Valentines Day Fast Cut Anime Video is presented as an edited case study, not a copy-ready prompt dump. Use it to study subject framing, camera direction, motion pacing, lighting choices, then rewrite it for your own workflow.
Prompt Detailultra-fast-live-action-scenery-montage
Montagem Ultrarrápida de Cenários ao Vivo | Seedance
Ultra Fast Live Action Scenery 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.
Nota editorialExemplo de prompt
Preparado por
Seedance2Prompt Editorial Team
Revisado por: Seedance2Prompt Editorial Team
Última atualização
2026-03-12
Método editorial
As páginas de prompt partem de exemplos aprovados e a equipe editorial adiciona títulos, notas de uso e links relacionados.
Overall Structure: - An ultra-high-speed metric montage that switches between live-action scenery every 0.1 seconds according to the coordinates (latitude and longitude) described in the sequence below. - Each cut must be a video with camera work, not a still image. - Sequence: - 0.0s: 35.6586, 139.7454 (Tokyo Tower) - 0.1s: 35.6591, 139.7031 (Shibuya Crossing) - 0.2s: 35.7147, 139.7967 (Senso-ji Temple) - 0.3s: 35.6851, 139.7528 (Imperial Palace) - 0.4s: 35.6672, 139.7618 (Kabuki-za) - 0.5s: 35.7058, 139.7518 (Tokyo Dome) - 0.6s: 35.7171, 139.7714 (Ueno Zoo) - 0.7s: 35.6606, 139.7311 (Roppongi Hills) - 0.8s: 35.6812, 139.7671 (Tokyo Station) - 0.9s: 35.7022, 139.7745 (Akihabara) - 1.0s: 35.6657, 139.7709 (Tsukiji Market) - 1.1s: 35.6922, 139.7447 (Yasukuni Shrine) - 1.2s: 35.6852, 139.7107 (Shinjuku Gyoen National Garden) - 1.3s: 35.6617, 139.7645 (Hama-rikyu Gardens) - 1.4s: 35.6792, 139.7388 (Akasaka Palace) - 1.5s: 35.6759, 139.7452 (National Diet Building) - 1.6s: 35.7188, 139.7753 (Tokyo National Museum) - 1.7s: 35.7153, 139.7753 (National Museum of Nature and Science) - 1.8s: 35.6898, 139.6920 (Tokyo Metropolitan Government Building) - 1.9s: 35.6298, 139.7788 (Statue of Liberty (Odaiba)) - 2.0s: 35.3606, 138.7274 (Mount Fuji) - 2.1s: 43.0617, 141.3538 (Sapporo Clock Tower) - 2.2s: 41.7687, 140.7064 (Mount Hakodate) - 2.3s: 38.2578, 140.8672 (Sendai Castle Site) - 2.4s: 38.3739, 141.0667 (Matsushima) - 2.5s: 36.7588, 139.5990 (Nikko Toshogu Shrine) - 2.6s: 36.5614, 136.6562 (Kenroku-en Garden) - 2.7s: 36.0683, 136.3764 (Eihei-ji Temple) - 2.8s: 36.6568, 138.1878 (Zenko-ji Temple) - 2.9s: 35.7417, 138.7786 (Fuji-Q Highland) - 3.0s: 35.0964, 139.0778 (Atami Onsen) - 3.1s: 34.4558, 136.7214 (Ise Grand Shrine) - 3.2s: 34.6881, 135.8392 (Todai-ji Temple) - 3.3s: 34.8394, 134.6892 (Himeji Castle) - 3.4s: 34.2958, 132.3188 (Itsukushima Shrine) - 3.5s: 34.3955, 132.4539 (Hiroshima Peace Memorial Park) - 3.6s: 33.8458, 132.7750 (Dogo Onsen) - 3.7s: 33.5222, 130.5342 (Dazaifu Tenmangu) - 3.8: 32.8058, 130.7058 (Kumamoto Castle) - 3.9s: 31.5833, 130.6500 (Sakurajima) - 4.0s: 26.2167, 127.7183 (Shuri Castle) - 4.1s: 40.7580, -73.9855 (Times Square, New York) - 4.2s: 40.6892, -74.0445 (Statue of Liberty, New York) - 4.3s: 40.7812, -73.9665 (Central Park, New York) - 4.4s: 51.5007, -0.1246 (Big Ben, London) - 4.5s: 51.5081, -0.0759 (Tower of London, London) - 4.6s: 51.5014, -0.1419 (Buckingham Palace, London) - 4.7s: 48.8584, 2.2945 (Eiffel Tower, Paris) - 4.8s: 48.8606, 2.3376 (Louvre Museum, Paris) - 4.9s: 48.8738, 2.2950 (Arc de Triomphe, Paris) - 5.0s: 41.8902, 12.4922 (Colosseum, Rome) - 5.1s: 41.9009, 12.4833 (Trevi Fountain, Rome) - 5.2s: 41.9029, 12.4534 (Vatican City, Rome) - 5.3s: 40.4319, 116.5704 (Great Wall of China, Beijing) - 5.4s: 39.9164, 116.3972 (Forbidden City, Beijing) - 5.5s: 39.9042, 116.4074 (Tiananmen Square, Beijing) - 5.6s: -33.8568, 151.2153 (Sydney Opera House, Sydney) - 5.7s: -33.8523, 151.2108 (Sydney Harbour Bridge, Sydney) - 5.8s: -33.8914, 151.2748 (Bondi Beach, Sydney) - 5.9s: -22.9519, -43.2105 (Christ the Redeemer, Rio de Janeiro) - 6.0s: -22.9711, -43.1828 (Copacabana Beach, Rio de Janeiro) - 6.1s: -22.9481, -43.1633 (Sugarloaf Mountain, Rio de Janeiro) - 6.2s: 29.9792, 31.1342 (Pyramids of Giza, Cairo) - 6.3s: 29.9753, 31.1376 (Great Sphinx, Cairo) - 6.4s: 30.0450, 31.2336 (Egyptian Museum, Cairo) - 6.5s: 41.0086, 28.9802 (Hagia Sophia, Istanbul) - 6.6s: 41.0054, 28.9768 (Blue Mosque, Istanbul) - 6.7s: 41.0117, 28.9833 (Topkapi Palace, Istanbul) - 6.8s: 55.7541, 37.6203 (Red Square, Moscow) - 6.9s: 55.7525, 37.6231 (Saint Basil's Cathedral, Moscow) - 7.0s: 55.7520, 37.6175 (The Kremlin, Moscow) - 7.1s: 52.5163, 13.3777 (Brandenburg Gate, Berlin) - 7.2s: 52.5075, 13.4447 (Berlin Wall, Berlin) - 7.3s: 52.5186, 13.3762 (Reichstag, Berlin) - 7.4s: 52.3584, 4.8811 (Van Gogh Museum, Amsterdam) - 7.5s: 52.3599, 4.8852 (Rijksmuseum, Amsterdam) - 7.6s: 52.3752, 4.8839 (Anne Frank House, Amsterdam) - 7.7s: 13.7457, 100.4871 (Wat Arun, Bangkok) - 7.8s: 13.7467, 100.4930 (Wat Pho, Bangkok) - 7.9s: 13.7511, 100.4937 (The Grand Palace, Bangkok) - 8.0s: 37.5796, 126.9770 (Gyeongbokgung Palace, Seoul) - 8.1s: 37.5512, 126.9882 (N Seoul Tower, Seoul) - 8.2s: 37.5609, 126.9860 (Myeong-dong, Seoul) - 8.3s: 25.0339, 121.5645 (Taipei 101, Taipei) - 8.4s: 25.1017, 121.5484 (National Palace Museum, Taipei) - 8.5s: 25.0374, 121.4998 (Longshan Temple, Taipei) - 8.6s: 25.1972, 55.2744 (Burj Khalifa, Dubai) - 8.7s: 25.1414, 55.1853 (Burj Al Arab, Dubai) - 8.8s: 25.1972, 55.2744 (Dubai Mall, Dubai) - 8.9s: 1.2833, 103.8592 (Marina Bay Sands, Singapore) - 9.0s: 1.2867, 103.8545 (Merlion Park, Singapore) - 9.1s: 1.2816, 103.8637 (Gardens by the Bay, Singapore) - 9.2s: 22.2700, 114.1500 (Victoria Peak, Hong Kong) - 9.3s: 22.3080, 114.0420 (Hong Kong Disneyland, Hong Kong) - 9.4s: 22.2960, 114.1730 (Tsim Sha Tsui, Hong Kong) - 9.5s: 36.1147, -115.1767 (Fountains of Bellagio, Las Vegas) - 9.6s: 36.1437, -115.1558 (Stratosphere Tower, Las Vegas) - 9.7s: 36.1000, -112.1000 (Grand Canyon, Las Vegas) - 9.8s: 34.1341, -118.3215 (Hollywood Sign, Los Angeles) - 9.9s: 34.1185, -118.3004 (Griffith Observatory, Los Angeles) - 10.0s: 34.0100, -118.4900 (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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