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README.md CHANGED
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  - **Model type:** [so-vits-svc 3.0 48kHz](https://github.com/svc-develop-team/so-vits-svc/tree/3.0-48k)、[so-vits-svc 4.0](https://github.com/svc-develop-team/so-vits-svc)
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  - **Demo:** [SPACE: AI岁己(歌声变声器)](https://huggingface.co/spaces/Miuzarte/SUI-svc-3.0)、[SPACE: AI岁己(歌声变声器)第二代](https://huggingface.co/spaces/Miuzarte/SUI-svc-4.0)
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  ### pth文件名的训练步数是程序按学习率等超参数得出的步数,onnx文件名的步数为实际训练步数
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  |sovits3_v1|Base/G_1000000.pth|Singing/G_1M111000.pth|Singing/G_100000.pth|
 
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  - **Model type:** [so-vits-svc 3.0 48kHz](https://github.com/svc-develop-team/so-vits-svc/tree/3.0-48k)、[so-vits-svc 4.0](https://github.com/svc-develop-team/so-vits-svc)
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  - **Demo:** [SPACE: AI岁己(歌声变声器)](https://huggingface.co/spaces/Miuzarte/SUI-svc-3.0)、[SPACE: AI岁己(歌声变声器)第二代](https://huggingface.co/spaces/Miuzarte/SUI-svc-4.0)
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+ ### 新模型:分子4.1-Latest
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+
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+ 跟几个旧的4.0一样的训练集,底模比之前好了不少炼起来快了很多
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+
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+ 算力提供:[米玖澪](https://space.bilibili.com/365980549)
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+
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+ 没导出onnx,去用 [Google Colab](https://colab.research.google.com/github/svc-develop-team/so-vits-svc/blob/4.1-Stable/sovits4_for_colab.ipynb) 来推理挺方便的
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+
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+ |sovits4.1-Latest|G_101600.pth|model_196000.pt|
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+ |-:|:-:|:-:|
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+ |备注|主模型|浅扩撒模型|
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+
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+ ### 旧模型:
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+
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  ### pth文件名的训练步数是程序按学习率等超参数得出的步数,onnx文件名的步数为实际训练步数
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  |sovits3_v1|Base/G_1000000.pth|Singing/G_1M111000.pth|Singing/G_100000.pth|
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sovits4.1-Latest_44k/config.json ADDED
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+ {
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+ "train": {
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+ "log_interval": 200,
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+ "eval_interval": 800,
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+ "seed": 1234,
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+ "epochs": 10000,
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+ "learning_rate": 0.0001,
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+ "betas": [
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+ 0.8,
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+ 0.99
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+ ],
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+ "eps": 1e-09,
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+ "batch_size": 25,
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+ "fp16_run": true,
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+ "half_type": "fp16",
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+ "lr_decay": 0.999875,
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+ "segment_size": 10240,
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+ "init_lr_ratio": 1,
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+ "warmup_epochs": 0,
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+ "c_mel": 45,
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+ "c_kl": 1.0,
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+ "use_sr": true,
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+ "max_speclen": 512,
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+ "port": "8001",
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+ "keep_ckpts": 3,
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+ "all_in_mem": false,
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+ "vol_aug": true
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+ },
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+ "data": {
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+ "training_files": "filelists/train.txt",
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+ "validation_files": "filelists/val.txt",
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+ "sampling_rate": 44100,
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+ "filter_length": 2048,
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+ "win_length": 2048,
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+ "n_mel_channels": 80,
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+ "mel_fmin": 0.0,
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+ "mel_fmax": 22050,
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+ "unit_interpolate_mode": "nearest"
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+ },
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+ "model": {
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+ "inter_channels": 192,
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+ "hidden_channels": 192,
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+ "filter_channels": 768,
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+ "n_heads": 2,
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+ "n_layers": 6,
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+ "kernel_size": 3,
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+ "p_dropout": 0.1,
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+ "resblock": "1",
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+ "resblock_kernel_sizes": [
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+ "resblock_dilation_sizes": [
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+ "upsample_rates": [
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+ "upsample_initial_channel": 512,
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+ "upsample_kernel_sizes": [
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+ "n_layers_q": 3,
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+ "use_spectral_norm": false,
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+ "gin_channels": 768,
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+ "ssl_dim": 768,
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+ "n_speakers": 1,
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+ "vocoder_name": "nsf-hifigan",
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+ "speech_encoder": "vec768l12",
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+ "use_depthwise_conv": false,
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+ },
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+ "spk": {
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+ }
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+ }
sovits4.1-Latest_44k/config.yaml ADDED
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+ data:
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+ block_size: 512
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+ cnhubertsoft_gate: 10
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+ duration: 2
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+ encoder: vec768l12
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+ encoder_hop_size: 320
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+ encoder_out_channels: 768
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+ encoder_sample_rate: 16000
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+ extensions:
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+ - wav
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+ sampling_rate: 44100
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+ training_files: filelists/train.txt
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+ unit_interpolate_mode: nearest
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+ validation_files: filelists/val.txt
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+ device: cuda
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+ env:
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+ expdir: logs/44k/diffusion
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+ gpu_id: 0
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+ infer:
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+ method: dpm-solver++
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+ speedup: 10
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+ model:
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+ k_step_max: 200
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+ n_chans: 512
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+ n_hidden: 256
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+ n_layers: 20
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+ n_spk: 1
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+ timesteps: 1000
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+ type: Diffusion
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+ use_pitch_aug: true
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+ spk:
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+ sui: 0
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+ train:
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+ amp_dtype: fp32
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+ batch_size: 48
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+ cache_all_data: true
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+ cache_device: cpu
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+ cache_fp16: true
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+ decay_step: 100000
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+ epochs: 100000
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+ gamma: 0.5
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+ interval_force_save: 5000
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+ lr: 0.0001
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+ num_workers: 4
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+ save_opt: false
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+ weight_decay: 0
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+ vocoder:
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+ ckpt: pretrain/nsf_hifigan/model
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+ type: nsf-hifigan
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