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G_2400_infer.pth

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+size 160941417

config.json

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+{
+    "train": {
+        "log_interval": 200,
+        "eval_interval": 800,
+        "seed": 1234,
+        "epochs": 10000,
+        "learning_rate": 0.0001,
+        "betas": [
+            0.8,
+            0.99
+        ],
+        "eps": 1e-09,
+        "batch_size": 6,
+        "fp16_run": false,
+        "half_type": "fp16",
+        "lr_decay": 0.999875,
+        "segment_size": 10240,
+        "init_lr_ratio": 1,
+        "warmup_epochs": 0,
+        "c_mel": 45,
+        "c_kl": 1.0,
+        "use_sr": true,
+        "max_speclen": 512,
+        "port": "8001",
+        "keep_ckpts": 0,
+        "all_in_mem": true,
+        "vol_aug": true
+    },
+    "data": {
+        "training_files": "filelists/train.txt",
+        "validation_files": "filelists/val.txt",
+        "max_wav_value": 32768.0,
+        "sampling_rate": 44100,
+        "filter_length": 2048,
+        "hop_length": 512,
+        "win_length": 2048,
+        "n_mel_channels": 80,
+        "mel_fmin": 0.0,
+        "mel_fmax": 22050,
+        "unit_interpolate_mode": "nearest"
+    },
+    "model": {
+        "inter_channels": 192,
+        "hidden_channels": 192,
+        "filter_channels": 768,
+        "n_heads": 2,
+        "n_layers": 6,
+        "kernel_size": 3,
+        "p_dropout": 0.1,
+        "resblock": "1",
+        "resblock_kernel_sizes": [
+            3,
+            7,
+            11
+        ],
+        "resblock_dilation_sizes": [
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
+                3,
+                5
+            ]
+        ],
+        "upsample_rates": [
+            8,
+            8,
+            2,
+            2,
+            2
+        ],
+        "upsample_initial_channel": 512,
+        "upsample_kernel_sizes": [
+            16,
+            16,
+            4,
+            4,
+            4
+        ],
+        "n_layers_q": 3,
+        "n_flow_layer": 4,
+        "use_spectral_norm": false,
+        "gin_channels": 768,
+        "ssl_dim": 768,
+        "n_speakers": 1,
+        "vocoder_name": "nsf-hifigan",
+        "speech_encoder": "vec768l12",
+        "speaker_embedding": false,
+        "vol_embedding": true,
+        "use_depthwise_conv": false,
+        "flow_share_parameter": false,
+        "use_automatic_f0_prediction": true
+    },
+    "spk": {
+        "lain": 0
+    }
+}

config.yaml

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+data:
+  block_size: 512
+  cnhubertsoft_gate: 10
+  duration: 2
+  encoder: vec768l12
+  encoder_hop_size: 320
+  encoder_out_channels: 768
+  encoder_sample_rate: 16000
+  extensions:
+  - wav
+  sampling_rate: 44100
+  training_files: filelists/train.txt
+  unit_interpolate_mode: nearest
+  validation_files: filelists/val.txt
+device: cuda
+env:
+  expdir: logs/44k/diffusion
+  gpu_id: 0
+infer:
+  method: dpm-solver++
+  speedup: 10
+model:
+  k_step_max: 0
+  n_chans: 512
+  n_hidden: 256
+  n_layers: 20
+  n_spk: 1
+  timesteps: 1000
+  type: Diffusion
+  use_pitch_aug: true
+spk:
+  lain: 0
+train:
+  amp_dtype: fp32
+  batch_size: 48
+  cache_all_data: true
+  cache_device: cuda
+  cache_fp16: true
+  decay_step: 100000
+  epochs: 100000
+  gamma: 0.5
+  interval_force_save: 2000
+  interval_log: 10
+  interval_val: 2000
+  lr: 0.0002
+  num_workers: 0
+  save_opt: false
+  weight_decay: 0
+vocoder:
+  ckpt: pretrain/nsf_hifigan/model
+  type: nsf-hifigan

kmeans_10000.pt

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+size 31286009

model_12000.pt

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+size 220893767