
Stroboscopic Multi-Exposure Sports Action
A technical prompt for capturing a sports movement, like a tennis serve, using stroboscopic multi-exposure effects and physics-based motion vectors.
This is a gpt-image-2 prompt case for 其他灵感. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.
Prompt
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16:9 Layout: Strobe Multiple Exposures Along a Curved Trajectory | 5 Overlapping Stages with Opacity Decay | Motion Vector Mapped to Tension Lines Input: [{argument name="movement" default="tennis serve"} :: [{argument name="physics principle" default="kinetic chain transfer"} :: [{argument name="activity context" default="professional circuit"} 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 Bézier curve | phase spacing compression at peak force | negative space expansion after impact material_optics: phase 1: sharp edges, completely opaque | phase 3: directional blur, subsurface stress luminescence | phase 5: debris particles, atmospheric diffusion | Surface displays show micro-deformation typography at contact points: Phase marking uses a technology index | Force vector annotations include Newton/Pascal values | Baseline follows trajectory tangents. Negative: No anime speed lines, no stiff motion clichés, no stock sports photography, no neon tracks, no planar overlays.Prompt variables
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