How to make AI generated movies

Start with a one-line story premise, not a shot list

AI models plan better when you give them intent before detail. Write a single sentence with a character, a place, a want and an obstacle. That sentence becomes the seed the script model expands into acts and scenes.

• Weak: "a woman in a market"
• Strong: "A young kente weaver in Accra risks her last savings to keep her grandmother's loom running"
• Keep it under 30 words so the model has room to invent

Expand the premise into acts and scenes

Generate a script first, then render. A structured script gives every clip a purpose, keeps runtime under control, and lets you fix pacing before spending render time. Aim for 3 acts and 6–12 scenes for a short film.

• One scene = one location + one intention
• Give each scene a beat: what changes by the end of it?
• Trim any scene that does not move the want or the obstacle

Write cinematic shot prompts (the part most people skip)

Video models respond to the vocabulary of filmmaking. A prompt that names shot size, lens, camera move, lighting and mood produces far more film-like results than a description of the subject alone.

• Shot size: extreme wide, wide, medium, close-up, extreme close-up
• Lens and depth: 35mm, 85mm portrait compression, shallow depth of field
• Camera move: slow dolly-in, handheld follow, static locked-off, crane up
• Light: golden hour backlight, hard midday sun, single practical lamp, overcast soft light
• Grade and texture: warm filmic grade, 35mm grain, teal shadows
• Duration and rhythm: 6–8 seconds per shot keeps motion coherent

Use a prompt formula you can repeat

Consistency comes from structure. Reuse the same prompt skeleton for every shot in the film and only change the variables.

[SHOT SIZE] of [SUBJECT + fixed character description],
[ACTION], in [LOCATION, time of day].
Camera: [MOVE] on a [LENS].
Light: [LIGHTING]. Mood: [EMOTION].
Grade: [FILM LOOK]. Duration: [SECONDS]s.

Filled in, that becomes:

Medium close-up of Ama, 24, dark skin, short twists,
indigo kente wrap, threading a wooden loom,
in a Jamestown courtyard at golden hour.
Camera: slow dolly-in on an 85mm.
Light: warm backlight through hanging cloth. Mood: quiet resolve.
Grade: warm filmic, soft 35mm grain. Duration: 8s.

Lock your characters so faces stay consistent

Character drift — the face changing between clips — is the clearest giveaway of an AI film. Define each character once with a reference description or image, then inject that same description into every scene prompt that features them.

• Fix the unchanging traits: age, skin tone, hair, wardrobe, distinguishing marks
• Never re-describe a character differently between scenes
• Re-render a shot rather than accepting a mismatched face — it is cheaper than fixing it in the edit

Give the film an African voice, literally

Voice is where most AI films sound generic. Casting narration and dialogue in the language your story lives in — Twi, Ga, Ewe, Yoruba, Hausa, Swahili or accented English — changes the film from a demo into something that belongs somewhere.

• Write narration for the ear: short sentences, spoken rhythm, no clause stacking
• Mark pronunciation for names and places so the voice model does not flatten them
• Keep one narrator voice for the whole film and separate voices per character
• Record or generate the voiceover before final rendering so shot lengths match the read

Render, review and re-roll selectively

Generate the whole film once at draft quality, watch it end to end, then re-roll only the shots that fail. Judging shots in isolation leads to a film of good clips that does not cut together.

• Re-roll for: warped hands and faces, wrong camera move, broken continuity
• Accept: minor grade differences — you can fix those in the edit
• Only upgrade to 1080p masters once the cut is locked

Edit, mix and export for the platform

Cut the clips to the voiceover, add music under dialogue rather than over it, and export with the aspect ratio and bitrate the destination expects.

• 16:9 for YouTube, 9:16 for TikTok, Reels and WhatsApp status
• Duck music by roughly 8–12 dB under speech
• Add subtitles — most viewers start on mute, and subtitles carry your language to a wider audience