スタジオで撮影された、リラックスしたプレミアムなファッションポートレート。自信に満ちた魅力的な笑顔のリアルな人間モデルが、等身大のフォトリアルな 3D アニメーションキャラクターである {argument name="animated character"default="Puss in Boots"} の肩に自然に腕を置いている。人間はオートミールベージュのニットセーター、ハイウエストのダークジーンズ、清潔な白いスニーカーを着用している。{argument name="animated character"default="Puss in Boots"} は、非常にリアルなジンジャーの毛並み、表情豊かな大きな目、そして彼のトレードマークである革の帽子、ブーツ、ベルトで描かれ、洗練された自信に満ちた姿勢で立っている。背景は清潔感のある温かみのあるトープまたはニュートラルなスタジオの背景。柔らかなスタジオ照明と繊細なリムライトが、毛並みの詳細な質感を際立たせ、被写体間の自然な一体感を生み出している。3/4 フレーム、ハイエンドファッション誌風。
プロダクトマーケティング - 長ぐつをはいたネコ 3D キャラクターとのファッションポートレート
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実在の人間モデルが、フォトリアリスティックな 3D アニメーション キャラクターである長靴をはいた猫と交流している様子をフィーチャーした、ハイエンドなファッション エディトリアル ポートレートを生成するためのプロンプト。プロンプトでは、モデルの顔が保持されていること、衣装（ニット セーター、ダーク ジーンズ）、長靴をはいた猫の詳細なレンダリング（毛皮の質感、特徴的な服装）、柔らかな照明を備えたクリーンなスタジオ設定が指定されています。
A complex, multi-step system prompt that instructs the AI to act as an elite book recommendation engine and kinetic sculpture designer. The AI must analyze a user-provided book (or image) for its 'vibe,' select four under-the-radar matching books, and then output a single image generation prompt describing a 2x2 grid of miniature wooden tabletop automatons, each representing one of the recommended books.
A multi-step workflow prompt sequence for Nano Banana Pro, designed to create a cohesive brand identity for a company named 'Lovart'. The steps cover generating the logo, creating design guidelines (color palette, font), and then applying that identity to various assets like application UI, website design, exhibition booth, and merchandise.
A prompt for generating an ultra-realistic 8K full-body portrait of Taylor Swift in professional attire, leaning against a gray studio wall. The unique element is the requirement to add a prominent, sharp vector portrait and text overlay (name and title) directly onto the wall, blending photographic realism with modern graphic design.
A template prompt designed to generate a poster-ready, professionally polished image of a favorite music star, requiring the user to replace the [MUSIC_STAR] placeholder. The full prompt is in the attached image (not provided).
A multi-step prompt designed for Nano Banana Pro to analyze three uploaded random objects, combine their features into a single absurd but patentable invention, and then output a 2x2 grid featuring technical patent drawings, a glossy product render, and a detailed marketing explanation.
A multi-step prompt designed to act as a literary recommendation engine and antique typewriter automaton builder. It instructs the AI to analyze a specified book (1984) and select four obscure, intellectually resonant books, then visualize them in a 2x2 grid featuring vintage typewriters and 3D paper sculptures of symbolic scenes.
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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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