WInterfall - RunwayML GEN:48

AI-assisted short film produced solo in 48-hour for GEN:48 Aleph Edition challenge - end-to-end generation, editing, sound, and delivery.
Tools
RunwayML, Adobe Premiere, ChatGPT
Skills
AI-assisted Filmmaking, Creative Direction, Editorial Pacing, Sound Design, Visual Storytelling, Post-Production, Delivery Under Tight Deadlines
OUTPUT
3 minute short film within 48 hours
Project Year
2025
Role
Solo Producer - Director, Editor, Sound & Delivery
Project Type
AI Short Film / Generative Video
A short about a quiet refuge shattered by corporate enforcement, forcing a hero to rise up.

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Winterfall is an AI-assisted short film created as part of a 48-hour RunwayML GEN:48 Aleph edition challenge.

The goal was to produce a complete short-film under extreme time constraints, owning the full pipeline from concept and generation through editing, sound design, and final delivery.

Centered on contrast, calm craft and community interrupted by occupation then resolved through a restrained response rather than spectacle. The goal was authored tone under speed: clear beats, controlled escalation, and a finish that lands emotionally without overexplaining.

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Pipeline

I locked the emotional arc first (refuge, disruption, response, quiet aftermath), then generated coverage to support clarity and pacing. Curation focused on readable silhouettes in snow and low light, with editing and sound carrying cohesion so the climax feels intentional and the ending stays restrained.

Highlights

Learnings

Look Development

Character & Wardrobe
Environments
Mood/Lighting

Daniel Naraindas
Creative Technologist & 3D Generalist