刚刚！谷歌推出Nano Banana官方终极指南：六条保姆级权威提示教程，拿走不谢

直接和官方学习最顶级的nano banana 提示技巧，这比你看多少碎片文章和视频都强

Nano Banana 太火了，谷歌趁热打铁，刚刚推出了官方认证的的Nano Banana使用指南，指南一共有六条提示词模板和具体示例，可以在 Google AI Studio (ai.studio/banana) 中立即体验这些功能，或通过官方文档中的代码进行调用

不熟悉的同学可以速览一下Nano Banana（即 Gemini 2.5 Flash Image 图像模型） 的核心功能：

文生图 (Text-to-image): 从简单或复杂的文本描述中生成高质量图像

图+文生图 (编辑): 提供一张图片，通过文本指令添加、移除或修改元素，改变风格或调整色彩

多图生图 (合成与风格迁移): 使用多张输入图像来构图新场景，或将一张图像的风格迁移到另一张上

迭代优化: 通过多轮对话逐步优化图像，进行微调直至完美

文字渲染: 生成包含清晰、位置得当文字的图像，非常适合用于徽标、图表和海报

本指南将教会你如何编写有效的提示词 (prompt) 和指令，以充分发挥 nano banana 的潜力。这一切都始于一个基本原则：

描述场景，而非罗列关键词，nano banana 的核心优势在于其深度的语言理解能力。与一堆零散的关键词相比，一段叙事性的、富有描述力的段落几乎总能生成更优质、更连贯的图像

废话不多说，直接上干货

Nano Banana 六大提示词技巧 1. 创造照片级真实感场景

想要获得逼真的图像，要像摄影师一样思考。提及相机角度、镜头类型、光线和精致细节，将引导模型创造出照片级的效果

模板 :

一张照片级的[拍摄类型]照片，主体是[主体]，正在[动作或表情]，场景位于[环境]。由[光线描述]照亮，营造出[氛围]的氛围。使用[相机/镜头细节]拍摄，突出了[关键纹理和细节]。图像应为[宽高比]格式

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.

示例提示词:

一张照片级的特写肖像，主角是一位年迈的日本陶艺家，他脸上布满被阳光雕刻出的深深皱纹，带着温暖而会意的微笑。他正在仔细端详一个刚上釉的茶碗。背景是他那间充满阳光的乡村风格工作室。柔和的金色黄昏光线从窗户射入，照亮了黏土的细腻纹理。使用 85mm 人像镜头拍摄，背景柔和模糊（焦外成像）。整体氛围宁静而充满大师风范。竖向构图

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.

代码调用：

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()

要为项目创建贴纸、图标或设计素材，请明确说明所需的风格，并记得在需要时要求使用白色背景

模板 :

一张[风格]风格的贴纸，主体是[主体]，具有[关键特征]和[调色板]。设计应采用[线条风格]和[阴影风格]。背景必须为白色

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.

示例提示词 :

一张卡哇伊风格的贴纸，画的是一只快乐的小熊猫，戴着一顶小小的竹帽，正在咀嚼一片绿色的竹叶。设计采用粗大、清晰的轮廓线，赛璐璐风格的简单着色，以及鲜艳的调色板。背景必须为白色

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

代码调用：

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()

Gemini 非常擅长渲染文字。在提示词中清晰地写出文本内容、描述字体风格以及整体设计。

模板 :

为[品牌/概念]创建一个[图像类型]，包含文字“[要渲染的文本]”，字体为[字体风格]。整体设计应为[风格描述]，配色方案为[配色方案]

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].

示例提示词 :

为一家名为“The Daily Grind”的咖啡店设计一个现代、极简的标志。文字应采用干净、粗体的无衬线字体。设计中包含一个与文字无缝融合的、简约风格化的咖啡豆图标。配色方案为黑白。

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

代码调用：

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()

为电子商务、广告或品牌创建干净、专业的产品照片

模板 :

一张高分辨率、影棚光拍摄的产品照片，主体是[产品描述]，放置在[背景表面/描述]上。灯光采用[布光设置，如三点式柔光箱]，以实现[灯光目的]。相机角度为[角度类型]，以展示[特定功能]。效果超逼真，焦点清晰地对准[关键细节]。[宽高比]

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].

示例提示词 :

一张高分辨率、影棚光拍摄的产品照片，主体是一个极简主义风格的哑光黑陶瓷咖啡杯，放在一个抛光的混凝土地面上。灯光采用三点式柔光箱设置，旨在创造柔和、漫射的高光并消除刺眼的阴影。相机采用略微俯视的45度角拍摄，以展示其简洁的线条。效果超逼真，焦点清晰地对准从咖啡中升起的热气。方形图像

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.

代码调用：

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()

这种风格非常适合为网站、ppt或需要叠加文字的营销材料创建背景

模板:
一幅极简主义构图，画面中只有一个[主体]，位于画面的[右下角/左上角等位置]。背景是一块巨大的、空白的[颜色]画布，创造出大量的留白空间。光线柔和而微妙。[宽高比]。

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].

示例提示词 :

一幅极简主义构图，画面中只有一片精致的红色枫叶，位于画面的右下角。背景是一块巨大的、空白的米白色画布，为文字留下充足的留白空间。柔和的漫射光从左上方照来。方形图像。

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

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()

通过清晰的场景描述，逐帧创建引人入胜的视觉叙事，非常适合制作故事板、连环画或任何形式的连续艺术

模板 :

一个[艺术风格]的单格漫画。前景是[角色描述和动作]。背景是[场景细节]。画格中有一个[对话/标题框]，文字是“[文本]”。光线营造出[氛围]的氛围。[宽高比]。

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].

示例提示词:

一个单格漫画，采用粗粝的黑色电影艺术风格，配以高对比度的黑白墨水画。前景中，一名身穿风衣的侦探站在一盏闪烁的路灯下，雨水浸湿了他的肩膀。背景中，一家荒凉酒吧的霓虹灯招牌倒映在水坑里。顶部的标题框写着：“这座城市，秘密无处藏身。” 光线刺眼，营造出一种戏剧化而阴郁的氛围。横向构图。

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.

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()

参考：

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