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{ "image_generation": { "composition": { "type": "split comparison portrait", "l
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{ "image_generation": { "composition": { "type": "split comparison portrait", "l

提示词
{
 "image_generation": {
 "composition": {
 "type": "split comparison portrait",
 "layout": "vertical split center",
 "framing": "close-up face",
 "angle": "eye-level"
 },
 "subject": {
 "description": "same young woman shown in two skin conditions",
 "pose": "facing forward",
 "expression": "left side neutral tired, right side soft confident smile"
 },
 "appearance": {
 "hair": {
 "color": "dark brown",
 "style": "straight middle-parted"
 },
 "skin": {
 "left_side": "severe acne, pimples, redness, uneven texture, dull and oily skin",
 "right_side": "clear smooth glowing skin, even tone, healthy radiant look"
 }
 },
 "outfit": {
 "top": "cream knitted sweater"
 },
 "environment": {
 "setting": "car interior",
 "details": "soft daylight, brown seat, blurred outdoor greenery"
 },
 "lighting": {
 "type": "natural light",
 "effect": "left side slightly dull and flat, right side brighter and glowing"
 },
 "text": {
 "left_title": "Foods that ruin skin",
 "right_title": "Foods that save skin"
 },
 "left_foods": [
 "instant noodles",
 "fried snacks",
 "sugary sweets",
 "white bread",
 "pizza / fast food",
 "cold drinks",
 "ice cream",
 "packaged chips",
 "chocolate"
 ],
 "right_foods": [
 "sprouts",
 "methi seeds",
 "lemon water",
 "green tea",
 "amla",
 "almonds",
 "tomato",
 "cucumber",
 "leafy greens"
 ],
 "style": {
 "type": "social media comparison graphic",
 "vibe": "educational, clean contrast",
 "color_palette": "natural tones with strong visual difference"
 },
 "quality": {
 "resolution": "high",
 "detail": "sharp facial texture difference clearly visible"
 }
 }
}
分类
商品图
模型
Nano Banana 2
来源作者
xie underwood
浏览量323
来源 ID
1939
发布时间
2026年4月19日

使用说明

关于「{ "image_generation": { "composition": { "type": "split comparison portrait", "l」

这条提示词适合做什么?

「{ "image_generation": { "composition": { "type": "split comparison portrait", "l」AI 图片提示词,适用于 Nano Banana 2,分类:商品图。{ "image_generation": { "composition": { "t…

页面上方提供可复制的完整提示词正文与示例效果图,适合直接用于 AI 图片生成或在 Picva 中一键同款。

如何使用这条提示词

  1. 步骤 1

    打开提示词详情

    查看「{ "image_generation": { "composition": { "type": "split comparison portrait", "l」的示例图、分类与完整 Prompt 文本。

  2. 步骤 2

    复制提示词

    一键复制页面中的提示词正文,或在 Studio 中直接带入。

  3. 步骤 3

    选择模型(Nano Banana 2)

    优先使用 Nano Banana 2;如切换其他模型,可保留主体与构图,微调风格词。

  4. 步骤 4

    生成并导出

    在 Picva 一键生成同款,或导出到你的工作流继续编辑发布。

常见问题

「{ "image_generation": { "composition": { "type": "split comparison portrait", "l」是什么提示词?
这是一条可用于 Nano Banana 2 的图片生成提示词,属于「商品图」分类。页面提供完整 Prompt 文本、示例效果图,以及在 Picva 中一键生成同款的入口。
如何使用这条提示词生成图片?
复制页面中的提示词,或点击一键生成 / Studio。可直接粘贴到支持的图像模型,也可在 Picva 中结合参考图生成同款视觉效果。
这条提示词适合哪个模型?
页面标注模型为 Nano Banana 2。多数描述型提示词也可迁移到 GPT Image、Flux、Midjourney 等相近图像模型,必要时微调风格与构图词。
可以商用吗?需要注意什么?
提示词文本通常可复制用于创作,但最终图片是否可商用取决于你使用的模型条款、参考图版权以及生成内容本身。请遵守来源作者与平台规则。