New: Nano Banana 2.1Try the model
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画像

画像編集

参照画像による背景、商品、スタイルの編集と Midjourney の操作。

約 1 分2 セクション

編集は指示です。変えることを先に書き、変えてはいけないことを続けます。多くの形容詞より参照画像の方が意図を正確に伝えられます。

実践の要点

速度、忠実度、解像度、制御性のどれを優先するかでモデルを選び、各結果のパラメータとバージョンを保存します。 nano-banana-*, gpt-image-2, wan2.7-image and midjourney — Image editing.

1 回の試行で変えるのは 1 点だけにします。良い出力を参照として残すと、次の反復で最も確実な出発点になります。

finished と failed は終端状態として扱います。polling または webhook を使い、生のエラーはサーバー側に保持し、利用者には安全なメッセージを表示してください。

プロンプトと API の例

text
Replace the overcast sky with a clear blue one. Keep the building, the
lighting on the facade and the framing exactly as they are.
The original living-room input supplied with the Google editing example; its generation prompt is not published.
The original living-room input supplied with the Google editing example; its generation prompt is not published.

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

text
Using the provided image of a living room, change only the blue sofa to be a
vintage, brown leather chesterfield sofa. Keep the rest of the room, including
the pillows on the sofa and the lighting, unchanged.
Nano Banana 2.1 changes only the sofa while retaining the room, pillows and lighting from the source.
Nano Banana 2.1 changes only the sofa while retaining the room, pillows and lighting from the source.

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

text
Put the chair from image 1 into the room from image 2. Match the window light
and cast a soft shadow on the floor. Do not change the room's furniture or
the chair's upholstery.
text
The person from the reference, now standing on a train platform at night,
three-quarter view, rain, sodium lighting. Keep their face, hair and jacket
identical to the reference.
text
Redraw image 1 in the visual style of image 2 — same palette, line weight and
grain. Keep the composition and subject of image 1 unchanged.
text
A ceramic mug in the masked area, same lighting and perspective as the rest of
the frame

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
{
"model": "z-image",
"input": {
"prompt": "Replace the overcast sky with a clear blue one, keep the lighting on the building consistent",
"urls": ["https://example.com/facade.jpg"]
}
}
json
{
"model": "wan2.7-image",
"input": {
"prompt": "Put the chair from image 1 into the room from image 2, matching the window light",
"urls": ["https://example.com/chair.png", "https://example.com/room.jpg"],
"size": "3:2"
}
}
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": "midjourney",
"input": {
"action": "imagine",
"prompt": "A weathered brass diving helmet on a workshop bench, volumetric dust",
"size": "1:1",
"version": "7",
"stylize": 300
}
}'
json
{
"code": 200,
"data": {
"taskId": "019ca8c4-3e17-7b55-9f10-cc2b6de0a8f4",
"status": "not_started",
"createdAt": "2026-02-28T13:07:45.000Z"
}
}
json
{
"code": 200,
"data": {
"taskId": "019ca8c4-3e17-7b55-9f10-cc2b6de0a8f4",
"status": "finished",
"files": [
{
"fileUrl": "https://storage.api-stock.com/generated/mj-grid-4c81.png",
"fileType": "image"
}
],
"createdTime": "2026-02-28T13:07:45.000Z"
}
}
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": "midjourney",
"input": {
"action": "upscale",
"parentTaskId": "019ca8c4-3e17-7b55-9f10-cc2b6de0a8f4",
"index": 2
}
}'
ts
const BASE = "https://api.api-stock.com/api/v1";
const KEY = process.env.API_STOCK_KEY!;
async function submit(input: Record<string, unknown>): Promise<string> {
const res = await fetch(`${BASE}/generation/create`, {
method: "POST",
headers: {
Authorization: `Bearer ${KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ model: "midjourney", input }),
});
const body = await res.json();
if (!res.ok) throw new Error(`${body.error.code}: ${body.error.message}`);
return body.data.taskId;
}
async function wait(taskId: string) {
for (;;) {
await new Promise((r) => setTimeout(r, 5_000));
const res = await fetch(`${BASE}/task/status/${taskId}`, {
headers: { Authorization: `Bearer ${KEY}` },
});
const body = await res.json().catch(() => null);
if (!res.ok) {
const message = body?.error?.message ?? `${res.status} ${res.statusText}`;
throw new Error(message);
}
const { data } = body;
if (data.status === "finished") return data;
if (data.status === "failed") throw new Error(data.errorMessage);
}
}
const gridId = await submit({
action: "imagine",
prompt:
"A weathered brass diving helmet on a workshop bench, volumetric dust",
size: "1:1",
version: "7",
stylize: 300,
});
await wait(gridId);
const upscaleId = await submit({
action: "upscale",
parentTaskId: gridId,
index: 2,
});
const upscaled = await wait(upscaleId);
console.log(upscaled.files[0].fileUrl); // → https://storage.api-stock.com/...
json
{
"model": "midjourney",
"input": {
"action": "pan",
"parentTaskId": "019ca8c4-3e17-7b55-9f10-cc2b6de0a8f4",
"index": 2,
"direction": "left"
}
}
json
{
"model": "midjourney",
"input": {
"action": "zoom",
"parentTaskId": "019ca8c4-3e17-7b55-9f10-cc2b6de0a8f4",
"index": 2,
"zoomRatio": 1.5
}
}
json
{
"model": "midjourney",
"input": {
"action": "modal",
"parentTaskId": "019ca8c4-3e17-7b55-9f10-cc2b6de0a8f4",
"index": 2,
"prompt": "Replace the bench with a slab of sea-worn granite",
"maskUrl": "https://example.com/mask.png"
}
}
json
{
"model": "midjourney",
"input": {
"action": "describe",
"imageUrls": ["https://example.com/reference.jpg"]
}
}
json
{
"model": "midjourney",
"input": {
"action": "blend",
"imageUrls": [
"https://example.com/texture-a.jpg",
"https://example.com/texture-b.jpg",
"https://example.com/texture-c.jpg"
],
"dimensions": "LANDSCAPE"
}
}
json
{
"code": 400,
"error": {
"message": "action \"variation\" requires index or customId",
"type": "BadRequest",
"code": "invalid_input"
}
}

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