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Shiba Inu Teacher Surreal Math Lesson

Shiba Inu Teacher Surreal Math Lesson AI Image Prompt

Prompt

Surreal photorealistic classroom scene with detailed chalkboard math lesson. Style: high-resolution realistic photo, slightly absurd internet meme tone, natural indoor classroom lighting, sharp chalk writing, 4:3 composition. Main subject: a humanoid Shiba Inu dog teacher standing at the front of a classroom, wearing a white button-down dress shirt tucked into dark gray slacks with a black belt, one hand in pocket, holding a thin metal pointer in the other hand and pointing toward equations on the chalkboard. Head: orange-and-white Shiba Inu head with upright ears; the central face area is covered by a flat opaque square censor block in tan beige, creating a comically overdone moderation effect. Customizable subject: Shiba Inu dog. Clothing: white dress shirt, dark gray slacks, black belt. Pose: confident lecturer pose, facing the students while pointing to the board. Setting: Japanese classroom lecture room. Foreground: backs of 5 seated students visible at the bottom edge, mostly dark hair, one student in a gray hoodie on the right, all looking toward the teacher. Furniture: small wooden teacher podium centered near the bottom with an open gray laptop on top. Background: large dark green chalkboard spanning the wall, metal chalk tray along the bottom, chalk eraser on the far right. Chalkboard: overall text style: white chalk handwriting in Japanese with mathematical notation, clean but hand-drawn, dense lecture notes. Main title: 定数係数の常微分方程式. Topic intro: 次のような常微分方程式を考える. Central equation: a_n y^(n) + a_{n-1} y^(n-1) + … + a_1 y' + a_0 y = 0. Note: ここで、a_n, a_{n-1}, …, a_0 は定数、a_n ≠ 0 とする. Sections count: 4. Sections: (1) 特性方程式: a_n r^n + a_{n-1} r^{n-1} + … + a_1 r + a_0 = 0; (2) 解の形: three bullet cases: distinct real roots r1, r2, …, rn; repeated root r of multiplicity m; complex conjugate roots α ± βi; example panel: 【例】: y'' − 3y' + 2y = 0; characteristic equation r^2 − 3r + 2 = 0; (r − 1)(r − 2) = 0; r = 1, 2; therefore y = C1 e^x + C2 e^{2x}; solution formulas: y = C1 e^{r1 x} + C2 e^{r2 x} + … + Cn e^{rn x}; y = (C1 + C2 x + … + Cm x^{m−1}) e^{rx}; y = e^{αx}(C1 cos βx + C2 sin βx). Composition: camera: student-eye-level view from the back of the classroom, medium-wide shot; framing: teacher slightly right of center, pointer angled diagonally left toward the characteristic equation, chalkboard fills most of the image; mood: serious academic lecture made absurd by the dog-headed teacher and censor square; quality: photorealistic, coherent perspective, realistic fabric, fur, chalk dust texture, classroom depth of field. Customizable text: constant-coefficient ordinary differential equations.

AI Image Content Analysis

Content: Structure: subject (dog teacher), setting (Japanese classroom), style (surreal realism + meme), composition (student-level medium-wide shot), lighting (natural indoor), color (dark green board, white chalk), material (fabric, fur), lens (4:3). Includes many customizable arguments (animal, outfit, topic, text).

Pros: Extremely detailed, many customizable arguments for personalization.

Cons: Overly complex may strain generation; dense chalkboard text may not render fully.

Reference image: No obvious reference-image dependency

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