style-locks

Visual consistency across scenes uses STYLE_LOCK to define global guidelines—aspect ratio, camera angle, lighting, color palette, materials, background, and post-processing style—applied uniformly. CHARACTER_LOCK ensures individual characters retain consistent colors, features, and outfits. NEGATIVE_LOCK prevents anti-patterns like watermarks or lighting errors, keeping the entire narrative visually coherent.

CHARACTER_LOCK maintains per-character appearance consistency by locking colors, distinguishing features, and outfit details across all scenes. Combined with global STYLE_LOCK guidelines, characters remain recognizable and visually unified even when AI regenerates images for different scenes.

Define a STYLE_LOCK with precise visual constraints—lighting conditions, color palette, camera framing, and material properties—before generating scenes. Apply CHARACTER_LOCK for each character and NEGATIVE_LOCK to exclude unwanted elements. This constraint system prevents the AI from drifting toward inconsistent aesthetics across your 1 title scene plus 5 story scenes.

Yes. The Skill generates coherent multi-scene videos with AI images, narrated audio via ElevenLabs voice mapping, and automated assembly using ffmpeg into 1080×1080 MP4 format at 30fps with H.264 video and AAC audio, ensuring narration synchronizes with visual consistency locks.

Style locks suit educational content, children's stories, social media videos, and character-driven narratives where visual consistency builds recognition and trust. Any multi-scene story requiring persistent character appearance and unified visual tone benefits from STYLE_LOCK, CHARACTER_LOCK, and NEGATIVE_LOCK enforcement.

NEGATIVE_LOCK prevents common AI generation errors—watermarks, text inconsistencies, unwanted lighting shifts—that break immersion. Combined with STYLE_LOCK and CHARACTER_LOCK, negative constraints create a complete safety net ensuring the final video maintains professional quality and narrative coherence.