
Naginas concordanzas. Emprova “video”, “FLUX” u “webhooks”.
Chargiar models…
nano-banana-pro/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-pro/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.png"
],
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.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-pro/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/rm/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-pro/edit",
"input": {
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.png"
],
"resolution": "1K"
}
}
Cloma il model Nano Banana Pro Edit (nano-banana-pro/edit) tras la Doitong API. Documentaziun per agents: https://doitong.com/rm/developers/models/nano-banana-pro/edit.md
POST https://api.doitong.com/v1/run/nano-banana-pro/edit?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.png"
],
"resolution": "1K"
}
Sche il status da la resposta è "queued" u "running", fa polling GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 fin ch'el è "succeeded"; las datotecas èn en outputs[].url. POST https://api.doitong.com/v1/quote/nano-banana-pro/edit cun il medem body returna il pretsch exact avant l'execuziun.
Questa dumonda: $0,15 150 credits API Lantschar sin questa pagina
Tia nova clav API. Quest vegn mussada mo ussa ed è gia en il code ed en il champ da la clav API sutvart. Mantegna ella secreta: na la metta mai en code che vegn exequì en in navigatur.
PromptFaithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K
Ils controls vegnan generads dal schema dal model. Il code e il pretsch s'actualiseschan durant che ti als midas.
/run/nano-banana-pro/edit?wait=20
calculaziun → $0,15
# 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-pro/edit?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro/edit?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.png"
],
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.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-pro/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-pro/edit",
"input": {
"prompt": "Faithfully restore this image with high fidelity to modern photograph quality, in full color, upscale to 4K",
"images": [
"https://content.doitong.com/dev-api/2026/10/21/req_tlhvxyf27ektm9ozuzozz5fn/0-1h3kLymYuP3n6Z-kAnWa8_Nh4eqcOs.png"
],
"resolution": "1K"
},
"wait_seconds": 20
}
}
}
Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Obtegnair ina clav API
Ovras publicas fatgas cun Nano Banana Pro da la communitad Doitong. Reutilisescha in prompt cun in clic.
Strong rule: style --- Cinematic Realism, dramatic lighting, high cont... ---. Close-up of Grandma Nina's face. Tears in her eyes, flour smeared on her cheeks. Vulnerable and scared expression. Character appearance reference (MUST match exactly): - Бабушка Нина: Strong rule: style --- Cinematic...
Strong rule: style --- 3d Pixar ---. Крупный план: Сая сладко спит в своей кроватке, её личико полностью расслаблено, губы слегка приоткрыты. Она укрыта мягким пледом с изображением звезд. Свет ночника создает длинные, мягкие тени на стене. Атмосфера абсолютного покоя, счастья и завершенности....
Strong rule: style --- 3d Pixar ---. Крупный план рук отца, которые аккуратно и медленно поправляют край вязаного шерстяного одеяла нежно-голубого цвета вокруг малыша. Фокус направлен на текстуру ткани и осторожные, любящие движения пальцев. Освещение мягкое, рассеянное, исходящее от приоткрытой...
Strong rule: style --- Cinematic Realism, dramatic lighting, high cont... ---. Small cozy kitchen. Warm lamp light. 68-year-old Grandma Nina making pies, flour on her hands, steam rising from the table, warm golden tones. Character appearance reference (MUST match exactly): - Бабушка Нина: Strong...
Strong rule: style --- Реалистичная 3D-анимация, Cinematic Lighting, P... ---. Женщина-астролог слегка улыбается. В комнате становится заметно теплее по цвету. За панорамным окном город уже не холодный — мягкие, теплые вечерние огни. Character appearance reference (MUST match exactly): -...
Strong rule: style --- 3D Pixar ---. Крупный план лица Мирры в полумраке современной эзотерической студии. На фоне видны мерцающие свечи и антикварные зеркала, создающие глубокие тени. Освещение контрастное, боковое, подчеркивающее острые скулы и пронзительный взгляд. Атмосфера таинственная и...
Strong rule: style --- 3D Pixar ---. Зеркало в спальне с размытым отражением, ночным столиком, вазой цветов и приглушенным светом. Крупный план отражения в зеркале, слегка distorted. Мягкий лунный свет через занавески создает серебристые блики. Атмосфера меланхоличная и рефлексивная, полная...
Full-body character reference of the character shown in the reference film frame: exactly the same design, shape, proportions, colors, materials, wear and markings. Standing, front three-quarter view, the whole figure in frame, neutral dark studio background, soft even light, photorealistic,...
Strong rule: style --- 3D Pixar ---. Тихая детская Pixar 3D, пастельный интерьер, окно с diffused светом, кровать с подушками, атмосфера паузы. Мама с закрытыми глазами, Саи смотрит вверх с лёгким напряжением. Средний план, высокий угол сверху, мягкий свет создаёт интимные тени. Атмосфера...
Strong rule: style --- 3d Pixar ---. Экстремальный макроплан: крошечная, розовая ладошка младенца крепко обхватывает указательный палец взрослого мужчины. Фон полностью размыт, превращаясь в мягкие световые пятна боке. Свет падает сверху, подчеркивая каждую складочку и крошечный ноготок на руке...
Strong rule: style --- Реалистичная 3D-анимация, Cinematic Lighting, P... ---. Женщина-астролог сидит за столом. На планшете — деловая переписка, графики роста. Холодный свет начинает смешиваться с более нейтральным балансом. Character appearance reference (MUST match exactly): - Астролог: Strong...
Strong rule: style --- Реалистичная 3D-анимация, Cinematic Lighting, P... ---. Крупный план лица женщины-астролога. Тёплый, насыщенный янтарный свет. В глазах — лёгкая интрига. Фон слегка затемняется для концентрации внимания. Рядом в расфокусе ярко горит свеча. Character appearance reference...
Strong rule: style --- Реалистичная 3D-анимация, Cinematic Lighting, P... ---. Крупный план лица женщины-астролога. Холодный свет почти исчез, но на фоне ещё остаётся лёгкая синяя глубина. Взгляд серьёзный, проницательный. Character appearance reference (MUST match exactly): - Астролог: Strong...
Strong rule: style --- 3D Pixar ---. Elena sitting at a small kitchen table, staring blankly at a massive mountain of school notebooks, holding a steaming mug of coffee, gloomy morning atmosphere, 3D Pixar style. Character appearance reference (MUST match exactly): - Елена: A 35-year-old woman,...
Full-body character reference of the character shown in the reference film frame: exactly the same design, shape, proportions, colors, materials, wear and markings. Standing, front three-quarter view, the whole figure in frame, neutral dark studio background, soft even light, photorealistic,...
Recreate this exact cinematic film shot from the reference image as a brand-new photorealistic render. Match exactly: the composition and framing, the camera angle and lens, the lighting direction, the light rays and haze, the color grade, and the design of every object and character, including...
Il modus d'ediziun da Nano Banana Pro: dat in u plirs maletgs e descriva la midada, sco remplazzar in fund, fusiunar ina persuna ed in product en ina scena, midar il stil u reparar text sin in placat. El mantegna identitads e detagls stabels durant las ediziuns. Output en 1K, 2K u 4K en mintga proporziun usitada, web a basa opziunal, fin a quatter resultats per dumonda.
Invia u il num canonic u il num nativ, betg omaduas. Nums canonics
promptobligatori
num_imagesopziunal
num_outputs
seedopziunal
aspect_ratioopziunal
output_formatopziunal
safety_toleranceopziunal
image_urlsobligatori
images
system_promptopziunal
resolutionopziunal
limit_generationsopziunal
enable_web_searchopziunal
Ils parameters da datotecas acceptan ina URL publica https://, ina URI data: fin a 10 MB u il file_url d'ina chargiada. Datotecas
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "nano-banana-pro/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": 150,
"usd": "0.15",
"charged": 150,
"refunded": 0
},
"input": {
"prompt": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
"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"
}
}
Per agents AI: questa pagina sco Markdown è disponibla sut https://doitong.com/rm/developers/models/nano-banana-pro/edit.md. Tut ils models e las guidas: https://doitong.com/developers/llms.txt