Upload config_dit_mel_seed_uvit_whisper_base_f0_44k.yml with huggingface_hub
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config_dit_mel_seed_uvit_whisper_base_f0_44k.yml
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log_dir: "./runs"
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save_freq: 1
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log_interval: 10
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save_interval: 1000
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device: "cuda"
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epochs: 1000 # number of epochs for first stage training (pre-training)
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batch_size: 1
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batch_length: 100 # maximum duration of audio in a batch (in seconds)
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max_len: 80 # maximum number of frames
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pretrained_model: "DiT_seed_v2_uvit_whisper_base_f0_44k_bigvgan_pruned_ft_ema.pth"
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pretrained_encoder: ""
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load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
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preprocess_params:
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sr: 44100
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spect_params:
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n_fft: 2048
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win_length: 2048
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hop_length: 512
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n_mels: 128
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fmin: 0
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fmax: "None"
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model_params:
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dit_type: "DiT" # uDiT or DiT
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reg_loss_type: "l1" # l1 or l2
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timbre_shifter:
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se_db_path: "./modules/openvoice/checkpoints_v2/converter/se_db.pt"
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ckpt_path: './modules/openvoice/checkpoints_v2/converter'
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vocoder:
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type: "bigvgan"
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name: "nvidia/bigvgan_v2_44khz_128band_512x"
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speech_tokenizer:
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type: 'whisper'
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name: "openai/whisper-large"
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style_encoder:
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dim: 192
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campplus_path: "campplus_cn_common.bin"
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DAC:
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encoder_dim: 64
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encoder_rates: [2, 5, 5, 6]
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decoder_dim: 1536
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decoder_rates: [ 6, 5, 5, 2 ]
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sr: 24000
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length_regulator:
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channels: 768
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is_discrete: false
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in_channels: 1280
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content_codebook_size: 2048
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sampling_ratios: [1, 1, 1, 1]
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vector_quantize: false
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n_codebooks: 1
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quantizer_dropout: 0.0
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f0_condition: true
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n_f0_bins: 256
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DiT:
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hidden_dim: 768
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num_heads: 12
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depth: 17
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class_dropout_prob: 0.1
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block_size: 8192
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in_channels: 128
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style_condition: true
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final_layer_type: 'mlp'
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target: 'mel' # mel or codec
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content_dim: 768
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content_codebook_size: 1024
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content_type: 'discrete'
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f0_condition: true
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n_f0_bins: 256
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content_codebooks: 1
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is_causal: false
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long_skip_connection: false
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zero_prompt_speech_token: false # for prompt component, do not input corresponding speech token
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time_as_token: false
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style_as_token: false
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uvit_skip_connection: true
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add_resblock_in_transformer: false
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wavenet:
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hidden_dim: 768
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num_layers: 8
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kernel_size: 5
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dilation_rate: 1
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p_dropout: 0.2
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style_condition: true
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loss_params:
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base_lr: 0.0001
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lambda_mel: 45
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lambda_kl: 1.0
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