Publish PL-Flow model bundle

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LICENSE

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+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
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+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -0,0 +1,71 @@
+---
+language:
+- zh
+- en
+pipeline_tag: text-to-speech
+license: other
+license_name: component-specific
+license_link: https://huggingface.co/rcell233/pl-flow/blob/main/THIRD_PARTY.md
+tags:
+- audio
+- flow-matching
+- safetensors
+---
+
+# PL-Flow pretrained bundle
+
+Model weights for the PL-Flow two-stage speech synthesis implementation.
+Licenses differ by component; see [THIRD_PARTY.md](THIRD_PARTY.md).
+The speaker checkpoint is downloaded separately from the link provided by
+Seed-TTS-Eval and is not included in this repository.
+
+## Components
+
+| Component | Function | Origin | Weight license |
+| --- | --- | --- | --- |
+| `s1` | Phoneme-aligned prosody flow, QK normalization | Trained from random initialization, EMA | [GPL-3.0-only](LICENSE) |
+| `s2` | Duration-conditioned acoustic flow, QK normalization | Trained from random initialization, EMA | [GPL-3.0-only](LICENSE) |
+| `aligner` | HuBERT/text forced alignment | Trained from random initialization | [GPL-3.0-only](LICENSE) |
+| `vocoder` | 32 kHz mono, 32-channel 50 Hz SQ-GAN codec | Trained from random initialization, EMA | [GPL-3.0-only](LICENSE) |
+| `plbert` | Frozen phoneme ALBERT | Extracted from Kokoro | [Apache-2.0](plbert/LICENSE) |
+| `hubert` | Frozen semantic features | TencentGameMate Chinese HuBERT | [MIT](hubert/LICENSE) |
+| `speaker` | Frozen WavLM/ECAPA speaker features | External checkpoint linked by Seed-TTS-Eval | [Download and upstream terms](speaker/NOTICE.md) |
+
+Six components contain `config.json` and `model.safetensors`. The speaker directory
+contains configuration and download instructions only. `bundle.json` pins SHA256
+hashes, the external speaker download, the prosody-code interface and inference
+settings. No optimizer
+states, training datasets or audio are included. The four project-trained models
+do not initialize their parameters from third-party checkpoints; the frozen
+feature models used by the pipeline are listed separately above.
+
+## Usage
+
+Install the PL-Flow source package in your own environment, then:
+
+```bash
+hf download rcell233/pl-flow --local-dir artifacts/pretrained
+```
+
+Download **[wavlm_large_finetune.pth](https://drive.google.com/file/d/1-aE1NfzpRCLxA4GUxX9ITI3F9LlbtEGP/view)**
+from the model link in [Seed-TTS-Eval](https://github.com/BytedanceSpeech/seed-tts-eval#metrics)
+and save it as `artifacts/pretrained/speaker/wavlm_large_finetune.pth`.
+PL-Flow loads the original checkpoint directly and verifies its SHA256. No
+separate conversion or embedding-extraction command is required.
+
+```bash
+pl-flow verify --models artifacts/pretrained
+pl-flow synthesize --models artifacts/pretrained \
+  --reference-audio data/reference.wav --reference-text '这是参考音频的文本。' \
+  --text '你好，欢迎使用语音合成。' --language zh --output outputs/example.wav
+```
+
+Default sampling uses S1 **8 Euler steps / CFG 2.1**, S2 **10 Euler steps / CFG
+2.8**, temperature 1.0 and CUDA BF16 autocast for the flow models. Guidance is
+`(1 + scale) * conditional - scale * unconditional`. Audio encoders and the codec
+run in FP32. Context limits: 512 S1 tokens, 1024 total S2 frames, 250 prompt frames.
+
+S1 and S2 exports use EMA weights. These are inference/warm-start artifacts, not
+full-state training resumes. The ASR aligner and SQ codec can also be trained using
+the PL-Flow package. Weight licenses do not grant rights to recordings or voices;
+use reference audio with appropriate permission.

THIRD_PARTY.md

@@ -0,0 +1,34 @@
+# Model weight licenses and attribution
+
+This repository contains model weights and configuration files. The root
+[LICENSE](LICENSE) applies to the project's `s1`, `s2`, `aligner` and `vocoder`
+weights under GPL-3.0-only. All four were trained from random initialization.
+This is the project's chosen weight license, not a license automatically imposed
+on training outputs by the training software.
+
+Upstream pretrained components retain their own terms:
+
+| Component | Upstream model | Weight terms and attribution |
+| --- | --- | --- |
+| `plbert` | [hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M), phoneme ALBERT subset | [Apache-2.0](plbert/LICENSE); [source and changes](plbert/NOTICE.md) |
+| `hubert` | [TencentGameMate/chinese-hubert-base](https://huggingface.co/TencentGameMate/chinese-hubert-base) | Upstream model card declares [MIT](hubert/LICENSE); [source and changes](hubert/NOTICE.md) |
+| `speaker` | `wavlm_large_finetune.pth`, obtained through [Seed-TTS-Eval](https://github.com/BytedanceSpeech/seed-tts-eval#metrics) | Not distributed here; [external download](speaker/NOTICE.md) |
+
+Retain the applicable license text and attribution when redistributing `plbert`
+or `hubert`, and identify any further changes. Conversion to safetensors or changes
+to parameter names do not replace upstream licenses. The project's GPL does not
+relicense upstream weights.
+
+The `speaker` checkpoint is not included in this repository. Users download it
+separately from the link provided by Seed-TTS-Eval. Its upstream terms apply;
+the project's GPL does not grant rights to that checkpoint.
+
+The Python implementation and its bundled speaker program are distributed
+separately with their own source-code notices. Source-code license texts for
+software absent from this weight repository are not weight licenses.
+
+`bundle.json` records hashes of the exact redistributed configurations and tensor
+files. Upstream source references and conversion descriptions are recorded in
+the component notices; an unrecorded import revision is not inferred from a
+later model-card revision. These licenses do not establish rights to training
+datasets, recordings or a person's voice.

aligner/config.json

@@ -0,0 +1,18 @@
+{
+  "format_version": 1,
+  "type": "aligner",
+  "model": {
+    "input_dim": 768,
+    "n_token": 181,
+    "hidden_size": 384,
+    "token_embedding_dim": 384,
+    "ffd_size": 1536,
+    "nheads": 12,
+    "enc_nlayers": 3,
+    "dec_nlayers": 3,
+    "layer_norm_eps": 1e-05,
+    "aligner_softmax_temp": 1.0,
+    "dropout": 0.1,
+    "max_length": 10000
+  }
+}

aligner/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c1d5400eb140aa49bfc4829b77442da5503461bbb264221c761e91b528cead0
+size 55575108

bundle.json

@@ -0,0 +1,58 @@
+{
+  "format_version": 1,
+  "components": {
+    "s1": {
+      "path": "s1",
+      "config_sha256": "3a45f2a80a9f74dbee3f4d5f8abf9ffbf84fc60ffa16d17647133c49fd274ded",
+      "weights_sha256": "b974a05604d843805baee8c49aa869ef2b58d696d4868af0fe082a9a3aa94b4c"
+    },
+    "s2": {
+      "path": "s2",
+      "config_sha256": "f6631ad8ae8154d413fa7539ec5c7a6e2552f4f833012197496548a54153a421",
+      "weights_sha256": "bb2150e1bc84c8d4dc20e87ee49f6aa197106093dc1a3e66ac172abb2d3b6ea2"
+    },
+    "plbert": {
+      "path": "plbert",
+      "config_sha256": "fdcb2566199365eec60ccd1ad04e63edf4fe8d63e738ea6b193df2d9a7854b37",
+      "weights_sha256": "3d7fd08b32936066ac49261ce4c1900b6535a6f9f863f65430d60904d0fe29ca"
+    },
+    "aligner": {
+      "path": "aligner",
+      "config_sha256": "b69fa7d7f78e1406532fc590a3ed6fa5e4f242912fbe723a1ff7cd6a1e9a1ff5",
+      "weights_sha256": "0c1d5400eb140aa49bfc4829b77442da5503461bbb264221c761e91b528cead0"
+    },
+    "vocoder": {
+      "path": "vocoder",
+      "config_sha256": "fe7d48f6cb57e9522f8a4e20d59e0f5d3686fde77babb57798038cb36f99434c",
+      "weights_sha256": "752ae7a04bc0b5a93455b19aca5799dc9c2254210d59afc399e4bc80d99c5b4e"
+    },
+    "speaker": {
+      "path": "speaker",
+      "config_sha256": "685586769f57adffd06a6d5e099989718e306399c4dd265951e9b5817372d0a7",
+      "weights_sha256": "51f07e3b94d9e0262a6a675ef5a087be3dd09e8c62e9d886827f44f82fe7f94b",
+      "external_weights": {
+        "filename": "wavlm_large_finetune.pth",
+        "url": "https://drive.google.com/file/d/1-aE1NfzpRCLxA4GUxX9ITI3F9LlbtEGP/view",
+        "source": "https://github.com/BytedanceSpeech/seed-tts-eval#metrics"
+      }
+    },
+    "hubert": {
+      "path": "hubert",
+      "config_sha256": "d02e06b61c8a43a43f66a2ea30b6b57a6ed21e4a1971a584ca0838f72eadcbb9",
+      "weights_sha256": "d4b03f399c90f352ce3e403b9be27218c6ec043d97bae72dba0b78832c9f58ff"
+    }
+  },
+  "sampling": {
+    "s1_steps": 8,
+    "s1_cfg": 2.1,
+    "s2_steps": 10,
+    "s2_cfg": 2.8,
+    "temperature": 1.0,
+    "max_tokens": 512,
+    "max_frames": 1024,
+    "max_prompt_frames": 250,
+    "prosody_precision": "bf16"
+  },
+  "prosody_fingerprint": "5af2239aa84690828602731b32548a939edd2790b94eb75fc27bb2fd1638568a",
+  "s1_prosody_fingerprint": "5af2239aa84690828602731b32548a939edd2790b94eb75fc27bb2fd1638568a"
+}

hubert/LICENSE

@@ -0,0 +1,23 @@
+MIT License
+
+Model published by TencentGameMate:
+https://huggingface.co/TencentGameMate/chinese-hubert-base
+The upstream model card declares MIT; no separate copyright line is supplied.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

hubert/NOTICE.md

@@ -0,0 +1,17 @@
+# Chinese HuBERT Base weights
+
+Source and publisher:
+[TencentGameMate/chinese-hubert-base](https://huggingface.co/TencentGameMate/chinese-hubert-base).
+The upstream model card declares MIT. The [MIT permission text](LICENSE) is
+included with this component. The upstream repository does not supply a separate
+copyright line; this notice identifies its publisher without inventing one.
+
+PL-Flow exports the pretrained HuBERT model state as `model.safetensors`, with
+parameter names adapted to the local wrapper and weight-normalization layout.
+No additional HuBERT training is performed by PL-Flow. The exported file's SHA256
+is recorded in [bundle.json](../bundle.json).
+
+License reference:
+[upstream model card at fce0375452b1dd6c080ac3248d423d4d037bc831](https://huggingface.co/TencentGameMate/chinese-hubert-base/blob/fce0375452b1dd6c080ac3248d423d4d037bc831/README.md).
+The original import revision was not recorded; this reference identifies the
+license declaration, not a verified revision of the imported checkpoint.

hubert/config.json

@@ -0,0 +1,71 @@
+{
+  "format_version": 1,
+  "type": "hubert",
+  "model": {
+    "activation_dropout": 0.1,
+    "apply_spec_augment": true,
+    "attention_dropout": 0.1,
+    "bos_token_id": 1,
+    "classifier_proj_size": 256,
+    "conv_bias": false,
+    "conv_dim": [
+      512,
+      512,
+      512,
+      512,
+      512,
+      512,
+      512
+    ],
+    "conv_kernel": [
+      10,
+      3,
+      3,
+      3,
+      3,
+      2,
+      2
+    ],
+    "conv_stride": [
+      5,
+      2,
+      2,
+      2,
+      2,
+      2,
+      2
+    ],
+    "ctc_loss_reduction": "sum",
+    "ctc_zero_infinity": false,
+    "do_stable_layer_norm": false,
+    "eos_token_id": 2,
+    "feat_extract_activation": "gelu",
+    "feat_extract_norm": "group",
+    "feat_proj_dropout": 0.0,
+    "feat_proj_layer_norm": true,
+    "final_dropout": 0.1,
+    "hidden_act": "gelu",
+    "hidden_dropout": 0.1,
+    "hidden_size": 768,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "layer_norm_eps": 1e-05,
+    "layerdrop": 0.1,
+    "mask_feature_length": 10,
+    "mask_feature_min_masks": 0,
+    "mask_feature_prob": 0.0,
+    "mask_time_length": 10,
+    "mask_time_min_masks": 2,
+    "mask_time_prob": 0.05,
+    "model_type": "hubert",
+    "num_attention_heads": 12,
+    "num_conv_pos_embedding_groups": 16,
+    "num_conv_pos_embeddings": 128,
+    "num_feat_extract_layers": 7,
+    "num_hidden_layers": 12,
+    "pad_token_id": 0,
+    "torch_dtype": "float32",
+    "use_weighted_layer_sum": false,
+    "vocab_size": 32
+  }
+}

hubert/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4b03f399c90f352ce3e403b9be27218c6ec043d97bae72dba0b78832c9f58ff
+size 377511896

plbert/LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
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+          of the NOTICE file are for informational purposes only and
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+
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+      for use, reproduction, or distribution of Your modifications, or
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+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
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+
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plbert/NOTICE.md

@@ -0,0 +1,24 @@
+# Kokoro phoneme ALBERT weights
+
+Source: [hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M),
+the phoneme ALBERT portion of `kokoro-v1_0.pth`.
+The upstream model card explicitly licenses the weights under Apache-2.0;
+the license is reproduced in [LICENSE](LICENSE).
+
+PL-Flow extracts the ALBERT tensors, omits the unused TTS projection and synthesis
+decoder, and exports them as `model.safetensors` under the PL-Flow parameter
+names. This is a repackaged pretrained component, not a model trained by PL-Flow.
+The exported file's SHA256 is recorded in [bundle.json](../bundle.json).
+
+Kokoro is published by hexgrad. Its model card credits `@rzvzn` with training and
+[Li et al. / StyleTTS 2](https://github.com/yl4579/StyleTTS2) with the architecture.
+It also attributes training audio to [Koniwa](https://github.com/koniwa/koniwa)
+(`tnc`, [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)) and
+[SIWIS](https://datashare.ed.ac.uk/handle/10283/2353)
+([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)). These upstream
+attributions are retained; no audio or voice packs are distributed here.
+
+License and attribution reference:
+[upstream model card at f3ff3571791e39611d31c381e3a41a3af07b4987](https://huggingface.co/hexgrad/Kokoro-82M/blob/f3ff3571791e39611d31c381e3a41a3af07b4987/README.md).
+The original import revision was not recorded; this reference identifies the
+license declaration, not a verified revision of the imported checkpoint.

plbert/config.json

@@ -0,0 +1,12 @@
+{
+  "format_version": 1,
+  "type": "plbert",
+  "model": {
+    "vocab_size": 178,
+    "hidden_size": 768,
+    "num_attention_heads": 12,
+    "intermediate_size": 2048,
+    "max_position_embeddings": 512,
+    "num_hidden_layers": 12
+  }
+}

plbert/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d7fd08b32936066ac49261ce4c1900b6535a6f9f863f65430d60904d0fe29ca
+size 25173088

s1/config.json

@@ -0,0 +1,33 @@
+{
+  "format_version": 1,
+  "type": "s1",
+  "model": {
+    "model_params": {
+      "style_encoder": {
+        "dim": 256
+      },
+      "DiT": {
+        "hidden_dim": 512,
+        "num_heads": 8,
+        "depth": 13,
+        "class_dropout_prob": 0.1,
+        "in_channels": 16,
+        "content_dim": 32
+      },
+      "wavenet": {
+        "hidden_dim": 512,
+        "num_layers": 8,
+        "kernel_size": 5,
+        "dilation_rate": 1,
+        "p_dropout": 0.2
+      }
+    },
+    "max_tokens": 512,
+    "prompt": {
+      "min_tokens": 2,
+      "max_tokens": 256,
+      "max_fraction": 0.5,
+      "dropout": 0.1
+    }
+  }
+}

s1/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b974a05604d843805baee8c49aa869ef2b58d696d4868af0fe082a9a3aa94b4c
+size 416193488

s2/config.json

@@ -0,0 +1,49 @@
+{
+  "format_version": 1,
+  "type": "s2",
+  "model": {
+    "model_params": {
+      "style_encoder": {
+        "dim": 256
+      },
+      "DiT": {
+        "hidden_dim": 512,
+        "num_heads": 8,
+        "depth": 13,
+        "class_dropout_prob": 0.1,
+        "in_channels": 32,
+        "content_dim": 32
+      },
+      "wavenet": {
+        "hidden_dim": 512,
+        "num_layers": 8,
+        "kernel_size": 5,
+        "dilation_rate": 1,
+        "p_dropout": 0.2
+      }
+    },
+    "conditioner": {
+      "n_vocab": 178,
+      "output_channels": 32,
+      "ssl_dim": 768,
+      "hidden_channels": 192,
+      "prosody_dim": 16,
+      "duration_bins": 512,
+      "filter_channels": 768,
+      "n_heads": 2,
+      "n_layers": 6,
+      "kernel_size": 3,
+      "p_dropout": 0.1,
+      "prenet": true,
+      "duration_loss_weight": 1.0,
+      "max_token_duration": 511,
+      "max_infer_frames": 1000
+    },
+    "prompt": {
+      "min_seconds": 1.0,
+      "max_seconds": 5.0,
+      "max_fraction": 0.5,
+      "dropout": 0.1
+    }
+  }
+}

s2/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb2150e1bc84c8d4dc20e87ee49f6aa197106093dc1a3e66ac172abb2d3b6ea2
+size 421374056

speaker/NOTICE.md

@@ -0,0 +1,28 @@
+# External speaker checkpoint
+
+PL-Flow uses `wavlm_large_finetune.pth`, obtained through the model link in
+[Seed-TTS-Eval](https://github.com/BytedanceSpeech/seed-tts-eval#metrics).
+It is the WavLM Large model fine-tuned for speaker verification, not the base
+WavLM pretraining checkpoint.
+
+**[Download wavlm_large_finetune.pth](https://drive.google.com/file/d/1-aE1NfzpRCLxA4GUxX9ITI3F9LlbtEGP/view)**
+
+Save the downloaded file beside this notice and `config.json`:
+
+```text
+speaker/
+  config.json
+  NOTICE.md
+  wavlm_large_finetune.pth
+```
+
+Expected size: **1,301,926,579 bytes**.
+SHA256: `51f07e3b94d9e0262a6a675ef5a087be3dd09e8c62e9d886827f44f82fe7f94b`.
+
+The checkpoint is not distributed in this repository. Its applicable upstream
+terms remain in effect; the project's GPL does not license these weights.
+
+PL-Flow verifies the file hash before starting the independent speaker tool.
+The tool loads the original checkpoint locally, omits the training classifier,
+and adapts weight-normalization parameter names in memory. No manual conversion
+or embedding-extraction command is needed.

speaker/config.json

@@ -0,0 +1,77 @@
+{
+  "format_version": 1,
+  "type": "speaker",
+  "model": {
+    "extractor_mode": "layer_norm",
+    "encoder_layers": 24,
+    "encoder_embed_dim": 1024,
+    "encoder_ffn_embed_dim": 4096,
+    "encoder_attention_heads": 16,
+    "activation_fn": "gelu",
+    "dropout": 0.0,
+    "attention_dropout": 0.0,
+    "activation_dropout": 0.0,
+    "encoder_layerdrop": 0.0,
+    "dropout_input": 0.0,
+    "dropout_features": 0.0,
+    "layer_norm_first": true,
+    "conv_feature_layers": [
+      [
+        512,
+        10,
+        5
+      ],
+      [
+        512,
+        3,
+        2
+      ],
+      [
+        512,
+        3,
+        2
+      ],
+      [
+        512,
+        3,
+        2
+      ],
+      [
+        512,
+        3,
+        2
+      ],
+      [
+        512,
+        2,
+        2
+      ],
+      [
+        512,
+        2,
+        2
+      ]
+    ],
+    "conv_bias": false,
+    "feature_grad_mult": 1.0,
+    "mask_length": 10,
+    "mask_prob": 0.8,
+    "mask_selection": "static",
+    "mask_other": 0.0,
+    "no_mask_overlap": false,
+    "mask_min_space": 1,
+    "mask_channel_length": 10,
+    "mask_channel_prob": 0.0,
+    "mask_channel_selection": "static",
+    "mask_channel_other": 0.0,
+    "no_mask_channel_overlap": false,
+    "mask_channel_min_space": 1,
+    "conv_pos": 128,
+    "conv_pos_groups": 16,
+    "relative_position_embedding": true,
+    "num_buckets": 320,
+    "max_distance": 800,
+    "gru_rel_pos": true,
+    "normalize": true
+  }
+}

vocoder/config.json

@@ -0,0 +1,22 @@
+{
+  "format_version": 1,
+  "type": "vocoder",
+  "model": {
+    "encoder": {
+      "latent_channels": 32,
+      "hidden_channels": 192,
+      "encoder_kernel_size": 5,
+      "encoder_dilation_rate": 1,
+      "encoder_layers": 16,
+      "stft_hop_length": 320,
+      "stft_win_length": 1280,
+      "m2l_last_time_downsample_factor": 2
+    },
+    "decoder": {
+      "latent_channels": 32,
+      "stft_hop_length": 320,
+      "stft_win_length": 1280,
+      "m2l_last_time_downsample_factor": 2
+    }
+  }
+}

vocoder/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:752ae7a04bc0b5a93455b19aca5799dc9c2254210d59afc399e4bc80d99c5b4e
+size 116340632