Add private Vevo2 voice studio mode

2026-09-09 13:38:00 +02:00
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+# Vevo2 Voice Conversion on Athena
+
+This directory contains Athena's private Vevo2 voice-conversion studio.
+
+- Code: `open-mmlab/Amphion` commit
+  `26f6883110181f1dbfe95c70a7c7dbaf4de5f42a` (MIT)
+- Weights: `RMSnow/Vevo2` (CC BY-NC-ND 4.0)
+- Runtime: PyTorch 2.7.1 + CUDA 12.8 inherited from Athena's tested audio
+  separator image; the historical Amphion torch 2.0/cu118 pins are not used.
+- Storage: `/data/voice/vevo2`; removing that directory and the test image
+  removes all downloaded artifacts.
+- Private UI: `http://192.168.1.212:8008` through WireGuard only.
+- Output: uncompressed mono WAV, 24 kHz.
+
+The 9 September technical gate converted the official 8.6-second speech sample
+through the production HTTP API in 2.342 seconds. A warm service start loaded
+the model in 12.216 seconds, and peak CUDA allocation during conversion was
+5605.6 MiB. The returned 24-kHz WAV was 412878 bytes and 8.6 seconds long. The
+service stores named reference voices, accepts a source clip, and returns a
+transient WAV download. Jobs and generated outputs are removed after delivery.
+It is deliberately not exposed on the university interface.
+
+The installed Compose project is named `mike-ai-voice`. Rebuild or recreate it
+with an explicit `VOICE_GPU_UUID` so Docker keeps the service attached to the
+RTX 5080. The profile controller starts and stops the existing container; it
+does not rebuild it during a mode switch.
+
+The weights are licensed CC BY-NC-ND 4.0. This deployment is for Mike's
+private, non-commercial use only. Do not use or expose it as a public or
+commercial voice-cloning service.