Hugging Face's logo

Spaces:
amphion
/
maskgct
Running on Zero

App Files Community
4
maskgct
File size: 4,114 Bytes 
8c92a11
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
 
{
    "base_config": "config/svc/base.json",
    "model": {
        "condition_encoder": {
            "merge_mode": "add",
            // Prosody Features
            "use_f0": true,
            "use_uv": true,
            "use_energy": true,
            // Quantization (0 for not quantization)
            "input_melody_dim": 1,
            "n_bins_melody": 256,
            "output_melody_dim": 384,
            "input_loudness_dim": 1,
            "n_bins_loudness": 256,
            "output_loudness_dim": 384,
            // Semantic Features
            "use_whisper": false,
            "use_contentvec": false,
            "use_wenet": false,
            "use_mert": false,
            "whisper_dim": 1024,
            "contentvec_dim": 256,
            "mert_dim": 256,
            "wenet_dim": 512,
            "content_encoder_dim": 384,
            // Speaker Features
            "output_singer_dim": 384,
            "singer_table_size": 512,
            "use_spkid": true
        },
        "diffusion": {
            "scheduler": "ddpm",
            "scheduler_settings": {
                "num_train_timesteps": 1000,
                "beta_start": 1.0e-4,
                "beta_end": 0.02,
                "beta_schedule": "linear"
            },
            // Diffusion steps encoder
            "step_encoder": {
                "dim_raw_embedding": 128,
                "dim_hidden_layer": 512,
                "activation": "SiLU",
                "num_layer": 2,
                "max_period": 10000
            },
            // Diffusion decoder
            "model_type": "bidilconv",
            // bidilconv, unet2d, TODO: unet1d
            "bidilconv": {
                "base_channel": 384,
                "n_res_block": 20,
                "conv_kernel_size": 3,
                "dilation_cycle_length": 4,
                // specially, 1 means no dilation
                "conditioner_size": 384
            },
            "unet2d": {
                "in_channels": 1,
                "out_channels": 1,
                "down_block_types": [
                    "CrossAttnDownBlock2D",
                    "CrossAttnDownBlock2D",
                    "CrossAttnDownBlock2D",
                    "DownBlock2D"
                ],
                "mid_block_type": "UNetMidBlock2DCrossAttn",
                "up_block_types": [
                    "UpBlock2D",
                    "CrossAttnUpBlock2D",
                    "CrossAttnUpBlock2D",
                    "CrossAttnUpBlock2D"
                ],
                "only_cross_attention": false
            }
        }
    },
    "train": {
        // Basic settings
        "batch_size": 64,
        "gradient_accumulation_step": 1,
        "max_epoch": -1,
        // -1 means no limit
        "save_checkpoint_stride": [
            5,
            20
        ],
        // unit is epoch
        "keep_last": [
            3,
            -1
        ],
        // -1 means infinite, if one number will broadcast
        "run_eval": [
            false,
            true
        ],
        // if one number will broadcast
        // Fix the random seed
        "random_seed": 10086,
        // Batchsampler
        "sampler": {
            "holistic_shuffle": true,
            "drop_last": true
        },
        // Dataloader
        "dataloader": {
            "num_worker": 32,
            "pin_memory": true
        },
        // Trackers
        "tracker": [
            "tensorboard"
            // "wandb",
            // "cometml",
            // "mlflow",
        ],
        // Optimizer
        "optimizer": "AdamW",
        "adamw": {
            "lr": 4.0e-4
            // nn model lr
        },
        // LR Scheduler
        "scheduler": "ReduceLROnPlateau",
        "reducelronplateau": {
            "factor": 0.8,
            "patience": 10,
            // unit is epoch
            "min_lr": 1.0e-4
        }
    },
    "inference": {
        "diffusion": {
            "scheduler": "pndm",
            "scheduler_settings": {
                "num_inference_timesteps": 1000
            }
        }
    }
}