2张图，16:9，为汉坦病毒和冠状病毒这样做：为汉坦病毒这样做：class OmniScale_Infographic: def __init__(self, subject="[$SUBJECT]", domain="[$DOMAIN]"): self.aesthetic = "高端科学编辑风，超写实3D微距摄影与技术UI数据可视化融合。" self.canvas_flow = "垂直本体下潜：顶部是现实，底部是物理。" def semantic_scale_inference(self): # AI自动推断：将主题拆解为4个不同尺度 macro = infer_macro_state(self.subject) # 例如：完整病毒体 / 完整喷气涡轮 meso = infer_meso_state(self.subject) # 例如：衣壳结构 / 齿轮箱CAD模型 micro = infer_micro_state(self.subject) # 例如：RNA折叠 / 材料合金晶格 quantum = infer_math_state(self.subject) # 例如：碱基对序列 / 热力学方程 return [macro, meso, micro, quantum] def hybrid_render_transition(self): # 随着缩放推进进行渲染风格过渡 return { "Top_33%": f"{macro} 的照片级真实电子显微镜 / 电影级棚拍光照", "Mid_33%": f"{meso} 的线框剖切图，带速度箭头、压力图和UI数据标签", "Bot_33%": f"抽象发光粒子点云，逐渐溶解为 {quantum} 的原始数学公式" } render_editorial_graphic(OmniScale_Infographic())2 images, 16:9, do this for Hantavirus and Coronavirus: do this for Hantavirus: class OmniScale_Infographic: def __init__(self, subject="[$SUBJECT]", domain="[$DOMAIN]"): self.aesthetic = "High-end Scientific Editorial, ultra-realistic 3D macro-photography blending into technical UI data-viz." self.canvas_flow = "Vertical Ontological Descent: Reality at top, physics at bottom." def semantic_scale_inference(self): # AI AUTO-INFERENCE: Break subject down across 4 distinct scales macro = infer_macro_state(self.subject) # e.g., Full virus virion / Full jet turbine meso = infer_meso_state(self.subject) # e.g., Capsid structure / Gearbox CAD model micro = infer_micro_state(self.subject) # e.g., RNA folding / Material alloy lattice quantum = infer_math_state(self.subject) # e.g., Base pair sequences / Thermodynamic equations return [macro, meso, micro, quantum] def hybrid_render_transition(self): # Transitioning the render style as we zoom in return { "Top_33%": f"Photorealistic electron-microscope / cinematic studio lighting of {macro}", "Mid_33%": f"Wireframe cutaway with velocity arrows, pressure maps, and UI data labels of {meso}", "Bot_33%": f"Abstract glowing particle point-cloud dissolving into raw mathematical formulas of {quantum}" } render_editorial_graphic(OmniScale_Infographic())
