geminiprompts.world

anime short film slow push-in Grok Imagine prompt

Anime Mother and Son Emotional Hug in Living Room

An anime-style emotional scene set in a warm, sunlit family living room where a crying mother is comforted by her concerned son. The boy enters, asks what's wrong, and the mother gently hugs him while the camera slowly pushes in on the embrace. The prompt specifies a 10-second duration with delicate anime expression and cinematic lighting.

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

なお @Naonekozamurai · Original post: Mar 15, 2026

Prompt

アニメイラスト風、感動的なシーン。
暖かい光が差し込む家庭的なリビング。
ソファに座った母親が静かに泣いている。目には涙、手にはティッシュ。
そこへ男の子が心配そうな表情でリビングに入ってくる。
男の子は母親のそばに近づき、優しく「ママ、どうしたの？」と聞く。
母親はそっと男の子を抱きしめる。
抱きしめるシーンでは、母親の涙の表情が見える構図で、男の子は背中がカメラ側を向いている。
母親は悲しそうに「Seedance 2、使えなくなっちゃった」と言う。
男の子は母親の胸の中にいる。
感情的で温かい雰囲気、繊細なアニメ表現、映画のようなライティング。
カメラは抱きしめる瞬間にゆっくり寄る。
動画の長さ：10秒

? 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	Not specified
Lighting	warm tone
Mood	Not specified
Aspect ratio	16:9
Difficulty	intermediate
Model	Grok Imagine
Prompt language	Chinese
Includes	Not specified

Categories

anime short film slow push-in

Filter by technique

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 →

LIGHTING: "warm tone" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
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.