
Kāore he ōrite. Whakamātauria “video”, “FLUX” rānei “webhooks”.
E uta ana ngā tauira…
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/mi/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"
}
}
Karangahia te tauira Nano Banana 2 Edit (nano-banana-2/edit) mā te Doitong API. Tuhinga mō ngā āpiha: https://doitong.com/mi/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"
}
Mēnā ko "queued" "running" rānei te tūnga whakautu, uiuitia GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 kia "succeeded"; kei outputs[].url ngā kōnae. Ko POST https://api.doitong.com/v1/quote/nano-banana-2/edit me taua tinana anō ka whakahoki i te utu tika i mua i te whakahaere.
Tēnei tono: $ 0.08 80 whiwhinga API Whakahaerehia ki tēnei whārangi
Tō kī API hou. Ka whakaaturia ināianei anake, ā, kua whakaurua kētia ki te waehere me te āpure kī API kei raro. Me huna: kaua rawa e waiho ki te waehere e whakahaere ana i roto i te pūtirotiro.
Ka hangaia ngā mana whakahaere mai i te aronuinga o te tauira. Ka whakahoungia te waehere me te utu ina whakarerekē koe.
/run/nano-banana-2/edit?wait=20
utu → $ 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
}
}
}
Ka noho tō kī ki tēnei pūtirotiro: ka tukuna ki te Doitong API anake, ā, ka tiakina ki te localStorage anake ina tohua e koe te Mahara. Tikina he kī API
Ngā mahi tūmatanui i hangaia ki Nano Banana 2 e te hapori Doitong. Whakamahia anō he tono mā te pāwhiri kotahi.
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Ko te aratau whakatika o Nano Banana 2: tukuna ngā whakaahua ka whakaahua i te panonitanga, waiho rānei ngā whakaahua ka tuku i tētahi ataata, kōnae oro, PDF rānei (kia 15 MB te mōrahi mō ia mea) hei horopaki hei whakaahua. Mai i te 0.5K ki te 4K te putanga, me ngā ōwehenga āhuatanga mai i te 1:8 ki te 8:1, he rapu tukutuku me te whakaaro nui kōwhiringa, tae atu ki ngā hua e whā mō ia tono.
Tukuna te ingoa tōmua, te ingoa taketake rānei, kaua e rua. Ngā ingoa tōmua
prompte hiahiatia ana
num_imageskōwhiringa
num_outputs
seedkōwhiringa
aspect_ratiokōwhiringa
output_formatkōwhiringa
safety_tolerancekōwhiringa
image_urlskōwhiringa
images
system_promptkōwhiringa
resolutionkōwhiringa
video_urlkōwhiringa
video
audio_urlkōwhiringa
audio
pdf_urlkōwhiringa
limit_generationskōwhiringa
enable_web_searchkōwhiringa
thinking_levelkōwhiringa
Mō ngā tawhā kōnae, whakamahia he URL tūmatanui https://, he URI data: tae atu ki te 10 MB, he file_url rānei o tētahi tukuake. Ngā kōnae
{
"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"
}
}
Mō ngā āpiha AI: kei te wātea tēnei whārangi hei Markdown ki https://doitong.com/mi/developers/models/nano-banana-2/edit.md. Ngā tauira me ngā aratohu katoa: https://doitong.com/developers/llms.txt