---
title: "Text to video"
description: "Generating video from a written prompt alone — what it is good for, the coherence limits every model shares, and how to write a shot description."
url: "https://higgsfield.wiki/text-to-video/"
verified: "2026-08-26"
publisher: "Higgsfield Wiki — independent reference, not affiliated with Higgsfield AI"
---

# Text to video

Generating video from a written prompt alone — what it is good for, the coherence limits every model shares, and how to write a shot description.

Text-to-video produces a clip from a description. Every frame is invented, which makes it the most creatively open mode and the least controllable one.

## What it is genuinely good for

  - **Exploring an idea** before committing to a specific look.
  - **Generic or abstract footage** — weather, textures, crowds, landscapes, b-roll where no particular thing must appear.
  - **Concept work** where the point is the feeling rather than the specifics.

It is a poor fit whenever a particular product, person or layout must appear. Description cannot summon a specific thing — for that, fix a frame and use [image to video](/image-to-video/).

## Write it as a shot, not a story

A few seconds holds one action. The most common failure is a prompt describing a sequence of events, which the model compresses into incoherence rather than choosing one. A workable structure:

  - **Shot size and subject** — "Close on a woman's hands kneading dough".
  - **The single action** — what changes during the clip.
  - **Camera** — static, slow push in, gentle orbit. One move only.
  - **Lighting** — this carries most of the perceived production value.
  - **Setting** — enough to place it, no more.

## Limits shared by every model

| Limit | What you see | Work around it by |  |

| Duration coherence | Quality decays over the clip | Generating short, cutting several together |  |

| Hands and manipulation | Fingers merge; grip fails | Framing to avoid close hand work |  |

| Readable text | Signage warps frame to frame | Adding text in post |  |

| Object permanence | Things drift, merge or vanish | Simpler scenes, fewer objects |  |

| Specific likeness | The person is not your person | Supplying a reference frame |  |

## Iterating without wasting credits

Video generation costs far more per run than images. Before spending on video, settle the look as a still — one image generation costs a fraction of one video generation, and the frame you approve becomes the input for a controlled animation. Treating text-to-video as the last step rather than the first is the single biggest saving available.

See [the video generator overview](/ai-video-generator/) and the [model reference](/models/) for which model suits which shot.

## Common questions

### How long can a text-to-video clip be?

Seconds rather than minutes, with the cap set per model. Longer output degrades, so most work is several short clips edited together.

### Why does my clip ignore half the prompt?

Too many competing instructions for the duration. A few seconds holds one action — cut the prompt to one subject and one movement.

### Can I get a specific person or product in the shot?

Not reliably from text. Generate or supply the frame containing it, then animate that with image-to-video.