Seedance Car Vehicle

Cars and vehicles at speed · 汽车与载具速度片

The machine has to stay one machine while the camera does all the work. Lock the vehicle part by part, then fill the runtime with a numbered cut list that moves the camera every second.

This Skill carries one prompt structure distilled from 11 human-verified Seedance cases on goodcase.ai. It is a sibling of seedance-prompt-library (all templates in one Skill); install this one when you only want this kind of clip. Do not invent structure from general video-generation knowledge: follow the structure below and ground the draft in one anchor case from references/cases.md.

Use when

• Motorcycle and car commercials, mountain-road speed runs, chase and stunt sequences, and vehicle transformation clips.
• 中文：摩托和汽车广告、山路疾驰、追逐与特技段落，还有车辆变形类的片子。

Workflow

1. Collect inputs. Ask only for what is missing: subject or product, setting, duration, aspect ratio, whether reference images / audio exist, and which language the final prompt should be in.
2. Pick one anchor case. Read references/cases.md, choose the case closest to the request, and name it in the reply. One anchor, never an average of several.
3. Fill the structure block by block. Every block below must be present in the final prompt; an empty block is where prompts go vague.
   1. Opening line: runtime, aspect ratio, frame rate, and the exact number of cuts
   2. Vehicle lock: model or type, colour, and the moving parts that have to behave
   3. Rider or driver lock: build, gear, helmet, closed with one consistency sentence
   4. Road and weather: the surface, what lines both sides of it, the light
   5. A ratio line stating how much of the film is camera motion and how much is scenery
   6. The numbered cut list, one line per second, each naming a camera position and what streaks past
   7. Tail: visual style, then a negative list of the ways a vehicle specifically breaks
4. Apply the guidance and check the pitfalls (next two sections) before returning anything.
5. Return the finished prompt as one copy-pasteable block, the anchor case link, and a three-line checklist of what to verify in the generated video.

Guidance (from the cases)

• Describe the vehicle by its parts, not by its badge. The Karakoram commercial names realistic suspension movement, wheel rotation, chain movement, engine vibration, then requires the proportions to hold for the whole clip.
• Declare the cut count before writing the list. The mountain-road motorcycle case opens with exactly 16 distinct cuts, total runtime ≈ 16–17 seconds and then runs CUT 01 through CUT 16, one second each.
• Put the speed in the camera position and in what gets thrown past it. The same case writes camera drops even lower, almost road-level and grass and fence posts racing past.
• State a ratio at the top and obey it below. The mountain-road case declares 90 % pure kinetic camera motion and 10 % environmental beauty, and not one of its sixteen cuts stops to admire the view.
• Write a negative list of vehicle-specific failures. Karakoram excludes no duplicated motorcycle components, no unrealistic wheel geometry, no floating motorcycle, and the motorcycle-to-dragon case adds that the two must clearly be the same entity.

Pitfalls

• Naming the vehicle and the road and leaving the rest to the model. Colour and stance then drift every cut; the mountain-road case writes Preserve the exact bike color, rider silhouette, road markings.
• Putting two camera positions inside one cut. A second only holds one position, and asking for more makes the model cut in the middle of the shot.
• Writing a transformation as an edit. The motorcycle-to-dragon case demands No cuts or jumps and spells the change out piece by piece: wheels become clawed limbs, frame expands into an armoured body.
• Holding a macro shot on the badge or the instrument cluster. Generated lettering comes out wrong; aim the close-ups at tyre contact, suspension compression and the exhaust instead.

Language

Reply in the user's language. The prompt itself can stay in English when that is what the user's Seedance workflow expects; ask if unclear. The Chinese version of this structure follows.

中文：汽车与载具速度片

机器从头到尾得是同一台机器，出力的是镜头。先把车按部件锁住，再用编号分镜表把时长排满，每一秒换一个机位。

结构:

1. 开场一句：时长、画幅、帧率，以及总共多少个镜头
2. 车辆锁定：车型、颜色，以及那些必须动对的部件
3. 骑手或司机锁定：体型、装备、头盔，收一句一致性
4. 路面和天气：铺装、路两边是什么、光线
5. 一句配比，说明这条片子多少是镜头运动、多少是风景
6. 编号分镜表，一秒一条，每条点名机位和被甩过去的东西
7. 收尾：视觉风格，再加一份专门针对车会怎么坏的负面清单

要点:

• 车按部件写，不靠车标。Karakoram 那条广告点名 realistic suspension movement, wheel rotation, chain movement, engine vibration，再要求整条保持比例一致。
• 先声明总镜头数，再写表。山路摩托那条开头写 exactly 16 distinct cuts, total runtime ≈ 16–17 seconds，后面 CUT 01 到 CUT 16 一秒一条。
• 速度写在机位和被甩过去的东西上。同一条里写 camera drops even lower, almost road-level，然后写 grass and fence posts racing past。
• 开头给一句配比，下面照着执行。山路那条声明 90 % pure kinetic camera motion and 10 % environmental beauty，于是十六个镜头没有一个停下来看风景。
• 负面清单要点名车会怎么坏。Karakoram 那条排除 no duplicated motorcycle components, no unrealistic wheel geometry, no floating motorcycle，摩托变龙那条另外要求变形前后必须明确是同一个实体。

常见坑:

• 只写车名和路，剩下交给模型。颜色和姿态会一镜一变，山路那条专门写 Preserve the exact bike color, rider silhouette, road markings。
• 一个镜头里写两个机位。一秒只装得下一个机位，写多了模型会在镜头中间自己切一刀。
• 把变形写成剪辑切换。摩托变龙那条要求 No cuts or jumps，并把轮子变爪肢、车架撑成装甲躯干逐件写出来。
• 特写停在车标或者仪表盘文字上。生成出来的字必歪，特写改打轮胎接地、悬挂压缩和排气这些结构件。

Copy-ready lead-in / 可复制引导语

For users who would rather paste into a chat model than run this Skill, hand them this line above the structure:

I want a vehicle speed clip. [The vehicle is a white dual-sport motorcycle on a foggy gravel mountain road at dawn.] [The rider is a young man in a worn leather jacket, full-face helmet on the whole time.] Using the prompt template below, rewrite it into one ready-to-use Seedance video prompt for me:

我要做一条载具速度短片，【车是一台白色越野摩托，路况是清晨起雾的碎石山路】，【骑手是一个穿旧皮衣的男生，全程戴全盔】。请根据下面这个提示语模板，帮我改写成一条可以直接用的 Seedance 视频提示语：

Notes

• references/cases.md is generated from data/ in LearnPrompt/awesome-seedance and refreshed daily; do not hand-edit an installed copy.
• Prompts in the reference file belong to their creators (linked on every card). Transfer the structure; do not present a close copy as original work.
• For the full library across every model, install the goodcase Skill from LearnPrompt/goodcase-lite.