Video Storyboard Prompt Sequencer

Plan multi-shot AI video sequences with consistent scene and character prompts

Multi-panel builder for shot-by-shot AI video generation. Maintains character and environment consistency tokens across panels and exports a clean, numbered prompt sequence. Runs entirely in your browser. It runs free in your browser on Gera Tools, with nothing uploaded.

Last updated Source: Gera Tools

How do I keep a character consistent across AI video shots?

Repeat an identical, detailed character description in every prompt — same name, clothing, age, and distinguishing features. This tool prepends those tokens to each shot so they never drift.

Storyboard prompt sequencer for AI video

A film is many shots, not one long take — and AI video works the same way. The trick to a coherent multi-shot sequence is consistency tokens: an identical character and environment description repeated in every prompt. This sequencer manages those anchors for you and exports a clean, numbered prompt list.

The core problem: identity drift

Current AI video models generate each clip independently. If you write “a woman in a green parka” in shot 1 and “a woman in a green parka” in shot 5, the model may render two different women. The parka might change shade or style. The face will almost certainly differ. This identity drift is the most common failure mode in AI film projects, and it gets worse the more shots you have.

The practical fix is to make the character description longer, more specific, and byte-for-byte identical across every prompt. Even small rewordings — “green jacket” instead of “green parka”, “woman in her 30s” instead of “woman, 30s” — give the model enough latitude to drift. The sequencer solves this by storing the character anchor once and pasting it unchanged into every generated prompt.

How it works

You define two anchors once — a character description and an environment — then write a one-line action for each shot. The sequencer builds each prompt as:

[character anchor] + [environment anchor] + shot action + camera

Because the anchors are byte-for-byte identical across shots, the model is far more likely to render the same person and place in each clip. You generate the shots one at a time and assemble them in any editor.

Structuring a shot list

Think of each entry as a single camera setup: what the subject does, where the camera is, and whether it moves. For example:

ShotAction descriptionCamera
1Subject walks through door, looks aroundWide static
2Subject’s face as she recognizes someoneClose-up push-in
3Subject crosses the room toward the cameraMedium tracking
4Subject reaches out her hand to greetOver-shoulder, tight

Each line stays narrow — one action, one camera move. Adding too much to a single shot produces motion confusion; leave the complex action to the assembly cut.

Tips for consistent sequences

  • Be specific in anchors. “A woman, 30s, short red hair, green parka, pale complexion, small silver earrings” holds much better than “a woman”. Vague anchors drift.
  • Vary action, not identity. Change what happens and the camera per shot; never reword the character description between shots.
  • Keep shots short. 3–5 seconds each — short clips preserve identity and motion, and they cut together more cleanly than long ones.
  • Match lighting and time of day. Add the same lighting phrase to the environment anchor so shots don’t jump between noon and dusk.
  • Generate in order. Some models (particularly image-seeded generators) can use the last frame of shot N as the first frame of shot N+1. Even if yours does not, generating in order keeps your mental model clear.