Design

kinetic-multicam

Transforms a local talking-head video into a structured video-to-video prompt with motion-blurred camera repositioning and kinetic supers synchronized to spoken phrases.

★ 43 GitHub Stars
78 Score de qualité
1 Fichiers

About this Skill

Use when the user drops or points at a local talking-head video and wants the kinetic supers + rapid camera reposition prompt for video-to-video AI (one real take turned into split-second camera snaps that lock off, with bold motion-graphics text synced to the speech). Triggers on /kinetic-multicam, "kinetic supers", "kinetic typography video", a dropped .mp4 plus a motion-graphics-text + camera request. PT examples for reliability, "faz o prompt de kinetic supers desse vídeo", "gera supers cinéticos com cortes de câmera", "bota motion graphics e câmera nesse take".

Cas d’usage

  • Generate kinetic typography prompts from talking-head footage
  • Plan rapid camera repositioning across a single take
  • Extract short supers from spoken phrases
  • Create English video-generation prompts with localized supers
  • Prepare prompts for Seedance 2.0 Fast

Fonctionnalités

  • Preserves the source video's identity, room, audio, and lip sync
  • Derives timing blocks from speech transcription and phrase boundaries
  • Generates supers from words actually spoken in each block
  • Defines motion-blurred camera whips that lock into stable viewpoints
  • Validates the completed prompt structure and timing

Prérequis

  • Python 3.8+
  • ffmpeg
  • ffprobe
  • Whisper
  • Seedance 2.0 Fast

Agents compatibles

Not specified

Skill files

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