Telekinetic Villain Lifts Mountain in 90s Anime Style

A 15-second 90s-style anime clip in which a black-and-gold clad super villain charges up and telekinetically rips a mountain from its base, hoists it over the ocean, and hurls it down to trigger a tsunami. The sequence uses tracking shots with multiple angles and quick cuts to emphasize the escalating scale of destruction.

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PromptlyAI @PromptlyAI_YT ·
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Prompt

90s anime style. 15 second animation clip. Telekinetic powered super villain dressed in black and gold futuristic tactical clothing using their immense power to move a literal mountain with their mind. First the villain needs to power up, then cracks form in the mountain base, then the mountain breaks free and is lifted high above the ocean before being thrown into the water to create a massive tsunami type wave. Camera: tracking shot with multiple angles and quick cuts for emphasis. Constraints: no voice-overs, ominous tone.
? How to use this prompt ▾
  1. Copy the prompt using the green "Copy prompt" button above.
  2. Open your model — launch Seedance 2.0 on its official interface.
  3. Paste & generate — keep the verbatim prompt text for best adherence. Set aspect ratio to 9:16 and clip duration to 15s.

What makes this prompt work

Every insight below is verified against benchmark generation parameters, not asserted. How our prompt engineering benchmarks work →

CAMERA
"tracking" is a core cinematic camera technique for establishing spatial immersion and subject framing.
MOOD
"epic, dramatic" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION
At 15s, this clip is optimized for high temporal coherence and fluid, realistic motion physics.
MODEL
Seedance 2.0 (ByteDance) provides the underlying diffusion and motion architecture. Camera, lighting and duration cues transfer across models — what differs is how literally each model interprets motion.
PROMPT LANGUAGE
The prompt is written in English. This library keeps every prompt in its original language rather than translating it — the exact words are what was conditioned during generation.
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