geminiprompts.world

cityscape urban urban abstract Grok Imagine prompt

First-Person Flight Through a Geometric Megacity

A first-person flight at high speed through a vast city built from geometric superstructures, with lightning striking around the viewer. The prompt emphasizes ultra-high fidelity, cinematic fine-art quality, and perfect temporal coherence.

This clip could not be loaded — it may have been removed from X.

S.T.O @dhT1mlkOvovxVE4 · Original post: May 3, 2026

Prompt

16K, Grok Pro maximum fidelity
ultra cinematic, fine-art performance film
IMAX-grade visual density
extreme motion clarity
perfect temporal coherence

幾何学模様の超構造体で作られた
巨大な都市を高速で飛んでいく映像

一人称視点

稲妻が発生している

? How to use this prompt ▾

Copy the prompt using the green "Copy prompt" button above.
Open your model — launch Grok Imagine on its official interface.
Paste & generate — keep the verbatim prompt text for best adherence. Set clip duration to 10s.

Spec sheet

Duration	10s
Camera	pov · aerial/drone
Lighting	Not specified
Mood	cinematic · epic
Aspect ratio	Not specified
Difficulty	intermediate
Model	Grok Imagine
Prompt language	Chinese
Includes	Not specified

Categories

cityscape urban urban abstract

Filter by technique

pov aerial/drone cinematic epic

Filter thousands of prompts by camera movement, lighting, duration, aspect ratio and category.

Browse complete prompt library →

What makes this prompt work

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

CAMERA: "pov" is a core cinematic camera technique for establishing spatial immersion and subject framing. Also present: "aerial/drone".
MOOD: "cinematic, epic" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION: At 10s, 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 Chinese. This library keeps every prompt in its original language rather than translating it — the exact words are what was conditioned during generation.