Update Configs/config.yaml

Configs/config.yaml

@@ -1,59 +1,62 @@
-data:
-  big_chunk_size: 2000
-  block_size: 512
-  cnhubertsoft_gate: 10
-  duration: 2
-  encoder: contentvec768l12
-  encoder_ckpt: pretrain/contentvec/checkpoint_best_legacy_500.pt
-  encoder_hop_size: 320
-  encoder_out_channels: 768
-  encoder_sample_rate: 16000
-  extensions:
-  - wav
-  f0_extractor: rmvpe
-  f0_max: 800
-  f0_min: 65
-  sampling_rate: 44100
-  train_path: data/train
-  use_big_chunks: true
-  valid_path: data/val
-device: cuda:0
-env:
-  expdir: exp/workdir
-  gpu_id: 0
-infer:
-  infer_step: 20
-  method: euler
-model:
-  n_chans: 1024
-  n_layers: 10
-  n_spk: 1
-  t_start: 0.7
-  type: RectifiedFlow
-  use_attention: false
-  use_pitch_aug: true
-  win_length: 2048
-model_type_index: 3
-spks:
-- Lappland-the-Decadenza
-train:
-  amp_dtype: fp32
-  batch_size: 48
-  cache_all_data: true
-  cache_device: cuda
-  cache_fp16: true
-  decay_step: 50000
-  epochs: 100000
-  gamma: 0.5
-  interval_force_save: 10000
-  interval_log: 100
-  interval_val: 10000
-  lambda_ddsp: 1
-  lr: 0.0002
-  num_workers: 0
-  save_opt: false
-  weight_decay: 0
-use_pretrain: true
-vocoder:
-  ckpt: pretrain/nsf_hifigan/model
-  type: nsf-hifigan
+data:
+  big_chunk_size: 2000
+  block_size: 512
+  cnhubertsoft_gate: 10
+  duration: 2
+  encoder: contentvec768l12
+  encoder_ckpt: pretrain/contentvec/checkpoint_best_legacy_500.pt
+  encoder_hop_size: 320
+  encoder_out_channels: 768
+  encoder_sample_rate: 16000
+  extensions:
+  - wav
+  f0_extractor: rmvpe
+  f0_max: 800
+  f0_min: 65
+  sampling_rate: 44100
+  train_path: data/train
+  use_big_chunks: true
+  valid_path: data/val
+device: cuda:0
+enhancer:
+  ckpt: pretrain/nsf_hifigan/model
+  type: nsf-hifigan
+env:
+  expdir: exp/workdir
+  gpu_id: 0
+infer:
+  infer_step: 20
+  method: euler
+model:
+  n_chans: 1024
+  n_layers: 10
+  n_spk: 1
+  t_start: 0.7
+  type: RectifiedFlow
+  use_attention: false
+  use_pitch_aug: true
+  win_length: 2048
+model_type_index: 3
+spks:
+- Lappland-the-Decadenza
+train:
+  amp_dtype: fp32
+  batch_size: 48
+  cache_all_data: true
+  cache_device: cuda
+  cache_fp16: true
+  decay_step: 50000
+  epochs: 100000
+  gamma: 0.5
+  interval_force_save: 10000
+  interval_log: 100
+  interval_val: 10000
+  lambda_ddsp: 1
+  lr: 0.0002
+  num_workers: 0
+  save_opt: false
+  weight_decay: 0
+use_pretrain: true
+vocoder:
+  ckpt: pretrain/nsf_hifigan/model
+  type: nsf-hifigan