Offline Ambient-Controlled Latent Diffusion: Architecture, Telemetry, and On-Device Evaluation
Most mobile image-generation applications are thin clients over cloud services, leaving outputs hard to audit. We present an Android latent-diffusion application that runs entirely on-device and is driven by the ambient-light sensor rather than a text prompt, keeping generation, telemetry, and storage local. The contribution is not a new diffusion method but the surrounding measurement workflow: each output is bound to the sensor reading, runtime path, and seed that produced it, giving a per-artifact audit trail for offline analysis. On a single Samsung foldable, one fixed capture of 373 artifacts shows the controller's log-lux input positively associated with output luminance (Pearson $r...
| Authors | Lech Kalinowski, Artur Morys-Magiera, Piotr Miłkowski |
|---|---|
| Primary category | eess.SP |
| Published | 4 August 2026 |
| Last updated at source | 4 August 2026 |
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