Prompt to Video

Write what you want to see and get a video clip back. Nothing to upload and nothing to film. The description is the whole input, and the model decides what the shot looks like as well as how it moves.

How to turn a prompt into a video

  1. Describe the shot

    Subject, setting, camera and light, in that order. A prompt is a shot list for one shot, not a summary of a film. The model is being asked to render a few seconds, so describe those seconds and nothing beyond them.

  2. Choose a model

    A long unbroken take, a character who has to survive a cut, and a quick option you are generating twelve of are three different jobs. The picker exists so the model matches the shot rather than the other way round.

  3. Generate and compare

    These models are probabilistic: the same prompt will not give you the same clip twice. Generate a few, keep the one that works, and treat the first result as a draft rather than a verdict.

  4. Take it further

    The clip lands in your library, where it can pick up a voiceover, background music and captions, sit alongside other shots in a longer piece, or go out to YouTube, TikTok and Instagram on a schedule.

What people make with it

Shots that would be impractical to film

An aerial over a coastline at dawn, a street in a city you are not in, a scene set two hundred years ago. Text-to-video is at its strongest where the alternative is a location scout, a permit and a weather forecast that does not cooperate.

Concepting before a shoot

Directors and agencies use generated clips as moving mood boards. A way to show a client the intended movement and grade before anyone books a crew. It is cheaper to argue about the idea in this form than on the day.

B-roll for narrated video

Explainers, essays and documentary pieces need footage under the narration, and stock rarely matches the specific thing being said. Generating the shot against the line is usually faster than searching for something that nearly fits.

Ad variations to test against each other

Run the same concept as several distinct treatments. Different setting, different light, different pace. Let the results decide. The point is to test the edit rather than to reshoot the concept.

Social posts with no source material

A new brand with no photography, a topic with no archive, a launch with nothing to show yet. A prompt is the only input that does not require you to already have something.

Openers, transitions and title beds

Short abstract shots are the least interesting to film and among the easiest things to describe. Texture, light, movement behind a title. They are a good first use if you are unsure the format suits you.

What is prompt to video?

Prompt to video, also called text to video, is the generation of a moving clip from a written description. You write a sentence or a paragraph describing a shot; the model produces frames that plausibly match it and that move coherently from one to the next. There is no source footage and no source image. The description is the entire input.

It is worth being clear about what the model is deciding. In prompt-to-video it chooses everything: the subject and what it looks like, the setting, the light, the lens, the movement. That is precisely why the first attempt often lands better than anyone expected and the fourth feels like a negotiation. You are directing something that has its own opinions, and the prompt is the only instrument you have.

The practical consequence is that specificity buys control. Vague prompts do not produce neutral results, they produce the model's average. That is the most likely shot given a thin description, which is usually the most generic one. Naming the subject, the time of day, the camera behaviour and the mood in concrete terms narrows what is being averaged over.

Prompt to video is the broadest of the generation techniques, and the other ones are best understood as it with a constraint added. Fix the first frame and you have image-to-video. Fix the words and their order and you have script-to-video. Each constraint hands one decision back to you and takes it away from the model.

Prompt to video vs image to video vs script to video

These three sit next to each other in every tool list as though they were competing products. They are not. They are the same underlying capability with different amounts of control handed over, and picking wrongly is the most common reason a generation disappoints.

Prompt to video gives the model the most freedom. Use it when the subject is not yet decided, or when what you need is a plausible instance of something rather than a specific one: a coastline, a laboratory, a crowd. It is the fastest route from an idea to something you can look at, and it is the right tool for exploration precisely because you are not obliged to produce anything first.

Image to video takes the first decision away from the model. Your image becomes the first frame, so the subject keeps its real shape and colour. Reach for it whenever the thing on screen has to be a particular thing. Your product. A character who must look the same in shot six as in shot one. An archive photograph that has to stay recognisably itself. A model that reinvents your product has produced the wrong clip however good it looks.

Script to video takes the words away from the model. The narration is fixed, and the visuals are generated to sit under it beat by beat. Use it when the argument matters more than any individual shot. Explainers, essays, anything where the line has to land exactly as written.

They combine more often than they compete, and the combination is where most finished work comes from. A common pattern for a series: prompt for stills until the look is right, approve them, then animate each one so the run of clips belongs to the same world. Images come back faster than video, which makes them the cheaper place to be indecisive. Another: write the script first, then generate each shot against its line, so the visuals are answerable to the argument rather than the other way round.

The rule of thumb is simple enough to hold in your head. Decide which part you are unwilling to let the model choose, then pick the technique that protects it. If nothing needs protecting, prompt to video is the right place to start.

Writing prompts that work

  • Describe one shot, not a scene

    A prompt asking for a character who walks in, sits down and then looks up will get a muddled version of all three. Models render a few seconds; write those seconds. Sequences are made by generating shots separately and cutting them together, which is also how film has always worked.

  • Put the subject first

    Front-load the thing the shot is about, then the setting, then the camera, then the light. Prompts that open with three clauses of atmosphere often produce atmosphere with the subject as an afterthought.

  • Use camera language, it is understood

    Wide shot, close-up, slow push in, tracking shot, handheld, shallow depth of field. These terms are precise, they appear all over the training data, and they replace whole paragraphs of hopeful adjectives.

  • Say what the light is doing

    Light is what separates a shot that looks generated from one that looks photographed. Low sun through a window, overcast and flat, a single practical lamp in a dark room. Naming it changes the result more reliably than any style word.

  • Drop the mood words

    "Cinematic", "epic", "stunning" and "4K" are not instructions. They describe how you hope to feel about the output, and the model cannot act on them. Every one of those words is space that could have described a movement instead.

  • Change one thing at a time

    When a generation is close but wrong, rewriting the whole prompt loses whatever was working. Alter the single clause responsible and regenerate. This is slower per attempt and much faster overall.

  • Generate in batches, judge afterwards

    Because output varies between runs, a single result tells you little about whether a prompt is good. Generate several, look at them together, and you will see which parts of the description are landing consistently and which are being ignored.

  • Keep the prompts that worked

    A prompt that produced a good shot is a reusable asset, particularly for a series that needs a consistent look. Keep the phrasing and vary only the subject. That is far more reliable than trying to describe the same style from scratch each time.

Models available

  • Veo 3.1Google's photoreal generation, with sound. Up to 12 seconds.
  • Kling 3Cinematic motion that holds a character across a cut.
  • Seedance 2.0ByteDance, up to 24 seconds. The long shots.
  • Grok VideoxAI. Fast image-to-video, and text-to-video.
  • Nano Banana 2Google's best stills. Generation and editing, to 4K. The fast way to settle a look before anything moves.

Questions

What is the difference between prompt to video and text to video?
Nothing. They are two names for the same technique. Both mean generating a clip from a written description with no source footage or image. "Text to video" is the older phrasing; "prompt to video" reflects how people actually work.
How long should a prompt be?
Long enough to name the subject, the setting, the camera behaviour and the light, and no longer. Two or three specific sentences usually beat a paragraph, because extra clauses give the model more to average across rather than more to obey.
How long can the clip be?
It depends on the model. Seedance 2.0 runs up to 24 seconds, which is the one to choose when a shot has to hold without a cut. Longer pieces are made by generating several shots and assembling them.
Why does the same prompt give me different results?
These models are probabilistic by design. Variation is a feature of how they work, not a fault. It is why generating a handful and choosing between them is the normal way to use them.
Can I keep a character consistent across several clips?
Text prompts alone make this hard, because every generation starts fresh. The reliable approach is to settle the character as a still image first and then animate it, which keeps the same face across shots. Kling 3 is the model to reach for when a character has to survive a cut.
Can I add narration, music and captions?
Yes. Generated clips go to your library, and from there the editor adds voiceover, background music and captions, so a loose shot becomes a finished post.
Can it post the finished video for me?
Yes. Connect YouTube, TikTok and Instagram and set when a video should go live, and it publishes on that schedule rather than waiting on a manual upload.
Can I use the videos commercially?
What you make is yours. Check the terms for the specifics before you build a campaign on it.

Prompt to Video

Write what you want to see and get a video clip back. Nothing to upload and nothing to film. The description is the whole input, and the model decides what the shot looks like as well as how it moves.

Start creating