| _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: |
| _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: |
| _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: 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 |
|
|
