Text-to-Video: A Complete Guide

Text-to-video is the purest form of AI generation: you describe a scene and the model creates footage from nothing. It offers the most creative freedom of any generation method — and demands the most from your prompt. This guide breaks down how to write prompts that land, and how to turn the resulting clips into finished videos.

The anatomy of a strong prompt

A dependable prompt covers five elements: subject, action, setting, camera, and style. For example: 'A lone cyclist (subject) riding down a mountain trail (action) through autumn forest (setting), tracking shot from behind (camera), cinematic, warm colour grade (style).' Each element gives the model a handle.

Order matters less than presence. If you leave out the camera, the model picks one for you; if you leave out the style, you get a neutral default. Name the things you care about, and let the model fill in the rest.

Speak the language of film

The model was trained on real footage, so film vocabulary steers it well. Camera terms — 'wide shot', 'close-up', 'dolly in', 'aerial drone shot', 'handheld' — reliably change the framing and movement. Lighting terms — 'golden hour', 'soft diffused light', 'harsh midday sun', 'moody neon' — reliably change the mood.

Lens and medium words work too: 'shot on 35mm film', 'shallow depth of field', 'anamorphic'. These are not decoration; they measurably shift the output.

One scene per generation

The most common beginner mistake is packing a whole story into one prompt: 'a man wakes up, drives to work, and meets his friend.' The model cannot cut between scenes in a single short clip, so it blends them into something incoherent.

Instead, write one clear scene per generation and assemble the results. Think like a director shooting individual shots, not like a screenwriter describing a montage.

Iterate deliberately

Because generation samples from randomness, no two runs are identical. Treat the first result as a draft. If the composition is right but the motion is off, keep the prompt and regenerate. If the whole thing missed, change one variable — the camera, the lighting, or the style — rather than rewriting everything, so you learn what each word does.

Keeping a short list of prompt phrases that worked for you turns this from guesswork into a repeatable craft.

Work around the weak spots

Text-to-video shares the limits of all generation: hands, legible on-screen text, dense crowds and fast chaotic motion. Write prompts that avoid demanding these. Favour slower motion, single or few subjects, and framing that does not hinge on tiny details. Shorter shots also hide small imperfections better than long takes.

From prompt to published

Generate your shots on the text-to-video tool, pick the strongest takes, and assemble them into a sequence. Add a voiceover or music, then animated captions if there is narration, and export in your target aspect ratio.

For an even more guided experience, the general AI video generator bundles the steps together. When you are producing regularly, the pricing page explains how generation credits work so you can budget your output.

A prompt template you can copy

When you are staring at an empty prompt box, a template removes the paralysis. Try this skeleton: '[camera movement] of [subject] [action], in [setting], [time of day / lighting], [style / medium].' Filled in, that becomes 'Slow dolly in of a chef plating a dish, in a warm restaurant kitchen, evening light, shot on 35mm film, shallow depth of field.'

Keep a short list of skeletons like this for the kinds of video you make most — a product beauty shot, a nature scene, an urban establishing shot. Starting from a proven structure and swapping in the specifics is far faster, and far more reliable, than composing every prompt from nothing.

Sequencing shots into a scene

Because one generation is one shot, telling a small story means generating several shots that belong together. The trick to continuity is repeating your key descriptors across prompts: keep the same subject description, the same lighting, and the same style words so a character or location reads as the same one from clip to clip.

Think in shot lists like a director. An establishing wide shot, then a medium, then a close-up of the same subject creates a sense of place and progression that a single clip cannot. Generate each, pick the best takes, and cut them in order — the result feels composed rather than random.

When a generation misses

Not every prompt lands, and knowing how to diagnose a miss saves credits. If the whole clip warps or melts, your motion language is too aggressive — swap 'dramatic' or 'fast' for 'subtle' or 'slow'. If the composition is wrong, adjust the camera and framing words. If the style is off, change only the style clause so you learn what it controls.

Change one variable at a time and regenerate. Rewriting the entire prompt on every attempt teaches you nothing about what actually moved the result. A patient, one-change-at-a-time habit turns text-to-video from a slot machine into a controllable instrument.

Planning length, pacing and shot count

Before you generate anything, decide roughly how long the finished video should be and how fast it should move, because that determines how many shots you need. A punchy fifteen-second social clip built on quick cuts might need six to eight short shots; a calmer thirty-second piece might need only four, each held a little longer.

Working backfrom the final duration keeps you from over-generating. It is easy to burn credits producing footage you never use, so sketch a simple shot list first — establishing shot, two or three supporting shots, a closing image — and generate against that plan rather than fishing aimlessly.

Pacing is a creative lever, not just a length calculation. Fast cutting creates energy and suits hype and trends; slower, longer holds create calm and suit storytelling and tutorials. Match the shot count and hold length to the feeling you want, generate a couple of options for your key shots, and you will reach a finished video with far less waste and a much clearer sense of rhythm.