

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.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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.ru/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.ru/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.ru/v1/requests/REQUEST_ID?wait=20 finché non diventa "succeeded"; i file si trovano in outputs[].url. POST https://api.doitong.ru/v1/quote/nano-banana-pro con lo stesso body restituisce il prezzo esatto prima dell'esecuzione.
Questa richiesta: 0,15 $ 150 crediti API · ≈ 15,70 ₽ 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.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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.
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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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/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