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请根据所提供的内容，并遵循以下指南，创建一个卡通风格的信息图：
采用手绘插画风格，横向布局（16:9 宽高比）
添加少量简单的卡通元素、图标或可识别的人物，以增强视觉趣味性和记忆点
如果内容包含敏感或受版权保护的人物，请用视觉上相似的替代品替换；不要拒绝创建插画
所有图像和文本必须严格遵循手绘风格，避免写实视觉元素
信息应简洁明了，突出关键词和核心概念。使用充足的留白来清晰强调重点
除非另有明确说明，否则请使用与提供内容相同的语言或中文
请使用 nano banana pro 根据以下提供的内容创建图像。
<{argument name="content"default="Replace this entirely with the extracted AI comic production workflow text from the previous step"}>
信息图 / 教育视觉图 - AI 漫画制作工作流程和信息图表提示
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本条目介绍了一种学习复杂主题（例如 AI 漫画制作）的两步工作流程：首先使用 AI 工具从视频中提取完整的文字记录和摘要，然后使用 Gemini Pro 和特定提示，根据提取的文本生成具有视觉吸引力的手绘风格信息图。该提示专为 Nano Banana Pro 输出而设计。
A structured prompt template for generating images that retell history using LEGO-style plastic construction blocks. It defines a workflow for creating a macro toy photograph of a minifigure version of an inventor ({argument name="inventor" default="[INSERT INVENTOR]"}) next to their greatest invention.
This is a versatile prompt designed to generate a clean, top-to-bottom exploded breakdown image of any uploaded product or object, such as food, watches, or general products. It is intended to be part of a workflow that later uses the generated image and the original product image to create an 'Assemble → Exploded → Assemble' video using tools like Kling O1.
A user describes their workflow for creating high-quality Nanobanana prompts using a custom tool. The process involves defining the subject (e.g., polar bear and panda on skates), generating the initial image, performing detailed annotation (labeling parts like pose, background, face, clothing) based on file names, and finally adding compositional and color information for the final generation. This highlights the importance of detailed language specification for effective prompting.
A brief prompt requirement for generating a 3x3 storyboard grid using a custom prompt workflow with movie-genre guidance, specifying that the output must be exported and polished at 4K resolution.
An instruction for using Nano Banana to maintain facial and clothing consistency across multiple shots (jump cuts) by uploading source images for the face and the scene (like a staircase shot). This is a workflow instruction that functions as a prompt.
Describes a 2-step workflow, where step 1 is to use Nano Banana Pro to turn a hand-drawn image into a cartoon character; this is effectively a short high-level prompt.
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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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