Update final Qwen model assets

assets/qwen3_omni_lora_pipeline.prompt.md

@@ -0,0 +1,25 @@
+# Qwen3-Omni LoRA Pipeline Figure Provenance
+
+This presentation figure was generated with ChatGPT image generation and then
+committed as a public visual asset for the Ropedia Xperience-10M task-suite
+project.
+
+Figure file:
+
+- `docs/assets/qwen3_omni_lora_pipeline.png`
+
+Design brief:
+
+- Show the end-to-end flow from valid Xperience-10M raw episodes into
+  episode-level split validation, parallel media and sensor export,
+  Qwen3-Omni-compatible JSONL records, video/audio/text inputs, sensor-bridge
+  features, LoRA adapter training, and final outputs.
+- Make clear that train/validation staging and held-out test evaluation are
+  separate steps.
+- Use the dark green Ropedia-style visual language already used by the website.
+- Do not show raw private data, model weights, or unverifiable metrics.
+
+Scope:
+
+- The figure documents the prepared Qwen3-Omni LoRA training path.
+- It is not a completed held-out training metric report.