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Ein Prompt, der in Googles Opal verwendet wird, um das LLM anzuweisen, die strukturelle Komposition (Storyboard/Layout) für einen 4-Panel-Manga zu erstellen, der dann zur eigentlichen Bilderzeugung an Nano Banana Pro übergeben wird.
A user describes generating a 4-panel manga using Nano Banana Pro about the history of GE's financial business, from entry to withdrawal. The process involved asking the LLM for the flow of events and then instructing it to summarize it into a 4-panel format.
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 text prompt designed for an LLM or video generation model (like Seedance 2.0/Sora 2) to create a highly dramatic historical scene featuring intense dialogue, emotional conflict, and character revelation. The scene focuses on two characters, Xiao Jingheng and Shen Qingtang, discussing their shared history of reincarnation and failure.
A user describes generating a 4-panel manga using Nano Banana Pro about the history of GE's financial business, from entry to withdrawal. The process involved asking the LLM for the flow of events and then instructing it to summarize it into a 4-panel format.
A complex prompt instructing the AI to first use search to gather information about the Gemini 3 Flash launch, then write a formatted article with headings, and finally generate an image of the article as a two-page spread in a glossy magazine, complete with a custom cover ('Pro Bananas').
A detailed LLM prompt designed to generate a comprehensive 7-day travel itinerary for a trip to Japan, including specific cities, activities, and logistical details. This prompt is used to compare the performance of different language models like ChatGPT and Nano banana pro.
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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, Authentication-derived identifiers, Browsing and interaction 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, Authentication-derived 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, 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, 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, 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 identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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