geminiprompts.world

nature portrait Veo prompt

Golden-hour mountain swing

A young woman sits on a wooden swing in a mountain landscape during golden hour. Soft sunlight glows across her face as she smiles with eyes closed, enjoying the breeze. Her scarf flows gracefully in the wind, and her hair moves naturally.…

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Laraib Fatima‎ @AiwithLariab · Original post: Apr 18, 2026

Prompt

A young woman sits on a wooden swing in a mountain landscape during golden hour. Soft sunlight glows across her face as she smiles with eyes closed, enjoying the breeze. Her scarf flows gracefully in the wind, and her hair moves naturally. The background shows blurred mountains and soft sky. Cinematic, dreamy, ultra-realistic, warm tones, peaceful atmosphere. Motion: Swing gently moving → hair & scarf flowing → soft sunlight flicker Camera: Slow side angle → slight push-in Audio (No Dialogue): Soft instrumental (flute + piano) + light wind ambience

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Paste & generate — keep the verbatim prompt text for best adherence. Set aspect ratio to 9:16 and clip duration to 8s.

Spec sheet

Duration	8s
Camera	push-in
Lighting	warm tone · golden hour
Mood	cinematic · peaceful · dreamy
Aspect ratio	9:16
Difficulty	advanced
Model	Veo
Prompt language	English
Includes	Not specified

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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: "push-in" is a core cinematic camera technique for establishing spatial immersion and subject framing.
LIGHTING: "warm tone, golden hour" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD: "cinematic, peaceful, dreamy" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION: At 8s, this clip is optimized for high temporal coherence and fluid, realistic motion physics.
MODEL: Veo (Google) 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.