Image prompts fail by being vague. Video prompts fail by ignoring time. Here is the six-layer structure a clip actually needs, what each model rewards, and how WEDO AI Studio writes it from one plain sentence.
Image prompts fail by being vague. Video prompts fail differently: people write them like image prompts and forget that video has a time axis. "A cinematic shot of a car driving through a city at night" describes a frame, not a clip. The model has to invent what happens across the four, eight or ten seconds — where the camera starts, where it ends, how fast, what moves, what the light does as it moves — and it will invent something different every run.
The fix is to write a shot, not a picture. That means naming the beats.
cinematic shot of a coffee cup on a table, steam, warm lighting, slow motion, 4k
No start, no end, no camera behaviour, no timing. The model picks all of it.
8 seconds, one continuous take, 50mm, shallow depth of field.
0.0-2.5s: Locked-off macro on the rim of a white ceramic cup. Steam rises slowly with real
weight, curling right as it clears the rim. Single hard practical from camera-left rakes
across the ceramic; the background is a deep unlit brown falling to black.
2.5-5.5s: The camera begins a slow 12cm push in and 5 degrees down, revealing crema
texture on the surface of the espresso. As it moves, the rim highlight travels along the
curve and a warm bounce builds on the near side of the cup.
5.5-8.0s: The push settles. Steam thins. The final frame is the cup slightly left of centre
with clean negative space at upper right.
Physics: steam has drift and dissipation, not a smoke plume; no liquid movement; no
camera shake.
Audio: quiet room ambience, one soft ceramic settle at 5.5s.
Negative: text, logo overlay, watermark, second cup, hands entering frame, jitter,
flicker, warped rim.Every clause there is a decision the model no longer gets to make randomly. That is why the clip is usable and why a second render still matches the first.
| Model | What it rewards |
|---|---|
| Seedance 2.0 | Precise technical shot language with exact second-by-second timing, physics-accurate motion and strict camera grammar. It rewards specificity more than almost any other model, so give it the full beat sheet. |
| Seedance 2.0 Fast | Keep it tight. Front-load the strongest visual, one clear camera move, exact timing beats, less prose. |
| Kling 3.0 | Emphasise motion paths and subject consistency, and describe the start frame and end frame explicitly. Its Motion Control variant follows a stated trajectory almost literally. |
| Google Veo | Natural cinematic prose rather than technical shorthand, and include audio cues — it generates sound natively, so ambience and one foreground effect are worth writing. |
| Sora / Runway | Structure as camera, then subject action, then environment, then style. Keep motion simple and physically plausible; complex multi-action sequences degrade fast. |
| Higgsfield | Editorial realism — lean into skin and fabric texture, natural light behaviour and pose language. |
Pick the Video category, type what you want in plain words, and choose your target model. The tool expands your line into a brief, pre-selects the camera move, lens, lighting and duration to match, then writes one flowing paste-ready prompt in that model's conventions — with the negative list attached and no framework labels left in the output. There is a Storyboard mode for multi-shot sequences, and JSON output if you are feeding an API.
It is a tool that turns a short description into a full shot specification a video model can execute — beat timing across the clip, one named camera move, lens and framing, how the lighting behaves over time, motion physics, an audio cue where the model supports sound, and a negative list. Video prompts fail mostly because people write them like still-image prompts and leave the time axis undefined.
Seedance 2.0 and Seedance 2.0 Fast, Kling 3.0 including the Turbo and Motion Control variants, Google Veo, Sora, Runway, Higgsfield and Grok Imagine, among others. Each one gets prompt text written in its own conventions rather than one generic format, because they genuinely reward different things.
Long enough to name the beats, the camera move, the lighting behaviour, the physics and the negatives — usually eight to fifteen lines for an eight-second clip. Seedance rewards the fullest detail; the Fast and Turbo variants of most models prefer a tighter prompt with the strongest visual first.
Usually one of three causes: two camera moves competing inside a short clip, a request for text or a logo to be rendered in frame, or no negative list at all. Give it one move, keep type out of the generation and add it in edit, and explicitly exclude flicker, jitter and warped geometry.
Not currently — WEDO AI Studio writes the video prompt, and you run it in Seedance, Kling, Veo, Sora or Higgsfield. Image generation is built in; video generation is not. The prompt is written to be pasted straight into those tools without editing.
Yes. There is a Storyboard mode for sequences, so you can plan a set of shots that cut together — consistent subject, consistent grade, and a camera logic that carries across the cut instead of fighting it.
Type the clip you want in plain words. Get a beat-timed, model-correct video prompt you can paste straight into Seedance, Kling or Veo. 30 free generations.
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