Emma

Emma is a short film that explores the fluidity of identity in the age of generative AI.
It presents the emergence of a digital self — not as fiction, but as an act of presence.

The film unfolds without dialogue or narration, relying entirely on gestures, atmosphere, and emotional tension to portray a being that feels both familiar and unfamiliar. Emma is not a character in a story — she is a constructed version of the self, shaped to inhabit the digital space as something real and felt.

The project was developed through an iterative AI-based workflow.
Starting from a single photograph of the artist, Emma’s face was generated using MidJourney and refined through omni-referencing to achieve coherence. Each scene was created with Runway Gen‑4, placing Emma in naturalistic yet emotionally saturated environments. The soundtrack, composed using Udio, mirrors the visuals with introspective, minimal textures.

The short film marks the beginning of a long-form, living performance.
From the moment of her release, Emma becomes part of the artist’s digital life — appearing in selfies, stories, and everyday traces on the Instagram profile @manuelmacadamia.
Through this gesture, the artist’s digital presence shifts — the same voice inhabiting a different face.

Emma is not just a film — she is a presence.
A practice in becoming.
A recipe for staying human through re‑invention.
She lives at the threshold of fiction and embodiment, where generative AI becomes not just a tool, but a framework for authorship, identity, and gentle resistance.