Create Images Fast with Nano Banana 2 Lite
제작: Google DeepMind · 2025년 출시 · Replicate에서 실행
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.
Nano Banana 2 Lite을(를) 선택하는 이유
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.
스타터 프롬프트 시도
Nano Banana 2 Lite에서 좋은 결과를 내는 엄선된 프롬프트. 타일을 탭하면 프롬프트와 모델이 미리 로드된 편집기가 열립니다.
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
자주 묻는 질문
- 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.
다른 생성 모델과 비교
브리프가 다르면 모델도 달라야 합니다. EdMyPic의 AI 이미지 생성 모델 목록입니다.
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