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cyberpunk scifi cyberpunk cinematic ai Grok Imagine prompt

Starship Couple Watches Earth Flood Below

A cinematic sci-fi scene of a woman and man aboard an open starship flying away from Earth toward the sun, looking down as biblical-scale floodwaters swallow the planet and submerge the pyramids. The prompt describes a vast apocalyptic vista with only a few warned survivors escaping in vessels.

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Maria Of Mars @MariaGa68521784 · Original post: Aug 14, 2026

Prompt

A woman and a man aboard an open starship charting off planet Earth towards the sun, watching the waters prevail over the world as in Noah’s flood, massive floodwaters covering the pyramids and submerging the Earth below them only a few on the planet, remain the ones that were warned and made vessels for the sea

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Paste & generate — keep the verbatim prompt text for best adherence. Set aspect ratio to 16:9 and clip duration to 6s.

Spec sheet

Duration	6s
Camera	wide shot
Lighting	golden hour · volumetric
Mood	epic · dramatic
Aspect ratio	16:9
Difficulty	intermediate
Model	Grok Imagine
Prompt language	English
Includes	Not specified

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cyberpunk scifi cyberpunk cinematic ai

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What makes this prompt work

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

CAMERA: "wide shot" is a core cinematic camera technique for establishing spatial immersion and subject framing.
LIGHTING: "golden hour, volumetric" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD: "epic, dramatic" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION: At 6s, this clip is optimized for high temporal coherence and fluid, realistic motion physics.
MODEL: Grok Imagine (xAI) 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.