Anime Cheerleader Supports Gamer in Locked-Off Apartment Shot

A single continuous locked-off wide shot shows an adult man playing a computer game at night in a cluttered high-rise apartment while a 2D cel-shaded anime woman cheers him on in Japanese. The scene uses a photorealistic room with a mixed live-action/2D anime character, timed cheering beats, and synced audio including keyboard and mouse sounds.

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Keskin @craftian_keskin ·
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Prompt

Create one continuous locked-off wide shot inside a cluttered high-rise gaming apartment at night. Keep the camera completely stationary for the entire scene: no cuts, zooms, pans, tilts, shake, reframing, or angle changes.
The seated adult man remains focused on playing a computer game. He makes natural mouse movements, taps the keyboard, leans slightly toward the monitor, and reacts subtly to tense gameplay. He stays fully clothed, never speaks, and does not turn around.
Behind him stands a clearly adult anime woman, age 22 or older, wearing modest casual gaming-themed clothing. She has a bright, friendly expression and a clean 2D cel-shaded anime appearance. Her behavior is supportive and playful, with no flirting, romance, physical contact, or suggestive movement.
[00:00–00:03]
The man begins clicking the mouse and tapping the keyboard. The anime woman bounces lightly in place and makes two small fist pumps near shoulder height. She cheers in a cheerful adult Japanese anime voice:
「がんばれ! がんばれー!」
“Ganbare! Ganbareee!”
[00:03–00:06]
The man leans closer to the monitor as the game becomes more intense. She performs two simple side steps, claps twice, and says:
「その調子! もう少し!」
“Sono choushi! Mou sukoshi!”
[00:06–00:09]
The man makes a quick mouse movement and presses several keys. She raises both arms in a harmless victory pose, waves once, and cheers:
「がんばって! 負けないで!」
“Ganbatte! Makenaide!”
[00:09–00:12]
The man remains concentrated while the monitor glow flickers naturally across the desk. She alternates two small fist pumps, gives a thumbs-up, and says:
「いけるよ! いける!」
“Ikeru yo! Ikeru!”
[00:12–00:15]
The man completes a final rapid series of clicks and relaxes slightly, suggesting success. She makes one small celebratory hop, lands naturally, claps, and finishes with both thumbs up while saying:
「やったー! よくできました!」
“Yattaa! Yoku dekimashita!”
AUDIO:
Clear adult feminine Japanese voice with accurate lip sync. Add realistic keyboard tapping, mouse clicks, computer-fan hum, faint game sounds, quiet room tone, and distant city ambience. No music and no additional voices.
STYLE:
Photorealistic apartment combined with a crisp 2D adult anime character. Warm room lighting, cool monitor glow, red computer lighting, natural shadows, light cinematic grain, wholesome gaming-comedy atmosphere.
AVOID:
No minors, childlike appearance, romance, flirting, physical contact, sexualized clothing, suggestive dancing, camera movement, subtitles, captions, speech bubbles, watermarks, extra characters, duplicated limbs, distorted hands, facial changes, clothing changes, room changes, character flicker, or transformation into a realistic person.
? How to use this prompt ▾
  1. Copy the prompt using the green "Copy prompt" button above.
  2. Open your model — launch Seedance 2.0 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 15s.

What makes this prompt work

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

CAMERA
"zoom" is a core cinematic camera technique for establishing spatial immersion and subject framing. Also present: "pan", "tilt", "wide shot".
LIGHTING
"warm tone, cool tone" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD
"playful, energetic" — Mood and aesthetic tone are explicitly directed to maintain emotional consistency throughout the scene.
DURATION
At 15s, this clip is optimized for high temporal coherence and fluid, realistic motion physics.
MODEL
Seedance 2.0 (ByteDance) 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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