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生活与Vlog · Seedance 2.5

Hawaii Tropical Travel Vlog

A high-engagement Hawaii travel diary that holds one traveler across eight distinct city, beach, ocean, market, sunset, and hotel scenes.

1 次阅读2026/08/13 发布按提示词中的镜头轨迹与时间轴执行16:930
生成结果来源:Community example · @just_sharon7已保存到本站本地媒体库

完整提示词

Create a cinematic 30-second tropical travel vlog featuring the same 20-year-old East Asian woman with dark hair throughout every scene. Keep her facial identity, hairstyle, natural makeup and body proportions consistent. Use authentic handheld travel-diary movement, candid performance, soft golden-hour light, natural skin texture, shallow depth of field, warm vintage colour and subtle 35mm grain. 0-4s: follow her through a bright palm-lined Hawaiian street, then move into a windblown close-up. 4-8s: barefoot shoreline walk with low-angle footprints, ocean reflections and volcanic mountains. 8-12s: look up through palms into lens flare, then cut to her profile beside a rocky ocean cliff. 12-16s: quiet beachfront cafe details and a tropical drink by the window. 16-20s: water-level orbit as she floats and laughs on a surfboard in turquoise water. 20-24s: handheld night-market exploration with fruit skewers, local food, lanterns and neon bokeh. 24-27s: wide silhouette at an orange-pink ocean sunset. 27-30s: hotel balcony over tropical city lights, ending on an intimate peaceful close-up. Preserve documentary realism and natural autofocus changes. No CGI look, plastic skin, identity drift, distorted anatomy, duplicate people, oversaturation, blurry face, text or logos.

为什么这样写

1. Eight timed scenes give a multi-location travel montage a complete day arc instead of a collection of disconnected beauty shots. 2. The traveler identity and image texture are locked before the timeline, protecting continuity while the locations change. 3. Concrete camera imperfections keep the luxury imagery readable as a personal vlog rather than a polished brand commercial.

模型与出处

使用模型

Seedance 2.5

提供方

EvoLink / ByteDance

Community example · @just_sharon7

提示词是依据官方公开指南与示例整理的学习版本;不同模型结果会随版本、输入素材、随机种子和参数变化。