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Upload config_dit_mel_seed_uvit_whisper_small_wavenet.yml with huggingface_hub

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config_dit_mel_seed_uvit_whisper_small_wavenet.yml ADDED
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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: 2
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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_small_wavenet_bigvgan_pruned.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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+
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+ preprocess_params:
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+ sr: 22050
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+ spect_params:
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+ n_fft: 1024
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+ win_length: 1024
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+ hop_length: 256
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+ n_mels: 80
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+ fmin: 0
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+ fmax: "None"
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+
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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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+
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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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+
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+ speech_tokenizer:
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+ type: 'whisper'
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+ name: "openai/whisper-large"
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+
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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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+
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+ vocoder:
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+ type: "bigvgan"
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+ name: "nvidia/bigvgan_v2_22khz_80band_256x"
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+
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+ length_regulator:
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+ channels: 512
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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: false
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+ n_f0_bins: 512
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+
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+ DiT:
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+ hidden_dim: 512
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+ num_heads: 8
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+ depth: 13
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+ class_dropout_prob: 0.1
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+ block_size: 8192
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+ in_channels: 80
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+ style_condition: true
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+ final_layer_type: 'wavenet'
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+ target: 'mel' # mel or codec
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+ content_dim: 512
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+ content_codebook_size: 1024
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+ content_type: 'discrete'
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+ f0_condition: false
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+ n_f0_bins: 512
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+ content_codebooks: 1
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+ is_causal: false
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+ long_skip_connection: true
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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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+
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+ wavenet:
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+ hidden_dim: 512
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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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+
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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