New: Nano Banana 2.1Try the model
API Stock

画像

画像生成

モデル、プロンプト、サむズ、反埩を䜿っお安定した画像を䜜る方法。

箄 1 分2 セクション

本番甚の画像は、明確な意図、䞻題、決めた圢匏から始たりたす。色、質感、スタむルが重芁なら、圢容詞の列挙より参照画像を䜿いたす。

実践の芁点

速床、忠実床、解像床、制埡性のどれを優先するかでモデルを遞び、各結果のパラメヌタずバヌゞョンを保存したす。 nano-banana-*, gpt-image-2, z-image and seedream-* — Image generation.

1 回の詊行で倉えるのは 1 点だけにしたす。良い出力を参照ずしお残すず、次の反埩で最も確実な出発点になりたす。

finished ず failed は終端状態ずしお扱いたす。polling たたは webhook を䜿い、生の゚ラヌはサヌバヌ偎に保持し、利甚者には安党なメッセヌゞを衚瀺しおください。

プロンプトず API の䟋

text
A minimalist composition featuring a single, delicate red maple leaf positioned
in the bottom-right of the frame. The background is a vast, empty off-white
canvas, creating significant negative space for text. Soft, diffused lighting
from the top left. Square image.
Nano Banana 2.1 keeps the subject in the bottom-right and leaves a genuinely usable field for typography.
Nano Banana 2.1 keeps the subject in the bottom-right and leaves a genuinely usable field for typography.

Source: Google AI for Developers, used under CC BY 4.0; format and dimensions adapted.

text
A high-resolution, studio-lit product photograph of a minimalist ceramic coffee
mug in matte black, presented on a polished concrete surface. The lighting is a
three-point softbox setup designed to create soft, diffused highlights and
eliminate harsh shadows. The camera angle is a slightly elevated 45-degree shot
to showcase its clean lines. Ultra-realistic, with sharp focus on the steam
rising from the coffee. Square image.
Nano Banana 2.1 turns lighting setup, surface and camera angle into a clean commercial product shot.
Nano Banana 2.1 turns lighting setup, surface and camera angle into a clean commercial product shot.

Source: Google AI for Developers, used under CC BY 4.0; format and dimensions adapted.

text
A photo of a glossy magazine cover, the minimal blue cover has the large bold
words Nano Banana. The text is in a serif font and fills the view. No other
text. In front of the text there is a portrait of a person in a sleek and
minimal dress. She is playfully holding the number 2, which is the focal point.
Put the issue number and "Feb 2026" date in the corner along with a barcode. The
magazine is on a shelf against an orange plastered wall, within a designer store.
Nano Banana 2.1 renders a structured magazine cover with a large serif title, issue date and barcode.
Nano Banana 2.1 renders a structured magazine cover with a large serif title, issue date and barcode.

Source: Google AI for Developers, used under CC BY 4.0; format and dimensions adapted.

text
Mascot character for a developer tool: a friendly otter wearing a small
backpack, vector illustration, thick outlines, limited palette of teal and
sand, plain background
text
Abstract geometric background, overlapping translucent planes in indigo and
amber, soft grain, no text

About these samples. Ready-made examples are copied to our own storage only when their source permits reuse. The exact prompt appears above each result, and the original source and license are linked below the media.

json
{
"code": 200,
"data": {
"taskId": "019ca8b2-77d1-7a04-8c2e-15f9b0d4a6e1",
"status": "finished",
"files": [
{
"fileUrl": "https://storage.api-stock.com/generated/img-1a.png",
"fileType": "image"
},
{
"fileUrl": "https://storage.api-stock.com/generated/img-1b.png",
"fileType": "image"
},
{
"fileUrl": "https://storage.api-stock.com/generated/img-1c.png",
"fileType": "image"
},
{
"fileUrl": "https://storage.api-stock.com/generated/img-1d.png",
"fileType": "image"
}
],
"createdTime": "2026-02-28T12:41:02.000Z"
}
}
sh
curl -X POST https://api.api-stock.com/api/v1/generation/create \
-H "Authorization: Bearer sk-your-key" \
-H "Content-Type: application/json" \
-d '{
"model": "nano-banana-2",
"input": {
"prompt": "A brass orrery on a walnut desk, single window light, shallow depth of field",
"size": "3:2",
"resolution": "2K"
}
}'
json
{
"code": 200,
"data": {
"taskId": "019ca8b2-77d1-7a04-8c2e-15f9b0d4a6e1",
"status": "not_started",
"createdAt": "2026-02-28T12:41:02.000Z"
}
}
json
{
"model": "gpt-image-2",
"input": {
"prompt": "A brass orrery on a walnut desk, single window light",
"size": "3:2",
"resolution": "2k",
"quality": "high"
}
}
json
{
"model": "midjourney",
"input": {
"action": "imagine",
"prompt": "A brass orrery on a walnut desk, single window light",
"size": "3:2",
"version": "7",
"stylize": 250,
"chaos": 15,
"speed": "relax"
}
}
ts
const BASE = "https://api.api-stock.com/api/v1";
const KEY = process.env.API_STOCK_KEY!;
type TaskFile = { fileUrl: string; fileType: "image" | "video" | "music" };
async function generateImage(prompt: string): Promise<string[]> {
const create = await fetch(`${BASE}/generation/create`, {
method: "POST",
headers: {
Authorization: `Bearer ${KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "seedream-5-0-lite",
input: { prompt, size: "1:1", resolution: "2K", outputFormat: "png" },
}),
});
const created = await create.json();
if (!create.ok) {
throw new Error(`${created.error.code}: ${created.error.message}`);
}
const taskId: string = created.data.taskId;
const deadline = Date.now() + 10 * 60_000;
while (Date.now() < deadline) {
await new Promise((r) => setTimeout(r, 3_000));
const res = await fetch(`${BASE}/task/status/${taskId}`, {
headers: { Authorization: `Bearer ${KEY}` },
});
const body = await res.json().catch(() => null);
if (!res.ok) {
if (res.status === 429) {
const retryAfter = Number(res.headers.get("Retry-After") ?? 3);
await new Promise((r) => setTimeout(r, retryAfter * 1000));
continue;
}
const message = body?.error?.message ?? `${res.status} ${res.statusText}`;
throw new Error(message);
}
const { data } = body;
if (data.status === "finished") {
return (data.files as TaskFile[]).map((f) => f.fileUrl);
}
if (data.status === "failed" || data.status === "expired") {
throw new Error(data.errorMessage);
}
}
throw new Error(`timed out waiting for ${taskId}`);
}
const urls = await generateImage("Isometric cutaway of a lighthouse");
console.log(urls.length); // → 1
json
{
"code": 400,
"error": {
"message": "Resolution \"3K\" is not supported by model seedream-4-5",
"type": "BadRequest",
"code": "invalid_input"
}
}
json
{
"code": 200,
"data": {
"taskId": "019ca8b2-77d1-7a04-8c2e-15f9b0d4a6e1",
"status": "failed",
"createdTime": "2026-02-28T12:41:02.000Z",
"errorMessage": "This generation may violate our content policy. Please try a different prompt."
}
}

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