jam_infer.yaml

project_root: "."
evaluation:
  checkpoint_path: ""
  test_set_path: ""
  negative_style_prompt: ${project_root}/public/vocal.npy
  num_samples: null
  batch_size: 1
  random_crop_style: false
  vae_type: 'diffrhythm'
  num_style_secs: 30
  ignore_style: false
  use_prompt_style: false

  dataset:
    pattern: "placeholder"
    shuffle: false
    resample_by_duration_threshold: null
    always_crop_from_beginning: true
    always_use_style_index: 0
  
  sample_kwargs:
    batch_infer_num: 1
    cfg_range:
      - 0.05
      - 1
    # fix_dual_cfg: true
    dual_cfg:
      - 4.7
      - 2.5
    steps: 50

model:
  num_channels: 64
  cfm:
    max_frames: ${max_frames}
    num_channels: ${model.num_channels}
    dual_drop_prob: [0.1, 0.5]
    no_edit: true

  dit:
    max_frames: ${max_frames}
    mel_dim: ${model.num_channels}
    dim: 1408
    depth: 16
    heads: 32
    ff_mult: 4
    text_dim: 512
    conv_layers: 4
    grad_ckpt: true
    use_implicit_duration: true

data:
  train_dataset:
    max_frames: ${max_frames}
    multiple_styles: true
    sampling_rate: 44100
    shuffle: true
    silence_latent_path: ${project_root}/public/silience_latent.pt
    tokenizer_path: ${project_root}/public/en_us_cmudict_ipa_forward.pt
    lrc_upsample_factor: ${lrc_upsample_factor}
    filler: average_sparse
    phonemizer_checkpoint: ${project_root}/public/en_us_cmudict_ipa_forward.pt

# General settings
max_frames: 5000
lrc_upsample_factor: 4
seed: 42