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Trains a real fal.ai LoRA fine-tune (fal-ai/flux-lora-fast-training) on frames extracted from the real fal.ai-generated room-visualization MP4s already captured this session, so display-layer generation has a specific trained style target instead of prompt engineering against a stock model. Architecture boundary: this model only ever produces supplementary synthetic visual/pixel output. It has no path into measured/derived RF, pose, vitals, identity, or confidence values, which remain local and authoritative. Real run: request 01a060b2-c940-7972-abf9-ea48847eb2ae, 1000 steps, 27 training images, ~$2.04 spend, validated with a real inference call against the trained LoRA (assets/fal-visual-teacher-sample.png).