diffusion.yaml

data:
  block_size: 512
  cnhubertsoft_gate: 10
  duration: 1
  encoder: vec256l9
  encoder_hop_size: 320
  encoder_out_channels: 256
  encoder_sample_rate: 16000
  extensions:
  - wav
  sampling_rate: 44100
  training_files: filelists/train.txt
  validation_files: filelists/val.txt
device: cuda
env:
  expdir: logs/44k/diffusion
  gpu_id: 0
infer:
  method: dpm-solver
  speedup: 10
model:
  n_chans: 512
  n_hidden: 256
  n_layers: 20
  n_spk: 28
  type: Diffusion
  use_pitch_aug: true
spk:
  biaobei: 0
  buyizi: 1
  kirizu: 2
  m4_alto_1: 3
  m4_alto_2: 4
  m4_alto_3: 5
  m4_alto_4: 6
  m4_alto_5: 7
  m4_alto_6: 8
  m4_alto_7: 9
  m4_bass_1: 10
  m4_bass_2: 11
  m4_bass_3: 12
  m4_soprano_1: 13
  m4_soprano_2: 14
  m4_soprano_3: 15
  m4_tenor_1: 16
  m4_tenor_2: 17
  m4_tenor_3: 18
  m4_tenor_4: 19
  m4_tenor_5: 20
  m4_tenor_6: 21
  m4_tenor_7: 22
  nyaru: 23
  opencpop: 24
  paimon: 25
  sanyueqi: 26
  yousa: 27
train:
  amp_dtype: fp16
  batch_size: 48
  cache_all_data: false
  cache_device: cpu
  cache_fp16: true
  decay_step: 100000
  epochs: 100000
  gamma: 0.5
  interval_force_save: 10000
  interval_log: 10
  interval_val: 2000
  lr: 0.0002
  num_workers: 2
  save_opt: false
  weight_decay: 0
vocoder:
  ckpt: pretrain/nsf_hifigan/model
  type: nsf-hifigan