Add LavaSR v2 bundled mirror (enhancer + UL-UNAS denoiser)

README.md

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+# LavaSR — bundled mirror (v2)
+
+Self-contained inference bundle for the MAESTRO desktop app. One ~55 MB download → fully offline 48 kHz speech enhancement.
+
+## Contents
+
+- `enhancer_v2/model.safetensors` — Vocos-based bandwidth-extension weights (converted from upstream `pytorch_model.bin` via `safetensors.torch.save_model` for shared-buffer safety)
+- `enhancer_v2/config.yaml` — Vocos hyperparameters (verbatim from upstream)
+- `denoiser/denoiser.safetensors` — UL-UNAS denoiser weights (converted from upstream `denoiser.bin`)
+
+## Source
+
+- Enhancer + denoiser bundle: [YatharthS/LavaSR](https://huggingface.co/YatharthS/LavaSR)
+- LavaSR code: [github.com/ysharma3501/LavaSR](https://github.com/ysharma3501/LavaSR) — Vocos backbone adapted for speech BWE, ~5000× realtime on GPU.
+- UL-UNAS denoiser: [github.com/Xiaobin-Rong/ul-unas](https://github.com/Xiaobin-Rong/ul-unas).
+
+## License
+
+- LavaSR (enhancer): Apache-2.0
+- UL-UNAS (denoiser): MIT (Xiaobin-Rong)
+
+Both upstreams permit commercial redistribution with attribution.

denoiser/denoiser.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dfa7bdff7198b4d80860b943c78f1419f68726bbe637cd35fa16af2252118a1d
+size 733720

enhancer_v2/config.yaml

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+feature_extractor:
+  class_path: vocos.feature_extractors.MelSpectrogramFeatures
+  init_args:
+    sample_rate: 44100
+    n_fft: 2048
+    hop_length: 512
+    n_mels: 80
+    padding: same
+    f_min: 0
+    f_max: 8000
+    norm: "slaney"
+    mel_scale: "slaney"
+
+backbone:
+  class_path: vocos.models.VocosBackbone
+  init_args:
+    input_channels: 80
+    dim: 512
+    intermediate_dim: 1536
+    num_layers: 8
+
+head:
+  class_path: vocos.heads.ISTFTHead
+  init_args:
+    dim: 512
+    n_fft: 2048
+    hop_length: 512
+    padding: same

enhancer_v2/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0b2be25ec0773ccdb34a4b2196babc557eba762357ff6138dde7ce2861f12e79
+size 56293752