Text2Movie

The film language each AI video model's docs let you write

Directing note: planning cuts inside one clip

A few models let one generation hold several shots, numbered with their own durations. That keeps light, cast and place consistent across the cut, because one pass makes every shot. As of 2026-09-25.

Planning cuts inside one clipThe note in 4 steps: Shot list, Durations, One pass and Edit.Shot listWhere modelsdiffer.thenDurationsWhere modelsdiffer.thenOne passThe decisionat this point.thenEditWhere modelsdiffer.
Fig. 1 Left to right, in the order the note takes.

Elsewhere each shot is its own generation and the cut happens in an editor, where continuity has to be matched by hand.

Planning a scene as a shot list first makes either route easier.

1From the docs

To manually specify the framing of the main subject within the video, use the Shot size dropdown menu to select an option.

Adobe, Firefly help: generate videos using text prompts

Close-up : frames the subject tightly, typically focusing on the face to emphasize emotions or a specific detail.

Google Cloud, Veo video prompt guide

AI-crafted cinematic moves like crash zooms and crane shots, fully controllable.

Higgsfield, camera controls

2The film language, written for you

Where “Planning cuts inside one clip” has to be written by hand, SceneMixer's pipeline writes the shots; its guides explain:

Its character becomes the tone of the episode’s own score, which is planned from the episode’s storyboard — usually one to three pieces — and mixed under the voices.

SceneMixer, Remake: How Spoken Lines and Music Are Read From the Clip, and What Ends Up in Your Episode — “Is the source music reused?” (read 2026-10-13)

SceneMixer writes dialogue into the script analysis, assigns each line to a shot with a speaker and a short delivery note, and the video model performs it — picture and audio generated together, so the mouth forms that sentence in the language you chose.

SceneMixer, AI Dialogue Generator (read 2026-10-13)

3Other notes

Examples are quoted from the models' docs; no model was run.