Seed-VC / config_dit_mel_seed_uvit_xlsr_tiny.yml
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log_dir: "runs/run_mel_seed_uvit_xlsr_tiny"
save_freq: 1
log_interval: 10
save_interval: 500
device: "cuda"
epochs: 1000 # number of epochs for first stage training (pre-training)
batch_size: 2
batch_length: 100 # maximum duration of audio in a batch (in seconds)
max_len: 80 # maximum number of frames
pretrained_model: "DiT_uvit_tat_xlsr_ema.pth"
pretrained_encoder: ""
load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
preprocess_params:
sr: 22050
spect_params:
n_fft: 1024
win_length: 1024
hop_length: 256
n_mels: 80
fmin: 0
fmax: 8000
model_params:
dit_type: "DiT" # uDiT or DiT
reg_loss_type: "l1" # l1 or l2
diffusion_type: "flow"
timbre_shifter:
se_db_path: "./modules/openvoice/checkpoints_v2/converter/se_db.pt"
ckpt_path: './modules/openvoice/checkpoints_v2/converter'
vocoder:
type: "hifigan"
speech_tokenizer:
type: 'xlsr'
output_layer: 12
name: 'facebook/wav2vec2-xls-r-300m'
style_encoder:
dim: 192
campplus_path: "campplus_cn_common.bin"
length_regulator:
channels: 384
is_discrete: false
in_channels: 1024
content_codebook_size: 1024
sampling_ratios: [1, 1, 1, 1]
vector_quantize: false
n_codebooks: 2
quantizer_dropout: 0.0
f0_condition: false
n_f0_bins: 512
DiT:
hidden_dim: 384
num_heads: 6
depth: 9
class_dropout_prob: 0.1
block_size: 8192
in_channels: 80
style_condition: true
final_layer_type: 'mlp'
target: 'mel' # mel or betavae
content_dim: 384
content_codebook_size: 1024
content_type: 'discrete'
f0_condition: false
n_f0_bins: 512
content_codebooks: 1
is_causal: false
long_skip_connection: false
zero_prompt_speech_token: false # for prompt component, do not input corresponding speech token
time_as_token: true
style_as_token: true
uvit_skip_connection: true
add_resblock_in_transformer: false
loss_params:
base_lr: 0.0001