geminiprompts.world

surreal dreamlike Grok Imagine prompt

Weeping Mary Statue Rotating Slowly

A surreal religious scene in which a statue of Mary rotates in place every 2.5 seconds while tiny clear tears roll down her face at five-second intervals. The prompt specifies minimal, almost imperceptible motion against a static statue.

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

Michael Bradley @MikeBradleySr2 · Original post: Mar 22, 2026

Prompt

Jesus is dead.  And there is no movement by the entire statue except the statue  
rotates without changing at one turn every 2.5 seconds. A extremly small amount of clear small tears roll down from Mary’s eyes staying on her face every 5  seconds. An...

? 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 aspect ratio to 16:9 and clip duration to 10s.

Spec sheet

Duration	10s
Camera	static/fixed
Lighting	Not specified
Mood	surreal · eerie
Aspect ratio	16:9
Difficulty	intermediate
Model	Grok Imagine
Prompt language	English
Includes	Not specified

Categories

surreal dreamlike

Filter by technique

static/fixed surreal eerie

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: "static/fixed" is a core cinematic camera technique for establishing spatial immersion and subject framing.
MOOD: "surreal, eerie" — 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 English. This library keeps every prompt in its original language rather than translating it — the exact words are what was conditioned during generation.