Everything in the narrated short, but a character from your asset library speaks the hook and the call to action on camera (with its own face and voice), while each beat in between stays a product shot voiced in the same voice, lined up with the beat and captioned, exported as a vertical short with an "AI-generated" label. Pick the character on “Pick the presenter” before running; it needs a front image and a voice in the asset library; real people need a consent declaration, and a cloned voice needs one too. Where a video model is available, the beats in between move, as in the narrated short (the hook and call to action are already presenter video): one more paid video generation per beat, with about (target length minus hook and call to action) ÷ the start node's beat_seconds beats. This copy includes “Put this beat in motion”: the start node's beat_seconds is every beat's length, and the video model you pick has to make that length. Without a video model, open the per-beat loop on the canvas after importing, delete “Put this beat in motion”, “File this beat's clip” and “Mute this beat's clip”, then wire the output of “Paint this beat” into the asset of “Lay it down for this beat's length” — every beat then lays a still for beat_seconds. Or add the template from the in-app gallery: without a video model it is built with stills.
Turn a topic into a creative brief, script and visual bible; characters and locations already in the asset library are reused with their references, and only new ones get a turnaround sheet or concept art — saved to the library — auto-build a 3D blockout with each shot's camera position and move, then generate each shot from a first frame (and a last frame where needed) painted on the blockout — or straight from the turnarounds and the blockout camera move — and assemble, caption and export the video. Cost: by default up to 8 shots, each one video generation plus one or two keyframe images, on top of up to 7 turnaround and location images (none for those already in the library), 5 chat calls and per-shot narration — the most expensive template here; max_shots on the start node caps the shot count, and shot_seconds sets each shot's length (preset to the length the chosen video model can make that is closest to its default).
Remove background hiss, transcribe the video with timestamps, identify pauses, fillers and repetition, then create a cut plan and a cleaned video while preserving the original. Suited to talks and interviews up to about 30 minutes; split longer footage first.
Transcribe a video sentence by sentence, translate each line, lay translated subtitles on the original timecodes, then dub each line and time-compress it back into its own slot. Pick the target language on the translate step (English by default). The original voice is separated out and the background music kept; a voice separation engine must be ready before the workflow starts.
