Create Images Fast with Nano Banana 2 Lite
由 Google DeepMind · 2025 年发布 · 基于 Replicate 运行
5 free credits · no signup needed
Nano Banana 2 Lite is Google DeepMind's fastest image model - the lightweight sibling of Nano Banana 2, built for rapid creation at volume. It generates the same kind of text-accurate images the Nano family is known for - posters, logos, mockups, signage - but in a fraction of the time, which makes it ideal for exploring ideas, spinning up variations, and producing bulk assets. Prompt it the same way you would the flagship; when one concept graduates to a final, render that single image on the full Nano Banana 2 for maximum fidelity.
为什么选择 Nano Banana 2 Lite
Use Nano Banana 2 Lite when you're iterating: mood-boarding a campaign, generating a dozen poster directions, drafting app screens, or churning out social graphics on a deadline. The text stays legible - real words on your posters and mockups, not squiggles - and each generation comes back fast. Costs 3 credits per image. For the one concept you'll actually ship, re-generate it on Nano Banana 2 (also 3 credits) to squeeze out the last few percent of detail and typographic precision.
试试入门提示词
精选提示词,能在 Nano Banana 2 Lite 上得到出色结果。点击任意卡片,在预加载提示词与模型的编辑器中打开。
Instagram carousel cover, bold headline "5 MORNING HABITS", warm gradient, minimal icons
Sale banner, giant text "BLACK FRIDAY -40%", high-contrast red and black, modern sans-serif
Podcast cover art, title "Deep Work Daily", clean typographic layout, muted navy and gold
Event flyer, "SUMMER FEST 2026", playful display font, sunset palette, palm silhouettes
常见问题
- When should I use Lite instead of the full Nano Banana 2 for creation?
- Whenever you're generating more than one image. Lite's speed makes it the natural choice for exploration, variations and bulk output; reserve the flagship for the single final image where you want maximum detail. Both cost 3 credits and render text legibly.
- Can Nano Banana 2 Lite still put readable text on posters and logos?
- Yes - it inherits the Nano family's glyph-level text training, so headlines, prices and short labels come out as real words. For dense multi-line copy or exotic fonts, the flagship is marginally more precise.
- How fast is it really?
- Lite is Google's fastest image model - generations return in a fraction of the flagship's time. That's the whole point: iterate quickly, review, and only spend the extra time on the final.
对比其它生成模型
不同的需求需要不同的模型。这是 EdMyPic 上其它 AI 图像生成模型。
OpenAI 的图像模型 - -最佳指令遵循、清晰文字、自然语言式编辑。
BFL 的高端旗舰 - -最锋利的提示词遵循度和最细的细节。
清晰的文字、logo 和版式 - -Google DeepMind 在图像内可读文字方面的旗舰。
写实人像和产品照 - 皮肤、织物和自然光的最佳模型。
快速、多功能的文本到图像 - AI 图像生成的日常默认。
绘画感、插画感、风格化 - Stability AI 富有表现力的旗舰。