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The promptlibrary

22 AI film prompts, free to copy. No account, no email, no download.

Updated as the tools change8 categories
The Library

22 prompts in the library

  • City establishing shot at first light

    Establishing Shots · Google Veo, Kling, Runway

    Aerial establishing shot of [CITY] at dawn, camera drifting slowly forward at 400 feet, low golden sun raking across building faces, long shadows down the avenues, thin ground haze between towers, anamorphic lens, shallow horizon curvature, 24fps, no people visible, no text.

    Swap in [CITY]

    Why this works +

    Three things make an establishing shot read as cinematic rather than as stock footage: a stated altitude, a single motivated light source, and one atmospheric element. Naming the drift speed keeps the model from adding the fast orbiting move it defaults to. The explicit 'no text' matters — generative video will happily invent signage and it never survives a client review.

  • Interior that establishes scale

    Establishing Shots · Midjourney, Google Veo

    Wide interior of [LOCATION], single human figure small in frame at lower third for scale, ceiling visible, light falling from one high window camera left, dust suspended in the beam, symmetrical composition, 25mm lens, deep focus.

    Swap in [LOCATION]

    Why this works +

    Scale needs a reference. A figure placed deliberately at the lower third does more work than any adjective about size. 'Ceiling visible' stops the model cropping into a mid-shot, which is its habit when asked for interiors.

  • Location at two times of day

    Establishing Shots · Midjourney, Runway

    [LOCATION], identical camera position and lens, matched framing, first frame at blue hour before sunrise, second frame at midday, everything else in the scene unchanged — same vehicles, same signage, same weather. Photographic, not illustrated.

    Swap in [LOCATION]

    Why this works +

    Time-passage cutaways depend on the frame not moving. Saying 'identical camera position' and then listing what must stay constant is far more reliable than asking for a time-lapse, which tends to produce two unrelated images.

  • Slow push-in on a subject

    Camera Movement · Runway, Kling, Higgsfield

    Slow dolly push toward [SUBJECT], moving roughly one foot per second, subject stationary and centred, background compressing behind them, focus held on the eyes throughout, no zoom, no handheld shake, locked horizon.

    Swap in [SUBJECT]

    Why this works +

    Generative video over-moves by default. Giving the move a real-world speed — a foot per second — and then explicitly ruling out zoom and shake is what keeps it restrained. 'Background compressing' asks for the optical effect of a long lens, which reads as a dolly rather than a digital push.

  • Handheld that feels operated, not shaky

    Camera Movement · Runway, Kling

    Handheld medium shot following [SUBJECT] walking, operator matching their pace from three feet behind and slightly left, small natural corrections in framing, weight visible in the movement, no stabilisation, no jitter or vibration.

    Swap in [SUBJECT]

    Why this works +

    There is a difference between handheld and shaky, and models conflate them. Describing an operator — their distance, their position, the fact they are correcting — produces motion with intent behind it. 'No jitter' rules out the buzzing artefact these tools add when they hear handheld.

  • Reveal from behind a foreground object

    Camera Movement · Runway, Google Veo, Higgsfield

    Camera trucks slowly right, starting with [FOREGROUND OBJECT] filling frame left, revealing [SUBJECT] in the middle distance as the move completes, foreground stays soft and out of focus, subject in focus, continuous single take.

    Swap in [FOREGROUND OBJECT] · [SUBJECT]

    Why this works +

    Reveals are the cheapest way to add production value, and models handle them well when the foreground is named as a specific object rather than described as 'a foreground element.' Stating 'continuous single take' prevents an invented cut halfway through.

  • One hard source, no fill

    Lighting & Mood · Midjourney, Runway, Kling

    [SUBJECT] lit by a single hard source from camera left at 45 degrees, no fill light, shadow side falling to near black, sharp shadow edge, deep contrast, black background, monochrome.

    Swap in [SUBJECT]

    Why this works +

    The most common failure in generated portraits is soft, even, sourceless light — it reads as a render. Naming one source, its position and its quality, then explicitly refusing fill, is what produces a photographed look. 'Shadow side falling to near black' is the instruction that does the most work.

  • Scene lit only by what's in frame

    Lighting & Mood · Midjourney, Google Veo

    [SCENE] lit entirely by practical sources visible in the shot — [LIGHT SOURCES] — no additional film lighting, light falling off naturally with distance, deep shadows in the corners of the room, warm sources against cool ambient.

    Swap in [SCENE] · [LIGHT SOURCES]

    Why this works +

    Practical lighting is what makes an interior feel like a real place. The key phrase is 'falling off naturally with distance' — inverse-square falloff is the thing models skip, and its absence is why generated interiors look flat and evenly bright.

These are starting points, not formulas. Generative models change constantly, and the same prompt will give different results across tools and versions — treat every one of these as a first draft to push against. Nothing here needs an account, an email address or a download.

Write your own

Anatomy of a prompt

Most prompts that work are built the same way. Once you can see the structure, you can write your own instead of hunting for one that matches.

  • Subject

    Who or what is in frame, described specifically.

    A welder in her fifties, visor up

  • Framing & lens

    How close, and through what glass. This alone changes the whole feel.

    Medium close-up, 85mm

  • Light

    One named source with a direction and a quality. Sourceless light is what makes an image read as a render.

    Single hard source from camera left, no fill

  • Movement

    For video. Give it a real-world speed or it will over-move.

    Slow dolly push, about a foot per second

  • Atmosphere

    One element that puts air in the frame.

    Fine haze, dust in the beam

  • Exclusions

    What must not appear. Often the highest-value line in the whole prompt.

    No text, no logos, no additional people

The Toolkit
  • Claude
  • ChatGPT
  • Midjourney
  • Photoshop
  • Adobe Firefly
  • Higgsfield
  • Seedance
  • Runway
  • Kling
  • Google Veo
  • ElevenLabs
  • Adobe Creative Cloud
  • Premiere Pro
  • After Effects
  • DaVinci Resolve
  • 8th Wall
  • Drone cinematography tools

Tools inside the workflow — not sponsors or partners. The stack changes as the work demands it.

Go further

Prompts get you a shot.
Process gets you a film.

A good prompt produces one usable frame. Turning a stack of frames into something with a beginning, a middle and a reason to exist is a different skill — and it is what Dr. Ric Mathis teaches in the AI for Creators sessions.

“Technology does not replace the storyteller. It expands what the storyteller can imagine.”

Dr. Ric Mathis