스토리 생성 프롬프트 ①↓↓ (Gemini3"사고 모드" 전용, nanobabananapro 불필요)
"{argument name="story theme" default="매일 한 시간씩 부업을 시작하여 한 달에 100만 엔을 벌어 회사 생활을 그만두는 바쁜 직장인"}에 대한 이야기를 1000자 내외로 작성해 주세요."
이게 전부입니다.
원하는 이야기로 텍스트를 변경하세요.
프롬프트 ②↓↓ (Gemini3"사고 모드" + nanobabananapro)
"다음 텍스트를 사용하여 풍성한 느낌의 4컷 만화를 만들어 주세요. 디자인 톤앤매너는 {argument name="design style" default="팝하고 귀여운 그림체, 캐릭터, 패널 레이아웃"}으로 해주세요."
→여기에 프롬프트 ①로 만든 스토리를 붙여넣으세요←
*이 게시물처럼 4개의 개별 4컷 만화로 나누려면 스토리를 4부분으로 나누고 각 부분을 프롬프트 ②를 사용하여 Gemini3 + nanobabananapro에 4번 제출하세요.
만화 / 스토리보드 - Gemini 3 스토리 생성 및 Nano Banana Pro 만화 생성
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4컷 만화를 만들기 위한 2단계 프롬프트 시퀀스입니다. 첫 번째 프롬프트는 Gemini 3(‘사고 모드’)가 스토리를 생성하도록 하는 것입니다. 두 번째 프롬프트는 생성된 스토리 텍스트를 사용하고 Gemini 3 + Nano Banana Pro에 귀엽고 팝아트 스타일의 풍부한 4컷 만화를 만들도록 지시하며, 캐릭터 및 패널 레이아웃을 지정합니다.
This prompt is designed for the 'Gemini Nano Banana Pro 3.0' model, specifically for generating content related to the 'Stranger Things' theme. The prompt instructs the model to create a story or scenario where a {argument name="character name" default="young boy"} discovers a mysterious {argument name="object" default="glowing orb"} in the woods, setting the stage for a supernatural adventure.
An extensive system prompt for Gemini, acting as a 'Professional Manga Writer' and 'AI Art Director,' designed to generate a 10-page full-color manga using NanoBananaPro. The prompt includes strict rules for consistency, such as fixing character and art style definitions across all pages, mandatory use of Japanese language, 9:16 vertical aspect ratio, and explicit instructions for text rendering (dialogue and sound effects) within the image. It also mandates a specific panel layout (4-8 panels per page) and story structure (hook on Page 1, punchline on Page 10).
A prompt for generating a 4-part story and corresponding images about three primitive men encountering a mobile phone, maintaining character consistency and featuring emotional highs and lows, ending happily.
A highly detailed, multi-panel prompt for Nano Banana Pro designed to create a sequential sci-fi space drama story in a 2x2 grid. The narrative follows a tough female bounty hunter accepting a job and preparing for liftoff from a galactic outpost. The prompt enforces character and environment consistency across all panels and specifies cinematic, photorealistic rendering with dramatic lighting (Blade Runner meets The Mandalorian style).
A story prompt designed to instruct an AI (Nano Banana 2 in Firefly) to read the opening of a specified novel and visually retell the beginning scene across five manga panels (one large, four small), using a classic black and white manga style with expressive ink lines.
A prompt used to generate a manga story titled 'One Person and Three Animals' using Google Nano Banana. The story follows a solo adventurer who successively recruits companion animals, drawing inspiration from the Momotaro folk tale.
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Browsing and interaction data, Non-precise location data, Precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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