Cyberpunk Anime Horse Heist Chase Opening

A 10-second anime-style cyberpunk heist chase opening where a rider on a black horse bursts from a corporate vault explosion and gallops through neon-lit wet streets. The prompt specifies reference images for style, character, mount, environment, and props, plus detailed shot beats and SFX-only audio.

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Prompt

Seedance prompt example: 10 sec sections repeated

References:

Reference 1: keyframe to lock the visual style, mood, lighting, contrast, and overall cinematic tone
Reference 2: main rider character design
Reference 3: horse / mount design
Reference 4: environment reference — cyberpunk city, wet streets, corporate tower, neon, smoke, police lights
Reference 5: optional prop reference  (EMP)

Audio:
SFX only. No background music, no score, no song, no vocals. Use hoof impacts, explosion shockwave, glass debris, tack rattle, wind rush, sirens, drone hum, sparks, rain spray, tire skids, and electric glitch pulses.
Prompt:
10-second anime cyberpunk heist chase opening. Start already in motion, mid-blast, mid-escape, no intro, no posing. Rider and black horse burst from a corporate vault explosion, escaping through smoke, glass, sparks, and sirens. Rider stays low on the moving horse, red coat whipping, cigarette ember glowing, calm fearless expression. Horse gallops with real weight: hooves slam marble, wet road, debris, and glass; cyber tack rattles, reins snap, gas-mask gear vibrates. Data-core strapped near saddle flashes blue-white through smoke.

Style:
Rough-line anime action, bold ink contours, kinetic smear frames, neon reflections, speed-line backgrounds, high-contrast shadows, red coat as main accent. No glossy 3D, no plastic CGI, no clean superhero polish, no static posing.
Camera:
Handheld chase cam, low hoof tracking, crash zooms, drone POV flashes, fast lateral passes, whip pans, brief slow motion only on impact beats, readable silhouettes, foreground debris crossing lens.

Shot beats:
0:00–0:02 — Explosion exit: vault door flies outward, horse silhouette bursts through smoke and glass, rider already mounted low, data-core glowing.
0:02–0:04 — Hard landing: low 28mm angle, hooves slam cracked marble, water and glass scatter, camera shakes from impact.
0:04–0:06 — Street breach: horse charges through tower entrance into neon street, police lights ignite, drones wake above.
0:06–0:08 — Hoof cam acceleration: extreme low tracking, hooves hammer wet road, sparks and rain spray into camera, traffic lights smear.
0:08–0:10 — Traffic split: tight rider profile, siren lights slide across face, cigarette ember glows, horse splits between two cars, drones closing above.
Negative prompt:
No music, no vocals, no static intro, no title shot, no standing pose, no calm reveal, no glossy 3D, no plastic CGI, no superhero polish, no extra characters, no gore, no freeze-frame ending.
? 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 10s.

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", "tracking", "handheld".
LIGHTING
"neon, silhouette" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD
"energetic, tense" — 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
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 English. 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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