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README.md

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+---
+license: mit
+library_name: mlx
+tags:
+  - mlx
+  - voice-conversion
+  - rvc
+  - apple-silicon
+  - audio
+  - speech
+---
+
+# RVC-MLX Pretrained Weights
+
+MLX-compatible pretrained weights for [RVC (Retrieval-based Voice Conversion)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI), converted for use with [rvc-mlx](https://github.com/lucasnewman/rvc-mlx).
+
+These weights enable high-quality voice conversion on Apple Silicon Macs using the MLX framework.
+
+## Available Models
+
+| File | Sample Rate | Size | Description |
+|------|-------------|------|-------------|
+| `v2/f0G48k.safetensors` | 48 kHz | 110 MB | V2 with F0 (pitch) - highest quality |
+| `v2/f0G40k.safetensors` | 40 kHz | 105 MB | V2 with F0 (pitch) |
+| `v2/f0G32k.safetensors` | 32 kHz | 107 MB | V2 with F0 (pitch) |
+
+All models use:
+- **Architecture**: SynthesizerTrnMs768NSFsid
+- **Input**: 768-dim ContentVec features
+- **F0 Support**: Yes (pitch-aware synthesis)
+
+## Quick Start
+
+```python
+from huggingface_hub import hf_hub_download
+
+# Download the 48kHz model
+weights_path = hf_hub_download(
+    repo_id="lexandstuff/rvc-mlx-weights",
+    filename="v2/f0G48k.safetensors"
+)
+
+# Download config
+config_path = hf_hub_download(
+    repo_id="lexandstuff/rvc-mlx-weights",
+    filename="v2/config.json"
+)
+```
+
+## Usage with rvc-mlx
+
+```python
+import json
+from safetensors.numpy import load_file
+from rvc_mlx.models import SynthesizerTrnMs768NSFsid
+
+# Load config
+with open(config_path) as f:
+    configs = json.load(f)
+    config = configs["48000"]  # or "40000", "32000"
+
+# Create model
+model = SynthesizerTrnMs768NSFsid(**config)
+
+# Load weights
+weights = load_file(weights_path)
+# ... load weights into model
+```
+
+## Model Details
+
+These are **inference-only** weights - training components (posterior encoder) have been removed to reduce file size.
+
+### Architecture
+
+```
+SynthesizerTrnMs768NSFsid
+├── enc_p (TextEncoder)      - Encodes ContentVec + pitch
+├── flow (ResidualCoupling)  - Normalizing flow for voice conversion
+├── dec (GeneratorNSF)       - HiFi-GAN vocoder with neural source filter
+└── emb_g (Embedding)        - Speaker embedding
+```
+
+### Upsampling Rates
+
+| Sample Rate | Upsample Rates | Total Factor |
+|-------------|----------------|--------------|
+| 32 kHz | [10, 8, 2, 2] | 320x |
+| 40 kHz | [10, 10, 2, 2] | 400x |
+| 48 kHz | [12, 10, 2, 2] | 480x |
+
+## Original Source
+
+These weights are converted from the official RVC pretrained models:
+- **Source**: [lj1995/VoiceConversionWebUI](https://huggingface.co/lj1995/VoiceConversionWebUI)
+- **Files**: `pretrained_v2/f0G{32k,40k,48k}.pth`
+
+## License
+
+MIT License - same as the original RVC project.
+
+## Citation
+
+If you use these weights, please cite the original RVC project:
+
+```bibtex
+@software{rvc2023,
+  author = {RVC-Project},
+  title = {Retrieval-based-Voice-Conversion-WebUI},
+  year = {2023},
+  url = {https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI}
+}
+```

v2/config.json

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+{
+  "32000": {
+    "model_type": "SynthesizerTrnMs768NSFsid",
+    "version": "v2",
+    "sample_rate": 32000,
+    "f0": true,
+    "spec_channels": 1025,
+    "segment_size": 32,
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "kernel_size": 3,
+    "p_dropout": 0,
+    "resblock": "1",
+    "resblock_kernel_sizes": [3, 7, 11],
+    "resblock_dilation_sizes": [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
+    "upsample_rates": [10, 8, 2, 2],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [20, 16, 4, 4],
+    "spk_embed_dim": 109,
+    "gin_channels": 256
+  },
+  "40000": {
+    "model_type": "SynthesizerTrnMs768NSFsid",
+    "version": "v2",
+    "sample_rate": 40000,
+    "f0": true,
+    "spec_channels": 1025,
+    "segment_size": 32,
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "kernel_size": 3,
+    "p_dropout": 0,
+    "resblock": "1",
+    "resblock_kernel_sizes": [3, 7, 11],
+    "resblock_dilation_sizes": [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
+    "upsample_rates": [10, 10, 2, 2],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [20, 20, 4, 4],
+    "spk_embed_dim": 109,
+    "gin_channels": 256
+  },
+  "48000": {
+    "model_type": "SynthesizerTrnMs768NSFsid",
+    "version": "v2",
+    "sample_rate": 48000,
+    "f0": true,
+    "spec_channels": 1025,
+    "segment_size": 32,
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "kernel_size": 3,
+    "p_dropout": 0,
+    "resblock": "1",
+    "resblock_kernel_sizes": [3, 7, 11],
+    "resblock_dilation_sizes": [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
+    "upsample_rates": [12, 10, 2, 2],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [24, 20, 4, 4],
+    "spk_embed_dim": 109,
+    "gin_channels": 256
+  }
+}

v2/f0G32k.safetensors

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v2/f0G40k.safetensors

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v2/f0G48k.safetensors

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