Three-Panel Vertical Portrait of a Melancholy Woman in Fog

A 6-second vertical triptych video showing the same freckled, short-haired woman in three independently moving panels: a slow push-in on her hand at her temple, a static side-profile close-up welling with tears, and a slow pull-out as she fades into fog. The prompt specifies hyper-realistic skin and hair detail, low-saturation cinematic side light, film grain, and a matching minimal piano-and-wind audio track.

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Loriel.AI @ou_zhen599 ·
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Prompt

8K 超写实 6 秒竖版动态短片,固定三格竖向分屏画幅,分割线保持不变,三个格子画面独立运动,互不串图,朦胧雾感野外黄昏,低饱和暗调电影弱侧光,胶片颗粒质感;浅金色短卷发女性,黑色简约上衣,皮肤雀斑肌理高度写实,微风持续吹动发丝。总时长 6 秒。
【上方画幅|0-6s 独立动态】女子右手缓缓抬至额头侧边,指尖轻抵太阳穴,眼神放空涣散,嘴唇微张,神情疲惫心事重重,发丝被风扫过眉眼,眼皮缓慢轻眨;本格镜头极缓慢向前小幅推镜,焦点锁定眼睛与手部,细微呼吸感镜头抖动。无台词。
【中间画幅|0-6s 独立动态】人物侧脸特写,目光望向远方,睫毛缓缓颤动,眼底慢慢蓄起泪光,发丝不断拂过脸颊鼻尖,嘴唇轻微抿动,克制隐忍悲伤;本格镜头缓慢小幅横向微移,固定面部特写,细微呼吸抖动,不做推拉。无台词。
【下方画幅|0-6s 独立动态】女子面向镜头静静伫立,风吹摆动短发,几缕发丝飘落在眉眼,眼神从涣散慢慢转为沉静漠然,呼吸平缓,只有细微眼睑开合;本格镜头极缓慢向后小幅拉远,由近景过渡至胸像,人物慢慢融入昏暗雾感背景。无台词。
三格同时播放,人物肢体、面部微表情自然真实,杜绝 AI 僵硬扭曲;皮肤毛孔、发丝细节写实。
配套 6 秒音频:极简低沉钢琴单音配乐,叠加旷野轻柔风声,整体音量偏低,营造压抑沉思氛围感。
? How to use this prompt ▾
  1. Copy the prompt using the green "Copy prompt" button above.
  2. Open your model — launch Grok Imagine 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 6s.

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. Also present: "pull-out", "close-up".
LIGHTING
"low-key, soft light" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD
"cinematic" — 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 Chinese. 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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