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Model/Bishojo_Mangekyo/config_mangekyo.json ADDED
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"\u767e\u6653", "\u767d\u672f", "\u8d1d\u96c5\u7279\u4e3d\u5947", "\u4e3d\u5854", "\u5931\u843d\u8ff7\u8fed", "\u7f2d\u4e71\u661f\u68d8", "\u4f0a\u7538", "\u4f0f\u7279\u52a0\u5973\u5b69", "\u72c2\u70ed\u84dd\u8c03", "\u8389\u8389\u5a05", "\u841d\u838e\u8389\u5a05", "\u516b\u91cd\u6a31", "\u516b\u91cd\u971e", "\u5361\u83b2", "\u7b2c\u516d\u591c\u60f3\u66f2", "\u5361\u841d\u5c14", "\u59ec\u5b50", "\u6781\u5730\u6218\u5203", "\u5e03\u6d1b\u59ae\u5a05", "\u6b21\u751f\u94f6\u7ffc", "\u7406\u4e4b\u5f8b\u8005%26\u5e0c\u513f", "\u7406\u4e4b\u5f8b\u8005", "\u8ff7\u57ce\u9a87\u5154", "\u5e0c\u513f", "\u9b47\u591c\u661f\u6e0a", "\u9ed1\u5e0c\u513f", "\u5e15\u6735\u83f2\u8389\u4e1d", "\u4e0d\u706d\u661f\u951a", "\u5929\u5143\u9a91\u82f1", "\u5e7d\u5170\u9edb\u5c14", "\u6d3e\u8499bh3", "\u7231\u9171", "\u7eef\u7389\u4e38", "\u5fb7\u4e3d\u838e", "\u6708\u4e0b\u521d\u62e5", "\u6714\u591c\u89c2\u661f", "\u66ae\u5149\u9a91\u58eb", "\u683c\u857e\u4fee", "\u7559\u4e91\u501f\u98ce\u771f\u541b", "\u6885\u6bd4\u4e4c\u65af", "\u4eff\u72b9\u5927", "\u514b\u83b1\u56e0", "\u5723\u5251\u5e7d\u5170\u9edb\u5c14", "\u5996\u7cbe\u7231\u8389", "\u7279\u65af\u62c9zero", "\u82cd\u7384", "\u82e5\u6c34", "\u897f\u7433", "\u6234\u56e0\u65af\u96f7\u5e03", "\u8d1d\u62c9", "\u8d64\u9e22", "\u9547\u9b42\u6b4c", "\u6e21\u9e26", "\u4eba\u4e4b\u5f8b\u8005", "\u7231\u8389\u5e0c\u96c5", "\u5929\u7a79\u6e38\u4fa0", "\u742a\u4e9a\u5a1c", "\u7a7a\u4e4b\u5f8b\u8005", "\u85aa\u708e\u4e4b\u5f8b\u8005", "\u4e91\u58a8\u4e39\u5fc3", "\u7b26\u534e", "\u8bc6\u4e4b\u5f8b\u8005", "\u7279\u74e6\u6797", "\u7ef4\u5c14\u8587", "\u82bd\u8863", "\u96f7\u4e4b\u5f8b\u8005", "\u65ad\u7f6a\u5f71\u821e", "\u963f\u6ce2\u5c3c\u4e9a", "\u698e\u672c", "\u5384\u5c3c\u65af\u7279", "\u6076\u9f99", "\u8303\u4e8c\u7237", "\u6cd5\u62c9", "\u611a\u4eba\u4f17\u58eb\u5175", "\u611a\u4eba\u4f17\u58eb\u5175a", "\u611a\u4eba\u4f17\u58eb\u5175b", "\u611a\u4eba\u4f17\u58eb\u5175c", "\u611a\u4eba\u4f17a", "\u611a\u4eba\u4f17b", "\u98de\u98de", "\u83f2\u5229\u514b\u65af", "\u5973\u6027\u8ddf\u968f\u8005", "\u9022\u5ca9", "\u6446\u6e21\u4eba", "\u72c2\u8e81\u7684\u7537\u4eba", "\u5965\u5179", "\u8299\u841d\u62c9", "\u8ddf\u968f\u8005", "\u871c\u6c41\u751f\u7269", "\u9ec4\u9ebb\u5b50", "\u6e0a\u4e0a", "\u85e4\u6728", "\u6df1\u89c1", "\u798f\u672c", "\u8299\u84c9", "\u53e4\u6cfd", "\u53e4\u7530", "\u53e4\u5c71", "\u53e4\u8c37\u6607", "\u5085\u4e09\u513f", "\u9ad8\u8001\u516d", "\u77ff\u5de5\u5192", "\u5143\u592a", "\u5fb7\u5b89\u516c", "\u8302\u624d\u516c", "\u6770\u62c9\u5fb7", "\u845b\u7f57\u4e3d", "\u91d1\u5ffd\u5f8b", "\u516c\u4fca", "\u9505\u5df4", "\u6b4c\u5fb7", "\u963f\u8c6a", "\u72d7\u4e09\u513f", "\u845b\u745e\u4e1d", "\u82e5\u5fc3", "\u963f\u5c71\u5a46", "\u602a\u9e1f", "\u5e7f\u7af9", "\u89c2\u6d77", "\u5173\u5b8f", "\u871c\u6c41\u536b\u5175", "\u5b88\u536b1", "\u50b2\u6162\u7684\u5b88\u536b", "\u5bb3\u6015\u7684\u5b88\u536b", "\u8d35\u5b89", "\u76d6\u4f0a", "\u963f\u521b", "\u54c8\u592b\u4e39", "\u65e5\u8bed\u963f\u8d1d\u591a\uff08\u91ce\u5c9b\u5065\u513f\uff09", "\u65e5\u8bed\u57c3\u6d1b\u4f0a\uff08\u9ad8\u57a3\u5f69\u9633\uff09", "\u65e5\u8bed\u5b89\u67cf\uff08\u77f3\u89c1\u821e\u83dc\u9999\uff09", "\u65e5\u8bed\u795e\u91cc\u7eeb\u534e\uff08\u65e9\u89c1\u6c99\u7ec7\uff09", "\u65e5\u8bed\u795e\u91cc\u7eeb\u4eba\uff08\u77f3\u7530\u5f70\uff09", "\u65e5\u8bed\u767d\u672f\uff08\u6e38\u4f50\u6d69\u4e8c\uff09", "\u65e5\u8bed\u82ad\u82ad\u62c9\uff08\u9b3c\u5934\u660e\u91cc\uff09", "\u65e5\u8bed\u5317\u6597\uff08\u5c0f\u6e05\u6c34\u4e9a\u7f8e\uff09", "\u65e5\u8bed\u73ed\u5c3c\u7279\uff08\u9022\u5742\u826f\u592a\uff09", "\u65e5\u8bed\u574e\u8482\u4e1d\uff08\u67da\u6728\u51c9\u9999\uff09", "\u65e5\u8bed\u91cd\u4e91\uff08\u9f50\u85e4\u58ee\u9a6c\uff09", "\u65e5\u8bed\u67ef\u83b1\uff08\u524d\u5ddd\u51c9\u5b50\uff09", "\u65e5\u8bed\u8d5b\u8bfa\uff08\u5165\u91ce\u81ea\u7531\uff09", "\u65e5\u8bed\u6234\u56e0\u65af\u96f7\u5e03\uff08\u6d25\u7530\u5065\u6b21\u90ce\uff09", "\u65e5\u8bed\u8fea\u5362\u514b\uff08\u5c0f\u91ce\u8d24\u7ae0\uff09", "\u65e5\u8bed\u8fea\u5965\u5a1c\uff08\u4e95\u6cfd\u8bd7\u7ec7\uff09", "\u65e5\u8bed\u591a\u8389\uff08\u91d1\u7530\u670b\u5b50\uff09", "\u65e5\u8bed\u4f18\u83c8\uff08\u4f50\u85e4\u5229\u5948\uff09", "\u65e5\u8bed\u83f2\u8c22\u5c14\uff08\u5185\u7530\u771f\u793c\uff09", "\u65e5\u8bed\u7518\u96e8\uff08\u4e0a\u7530\u4e3d\u5948\uff09", "\u65e5\u8bed\uff08\u7560\u4e2d\u7950\uff09", "\u65e5\u8bed\u9e7f\u91ce\u9662\u5e73\u85cf\uff08\u4e95\u53e3\u7950\u4e00\uff09", "\u65e5\u8bed\u7a7a\uff08\u5800\u6c5f\u77ac\uff09", "\u65e5\u8bed\u8367\uff08\u60a0\u6728\u78a7\uff09", "\u65e5\u8bed\u80e1\u6843\uff08\u9ad8\u6865\u674e\u4f9d\uff09", "\u65e5\u8bed\u4e00\u6597\uff08\u897f\u5ddd\u8d35\u6559\uff09", "\u65e5\u8bed\u51ef\u4e9a\uff08\u9e1f\u6d77\u6d69\u8f85\uff09", "\u65e5\u8bed\u4e07\u53f6\uff08\u5c9b\u5d0e\u4fe1\u957f\uff09", "\u65e5\u8bed\u523b\u6674\uff08\u559c\u591a\u6751\u82f1\u68a8\uff09", "\u65e5\u8bed\u53ef\u8389\uff08\u4e45\u91ce\u7f8e\u54b2\uff09", "\u65e5\u8bed\u5fc3\u6d77\uff08\u4e09\u68ee\u94c3\u5b50\uff09", "\u65e5\u8bed\u4e5d\u6761\u88df\u7f57\uff08\u6fd1\u6237\u9ebb\u6c99\u7f8e\uff09", "\u65e5\u8bed\u4e3d\u838e\uff08\u7530\u4e2d\u7406\u60e0\uff09", "\u65e5\u8bed\u83ab\u5a1c\uff08\u5c0f\u539f\u597d\u7f8e\uff09", "\u65e5\u8bed\u7eb3\u897f\u59b2\uff08\u7530\u6751\u7531\u52a0\u8389\uff09", "\u65e5\u8bed\u59ae\u9732\uff08\u91d1\u5143\u5bff\u5b50\uff09", "\u65e5\u8bed\u51dd\u5149\uff08\u5927\u539f\u6c99\u8036\u9999\uff09", "\u65e5\u8bed\u8bfa\u827e\u5c14\uff08\u9ad8\u5c3e\u594f\u97f3\uff09", "\u65e5\u8bed\u5965\u5179\uff08\u589e\u8c37\u5eb7\u7eaa\uff09", "\u65e5\u8bed\u6d3e\u8499\uff08\u53e4\u8d3a\u8475\uff09", "\u65e5\u8bed\u7434\uff08\u658b\u85e4\u5343\u548c\uff09", "\u65e5\u8bed\u4e03\u4e03\uff08\u7530\u6751\u7531\u52a0\u8389\uff09", "\u65e5\u8bed\u96f7\u7535\u5c06\u519b\uff08\u6cfd\u57ce\u7f8e\u96ea\uff09", "\u65e5\u8bed\u96f7\u6cfd\uff08\u5185\u5c71\u6602\u8f89\uff09", "\u65e5\u8bed\u7f57\u838e\u8389\u4e9a\uff08\u52a0\u9688\u4e9a\u8863\uff09", "\u65e5\u8bed\u65e9\u67da\uff08\u6d32\u5d0e\u7eeb\uff09", "\u65e5\u8bed\u6563\u5175\uff08\u67ff\u539f\u5f7b\u4e5f\uff09", "\u65e5\u8bed\u7533\u9e64\uff08\u5ddd\u6f84\u7eeb\u5b50\uff09", "\u65e5\u8bed\u4e45\u5c90\u5fcd\uff08\u6c34\u6865\u9999\u7ec7\uff09", "\u65e5\u8bed\u5973\u58eb\uff08\u5e84\u5b50\u88d5\u8863\uff09", "\u65e5\u8bed\u7802\u7cd6\uff08\u85e4\u7530\u831c\uff09", "\u65e5\u8bed\u8fbe\u8fbe\u5229\u4e9a\uff08\u6728\u6751\u826f\u5e73\uff09", "\u65e5\u8bed\u6258\u9a6c\uff08\u68ee\u7530\u6210\u4e00\uff09", "\u65e5\u8bed\u63d0\u7eb3\u91cc\uff08\u5c0f\u6797\u6c99\u82d7\uff09", "\u65e5\u8bed\u6e29\u8fea\uff08\u6751\u6fd1\u6b65\uff09", "\u65e5\u8bed\u9999\u83f1\uff08\u5c0f\u6cfd\u4e9a\u674e\uff09", "\u65e5\u8bed\u9b48\uff08\u677e\u5188\u796f\u4e1e\uff09", "\u65e5\u8bed\u884c\u79cb\uff08\u7686\u5ddd\u7eaf\u5b50\uff09", "\u65e5\u8bed\u8f9b\u7131\uff08\u9ad8\u6865\u667a\u79cb\uff09", "\u65e5\u8bed\u516b\u91cd\u795e\u5b50\uff08\u4f50\u4ed3\u7eeb\u97f3\uff09", "\u65e5\u8bed\u70df\u7eef\uff08\u82b1\u5b88\u7531\u7f8e\u91cc\uff09", "\u65e5\u8bed\u591c\u5170\uff08\u8fdc\u85e4\u7eeb\uff09", "\u65e5\u8bed\u5bb5\u5bab\uff08\u690d\u7530\u4f73\u5948\uff09", "\u65e5\u8bed\u4e91\u5807\uff08\u5c0f\u5ca9\u4e95\u5c0f\u9e1f\uff09", "\u65e5\u8bed\u949f\u79bb\uff08\u524d\u91ce\u667a\u662d\uff09", "\u6770\u514b", "\u963f\u5409", "\u6c5f\u821f", "\u9274\u79cb", "\u5609\u4e49", "\u7eaa\u82b3", "\u666f\u6f84", "\u7ecf\u7eb6", "\u666f\u660e", "\u664b\u4f18", "\u963f\u9e20", "\u9152\u5ba2", "\u4e54\u5c14", "\u4e54\u745f\u592b", "\u7ea6\u987f", "\u4e54\u4f0a\u65af", "\u5c45\u5b89", "\u541b\u541b", "\u987a\u5409", "\u7eaf\u4e5f", "\u91cd\u4f50", "\u5927\u5c9b\u7eaf\u5e73", "\u84b2\u6cfd", "\u52d8\u89e3\u7531\u5c0f\u8def\u5065\u4e09\u90ce", "\u67ab", "\u67ab\u539f\u4e49\u5e86", "\u836b\u5c71", "\u7532\u6590\u7530\u9f8d\u99ac", 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+ "upsample_initial_channel": 512,
28
+ "upsample_kernel_sizes": [16,16,4,4],
29
+ "n_layers_q": 3,
30
+ "use_spectral_norm": false,
31
+ "gin_channels": 256
32
+ },
33
+ "speakers": ["\u4e0a\u6d77\u8bdd"],
34
+ "symbols": ["_", ",", ".", "!", "?", "\u2026", "a", "b", "d", "f", "g", "h", "i", "k", "l", "m", "n", "o", "p", "s", "t", "u", "v", "y", "z", "\u00f8", "\u014b", "\u0235", "\u0251", "\u0254", "\u0255", "\u0259", "\u0264", "\u0266", "\u026a", "\u027f", "\u0291", "\u0294", "\u02b0", "\u0303", "\u0329", "\u1d00", "\u1d07", "1", "5", "6", "7", "8", " "]
35
+ }
Model/vctk/pretrained_vctk.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ab981615c443d935fc3a89b08137df544a1175bad99bcbbc9f59e7c3d4930043
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+ size 159123481
Model/vctk/vctk_base.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "train": {
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+ "log_interval": 200,
4
+ "eval_interval": 1000,
5
+ "seed": 1234,
6
+ "epochs": 10000,
7
+ "learning_rate": 2e-4,
8
+ "betas": [0.8, 0.99],
9
+ "eps": 1e-9,
10
+ "batch_size": 64,
11
+ "fp16_run": true,
12
+ "lr_decay": 0.999875,
13
+ "segment_size": 8192,
14
+ "init_lr_ratio": 1,
15
+ "warmup_epochs": 0,
16
+ "c_mel": 45,
17
+ "c_kl": 1.0
18
+ },
19
+ "data": {
20
+ "training_files":"filelists/vctk_audio_sid_text_train_filelist.txt.cleaned",
21
+ "validation_files":"filelists/vctk_audio_sid_text_val_filelist.txt.cleaned",
22
+ "text_cleaners":["english_cleaners2"],
23
+ "max_wav_value": 32768.0,
24
+ "sampling_rate": 22050,
25
+ "filter_length": 1024,
26
+ "hop_length": 256,
27
+ "win_length": 1024,
28
+ "n_mel_channels": 80,
29
+ "mel_fmin": 0.0,
30
+ "mel_fmax": null,
31
+ "add_blank": true,
32
+ "n_speakers": 109,
33
+ "cleaned_text": true
34
+ },
35
+ "model": {
36
+ "inter_channels": 192,
37
+ "hidden_channels": 192,
38
+ "filter_channels": 768,
39
+ "n_heads": 2,
40
+ "n_layers": 6,
41
+ "kernel_size": 3,
42
+ "p_dropout": 0.1,
43
+ "resblock": "1",
44
+ "resblock_kernel_sizes": [3,7,11],
45
+ "resblock_dilation_sizes": [[1,3,5], [1,3,5], [1,3,5]],
46
+ "upsample_rates": [8,8,2,2],
47
+ "upsample_initial_channel": 512,
48
+ "upsample_kernel_sizes": [16,16,4,4],
49
+ "n_layers_q": 3,
50
+ "use_spectral_norm": false,
51
+ "gin_channels": 256
52
+ },
53
+ "speakers": ["vctk1","vctk2","vctk3"],
54
+ "symbols": ["_", ";", ":", ",", ".", "!", "?", "¡", "¿", "—", "…", "\"", "«", "»", "“", "”", " ", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "ɑ", "ɐ", "ɒ", "æ", "ɓ", "ʙ", "β", "ɔ", "ɕ", "ç", "ɗ", "ɖ", "ð", "ʤ", "ə", "ɘ", "ɚ", "ɛ", "ɜ", "ɝ", "ɞ", "ɟ", "ʄ", "ɡ", "ɠ", "ɢ", "ʛ", "ɦ", "ɧ", "ħ", "ɥ", "ʜ", "ɨ", "ɪ", "ʝ", "ɭ", "ɬ", "ɫ", "ɮ", "ʟ", "ɱ", "ɯ", "ɰ", "ŋ", "ɳ", "ɲ", "ɴ", "ø", "ɵ", "ɸ", "θ", "œ", "ɶ", "ʘ", "ɹ", "ɺ", "ɾ", "ɻ", "ʀ", "ʁ", "ɽ", "ʂ", "ʃ", "ʈ", "ʧ", "ʉ", "ʊ", "ʋ", "ⱱ", "ʌ", "ɣ", "ɤ", "ʍ", "χ", "ʎ", "ʏ", "ʑ", "ʐ", "ʒ", "ʔ", "ʡ", "ʕ", "ʢ", "ǀ", "ǁ", "ǂ", "ǃ", "ˈ", "ˌ", "ː", "ˑ", "ʼ", "ʴ", "ʰ", "ʱ", "ʲ", "ʷ", "ˠ", "ˤ", "˞", "↓", "↑", "→", "↗", "↘", "'", "̩", "'", "ᵻ"]
55
+ }
Model/w2v2-vits/1026_epochs.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3f61e221e36af355dba89f20f70215d3a93dbe9fd497172ce46c950f757ccce0
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+ size 159675849
Model/w2v2-vits/config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "train": {
3
+ "segment_size": 8192
4
+ },
5
+ "data": {
6
+ "text_cleaners":["zh_ja_mixture_cleaners"],
7
+ "max_wav_value": 32768.0,
8
+ "sampling_rate": 22050,
9
+ "filter_length": 1024,
10
+ "hop_length": 256,
11
+ "win_length": 1024,
12
+ "add_blank": true,
13
+ "n_speakers": 5,
14
+ "emotion_embedding": true
15
+ },
16
+ "model": {
17
+ "inter_channels": 192,
18
+ "hidden_channels": 192,
19
+ "filter_channels": 768,
20
+ "n_heads": 2,
21
+ "n_layers": 6,
22
+ "kernel_size": 3,
23
+ "p_dropout": 0.1,
24
+ "resblock": "1",
25
+ "resblock_kernel_sizes": [3,7,11],
26
+ "resblock_dilation_sizes": [[1,3,5], [1,3,5], [1,3,5]],
27
+ "upsample_rates": [8,8,2,2],
28
+ "upsample_initial_channel": 512,
29
+ "upsample_kernel_sizes": [16,16,4,4],
30
+ "n_layers_q": 3,
31
+ "use_spectral_norm": false,
32
+ "gin_channels": 256
33
+ },
34
+ "speakers": ["\u7dbe\u5730\u5be7\u3005", "\u5728\u539f\u4e03\u6d77", "\u5c0f\u8338", "\u5510\u4e50\u541f"],
35
+ "symbols": ["_", ",", ".", "!", "?", "-", "~", "\u2026", "A", "E", "I", "N", "O", "Q", "U", "a", "b", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "r", "s", "t", "u", "v", "w", "y", "z", "\u0283", "\u02a7", "\u02a6", "\u026f", "\u0279", "\u0259", "\u0265", "\u207c", "\u02b0", "`", "\u2192", "\u2193", "\u2191", " "]
36
+ }
config.py CHANGED
@@ -34,19 +34,23 @@ LOGGING_LEVEL = "DEBUG"
34
 
35
  # To use the english_cleaner, you need to install espeak and provide the path of libespeak-ng.dll as input here.
36
  # If ESPEAK_LIBRARY is set to empty, it will be read from the environment variable.
37
- ESPEAK_LIBRARY = "C:/Program Files/eSpeak NG/libespeak-ng.dll"
38
 
39
  # Fill in the model path here
40
  MODEL_LIST = [
41
  # VITS
42
- # [ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/1374_epochs.pth", ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/config.json"],
43
- # [ABS_PATH + "/Model/Zero_no_tsukaima/1158_epochs.pth", ABS_PATH + "/Model/Zero_no_tsukaima/config.json"],
44
- [ABS_PATH + "/Model/g/G_953000.pth", ABS_PATH + "/Model/g/config.json"],
45
- # # HuBert-VITS (Need to configure HUBERT_SOFT_MODEL)
46
- # [ABS_PATH + "/Model/louise/360_epochs.pth", ABS_PATH + "/Model/louise/config.json"],
47
- # # W2V2-VITS (Need to configure DIMENSIONAL_EMOTION_NPY)
48
- # [ABS_PATH + "/Model/w2v2-vits/1026_epochs.pth", ABS_PATH + "/Model/w2v2-vits/config.json"],
49
- # [ABS_PATH + "/Model/1/G_latest.pth", ABS_PATH + "/Model/1/finetune_speaker.json"],
 
 
 
 
50
  ]
51
 
52
  # hubert-vits: hubert soft model
@@ -59,7 +63,7 @@ HUBERT_SOFT_MODEL = ABS_PATH + "/Model/hubert-soft-0d54a1f4.pt"
59
  DIMENSIONAL_EMOTION_NPY = ABS_PATH + "/Model/npy"
60
 
61
  # w2v2-vits: Need to have both `model.onnx` and `model.yaml` files in the same path.
62
- # DIMENSIONAL_EMOTION_MODEL = ABS_PATH + "/Model/model.yaml"
63
 
64
  """
65
  Default parameter
 
34
 
35
  # To use the english_cleaner, you need to install espeak and provide the path of libespeak-ng.dll as input here.
36
  # If ESPEAK_LIBRARY is set to empty, it will be read from the environment variable.
37
+ ESPEAK_LIBRARY = ""
38
 
39
  # Fill in the model path here
40
  MODEL_LIST = [
41
  # VITS
42
+ [ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/1374_epochs.pth", ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/config.json"],
43
+ [ABS_PATH + "/Model/vctk/pretrained_vctk.pth", ABS_PATH + "/Model/vctk/vctk_base.json"],
44
+ [ABS_PATH + "/Model/paimonpaimon6k_390000.pth", ABS_PATH + "/Model/paimon/paimon6k.json"],
45
+ [ABS_PATH + "/Model/Bishojo_Mangekyo/generator_mangekyo.pth", ABS_PATH + "/Model/Bishojo_Mangekyo/config_mangekyo.json"],
46
+ [ABS_PATH + "/Model/Cantonese/model.pth", ABS_PATH + "/Model/Cantonese/config.json"],
47
+ [ABS_PATH + "/Model/shanghainese/2769_epochs.pth", ABS_PATH + "/Model/shanghainese/config.json"],
48
+ [ABS_PATH + "/Model/genshin/G_953000.pth", ABS_PATH + "/Model/genshin/config.json"],
49
+ # HuBert-VITS (Need to configure HUBERT_SOFT_MODEL)
50
+ [ABS_PATH + "/Model/louise/360_epochs.pth", ABS_PATH + "/Model/louise/config.json"],
51
+ # W2V2-VITS (Need to configure DIMENSIONAL_EMOTION_NPY)
52
+ [ABS_PATH + "/Model/w2v2-vits/1026_epochs.pth", ABS_PATH + "/Model/w2v2-vits/config.json"],
53
+
54
  ]
55
 
56
  # hubert-vits: hubert soft model
 
63
  DIMENSIONAL_EMOTION_NPY = ABS_PATH + "/Model/npy"
64
 
65
  # w2v2-vits: Need to have both `model.onnx` and `model.yaml` files in the same path.
66
+ DIMENSIONAL_EMOTION_MODEL = ABS_PATH + "/Model/model.yaml"
67
 
68
  """
69
  Default parameter
templates/index.html CHANGED
@@ -9,6 +9,89 @@
9
  <body>
10
  <main>
11
  <h1>vits-simple-api</h1>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
 
13
  </main>
14
  </body>
 
9
  <body>
10
  <main>
11
  <h1>vits-simple-api</h1>
12
+ <h2>所有模型均为网络搜集,感谢模型原作者的付出!</h2>
13
+ <p>
14
+ Nene_Nanami_Rong_Tang:
15
+ <a
16
+ href="https://github.com/CjangCjengh/TTSModels"
17
+ rel="noreferrer"
18
+ target="_blank"
19
+ >CjangCjengh/TTSModels</a
20
+ >
21
+ </p>
22
+ <p>
23
+ louise:
24
+ <a
25
+ href="https://github.com/CjangCjengh/TTSModels"
26
+ rel="noreferrer"
27
+ target="_blank"
28
+ >CjangCjengh/TTSModels</a
29
+ >
30
+ </p>
31
+ <p>
32
+ Cantonese:
33
+ <a
34
+ href="https://github.com/CjangCjengh/TTSModels"
35
+ rel="noreferrer"
36
+ target="_blank"
37
+ >CjangCjengh/TTSModels</a
38
+ >
39
+ </p>
40
+ <p>
41
+ shanghainese:
42
+ <a
43
+ href="https://github.com/CjangCjengh/TTSModels"
44
+ rel="noreferrer"
45
+ target="_blank"
46
+ >CjangCjengh/TTSModels</a
47
+ >
48
+ </p>
49
+ <p>
50
+ w2v2-vits:
51
+ <a
52
+ href="https://github.com/CjangCjengh/TTSModels"
53
+ rel="noreferrer"
54
+ target="_blank"
55
+ >CjangCjengh/TTSModels</a
56
+ >
57
+ </p>
58
+ <p>
59
+ vctk:
60
+ <a
61
+ href="https://github.com/jaywalnut310/vits"
62
+ rel="noreferrer"
63
+ target="_blank"
64
+ >jaywalnut310/vits</a
65
+ >
66
+ </p>
67
+ <p>
68
+ Bishojo Mangekyo:
69
+ <a
70
+ href="https://github.com/Francis-Komizu/VITS"
71
+ rel="noreferrer"
72
+ target="_blank"
73
+ >Francis-Komizu/VITS</a
74
+ >
75
+ </p>
76
+ <p>
77
+ genshin:
78
+ <a
79
+ href="https://huggingface.co/spaces/zomehwh/vits-uma-genshin-honkai"
80
+ rel="noreferrer"
81
+ target="_blank"
82
+ >zomehwh/vits-uma-genshin-honkai</a
83
+ >
84
+ </p>
85
+ <p>
86
+ paimon:
87
+ <a
88
+ href="https://github.com/zixiiu/Digital_Life_Server"
89
+ rel="noreferrer"
90
+ target="_blank"
91
+ >zixiiu/Digital_Life_Server</a
92
+ >
93
+ </p>
94
+
95
 
96
  </main>
97
  </body>