

कोई मिलान नहीं मिला। “video”, “FLUX” या “webhooks” आज़माएँ।
मॉडल लोड हो रहे हैं…
nano-banana-pro
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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/hi/developers/docs/mcp)
claude mcp add --transport http doitong-models https://vit.doitong.com/api/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"
}
}
Nano Banana Pro मॉडल (nano-banana-pro) को Doitong API के ज़रिए कॉल करें। एजेंट के लिए दस्तावेज़: https://doitong.com/hi/developers/models/nano-banana-pro.md
POST https://vit.doitong.com/api/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"
}
यदि रिस्पॉन्स स्टेटस "queued" या "running" है, तो GET https://vit.doitong.com/api/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://vit.doitong.com/api/v1/quote/nano-banana-pro चलाने से रन से पहले सटीक कीमत मिलती है।
यह अनुरोध: $0.15 150 API क्रेडिट इसे इस पेज पर चलाएँ
आपकी नई API कुंजी। यह केवल अभी दिखाया गया है और कोड तथा नीचे दिए गए API कुंजी फ़ील्ड में पहले से मौजूद है। इसे गुप्त रखें: इसे कभी भी ब्राउज़र में चलने वाले कोड में न डालें।
प्रॉम्प्टCinematic 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
कंट्रोल मॉडल स्कीमा से जनरेट होते हैं। इन्हें बदलने पर कोड और कीमत अपडेट होती है।
/run/nano-banana-pro?wait=20
कोटेशन → $0.15
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nano-banana-pro?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Cinematic portrait of a young woman with long, silky dark brown hair, sitting and resting her chin on her hand, gazing softly off to the side with a gentle smile. She wears a deep crimson red flowy dress with puffed sleeves and a textured, crinkled fabric. Small floral pearl-and-crystal stud earrings. Dramatic low-key lighting: a single warm window light casting geometric window-shadow patterns on a dark wall, soft glow on her face, deep black background. Rosy cheeks, soft natural makeup, dreamy and romantic mood. Shallow depth of field, 85mm lens, ultra-detailed skin texture, rich contrast, moody studio photography, vertical 9:16",
"aspect_ratio": "9:16",
"resolution": "1K"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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
}
}
}
आपकी key इसी ब्राउज़र में रहती है: इसे केवल Doitong API को भेजा जाता है और केवल तभी (localStorage) में सेव किया जाता है जब आप Remember चुनते हैं। API कुंजी प्राप्त करें
Gemini-आधारित इमेज मॉडल जो चित्र बनाने से पहले प्रॉम्प्ट पर तर्क करता है, इसलिए पोस्टर, इन्फ़ोग्राफ़िक, मेनू और पठनीय टेक्स्ट वाले प्रोडक्ट शॉट्स केवल-डिफ्यूज़न मॉडल की तुलना में कहीं अधिक बार सही बनते हैं। 1K, 2K या 4K आउटपुट और कोई भी सामान्य आस्पेक्ट रेशियो चुनें, और वर्तमान तथ्यों के आधार पर चित्र बनाने के लिए वैकल्पिक रूप से वेब पर जानकारी खोजने दें। प्रति अनुरोध अधिकतम चार छवियाँ।
कैनोनिकल नाम या नेटिव नाम में से कोई एक भेजें, दोनों नहीं। कैनोनिकल नाम
promptआवश्यक
num_imagesवैकल्पिक
num_outputs
seedवैकल्पिक
aspect_ratioवैकल्पिक
output_formatवैकल्पिक
safety_toleranceवैकल्पिक
system_promptवैकल्पिक
resolutionवैकल्पिक
limit_generationsवैकल्पिक
enable_web_searchवैकल्पिक
{
"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://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
AI एजेंट के लिए: इस पेज का Markdown यहाँ है https://doitong.com/hi/developers/models/nano-banana-pro.md. सभी मॉडल और गाइड: https://doitong.com/developers/llms.txt