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Unmodified mirror of Plachta/Seed-VC (GPL-3.0), taken 2026-08-26

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+ END OF TERMS AND CONDITIONS
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+ How to Apply These Terms to Your New Programs
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+ If you develop a new program, and you want it to be of the greatest
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+ This program is free software: you can redistribute it and/or modify
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+ For more information on this, and how to apply and follow the GNU GPL, see
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+ The GNU General Public License does not permit incorporating your program
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+ into proprietary programs. If your program is a subroutine library, you
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+ the library. If this is what you want to do, use the GNU Lesser General
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+ <https://www.gnu.org/licenses/why-not-lgpl.html>.
README.md ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: gpl-3.0
3
+ pipeline_tag: audio-to-audio
4
+ ---
5
+
6
+ # Seed-VC checkpoints (mirror)
7
+
8
+ An unmodified, file-for-file mirror of
9
+ [Plachta/Seed-VC](https://huggingface.co/Plachta/Seed-VC), taken
10
+ 2026-08-26. All credit to Plachta (github.com/Plachtaa/seed-vc); weights
11
+ are GPL-3.0 as licensed upstream (full text in LICENSE).
12
+
13
+ Contents: the V1 DiT checkpoints (`DiT_seed_v2_uvit_whisper_small_wavenet`
14
+ for speech, the `whisper_base_f0_44k` variants for singing,
15
+ `DiT_uvit_tat_xlsr` tiny), the V2 stack (`v2/ar_base.pth`,
16
+ `v2/cfm_small.pth`), the hift vocoder and configs.
17
+
18
+ Mirrored for use in a local macOS music app whose voice-conversion
19
+ entries fetch these at first run — this copy is archival insurance
20
+ against the original (a personal account) going away; the app downloads
21
+ from the original while it exists. The original card carried no prose,
22
+ only the license front-matter reproduced above.
config_dit_mel_seed_uvit_whisper_base_f0_44k.yml ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ log_dir: "./runs/run_dit_mel_seed_uvit_whisper_base_f0_44k"
2
+ save_freq: 1
3
+ log_interval: 10
4
+ save_interval: 1000
5
+ device: "cuda"
6
+ epochs: 1000 # number of epochs for first stage training (pre-training)
7
+ batch_size: 1
8
+ batch_length: 100 # maximum duration of audio in a batch (in seconds)
9
+ max_len: 80 # maximum number of frames
10
+ pretrained_model: ""
11
+ pretrained_encoder: ""
12
+ load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
13
+
14
+ preprocess_params:
15
+ sr: 44100
16
+ spect_params:
17
+ n_fft: 2048
18
+ win_length: 2048
19
+ hop_length: 512
20
+ n_mels: 128
21
+ fmin: 0
22
+ fmax: "None"
23
+
24
+ model_params:
25
+ dit_type: "DiT" # uDiT or DiT
26
+ reg_loss_type: "l1" # l1 or l2
27
+
28
+ timbre_shifter:
29
+ se_db_path: "./modules/openvoice/checkpoints_v2/converter/se_db.pt"
30
+ ckpt_path: './modules/openvoice/checkpoints_v2/converter'
31
+
32
+ vocoder:
33
+ type: "bigvgan"
34
+ name: "nvidia/bigvgan_v2_44khz_128band_512x"
35
+
36
+ speech_tokenizer:
37
+ type: 'whisper'
38
+ name: "openai/whisper-small"
39
+
40
+ style_encoder:
41
+ dim: 192
42
+ campplus_path: "campplus_cn_common.bin"
43
+
44
+ DAC:
45
+ encoder_dim: 64
46
+ encoder_rates: [2, 5, 5, 6]
47
+ decoder_dim: 1536
48
+ decoder_rates: [ 6, 5, 5, 2 ]
49
+ sr: 24000
50
+
51
+ length_regulator:
52
+ channels: 768
53
+ is_discrete: false
54
+ in_channels: 768
55
+ content_codebook_size: 2048
56
+ sampling_ratios: [1, 1, 1, 1]
57
+ vector_quantize: false
58
+ n_codebooks: 1
59
+ quantizer_dropout: 0.0
60
+ f0_condition: true
61
+ n_f0_bins: 256
62
+
63
+ DiT:
64
+ hidden_dim: 768
65
+ num_heads: 12
66
+ depth: 17
67
+ class_dropout_prob: 0.1
68
+ block_size: 8192
69
+ in_channels: 128
70
+ style_condition: true
71
+ final_layer_type: 'mlp'
72
+ target: 'mel' # mel or codec
73
+ content_dim: 768
74
+ content_codebook_size: 1024
75
+ content_type: 'discrete'
76
+ f0_condition: true
77
+ n_f0_bins: 256
78
+ content_codebooks: 1
79
+ is_causal: false
80
+ long_skip_connection: false
81
+ zero_prompt_speech_token: false # for prompt component, do not input corresponding speech token
82
+ time_as_token: false
83
+ style_as_token: false
84
+ uvit_skip_connection: true
85
+ add_resblock_in_transformer: false
86
+
87
+ wavenet:
88
+ hidden_dim: 768
89
+ num_layers: 8
90
+ kernel_size: 5
91
+ dilation_rate: 1
92
+ p_dropout: 0.2
93
+ style_condition: true
94
+
95
+ loss_params:
96
+ base_lr: 0.0001
97
+ lambda_mel: 45
98
+ lambda_kl: 1.0
config_dit_mel_seed_uvit_whisper_small_wavenet.yml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ log_dir: "./runs/run_dit_mel_seed_uvit_whisper_small_wavenet"
2
+ save_freq: 1
3
+ log_interval: 10
4
+ save_interval: 1000
5
+ device: "cuda"
6
+ epochs: 1000 # number of epochs for first stage training (pre-training)
7
+ batch_size: 2
8
+ batch_length: 100 # maximum duration of audio in a batch (in seconds)
9
+ max_len: 80 # maximum number of frames
10
+ pretrained_model: ""
11
+ pretrained_encoder: "./temp_ckpt.pth"
12
+ load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
13
+
14
+ preprocess_params:
15
+ sr: 22050
16
+ spect_params:
17
+ n_fft: 1024
18
+ win_length: 1024
19
+ hop_length: 256
20
+ n_mels: 80
21
+ fmin: 0
22
+ fmax: "None"
23
+
24
+ model_params:
25
+ dit_type: "DiT" # uDiT or DiT
26
+ reg_loss_type: "l1" # l1 or l2
27
+
28
+ timbre_shifter:
29
+ se_db_path: "./modules/openvoice/checkpoints_v2/converter/se_db.pt"
30
+ ckpt_path: './modules/openvoice/checkpoints_v2/converter'
31
+
32
+ speech_tokenizer:
33
+ type: 'whisper'
34
+ name: "openai/whisper-small"
35
+
36
+ style_encoder:
37
+ dim: 192
38
+ campplus_path: "campplus_cn_common.bin"
39
+
40
+ vocoder:
41
+ type: "bigvgan"
42
+ name: "nvidia/bigvgan_v2_22khz_80band_256x"
43
+
44
+ length_regulator:
45
+ channels: 512
46
+ is_discrete: false
47
+ in_channels: 768
48
+ content_codebook_size: 2048
49
+ sampling_ratios: [1, 1, 1, 1]
50
+ vector_quantize: false
51
+ n_codebooks: 1
52
+ quantizer_dropout: 0.0
53
+ f0_condition: false
54
+ n_f0_bins: 512
55
+
56
+ DiT:
57
+ hidden_dim: 512
58
+ num_heads: 8
59
+ depth: 13
60
+ class_dropout_prob: 0.1
61
+ block_size: 8192
62
+ in_channels: 80
63
+ style_condition: true
64
+ final_layer_type: 'wavenet'
65
+ target: 'mel' # mel or codec
66
+ content_dim: 512
67
+ content_codebook_size: 1024
68
+ content_type: 'discrete'
69
+ f0_condition: false
70
+ n_f0_bins: 512
71
+ content_codebooks: 1
72
+ is_causal: false
73
+ long_skip_connection: true
74
+ zero_prompt_speech_token: false # for prompt component, do not input corresponding speech token
75
+ time_as_token: false
76
+ style_as_token: false
77
+ uvit_skip_connection: true
78
+ add_resblock_in_transformer: false
79
+
80
+ wavenet:
81
+ hidden_dim: 512
82
+ num_layers: 8
83
+ kernel_size: 5
84
+ dilation_rate: 1
85
+ p_dropout: 0.2
86
+ style_condition: true
87
+
88
+ loss_params:
89
+ base_lr: 0.0001
90
+ lambda_mel: 45
91
+ lambda_kl: 1.0
config_dit_mel_seed_uvit_xlsr_tiny.yml ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ log_dir: "runs/run_mel_seed_uvit_xlsr_tiny"
2
+ save_freq: 1
3
+ log_interval: 10
4
+ save_interval: 500
5
+ device: "cuda"
6
+ epochs: 1000 # number of epochs for first stage training (pre-training)
7
+ batch_size: 2
8
+ batch_length: 100 # maximum duration of audio in a batch (in seconds)
9
+ max_len: 80 # maximum number of frames
10
+ pretrained_model: "DiT_uvit_tat_xlsr_ema.pth"
11
+ pretrained_encoder: ""
12
+ load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
13
+
14
+ preprocess_params:
15
+ sr: 22050
16
+ spect_params:
17
+ n_fft: 1024
18
+ win_length: 1024
19
+ hop_length: 256
20
+ n_mels: 80
21
+ fmin: 0
22
+ fmax: 8000
23
+
24
+ model_params:
25
+ dit_type: "DiT" # uDiT or DiT
26
+ reg_loss_type: "l1" # l1 or l2
27
+ diffusion_type: "flow"
28
+
29
+ timbre_shifter:
30
+ se_db_path: "./modules/openvoice/checkpoints_v2/converter/se_db.pt"
31
+ ckpt_path: './modules/openvoice/checkpoints_v2/converter'
32
+
33
+ vocoder:
34
+ type: "hifigan"
35
+
36
+ speech_tokenizer:
37
+ type: 'xlsr'
38
+ output_layer: 12
39
+ name: 'facebook/wav2vec2-xls-r-300m'
40
+
41
+ style_encoder:
42
+ dim: 192
43
+ campplus_path: "campplus_cn_common.bin"
44
+
45
+ length_regulator:
46
+ channels: 384
47
+ is_discrete: false
48
+ in_channels: 1024
49
+ content_codebook_size: 1024
50
+ sampling_ratios: [1, 1, 1, 1]
51
+ vector_quantize: false
52
+ n_codebooks: 2
53
+ quantizer_dropout: 0.0
54
+ f0_condition: false
55
+ n_f0_bins: 512
56
+
57
+ DiT:
58
+ hidden_dim: 384
59
+ num_heads: 6
60
+ depth: 9
61
+ class_dropout_prob: 0.1
62
+ block_size: 8192
63
+ in_channels: 80
64
+ style_condition: true
65
+ final_layer_type: 'mlp'
66
+ target: 'mel' # mel or betavae
67
+ content_dim: 384
68
+ content_codebook_size: 1024
69
+ content_type: 'discrete'
70
+ f0_condition: false
71
+ n_f0_bins: 512
72
+ content_codebooks: 1
73
+ is_causal: false
74
+ long_skip_connection: false
75
+ zero_prompt_speech_token: false # for prompt component, do not input corresponding speech token
76
+ time_as_token: true
77
+ style_as_token: true
78
+ uvit_skip_connection: true
79
+ add_resblock_in_transformer: false
80
+
81
+ loss_params:
82
+ base_lr: 0.0001
config_dit_mel_seed_wavenet.yml ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ log_dir: "./runs/run_dit_mel_seed"
2
+ save_freq: 1
3
+ log_interval: 10
4
+ save_interval: 1000
5
+ device: "cuda"
6
+ epochs: 1000 # number of epochs for first stage training (pre-training)
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+ batch_size: 4
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+ batch_length: 100 # maximum duration of audio in a batch (in seconds)
9
+ max_len: 80 # maximum number of frames
10
+ pretrained_model: ""
11
+ pretrained_encoder: ""
12
+ load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
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+
14
+ F0_path: "modules/JDC/bst.t7"
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+
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+ preprocess_params:
17
+ sr: 22050
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+ spect_params:
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+ n_fft: 1024
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+ win_length: 1024
21
+ hop_length: 256
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+ n_mels: 80
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+
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+ model_params:
25
+ dit_type: "DiT" # uDiT or DiT
26
+ reg_loss_type: "l2" # l1 or l2
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+
28
+ speech_tokenizer:
29
+ path: "speech_tokenizer_v1.onnx"
30
+
31
+ style_encoder:
32
+ dim: 192
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+ campplus_path: "campplus_cn_common.bin"
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+
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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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+
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+ length_regulator:
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+ channels: 768
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+ is_discrete: true
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+ content_codebook_size: 4096
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+ in_frame_rate: 50
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+ out_frame_rate: 80
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+ sampling_ratios: [1, 1, 1, 1]
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+
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+ DiT:
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+ hidden_dim: 768
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+ num_heads: 12
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+ depth: 12
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+ class_dropout_prob: 0.1
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+ block_size: 4096
56
+ in_channels: 80
57
+ style_condition: true
58
+ final_layer_type: 'wavenet'
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+ target: 'mel' # mel or codec
60
+ content_dim: 768
61
+ content_codebook_size: 1024
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+ content_type: 'discrete'
63
+ f0_condition: false
64
+ 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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+
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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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+
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+ loss_params:
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+ base_lr: 0.0001
hifigan.yml ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ hift:
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+ in_channels: 80
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+ base_channels: 512
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+ nb_harmonics: 8
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+ sampling_rate: 22050
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+ nsf_alpha: 0.1
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+ nsf_sigma: 0.003
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+ nsf_voiced_threshold: 10
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+ upsample_rates: [8, 8]
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+ upsample_kernel_sizes: [16, 16]
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+ istft_params:
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+ n_fft: 16
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+ hop_len: 4
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+ resblock_kernel_sizes: [3, 7, 11]
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+ resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]]
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+ source_resblock_kernel_sizes: [7, 11]
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+ source_resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5]]
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+ lrelu_slope: 0.1
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+ audio_limit: 0.99
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+ f0_predictor:
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+ num_class: 1
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+ in_channels: 80
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+ cond_channels: 512
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+
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+ pretrained_model_path: "hift.pt"
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