| _target_: modules.v2.vc_wrapper.VoiceConversionWrapper
|
| sr: 22050
|
| hop_size: 256
|
| mel_fn:
|
| _target_: modules.audio.mel_spectrogram
|
| _partial_: true
|
| n_fft: 1024
|
| win_size: 1024
|
| hop_size: 256
|
| num_mels: 80
|
| sampling_rate: 22050
|
| fmin: 0
|
| fmax: null
|
| center: False
|
| cfm:
|
| _target_: modules.v2.cfm.CFM
|
| estimator:
|
| _target_: modules.v2.dit_wrapper.DiT
|
| time_as_token: true
|
| style_as_token: true
|
| uvit_skip_connection: false
|
| block_size: 8192
|
| depth: 13
|
| num_heads: 8
|
| hidden_dim: 512
|
| in_channels: 80
|
| content_dim: 512
|
| style_encoder_dim: 192
|
| class_dropout_prob: 0.1
|
| dropout_rate: 0.0
|
| attn_dropout_rate: 0.0
|
| cfm_length_regulator:
|
| _target_: modules.v2.length_regulator.InterpolateRegulator
|
| channels: 512
|
| is_discrete: true
|
| codebook_size: 2048
|
| sampling_ratios: [ 1, 1, 1, 1 ]
|
| f0_condition: false
|
| ar:
|
| _target_: modules.v2.ar.NaiveWrapper
|
| model:
|
| _target_: modules.v2.ar.NaiveTransformer
|
| config:
|
| _target_: modules.v2.ar.NaiveModelArgs
|
| dropout: 0.0
|
| rope_base: 10000.0
|
| dim: 768
|
| head_dim: 64
|
| n_local_heads: 2
|
| intermediate_size: 2304
|
| n_head: 12
|
| n_layer: 12
|
| vocab_size: 2049
|
| ar_length_regulator:
|
| _target_: modules.v2.length_regulator.InterpolateRegulator
|
| channels: 768
|
| is_discrete: true
|
| codebook_size: 32
|
| sampling_ratios: [ ]
|
| f0_condition: false
|
| style_encoder:
|
| _target_: modules.campplus.DTDNN.CAMPPlus
|
| feat_dim: 80
|
| embedding_size: 192
|
| content_extractor_narrow:
|
| _target_: modules.astral_quantization.default_model.AstralQuantizer
|
| tokenizer_name: "openai/whisper-small"
|
| ssl_model_name: "facebook/hubert-large-ll60k"
|
| ssl_output_layer: 18
|
| skip_ssl: true
|
| encoder: &bottleneck_encoder
|
| _target_: modules.astral_quantization.convnext.ConvNeXtV2Stage
|
| dim: 512
|
| num_blocks: 12
|
| intermediate_dim: 1536
|
| dilation: 1
|
| input_dim: 1024
|
| quantizer:
|
| _target_: modules.astral_quantization.bsq.BinarySphericalQuantize
|
| codebook_size: 32
|
| dim: 512
|
| entropy_loss_weight: 0.1
|
| diversity_gamma: 1.0
|
| spherical: True
|
| enable_entropy_loss: True
|
| soft_entropy_loss: True
|
| content_extractor_wide:
|
| _target_: modules.astral_quantization.default_model.AstralQuantizer
|
| tokenizer_name: "openai/whisper-small"
|
| ssl_model_name: "facebook/hubert-large-ll60k"
|
| ssl_output_layer: 18
|
| encoder: *bottleneck_encoder
|
| quantizer:
|
| _target_: modules.astral_quantization.bsq.BinarySphericalQuantize
|
| codebook_size: 2048
|
| dim: 512
|
| entropy_loss_weight: 0.1
|
| diversity_gamma: 1.0
|
| spherical: True
|
| enable_entropy_loss: True
|
| soft_entropy_loss: True
|
| vocoder:
|
| _target_: modules.bigvgan.bigvgan.BigVGAN.from_pretrained
|
| pretrained_model_name_or_path: "nvidia/bigvgan_v2_22khz_80band_256x"
|
| use_cuda_kernel: false
|
|
|
