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頻閃多重曝光運動

使用頻閃多重曝光效果和基於物理的運動向量來捕捉運動動作(例如網球發球)的技術提示。

這是一個其他靈感的GPT Image 2範例。請使用下方可直接使用的提示資訊產生類似的視覺素材,並在重複使用前查看Awesome GPT Image 2 Prompts署名和商業用途授權資訊。

需要完整的提示符號集?請使用 其他靈感 主題中心提供更多相關範例,或打開 GPT Image 2 提示庫 有關完整範例索引、可重複使用結構和來源歸屬的資訊。
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提示詞

可直接複製的提示

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

提示變數

提示符號中可編輯的參數佔位符及其預設值。

3
多變的
movement
預設
tennis serve
多變的
physics principle
預設
kinetic chain transfer
多變的
activity context
預設
professional circuit

Best for

  • - 其他靈感 visual exploration
  • - Image generation and reference-image edits
  • - Reusable briefs that keep source attribution visible

Change these parts

  • - Subject, product, character, or scene
  • - Aspect ratio, camera, lighting, and background
  • - Brand, text, color, and output constraints

Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: 文生圖
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 4. Inspect the output, source, text, and rights before reuse.

Limitations, source, and reuse cautions

  • - Generated output is an editable draft, not factual, legal, or rights evidence.
  • - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
內容來自Awesome GPT Image 2 Prompts 。必須註明出處。商業用途狀態為allowed ;付費使用前請查看來源版權資訊。

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重用和來源註釋

預覽案例後,請謹慎使用此提示。

  1. 1.複製提示或直接在 Dovoo 中使用生成按鈕開啟提示。
  2. 2.根據您的實際使用情況調整變數、寬高比和參考影像。
  3. 3.發布或付費使用前,請確認版權、署名要求以及品牌或肖像權風險。
頻閃多重曝光運動動作 GPT 影像 2 | Image Prompt Gallery