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_target_: fish_speech.models.vqgan.modules.firefly.FireflyArchitecture | |
spec_transform: | |
_target_: fish_speech.utils.spectrogram.LogMelSpectrogram | |
sample_rate: 44100 | |
n_mels: 160 | |
n_fft: 2048 | |
hop_length: 512 | |
win_length: 2048 | |
backbone: | |
_target_: fish_speech.models.vqgan.modules.firefly.ConvNeXtEncoder | |
input_channels: 160 | |
depths: [3, 3, 9, 3] | |
dims: [128, 256, 384, 512] | |
drop_path_rate: 0.2 | |
kernel_size: 7 | |
head: | |
_target_: fish_speech.models.vqgan.modules.firefly.HiFiGANGenerator | |
hop_length: 512 | |
upsample_rates: [8, 8, 2, 2, 2] # aka. strides | |
upsample_kernel_sizes: [16, 16, 4, 4, 4] | |
resblock_kernel_sizes: [3, 7, 11] | |
resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3, 5]] | |
num_mels: 512 | |
upsample_initial_channel: 512 | |
pre_conv_kernel_size: 13 | |
post_conv_kernel_size: 13 | |
quantizer: | |
_target_: fish_speech.models.vqgan.modules.fsq.DownsampleFiniteScalarQuantize | |
input_dim: 512 | |
n_groups: 8 | |
n_codebooks: 1 | |
levels: [8, 5, 5, 5] | |
downsample_factor: [2, 2] | |