Seedance Montaje Rápido de Escenarios Globales
Fast Paced Global Cityscape Video Montage is presented as an edited case study, not a copy-ready prompt dump. Use it to study subject framing, camera direction, then rewrite it for your own workflow.
Seedance2Prompt Editorial Team
Revisado por: Seedance2Prompt Editorial Team
2026-03-12
Los detalles del prompt parten de ejemplos aprobados y el equipo editorial añade títulos, notas de uso y enlaces relacionados.
Overall Structure: - Ultra-high-speed metric montage switching between live-action scenery every 0.1 seconds according to the following sequence. - Each cut must be a video (not a still image) and include camera work. - Sequence: - 0.0s: Tokyo Tower - 0.1s: Shibuya Crossing - 0.2s: Senso-ji Temple - 0.3s: Imperial Palace - 0.4s: Kabuki-za Theatre - 0.5s: Tokyo Dome - 0.6s: Ueno Zoo - 0.7s: Roppongi Hills - 0.8s: Tokyo Station - 0.9s: Akihabara - 1.0s: Tsukiji Market - 1.1s: Yasukuni Shrine - 1.2s: Shinjuku Gyoen National Garden - 1.3s: Hama-rikyu Gardens - 1.4s: Akasaka Palace (State Guest House) - 1.5s: National Diet Building - 1.6s: Tokyo National Museum - 1.7s: National Museum of Nature and Science - 1.8s: Tokyo Metropolitan Government Building - 1.9s: Statue of Liberty (Odaiba) - 2.0s: Mount Fuji - 2.1s: Sapporo Clock Tower - 2.2s: Mount Hakodate - 2.3s: Sendai Castle Ruins - 2.4s: Matsushima - 2.5s: Nikko Toshogu Shrine - 2.6s: Kenroku-en Garden - 2.7s: Eihei-ji Temple - 2.8s: Zenko-ji Temple - 2.9s: Fuji-Q Highland - 3.0s: Atami Onsen - 3.1s: Ise Grand Shrine - 3.2s: Todai-ji Temple - 3.3s: Himeji Castle - 3.4s: Itsukushima Shrine - 3.5s: Hiroshima Peace Memorial Park - 3.6s: Dogo Onsen - 3.7s: Dazaifu Tenmangu Shrine - 3.8s: Kumamoto Castle - 3.9s: Sakurajima - 4.0s: Shuri Castle - 4.1s: Times Square, New York - 4.2s: Statue of Liberty, New York - 4.3s: Central Park, New York - 4.4s: Big Ben, London - 4.5s: Tower of London, London - 4.6s: Buckingham Palace, London - 4.7s: Eiffel Tower, Paris - 4.8s: Louvre Museum, Paris - 4.9s: Arc de Triomphe, Paris - 5.0s: Colosseum, Rome - 5.1s: Trevi Fountain, Rome - 5.2s: Vatican City, Rome - 5.3s: Great Wall of China, Beijing - 5.4s: Forbidden City, Beijing - 5.5s: Tiananmen Square, Beijing - 5.6s: Sydney Opera House, Sydney - 5.7s: Sydney Harbour Bridge, Sydney - 5.8s: Bondi Beach, Sydney - 5.9s: Christ the Redeemer, Rio de Janeiro - 6.0s: Copacabana Beach, Rio de Janeiro - 6.1s: Sugarloaf Mountain, Rio de Janeiro - 6.2s: Pyramids of Giza, Cairo - 6.3s: The Sphinx, Cairo - 6.4s: Egyptian Museum, Cairo - 6.5s: Hagia Sophia, Istanbul - 6.6s: Blue Mosque, Istanbul - 6.7s: Topkapi Palace, Istanbul - 6.8s: Red Square, Moscow - 6.9s: Saint Basil's Cathedral, Moscow - 7.0s: The Kremlin, Moscow - 7.1s: Brandenburg Gate, Berlin - 7.2s: Berlin Wall, Berlin - 7.3s: Reichstag, Berlin - 7.4s: Van Gogh Museum, Amsterdam - 7.5s: Rijksmuseum, Amsterdam - 7.6s: Anne Frank House, Amsterdam - 7.7s: Wat Arun, Bangkok - 7.8s: Wat Pho, Bangkok - 7.9s: Grand Palace, Bangkok - 8.0s: Gyeongbokgung Palace, Seoul - 8.1s: N Seoul Tower, Seoul - 8.2s: Myeong-dong, Seoul - 8.3s: Taipei 101, Taipei - 8.4s: National Palace Museum, Taipei - 8.5s: Longshan Temple, Taipei - 8.6s: Burj Khalifa, Dubai - 8.7s: Burj Al Arab, Dubai - 8.8s: Dubai Mall, Dubai - 8.9s: Marina Bay Sands, Singapore - 9.0s: Merlion Park, Singapore - 9.1s: Gardens by the Bay, Singapore - 9.2s: Victoria Peak, Hong Kong - 9.3s: Hong Kong Disneyland, Hong Kong - 9.4s: Tsim Sha Tsui, Hong Kong - 9.5s: Bellagio Fountains, Las Vegas - 9.6s: Stratosphere Tower, Las Vegas - 9.7s: Grand Canyon, Las Vegas - 9.8s: Hollywood Sign, Los Angeles - 9.9s: Griffith Observatory, Los Angeles - 10.0s: Santa Monica, Los Angeles
How to work from this case
- Start with the original prompt and identify which subject, camera, and mood phrases drive the output.
- When iterating, change one variable first: lighting, motion, or emotion.
- If references are involved, adjust framing and movement separately for more stable generations.
Editorial handling note
Public prompt pages show edited case notes instead of copy-ready raw text. High-risk, explicit, and brand- or likeness-sensitive entries are filtered from the public library.
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