Text-to-Video Prompts That Actually Look Good

A text-to-video model doesn't picture a scene the way a director does. It predicts frames from your words, weighting whatever is most specific. Hand it something vague like 'a woman walking in a city' and it defaults to the most average interpretation it has seen: even framing, flat light, no point of view. The output is technically correct and visually dead, which is the real reason so much AI video looks identical.

Structure fixes that by telling the model not only what to show but how to show it. Name a camera move, a lighting condition, and a mood, and you collapse millions of plausible 'average' outputs down to the narrow cinematic slice you actually wanted. Two people on the same model can land worlds apart: one is describing a subject, the other is describing a shot.

Every prompt that produces clean, cinematic footage is really answering six questions. Flowery language isn't the point; hitting all six clearly is. Picture a shot list compressed into a single sentence.

1. 1

   Subject

   Who or what is on screen, described concretely. 'A weathered fisherman in a yellow raincoat' beats 'a man' because the model now has texture, color, and character to render.

2. 2

   Action

   What the subject is doing, as one clear motion. Movement is the thing video does that a still can't, so name it: 'pulling a net over the side of the boat,' not just 'standing.'

3. 3

   Setting

   Where and when. Time of day, location, and weather anchor the scene. 'On a small fishing boat at dawn, fog rolling over the water' hands the model a world to build.

4. 4

   Camera move

   How the shot is captured: 'slow dolly-in,' 'low-angle tracking shot,' 'handheld follow,' 'static wide.' This one phrase is the biggest lever you have for a cinematic feel.

5. 5

   Lighting

   The light source and its quality: 'golden-hour backlight,' 'soft overcast,' 'neon rim light,' 'harsh midday sun.' Lighting is what separates 'rendered' from 'shot.'

6. 6

   Style / mood

   The overall look and emotional register, like 'cinematic, shot on 35mm, moody and contemplative' or 'bright, hyper-real, energetic.' This ties the whole frame together.

Once the six layers stick, you can write strong prompts almost on autopilot with a fill-in-the-blanks template. Hold yourself to one shot and one continuous motion.

[Camera move] of [subject, specific] [single clear action], [setting + time of day], [lighting], [style / mood], 9:16

Slot your idea into each blank and the prompt is complete. Filled out, it looks like this:

Low-angle tracking shot of a red Porsche speeding down a coastal highway, late afternoon with the ocean on the right, warm golden-hour backlight and lens flare, cinematic, shot on 35mm film, 9:16

Write the prompt as a shot description, not a wish. Concrete nouns and named techniques (dolly-in, rim light) carry far more weight than 'beautiful.'

— LazyKiwi creator playbook

Nothing internalizes the formula faster than seeing one idea written badly and then well. The strong versions aren't padded for length; every added word is pulling its weight.

The formula travels across models, but each flagship rewards slightly different habits. Tuning to whichever one you're on will save you regenerations.

• Sora 2 handles complex, multi-beat descriptions and holds up well on physics and continuity. Lean into rich, narrative prose and named camera language, since it follows full cinematic sentences closely rather than keyword lists.
• Veo 3 shines on photorealism and native audio, so describe the soundscape too ('ambient rain, distant traffic') when sound carries the shot. Be explicit about camera moves and lighting and it returns polished, broadcast-grade frames.
• Kling is strong on expressive human motion and dynamic action, and it's great value for fast iteration. Keep prompts on one clear subject and one strong movement; it can drift in crowded scenes, so simplify the setting and let the motion lead.

Whatever you're running, generate the same prompt twice before you rewrite it. The variation between seeds tells you whether the problem is your prompt or just an unlucky roll.

Cut these five and your first-generation hit rate climbs fast. You won't nail a perfect first try every time, but a prompt that's specific enough makes 'good' the likely outcome instead of a lucky one.