{"snapshotDate":"2026-10-20","releaseId":"465e0259274b1b15","data":{"id":"opennana-27872","sourceId":27872,"order":868,"titleZh":"频闪多重曝光多阶段运动轨迹描述","titleOriginal":"频闪多重曝光多阶段运动轨迹描述","category":"opennana","model":"ChatGPT","modelShort":"ChatGPT","modelGroup":"gpt","prompt":"1:1, inputs for sports and other viral topics  LAYOUT: Stroboscopic multi-exposure along curved trajectory | 5 phases overlapping with transparency decay | Motion vectors mapped as tension lines INPUT: [DYNAMIC_PROCESS] :: [BIOMECHANICAL_OR_PHYSICAL_PRINCIPLE] :: [PERFORMANCE_CONTEXT] SEMANTIC_INFERENCE_CHAIN: INFER(phase_1 FROM [DYNAMIC_PROCESS].initiation_state) INFER(phase_3 FROM [PRINCIPLE].peak_force_or_efficiency) INFER(phase_5 FROM [CONTEXT].resolution_or_impact) INFER(trajectory_curve FROM historical_motion_capture + physics_simulation) WEIGHTED_ARCHITECTURE: phase_n::1.0 * transparency_decay::0.82^(n-1) + (motion_blur_gradient::0.9 ^ stress_amplification::1.15) - (static_pose::0.7 + cartoon_speed_lines::0.8) SPATIAL_LAW: Trajectory follows cubic bezier | Phase spacing compresses at peak force | Negative space expands post-impact MATERIAL_OPTICS: Phase 1: Crisp edge, full opacity | Phase 3: Directional blur, subsurface stress glow | Phase 5: Fragmentation particles, atmospheric diffusion | Surface shows micro-deformation at contact points TYPOGRAPHY: Phase markers use technical indexing | Force vectors labeled with Newton/pascal values | Baseline follows trajectory tangent NEGATIVE: No anime speed lines, no frozen action clichés, no stock sports photography, no neon trails, no flat overlays","promptZh":"1:1，运动和其他热门话题的输入 布局：沿曲线轨迹的频闪多重曝光 | 5 个相位重叠且透明度衰减 | 运动矢量映射为张力线 输入：[动态过程] :: [生物力学或物理原理] :: [性能背景] 语义推理链：从 [动态过程].起始状态 推理 (阶段_1) 从 [原理].峰值力量或效率 推理 (阶段_3) 从 [背景].消解或影响 推理 (阶段_5) 从 历史运动捕捉 + 物理模拟 推理 (轨迹曲线) 加权架构：阶段_n::1.0 * 透明度衰减::0.82^(n-1) + (运动模糊梯度::0.9 ^ 应力放大::1.15) - (静态姿势::0.7 + 卡通速度线::0.8) 空间法则：轨迹遵循三次贝塞尔曲线 | 相位间距在峰值力量处压缩 | 负空间在冲击后扩展 材料光学：阶段 1：边缘清晰，全不透明度 | 阶段 3：定向模糊，次表面应力发光 | 阶段 5：碎片颗粒，大气扩散 | 表面在接触点显示微变形 排版：相位标记使用技术索引 | 力矢量标注有牛顿/帕斯卡值 | 基线遵循轨迹切线 负面：无动漫速度线，无冻结动作陈词滥调，无库存运动摄影，无霓虹轨迹，无扁平叠加","promptVariants":[{"text":"1:1, inputs for sports and other viral topics  LAYOUT: Stroboscopic multi-exposure along curved trajectory | 5 phases overlapping with transparency decay | Motion vectors mapped as tension lines INPUT: [DYNAMIC_PROCESS] :: [BIOMECHANICAL_OR_PHYSICAL_PRINCIPLE] :: [PERFORMANCE_CONTEXT] SEMANTIC_INFERENCE_CHAIN: INFER(phase_1 FROM [DYNAMIC_PROCESS].initiation_state) INFER(phase_3 FROM [PRINCIPLE].peak_force_or_efficiency) INFER(phase_5 FROM [CONTEXT].resolution_or_impact) INFER(trajectory_curve FROM historical_motion_capture + physics_simulation) WEIGHTED_ARCHITECTURE: phase_n::1.0 * transparency_decay::0.82^(n-1) + (motion_blur_gradient::0.9 ^ stress_amplification::1.15) - (static_pose::0.7 + cartoon_speed_lines::0.8) SPATIAL_LAW: Trajectory follows cubic bezier | Phase spacing compresses at peak force | Negative space expands post-impact MATERIAL_OPTICS: Phase 1: Crisp edge, full opacity | Phase 3: Directional blur, subsurface stress glow | Phase 5: Fragmentation particles, atmospheric diffusion | Surface shows micro-deformation at contact points TYPOGRAPHY: Phase markers use technical indexing | Force vectors labeled with Newton/pascal values | Baseline follows trajectory tangent NEGATIVE: No anime speed lines, no frozen action clichés, no stock sports photography, no neon trails, no flat overlays","type":"en","label":"英文提示词"},{"text":"1:1，运动和其他热门话题的输入 布局：沿曲线轨迹的频闪多重曝光 | 5 个相位重叠且透明度衰减 | 运动矢量映射为张力线 输入：[动态过程] :: [生物力学或物理原理] :: [性能背景] 语义推理链：从 [动态过程].起始状态 推理 (阶段_1) 从 [原理].峰值力量或效率 推理 (阶段_3) 从 [背景].消解或影响 推理 (阶段_5) 从 历史运动捕捉 + 物理模拟 推理 (轨迹曲线) 加权架构：阶段_n::1.0 * 透明度衰减::0.82^(n-1) + (运动模糊梯度::0.9 ^ 应力放大::1.15) - 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