谷歌nano banana官方最强Prompt模板来了！先收藏再说

【导读】nano banana爆火！网上看到的那些超强效果图是如何生成的呢？谷歌的官方Prompt模板终于来了！赶紧先收藏再说！

这几天爆火的nano banana，让更多人体验到AI对图像生成与处理的革命。

网友们玩疯了，开发出各类好玩的用法。

有用nano banana直接将照片生成手办模型的：

左右滑动查看

有人脑洞大开，让nano banana、Seedance、Kling联手，将梵高和蒙娜丽莎、戴珍珠耳环的少女等名画的人物，同时带到了今天的纽约中央公园里，开启了一段浪漫的邂逅。

还有人使用nano banana反过来带我们穿越回了中土世界。

视频以第一人称视角在马车上疾驰，穿越迥异的区域，充满了3A游戏大作般的史诗感。

看到网上流传的nano banana生成的以假乱真、脑洞大开的图片和视频，不知道你是否也开始尝试使用nano banana了呢？

同样是生成图片，有人一句话就出大片，有人写满满一屏幕词也不对版。

谷歌为了帮助大家快速上手，亲自下场为我们带来了nano banana官方最强Prompt模板！

甭管你暂时是否理解为什么这样写，先收藏起来试着套模板就对了！

其中的关键是，你要像讲故事一样写场景。

基于nano banana（Gemini 2.5 Flash Image），这6套Prompt模板覆盖了写实、贴纸、文字、产品、留白与分镜，直接套用就能高质量生图！

写实摄影

写实感强的照片，是离不开摄影师的精心巧思的。

要生成写实感强的图像，你得像摄影师一样思考。

你需要考虑机位、镜头类型、光线、细节。

将这些元素加入Prompt后，会引导模型朝更逼真的效果靠近。

即使你不是专业摄影师，只要按照自己的理解多尝试，也大概率会比未说明这些关键要素而直接生成的图片的效果要好。

示例模板：

A photorealistic [shot type] of [subject], [action or expression], set in [environment]. The scene is illuminated by [lighting description], creating a [mood] atmosphere. Captured with a [camera/lens details], emphasizing [key textures and details]. The image should be in a [aspect ratio] format.

模板大意：

一张写实风格的[镜头类型]，[主体]，[动作或表情]，场景设定在[环境]。画面由[光线描述]照明，营造出[情绪]氛围。使用[相机/镜头参数]拍摄，突出[关键材质与细节]。图像应为[纵横比]格式。

示例Prompt：

A photorealistic close-up portrait of an elderly Japanese ceramicist with deep, sun-etched wrinkles and a warm, knowing smile. He is carefully inspecting a freshly glazed tea bowl. The setting is his rustic, sun-drenched workshop. The scene is illuminated by soft, golden hour light streaming through a window, highlighting the fine texture of the clay. Captured with an 85mm portrait lens, resulting in a soft, blurred background (bokeh). The overall mood is serene and masterful. Vertical portrait orientation.

Prompt大意：

一张写实风格的特写人像：一位日本老陶艺家，脸上被岁月与阳光刻下的深深皱纹，露出温暖而睿智的微笑。他正仔细端详一个刚上釉的茶碗。场景位于他质朴、阳光充足的工作室。柔和的黄金时刻光线自窗外倾泻而入，凸显陶土的细腻纹理。使用85mm人像镜头拍摄，带来柔和的背景虚化（bokeh）。整体氛围宁静而老练。竖版人像构图。

生成的图片：

一张写实风格的日本老陶艺家特写人像

调用API生图示例Python代码：

from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO
client = genai.Client()
# Generate an image from a text prompt
response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents="A photorealistic close-up portrait of an elderly Japanese ceramicist with deep, sun-etched wrinkles and a warm, knowing smile. He is carefully inspecting a freshly glazed tea bowl. The setting is his rustic, sun-drenched workshop with pottery wheels and shelves of clay pots in the background. The scene is illuminated by soft, golden hour light streaming through a window, highlighting the fine texture of the clay and the fabric of his apron. Captured with an 85mm portrait lens, resulting in a soft, blurred background (bokeh). The overall mood is serene and masterful.",
)
image_parts = [
    part.inline_data.data
    for part in response.candidates[0].content.parts
    if part.inline_data
]
if image_parts:
    image = Image.open(BytesIO(image_parts[0]))
    image.save('photorealistic_example.png')
    image.show()

注意，上述代码需要你在第11行的contents中输入Prompt，在第22行的image.save()中输入你要保存时取的文件名。

后续其他调用API生图的代码仅需要修改这两处即可。

插图与贴纸

在生成贴纸、图标、插图、项目素材这类图片时，你需要先把风格说清楚。

如果有其他特殊需求，比如需要白底的话，你得明确在Prompt中写出。

示例模板：

A [style] sticker of a [subject], featuring [key characteristics] and a [color palette]. The design should have [line style] and [shading style]. The background must be white.

模板大意：

一张[风格]的[主体]贴纸，具有[关键特征]，采用[配色]。设计应当使用[线条风格]与[明暗/上色风格]。背景必须为白色。

示例Prompt：

A kawaii-style sticker of a happy red panda wearing a tiny bamboo hat. It's munching on a green bamboo leaf. The design features bold, clean outlines, simple cel-shading, and a vibrant color palette. The background must be white.

Prompt大意：

一张可爱风（kawaii）贴纸：一只开心的小熊猫戴着迷你竹叶帽，正咀嚼一片绿色竹叶。设计使用粗壮、干净的描边，简单的赛璐璐上色，配色鲜艳。背景必须为白色。

生成的图片：

一张可爱风（kawaii）的小熊猫贴纸

调用API生图示例Python代码：

from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO
client = genai.Client()
# Generate an image from a text prompt
response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents="A kawaii-style sticker of a happy red panda wearing a tiny bamboo hat. It's munching on a green bamboo leaf. The design features bold, clean outlines, simple cel-shading, and a vibrant color palette. The background must be white.",
)
image_parts = [
    part.inline_data.data
    for part in response.candidates[0].content.parts
    if part.inline_data
]
if image_parts:
    image = Image.open(BytesIO(image_parts[0]))
    image.save('red_panda_sticker.png')
    image.show()

文本渲染

nano banana在文本渲染这项任务上的表现是格外瞩目的。

你只需要把文字内容、字体风格（用描述性的词描述）、整体设计说明白，就可以产出质量很好的图片了。

示例模板：

Create a [image type] for [brand/concept] with the text "[text to render]" in a [font style]. The design should be [style description], with a [color scheme].

模板大意：

为[品牌/概念]创建一张[图像类型]，其中包含文本「[要渲染的文本]」，使用[字体风格]。设计应为[风格描述]，并采用[配色方案]。

示例Prompt：

Create a modern, minimalist logo for a coffee shop called 'The Daily Grind'. The text should be in a clean, bold, sans-serif font. The design should feature a simple, stylized icon of a coffee bean seamlessly integrated with the text. The color scheme is black and white.

Prompt大意：

为一家名为「The Daily Grind」的咖啡店设计一个现代、极简的Logo。文字使用干净、粗体的无衬线字体。设计带有一个简洁、风格化的咖啡豆图标，并与文字无缝融合。配色为黑白。

生成的图片：

为一家名为「The Daily Grind」的咖啡店生成的现代极简风Logo

调用API生图示例Python代码：

from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO
client = genai.Client()
# Generate an image from a text prompt
response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents="Create a modern, minimalist logo for a coffee shop called 'The Daily Grind'. The text should be in a clean, bold, sans-serif font. The design should feature a simple, stylized icon of a a coffee bean seamlessly integrated with the text. The color scheme is black and white.",
)
image_parts = [
    part.inline_data.data
    for part in response.candidates[0].content.parts
    if part.inline_data
]
if image_parts:
    image = Image.open(BytesIO(image_parts[0]))
    image.save('logo_example.png')
    image.show()

商业摄影

为品牌打广告时，打造一个干净、专业的产品照通常是一个比较不错的选择。

商业感=干净背景+可控布光+展示卖点的机位。

示例模板：

A high-resolution, studio-lit product photograph of a [product description] on a [background surface/description]. The lighting is a [lighting setup, e.g., three-point softbox setup] to [lighting purpose]. The camera angle is a [angle type] to showcase [specific feature]. Ultra-realistic, with sharp focus on [key detail]. [Aspect ratio].

模板大意：

一张高分辨率、影棚布光的[产品描述]产品照，置于[背景表面/描述]上。灯光为[布光设置，如三点柔光箱布光]，用于[照明目的]。机位为[角度类型]，以展示[特定卖点]。超写实，对[关键细节]进行锐利对焦。[纵横比]。

示例Prompt：

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.

Prompt大意：

一张高分辨率、影棚布光的产品照：一只极简风的消光黑陶瓷咖啡杯，摆放在抛光的混凝土表面上。灯光为三点柔光箱布光，营造柔和的高光并消除硬阴影。机位为略抬高的 45 度角，凸显其干净的线条。超写实，对咖啡升起的蒸汽进行锐利对焦。方形图像。

生成的图片：

一张高分辨率、影棚布光的极简黑色陶瓷咖啡杯产品照

调用API生图示例Python代码：

from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO
client = genai.Client()
# Generate an image from a text prompt
response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents="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.",
)
image_parts = [
    part.inline_data.data
    for part in response.candidates[0].content.parts
    if part.inline_data
]
if image_parts:
    image = Image.open(BytesIO(image_parts[0]))
    image.save('product_mockup.png')
    image.show()

极简主义与留白设计

极简主义留白设计，非常适合为网站、演示或营销素材创建背景，方便后面再在图片上叠加文字。

示例模板：

A minimalist composition featuring a single [subject] positioned in the [bottom-right/top-left/etc.] of the frame. The background is a vast, empty [color] canvas, creating significant negative space. Soft, subtle lighting. [Aspect ratio].

模板大意：

一幅极简构图，画面中只有一个[主体]，位于画面[右下角/左上角等]。背景是一整片空旷的[颜色]纯色画布，创造显著留白。柔和、克制的光线。[纵横比]。

示例Prompt：

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.

Prompt大意：

一幅极简构图：一片精致的红色枫叶位于画面右下角。背景是一整片空旷的米白色纯色画布，为文字留出大量留白。来自左上方的柔和、漫射光。方形图像。

生成的图片：

一幅极简构图：一片精致的红色枫叶

调用API生图示例Python代码：

from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO
client = genai.Client()
# Generate an image from a text prompt
response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents="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.",
)
image_parts = [
    part.inline_data.data
    for part in response.candidates[0].content.parts
    if part.inline_data
]
if image_parts:
    image = Image.open(BytesIO(image_parts[0]))
    image.save('minimalist_design.png')
    image.show()

漫画

你可以通过聚焦清晰的场景描述，一格一格地创作吸引人的视觉叙事。

这种方式非常适合做漫画、故事板等图片。

示例模板：

A single comic book panel in a [art style] style. In the foreground, [character description and action]. In the background, [setting details]. The panel has a [dialogue/caption box] with the text "[Text]". The lighting creates a [mood] mood. [Aspect ratio].

模板大意：

一格[艺术风格]的漫画分镜。前景中，[人物描述与动作]。背景中，[环境细节]。画面包含一个[对白/旁白框]，内容为「[文本]」。用光营造[情绪]氛围。[纵横比]。

示例Prompt：

A single comic book panel in a gritty, noir art style with high-contrast black and white inks. In the foreground, a detective in a trench coat stands under a flickering streetlamp, rain soaking his shoulders. In the background, the neon sign of a desolate bar reflects in a puddle. A caption box at the top reads "The city was a tough place to keep secrets." The lighting is harsh, creating a dramatic, somber mood. Landscape.

Prompt大意：

一格粗粝的黑色电影风漫画，高反差黑白墨线。前景中，一位穿风衣的侦探站在闪烁的路灯下，雨水打湿了他的双肩。背景中，一家荒凉酒吧的霓虹招牌倒映在水坑里。顶部的旁白框写着：「在这座城市，想守住秘密并不容易。」用光强硬，营造戏剧而沉郁的氛围。横向画幅。

生成的图片：

一格粗粝的黑色电影风漫画分镜

调用API生图示例Python代码：

from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO
client = genai.Client()
# Generate an image from a text prompt
response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents="A single comic book panel in a gritty, noir art style with high-contrast black and white inks. In the foreground, a detective in a trench coat stands under a flickering streetlamp, rain soaking his shoulders. In the background, the neon sign of a desolate bar reflects in a puddle. A caption box at the top reads \"The city was a tough place to keep secrets.\" The lighting is harsh, creating a dramatic, somber mood. Landscape.",
)
image_parts = [
    part.inline_data.data
    for part in response.candidates[0].content.parts
    if part.inline_data
]
if image_parts:
    image = Image.open(BytesIO(image_parts[0]))
    image.save('comic_panel.png')
    image.show()

有了以上谷歌官方的强大模板，人人都可以自己创造出高质量图片了！

先收藏再说，有空了快去亲自试试吧！

参考资料：

https://x.com/googleaistudio/status/1962957615262224511