
thinking_leveloptional
File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "nano-banana-2/edit",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 80,
"usd": "0.08",
"charged": 80,
"refunded": 0
},
"input": {
"prompt": "Turn this night street scene into a sunny morning, keep the sneaker and the puddle reflections",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
],
"resolution": "1K"
},
"output": {
"images": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768
}
],
"description": "string"
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
For AI agents: this page as Markdown is at https://doitong.com/developers/models/nano-banana-2/edit.md. All models and guides: https://doitong.com/developers/llms.txt