Black-and-White Manga Rooftop Chase in Neon Megacity

A 15-second black-and-white manga action sequence in which a young cyber-samurai is chased across neon megacity rooftops by an armored demon in the rain. The prompt emphasizes hand-drawn ink animation, cross-hatching, screentone shadows, speed lines and manga impact frames with kinetic combat choreography.

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DeCat @DeCat2025 ·
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Prompt

It's Manga time - seedance 2.0 @openart_ai 

A relentless 15-second black-and-white manga action sequence set across the rooftops of a futuristic neon megacity at night. 

A young cyber-samurai is pursued by a massive armored demon through pouring rain. The sequence is extremely kinetic, aggressive, and fast-paced, with bold ink lines, heavy cross-hatching, screentone shadows, explosive speed lines, dramatic foreshortening, exaggerated perspective, debris, sparks, smoke, rain streaks, and powerful manga impact frames. Cinematic Japanese manga aesthetic, hand-drawn ink animation, fluid combat choreography, high contrast, dynamic lighting, intense facial expressions, no dialogue, no text, no speech bubbles, no watermark, 16:9.
? 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 16:9 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 →

LIGHTING
"neon" establishes luminance depth, volumetric shadow falloff, and tonal contrast across the generation.
MOOD
"energetic, dramatic" — 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 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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