

Nessuna corrispondenza. Prova “video”, “FLUX” o “webhooks”.
Caricamento dei modelli…
nano-banana-pro
# 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?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"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", 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/it/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",
"input": {
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}
}
Chiama il modello Nano Banana Pro (nano-banana-pro) tramite Doitong API. Documentazione per gli agenti: https://doitong.com/it/developers/models/nano-banana-pro.md
POST https://api.doitong.com/v1/run/nano-banana-pro?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}
Se lo stato della risposta è "queued" o "running", interroga GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 finché non diventa "succeeded"; i file si trovano in outputs[].url. POST https://api.doitong.com/v1/quote/nano-banana-pro con lo stesso body restituisce il prezzo esatto prima dell'esecuzione.
Questa richiesta: 0,15 $ 150 crediti API Esegui in questa pagina
La tua nuova chiave API. Viene mostrata solo ora ed è già presente nel codice e nel campo della chiave API qui sotto. Mantienila segreta: non inserirla mai nel codice eseguito in un browser.
PromptCinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16
I controlli vengono generati dallo schema del modello. Il codice e il prezzo si aggiornano mentre li modifichi.
/run/nano-banana-pro?wait=20
preventivo → 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?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"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", 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",
"input": {
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
},
"wait_seconds": 20
}
}
}
La tua chiave rimane in questo browser: viene inviata solo al Doitong API e salvata in localStorage solo se selezioni Ricorda. Ottieni una chiave API
Lavori pubblici creati con Nano Banana Pro dalla community di Doitong. Riutilizza un prompt con un clic.
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 --- 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...
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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...
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...
Strong rule: style --- 3D Pixar ---. Общий план детской комнаты. Кроватка Алисы стоит в самом центре как островок тишины. Вокруг нее — настоящий вихрь из родителей, подгузников, бутылочек и детской одежды. Мама и папа застыли в динамичных, смешных позах, сталкиваясь друг с другом. Освещение...
Un modello di immagini basato su Gemini che ragiona sul prompt prima di disegnare, perciò poster, infografiche, menu e immagini di prodotti con testo leggibile risultano corretti molto più spesso rispetto ai modelli basati solo sulla diffusione. Scegli output 1K, 2K o 4K e qualsiasi proporzione comune, consentendo facoltativamente al modello di cercare informazioni sul web per ancorare l'immagine a fatti attuali. Fino a quattro immagini per richiesta.
Invia il nome canonico oppure il nome nativo, non entrambi. Nomi canonici
promptobbligatorio
num_imagesfacoltativo
num_outputs
seedfacoltativo
aspect_ratiofacoltativo
output_formatfacoltativo
safety_tolerancefacoltativo
system_promptfacoltativo
resolutionfacoltativo
limit_generationsfacoltativo
enable_web_searchfacoltativo
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "nano-banana-pro",
"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": "A minimalist poster for a jazz night called \"Blue Hour\", a saxophone silhouette against a deep blue sky, bold sans-serif title",
"aspect_ratio": "3:4",
"resolution": "2K"
},
"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 gli agenti AI: questa pagina in Markdown è disponibile all'indirizzo https://doitong.com/it/developers/models/nano-banana-pro.md. Tutti i modelli e le guide: https://doitong.com/developers/llms.txt