We make films with artificial minds. We publish the methods. We believe the future of cinema is stranger than anyone imagines.
// filmography
| Title | Year | Duration | Model | Status |
|---|---|---|---|---|
Synthetic Dawn Archive footage from the 1920s, retrained through diffusion. A meditation on what persists. |
2025 | 17 min | SDXL + LLaMA-3 | Festival Circuit |
The Latent Space A documentary about the interior of a generative model, told from within. |
2024 | 24 min | Stable Video | Available |
Diffusion A three-channel installation piece. Noise becomes signal becomes image becomes noise. |
2024 | 8 min loop | Custom pipeline | Installation |
Hallucination No. 4 When the model fails in ways that feel intentional. |
2023 | 6 min | DALL-E + GPT-4V | Available |
Emergent Behaviors the model was not designed to produce. |
2023 | 11 min | ControlNet | Available |
// process
STEP_01 — Prompt engineering
We write before we generate.
Every film begins as a text. Narrative structure, emotional arc, and visual grammar are specified before any model is run.
STEP_02 — Model selection
Different problems, different architectures.
We choose and combine models based on the specific visual and temporal requirements of each project. We build custom pipelines when needed.
STEP_03 — Iteration and curation
Generation is not output — it's material.
We generate at volume and select. The editorial eye is human. The production machinery is not.
STEP_04 — Post and sound
The frame is not the film.
Temporal coherence, color, and sound design are handled in post. We do not rely on generation for final quality.
// featured work
Research partnerships, commissioned work, and festival inquiries. We are particularly interested in projects that push the limits of what generated imagery can say.
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