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ruv
5c50fa8588
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).
7 lines
478 B
JSON
7 lines
478 B
JSON
{
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"endpoint": "fal-ai/flux-lora",
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"lora_url": "https://v3b.fal.media/files/b/0aa8c60d/OjaBs6Gi8pMhZqMo79iym_pytorch_lora_weights.safetensors",
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"prompt": "ruviewstyle room visualization, a living room with a glowing cyan pose skeleton overlay, wifi signal arcs radiating across the space, a vitals readout panel, dark tech aesthetic, synthetic sensor visualization",
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"scale": 1.0,
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"source_image_url": "https://v3b.fal.media/files/b/0aa8cf67/JH1qyC3GCKQ9ojkrAUXe9.png"
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} |