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Stroboscopic Multi-Exposure Sports Action preview image
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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 Other Inspiration. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

16:9 layout: stroboscopic multi-exposure along curved trajectory | 5 phases overlapping with transparency decay | motion vectors mapped as 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 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

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

3
Variable
movement
Default
tennis serve
Variable
physics principle
Default
kinetic chain transfer
Variable
activity context
Default
professional circuit

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  • - Other Inspiration visual exploration
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Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: Text to Image
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

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  3. 3. Change one camera, lighting, or style variable per iteration.
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  • - Generated output is an editable draft, not factual, legal, or rights evidence.
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Imported from Awesome GPT Image 2 Prompts. Attribution is required. Commercial-use status is allowed; review source rights before paid usage.

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