LoRA character. Lip-synced jingle. B-roll. Final MP4.

A FLUX LoRA character model is fine-tuned on the reference photos via FAL AI. The training locks in the subject's face, build, and distinguishing features — the same person appears consistently in every generated frame.

Claude writes the ad script and jingle lyrics from the brief. ElevenLabs generates the voice track complete with lip-sync timing metadata — every phoneme mapped to a millisecond timestamp for the sync step that follows.

The Kling video model on FAL generates contextual B-roll clips from scene descriptions in the script. Product in use, lifestyle moments, location shots — rendered to match the brand aesthetic without a single camera.

The LoRA character is rendered speaking the jingle using ElevenLabs timing metadata — OmniHuman on FAL drives the facial animation. The result is the same recognizable subject, mouth moving in perfect sync with the generated voice track.

ffmpeg stitches the lip-synced anchor clip, B-roll clips, jingle audio, and lower-third text overlays into the final branded MP4 — ready for Facebook, Instagram, or broadcast, at any aspect ratio.

Ad script, jingle lyrics, scene-by-scene B-roll prompts, and lower-third copy — all generated from a single structured brief.

FLUX LoRA fine-tuned on reference photos. Consistent subject likeness across all generated still and video frames.

Scene-level B-roll clip generation. Text-to-video with camera motion controls and scene duration targeting.

Drives facial animation from ElevenLabs phoneme timing data. Renders the LoRA character speaking the jingle with accurate mouth movement.

Voice synthesis with phoneme-level timing metadata exported alongside the audio file for OmniHuman to consume downstream.