Best prompts for AI video generators: a short form prompt library

You typed "cinematic shot of a man in a city, stunning, 4K, epic" and got four seconds of a waxy face drifting sideways while the camera did nothing. You paid credits for it. Then you tried a "100 viral prompts" list and got the same thing in a different city.

The problem is rarely the model. Most prompt lists were written for widescreen and for adjectives. A vertical short has a different job: something has to move in the first second, the subject has to fill a tall frame, and the clip has to be short enough that the face does not melt. The best prompts for short form AI video describe what moves and how the camera follows it, not how impressive it should look.

This page gives you the formula, the camera, motion and style terms that actually change the output, and 12 copy-ready vertical prompts you can adapt to your niche.

What makes a good AI video prompt for shorts?

A good short form prompt names one subject, one visible action, one setting, one camera move, the lighting and a style, framed for 9:16, with the most important part first. That is it. Everything else is detail.

Kling's own prompt guide uses a seven part formula: subject, action and motion, environment, camera movement, lighting, style and pacing, constraints. Google's Veo guide lists almost the same elements and adds audio. Luma's guide recommends 100 to 150 words and putting the key details in the first 20 to 30 words, because models weight early text more heavily.

For vertical shorts, write it in this order:

[Subject, specific] [does one visible action], [setting, time of day].
[Shot size] in vertical 9:16 framing, [one camera move].
[Lighting]. [Style]. [Pacing].
Audio: [sound or line, in its own sentence].
Avoid: [list of unwanted items].

Two definitions you need. Text to video means the model builds the shot from words alone. Image to video means you attach a starting image and the prompt only describes what moves. For anything with a repeating character or product, image to video wins, and the prompt gets shorter.

How do you frame prompts for vertical 9:16 video?

Tell the model the frame is tall and put the subject in the middle third, close enough to fill it. Most generators have an aspect ratio setting; set it to 9:16 and also say "vertical 9:16 framing" in the prompt, because some models compose for widescreen and crop.

Rules that hold across Veo, Kling and Seedance in vertical:

• Go tighter than you think. A "wide shot" in 9:16 puts a tiny person in a big sky. Use medium, medium close up and close up for people.
• Prefer vertical and depth moves. Push in, pull back, tilt up, tilt down and pedestal use the tall frame. Long sideways tracking shots lose the subject off the edge.
• Centre the subject. Captions sit near the bottom and app buttons on the right. Say "subject centred, clear space in lower third" when you plan to add text.
• Motion in the first second. Put the action verb early so the clip starts moving instead of easing in.

Tip: If your model keeps composing sideways, add "full body fits a tall vertical frame" or "framed for a phone screen". It is plain language, and it works more often than technical terms.

Which camera terms work in AI video prompts?

Use one camera move per clip. Luma's guide states it directly: one camera movement per generation. Two moves in one prompt usually produce a wobble that does neither.

Shot sizes matter as much as moves: extreme close up, close up, medium close up, medium, wide. Pick one. The r/aipromptprogramming camera guide puts it as purpose first: static to focus attention, slow push or pull for intimacy or scale, orbit to show a subject off.

Which motion and style terms change the output?

Motion terms describe what the subject does over time, and they matter more than style words on newer models. One creator on r/aitubers who moved from Kling to Seedance 2.0 found that his library of "volumetric, shallow depth of field, film grain, golden hour" got mediocre results there. What worked was describing behaviour: "a young woman slowly turns toward the camera, expression shifting from distracted to surprised".

Motion words that help:

• Speed: slowly, suddenly, in one smooth motion, in slow motion, time lapse.
• Change over time: expression shifts from X to Y, steam rises, the light flickers, fabric settles.
• Order: first, then, finally. Models follow sequence words better than a list of actions.

Style words that still earn their place:

• Lighting: soft window light, hard noon sun, neon signs reflecting on wet pavement, single desk lamp.
• Look: handheld documentary, 35mm film look, clean studio product shot, 3D animated, stop motion clay.
• Lens: shallow depth of field, 50mm, wide angle, fisheye.

Cut "stunning", "epic", "masterpiece", "ultra realistic 8K". They cost words and change little.

12 copy-ready short form prompts by niche

Each prompt below is built for a 4 to 6 second vertical clip. Swap the bracketed parts for your niche. These are templates, not guaranteed results: every model reads them a little differently, so expect one or two tries.

1. Hook: POV reveal

POV of a hand pushing open a wooden door in a dark hallway, revealing a
small room lit by hundreds of candles. Vertical 9:16, point of view shot,
slow push in through the doorway. Warm flickering light, handheld realism.
Audio: a creaking door, then a soft hum.
Avoid: text, watermark, people.

2. Talking character line

A tired night shift nurse in blue scrubs sits on a hospital stairwell step,
looks up at the camera and smiles slightly. Medium close up, vertical 9:16,
static shot. Cool fluorescent light, documentary look.
The nurse says: "Nobody tells you about the 4am quiet."

3. Product orbit

A matte black water bottle stands on a wet stone surface as droplets slide
down its side. Close up, vertical 9:16, slow orbit around the bottle.
Hard side light, dark background, clean studio product shot.
Avoid: logos, text, hands.

4. Food macro

Thick honey pours onto a stack of pancakes and slowly spreads over the edge.
Macro close up, vertical 9:16, slow pull back to reveal the full plate.
Soft morning window light, shallow depth of field.

5. History or story b-roll

A Roman soldier in a red cloak stands on a stone wall at dawn, wind moving
his cloak, then he turns his head toward distant smoke. Medium shot from a
low angle, vertical 9:16, slow tilt up. Overcast light, muted colours,
35mm film look.

6. Satisfying process

A potter's hands shape wet clay on a spinning wheel, the bowl rising in one
smooth motion. Close up from above, vertical 9:16, static shot.
Soft studio light, earthy colours, calm pacing.

7. Nature scale

A lone hiker in a yellow jacket stands on a cliff edge as clouds roll below.
Medium shot from behind, vertical 9:16, slow pedestal up to reveal the
valley. Golden hour light, light wind.

8. Motivation or finance

A young man at a small desk at night closes a laptop, leans back and
exhales, expression shifting from stress to relief. Medium close up,
vertical 9:16, slow push in. Single desk lamp, dark room, handheld.

9. Animal comedy

A golden retriever sits at a kitchen table wearing reading glasses and
slowly turns a newspaper page with its paw. Medium shot, vertical 9:16,
static shot. Bright kitchen light, warm realistic look.
Audio: a page rustles, a clock ticks.

10. Animated explainer

A small 3D animated robot walks along a glowing circuit board and stops to
look at a blinking light. Low angle close up, vertical 9:16, slow orbit.
Soft blue light, clean 3D animation style, playful pacing.

11. Transition shot

A city street at night with neon signs, then the camera whip pans to the
right into a quiet bedroom. Medium wide, vertical 9:16, whip pan.
Neon light to warm lamp light.

12. Image to video (attach your character image)

The woman in the attached image slowly lifts her coffee cup, looks out the
rain covered window, then looks back at the camera. Keep her face, hair and
green sweater exactly as in the image. Medium close up, vertical 9:16,
static shot. Grey daylight.

Notice what prompt 12 leaves out: her looks. The image carries the identity, so the words only describe motion.

How do you prompt dialogue and sound?

Put audio in its own sentence and name who speaks. Google's Veo guide uses the pattern "the man in the red hat says: Where is the rabbit?" and recommends keeping audio descriptions separate from the visual description. Short lines work best: one sentence a speaker per 4 to 6 second clip.

If you want a longer voiceover, generate it separately with a voice tool and keep the clip silent. That gives you control of pacing in the edit. Our comparison of Sora, Veo and Kling for short form covers which model handles spoken lines best right now.

How do you get usable clips on the first try?

You raise your first try rate by keeping clips short, using a reference image and changing one thing per rerun. No prompt hits every time, but these steps cut wasted credits:

1. Write the shot list first. One line per clip: who, what moves, camera. A 30 second short is usually 6 to 8 clips.
2. Make reference images for any character or product that repeats, and attach them to every clip.
3. Generate at the shortest useful length. The Seedance creator above found drift past about six seconds and now makes 12 to 15 clips of 4 to 5 seconds for a 60 second video.
4. Test at low resolution, then rerun the winner at full quality.
5. When a clip fails, change one thing. Swap the camera move, or the action, not both. Note what you changed.
6. Keep a rules file. Every failure becomes one line ("orbit plus dialogue drifts, use static for lines") that you paste into the next prompt.

Watch out: In an r/aitubers thread about consistent AI documentaries, the top answer pointed out that channels posting long videos do not generate every shot as video. They make still images, animate only 10 to 20% of them, and pan and zoom the rest. For shorts, the same trick saves credits on filler shots.

The AI Videos pack takes this further with a JSON shot list format: each scene gets its own time window, camera, action, dialogue and sound fields, so the model films your list line by line instead of summarising a paragraph.

What goes wrong with AI video prompts?

The same handful of mistakes cause most bad clips, and Reddit threads repeat them constantly.

• Adjective stacking. "Epic, cinematic, ultra detailed" with no verb. The model has nothing to animate.
• Two camera moves. "Orbit while zooming and tracking" gives a confused wobble.
• Too much action. Three things happening in five seconds. Split them into three clips.
• Writing "no". "No text" can add text. List unwanted items after "Avoid:" instead, as Google's Veo guide advises.
• Brand names and logos. They trigger content refusals on many tools and readable text usually comes out garbled anyway. Luma's guide says to add logos and text in post.
• Long clips with a recurring face. Identity drifts. Cut short.
• Rewriting after every failure. You lose the information about what broke. Change one variable at a time.
• Copying widescreen prompts. "Wide establishing shot" works in 16:9 and wastes a vertical frame.

Credits add up quickly when you guess. If you want to know what a month of trial and error costs, see our breakdown of what it costs to make AI videos per month.

Which AI video generator should you use these prompts with?

These prompts work on any current text or image to video model, but each has habits. As of November 2026, Kling 4.0 supports 3 to 30 second clips according to Kling's guide and responds well to camera language. Veo is strongest when a character speaks. Seedance responds better to behaviour than to cinematic adjectives, according to creators who switched. Our guide to the best AI video generator for YouTube Shorts compares them on price and output.

Whatever you pick, a strong prompt does not guarantee views. Hooks, pacing and the edit decide whether people watch, and results vary widely between channels.

Where to go from here

1. Pick one niche and copy the two or three prompts above that fit it.
2. Make one reference image for your main character or product.
3. Write a 6 to 8 line shot list for one 30 second short.
4. Generate each clip at 4 to 6 seconds, changing one thing per rerun, and keep a rules file.
5. Cut the clips together, add captions and a voiceover, and post.

The AI Videos pack gives you what this page cannot fit: 40 lessons in 6 modules with JSON shot list templates, a prompt checker that catches problems before you spend credits, the character consistency workflow and a daily posting routine, for $19, or all 16 Money Printer packs for $39.