├── update_patches.txt ├── uvr_patch_version.txt ├── .gitattributes ├── filelists ├── aes_dev │ ├── vip_key.txt.aes │ ├── inst_model_epochs_10-17.txt.aes │ ├── inst_model_epochs_26-40.txt.aes │ ├── inst_model_epochs_41-50.txt.aes │ ├── inst_model_epochs_51-57.txt.aes │ ├── inst_model_epochs_58-64.txt.aes │ ├── inst_model_epochs_65-74.txt.aes │ ├── inst_model_epochs_75-91.txt.aes │ ├── inst_model_epochs_103-106.txt.aes │ ├── inst_model_epochs_107-162.txt.aes │ ├── inst_model_epochs_163-172.txt.aes │ ├── inst_model_epochs_251-274.txt.aes │ └── voc_model_epochs_434-439.txt.aes ├── aes_vip │ ├── UVR-MDX-NET_Main_340.txt.aes │ ├── UVR-MDX-NET_Main_390.txt.aes │ ├── UVR-MDX-NET_Main_406.txt.aes │ ├── UVR-MDX-NET_Main_427.txt.aes │ ├── UVR-MDX-NET_Main_438.txt.aes │ ├── UVR-MDX-NET_Inst_187_beta.txt.aes │ ├── UVR-MDX-NET_Inst_82_beta.txt.aes │ └── UVR-MDX-NET_Inst_90_beta.txt.aes ├── hashes │ ├── mdx_original_hashes.txt │ ├── mdx_new_hashes.txt │ └── mdx_new_inst_hashes.txt ├── download_lists │ ├── dev_mdx_download_list.txt │ ├── gen_mdx_download_list.txt │ ├── dev_demucs_download_list.txt │ ├── gen_demucs_download_list.txt │ ├── vip_demucs_download_list.txt │ ├── vip_mdx_download_list.txt │ ├── dev_vr_download_list.txt │ ├── gen_vr_download_list.txt │ ├── vip_vr_download_list.txt │ └── download_links.json ├── download_list.json └── download_checks.json ├── mdx_model_data ├── mdx_c_configs │ ├── model1.yaml │ ├── model2.yaml │ ├── model3.yaml │ ├── model_2_stem_full_band.yaml │ ├── model_2_stem_full_band_2.yaml │ ├── model_2_stem_061321.yaml │ ├── modelA.yaml │ ├── sndfx.yaml │ ├── model_2_stem_full_band_3.yaml │ ├── modelB.yaml │ ├── model_2_stem_full_band_8k.yaml │ ├── config_melbandroformer_inst.yaml │ ├── config_mdx23c_similarity.yaml │ ├── config_melbandroformer_inst_v2.yaml │ ├── config_melbandroformer_instvoc_duality.yaml │ ├── config_vocals_mel_band_roformer_kim.yaml │ ├── config_musdb18_scnet.yaml │ ├── config_mel_band_roformer_karaoke.yaml │ ├── model_mel_band_roformer_ep_3005_sdr_11.4360.yaml │ ├── config_musdb18_scnet_large.yaml │ ├── config_musdb18_scnet_large_starrytong.yaml │ ├── config_dnr_bandit_v2_mus64.yaml │ ├── config_dnr_bandit_bsrnn_multi_mus64.yaml │ ├── BS_Inst_EXP_VRL.yaml │ ├── aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml │ ├── model_bs_roformer_ep_317_sdr_12.9755.yaml │ ├── model_bs_roformer_ep_368_sdr_12.9628.yaml │ ├── config_mel_band_roformer_similarity.yaml │ ├── deverb_bs_roformer_8_256dim_8depth.yaml │ ├── model_bs_roformer_ep_937_sdr_10.5309.yaml │ ├── config_dereverb_mdx23c.yaml │ ├── config_bs_roformer_384_8_2_485100.yaml │ └── config_musdb18_scnet_xl.yaml ├── model_name_mapper.json ├── model_data.json └── model_data_new.json ├── demucs_model_data └── model_name_mapper.json ├── vr_model_data ├── model_data.json └── model_data_new.json └── bulletin.txt /update_patches.txt: -------------------------------------------------------------------------------- 1 | UVR_Patch_12_18_22_6_41 -------------------------------------------------------------------------------- /uvr_patch_version.txt: -------------------------------------------------------------------------------- 1 | UVR_Patch_12_18_2022_641 -------------------------------------------------------------------------------- /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /filelists/aes_dev/vip_key.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/vip_key.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Main_340.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Main_340.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Main_390.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Main_390.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Main_406.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Main_406.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Main_427.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Main_427.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Main_438.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Main_438.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_10-17.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_10-17.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_26-40.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_26-40.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_41-50.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_41-50.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_51-57.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_51-57.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_58-64.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_58-64.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_65-74.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_65-74.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_75-91.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_75-91.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_103-106.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_103-106.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_107-162.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_107-162.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_163-172.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_163-172.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/inst_model_epochs_251-274.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/inst_model_epochs_251-274.txt.aes -------------------------------------------------------------------------------- /filelists/aes_dev/voc_model_epochs_434-439.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_dev/voc_model_epochs_434-439.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Inst_187_beta.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Inst_187_beta.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Inst_82_beta.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Inst_82_beta.txt.aes -------------------------------------------------------------------------------- /filelists/aes_vip/UVR-MDX-NET_Inst_90_beta.txt.aes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TRvlvr/application_data/HEAD/filelists/aes_vip/UVR-MDX-NET_Inst_90_beta.txt.aes -------------------------------------------------------------------------------- /filelists/hashes/mdx_original_hashes.txt: -------------------------------------------------------------------------------- 1 | 1bbcb39d8a4be721d9322e62f13de1c1 2 | 94422d1d6eb7019eff97dbef2daba979 3 | d3b87173f484864674ee2a21cd7b35f2 4 | 053f663b23c70c6c1f52938fb480f5b8 5 | 76929c1b5b9b804f89f4ebb78712c668 6 | 1fca95895de30c3ed5db3cd235a9dbeb -------------------------------------------------------------------------------- /filelists/download_lists/dev_mdx_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | MDX-Net Model: UVR_MDXNET_Main 4 | MDX-Net Model: UVR_MDXNET_1_9703 5 | MDX-Net Model: UVR_MDXNET_2_9682 6 | MDX-Net Model: UVR_MDXNET_3_9662 7 | MDX-Net Model: UVR_MDXNET_9482 8 | MDX-Net Model: UVR_MDXNET_KARA 9 | Developer Pack: inst_model_epochs_251-274 10 | -------------------------------------------------------------------------------- /filelists/download_lists/gen_mdx_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | MDX-Net Model: UVR_MDXNET_Main 4 | MDX-Net Model: UVR_MDXNET_1_9703 5 | MDX-Net Model: UVR_MDXNET_2_9682 6 | MDX-Net Model: UVR_MDXNET_3_9662 7 | MDX-Net Model: UVR_MDXNET_9482 8 | MDX-Net Model: UVR_MDXNET_KARA 9 | MDX-Net Model: UVR-MDX-NET-Inst_1 10 | MDX-Net Model: UVR-MDX-NET-Inst_2 11 | MDX-Net Model: UVR-MDX-NET-Inst_3 12 | -------------------------------------------------------------------------------- /filelists/download_lists/dev_demucs_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | Demucs v3: UVR Models 4 | Demucs v3: mdx 5 | Demucs v3: mdx_q 6 | Demucs v3: mdx_extra 7 | Demucs v3: mdx_extra_q 8 | Demucs v2: demucs 9 | Demucs v2: demucs_extra 10 | Demucs v2: demucs48_hq 11 | Demucs v2: tasnet 12 | Demucs v2: tasnet_extra 13 | Demucs v2: demucs_unittest 14 | Demucs v1: demucs 15 | Demucs v1: demucs_extra 16 | Demucs v1: light 17 | Demucs v1: light_extra 18 | Demucs v1: tasnet 19 | Demucs v1: tasnet_extra -------------------------------------------------------------------------------- /filelists/download_lists/gen_demucs_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | Demucs v3: UVR Models 4 | Demucs v3: mdx 5 | Demucs v3: mdx_q 6 | Demucs v3: mdx_extra 7 | Demucs v3: mdx_extra_q 8 | Demucs v2: demucs 9 | Demucs v2: demucs_extra 10 | Demucs v2: demucs48_hq 11 | Demucs v2: tasnet 12 | Demucs v2: tasnet_extra 13 | Demucs v2: demucs_unittest 14 | Demucs v1: demucs 15 | Demucs v1: demucs_extra 16 | Demucs v1: light 17 | Demucs v1: light_extra 18 | Demucs v1: tasnet 19 | Demucs v1: tasnet_extra -------------------------------------------------------------------------------- /filelists/download_lists/vip_demucs_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | Demucs v3: UVR Models 4 | Demucs v3: mdx 5 | Demucs v3: mdx_q 6 | Demucs v3: mdx_extra 7 | Demucs v3: mdx_extra_q 8 | Demucs v2: demucs 9 | Demucs v2: demucs_extra 10 | Demucs v2: demucs48_hq 11 | Demucs v2: tasnet 12 | Demucs v2: tasnet_extra 13 | Demucs v2: demucs_unittest 14 | Demucs v1: demucs 15 | Demucs v1: demucs_extra 16 | Demucs v1: light 17 | Demucs v1: light_extra 18 | Demucs v1: tasnet 19 | Demucs v1: tasnet_extra -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model1.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 260096 3 | dim_f: 4096 4 | dim_t: 128 5 | hop_length: 2048 6 | n_fft: 8192 7 | num_channels: 2 8 | sample_rate: 44100 9 | model: 10 | act: gelu 11 | bottleneck_factor: 4 12 | growth: 64 13 | norm: InstanceNorm 14 | num_blocks_per_scale: 2 15 | num_channels: 128 16 | num_scales: 5 17 | num_subbands: 4 18 | scale: 19 | - 2 20 | - 2 21 | training: 22 | batch_size: 8 23 | grad_clip: 0 24 | instruments: 25 | - Vocals 26 | - Drums 27 | - Bass 28 | - Other 29 | lr: 5.0e-05 30 | target_instrument: null 31 | inference: 32 | batch_size: 1 33 | dim_t: 1024 34 | num_overlap: 8 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model2.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 260096 3 | dim_f: 4096 4 | dim_t: 128 5 | hop_length: 2048 6 | n_fft: 8192 7 | num_channels: 2 8 | sample_rate: 44100 9 | model: 10 | act: gelu 11 | bottleneck_factor: 4 12 | growth: 64 13 | norm: InstanceNorm 14 | num_blocks_per_scale: 2 15 | num_channels: 256 16 | num_scales: 5 17 | num_subbands: 4 18 | scale: 19 | - 2 20 | - 2 21 | training: 22 | batch_size: 8 23 | grad_clip: 0 24 | instruments: 25 | - Vocals 26 | - Drums 27 | - Bass 28 | - Other 29 | lr: 3.0e-05 30 | target_instrument: null 31 | inference: 32 | batch_size: 1 33 | dim_t: 1024 34 | num_overlap: 8 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model3.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 260096 3 | dim_f: 4096 4 | dim_t: 128 5 | hop_length: 2048 6 | n_fft: 12288 7 | num_channels: 2 8 | sample_rate: 44100 9 | model: 10 | act: gelu 11 | bottleneck_factor: 4 12 | growth: 64 13 | norm: InstanceNorm 14 | num_blocks_per_scale: 2 15 | num_channels: 128 16 | num_scales: 5 17 | num_subbands: 4 18 | scale: 19 | - 2 20 | - 2 21 | training: 22 | batch_size: 8 23 | grad_clip: 0 24 | instruments: 25 | - Vocals 26 | - Drums 27 | - Bass 28 | - Other 29 | lr: 5.0e-05 30 | target_instrument: Vocals 31 | inference: 32 | batch_size: 1 33 | dim_t: 1024 34 | num_overlap: 8 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_2_stem_full_band.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 260096 3 | dim_f: 6144 4 | dim_t: 128 5 | hop_length: 2048 6 | n_fft: 12288 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | model: 11 | act: gelu 12 | bottleneck_factor: 4 13 | growth: 64 14 | norm: InstanceNorm 15 | num_blocks_per_scale: 2 16 | num_channels: 128 17 | num_scales: 5 18 | num_subbands: 6 19 | scale: 20 | - 2 21 | - 2 22 | training: 23 | batch_size: 14 24 | grad_clip: 0 25 | instruments: 26 | - Vocals 27 | - Instrumental 28 | lr: 3.0e-05 29 | target_instrument: null 30 | num_epochs: 1000 31 | num_steps: 1000 32 | augmentation: 1 33 | inference: 34 | batch_size: 1 35 | dim_t: 256 36 | num_overlap: 8 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_2_stem_full_band_2.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 260096 3 | dim_f: 6144 4 | dim_t: 128 5 | hop_length: 2048 6 | n_fft: 12288 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | model: 11 | act: gelu 12 | bottleneck_factor: 4 13 | growth: 128 14 | norm: InstanceNorm 15 | num_blocks_per_scale: 2 16 | num_channels: 128 17 | num_scales: 5 18 | num_subbands: 6 19 | scale: 20 | - 2 21 | - 2 22 | training: 23 | batch_size: 14 24 | grad_clip: 0 25 | instruments: 26 | - Vocals 27 | - Instrumental 28 | lr: 2.0e-05 29 | target_instrument: null 30 | num_epochs: 1000 31 | num_steps: 1000 32 | augmentation: 1 33 | inference: 34 | batch_size: 1 35 | dim_t: 256 36 | num_overlap: 8 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_2_stem_061321.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 260096 3 | dim_f: 4096 4 | dim_t: 256 5 | hop_length: 2048 6 | n_fft: 12288 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | model: 11 | act: gelu 12 | bottleneck_factor: 4 13 | growth: 64 14 | norm: InstanceNorm 15 | num_blocks_per_scale: 2 16 | num_channels: 128 17 | num_scales: 5 18 | num_subbands: 4 19 | scale: 20 | - 2 21 | - 2 22 | name: epoch_10.ckpt 23 | training: 24 | batch_size: 16 25 | grad_clip: 0 26 | instruments: 27 | - Vocals 28 | - Instrumental 29 | lr: 5.0e-05 30 | target_instrument: null 31 | num_epochs: 100 32 | num_steps: 1000 33 | inference: 34 | batch_size: 1 35 | dim_t: 256 36 | num_overlap: 8 37 | -------------------------------------------------------------------------------- /filelists/download_lists/vip_mdx_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | MDX-Net Model: UVR_MDXNET_Main 4 | MDX-Net Model: UVR_MDXNET_1_9703 5 | MDX-Net Model: UVR_MDXNET_2_9682 6 | MDX-Net Model: UVR_MDXNET_3_9662 7 | MDX-Net Model: UVR_MDXNET_9482 8 | MDX-Net Model: UVR_MDXNET_KARA 9 | MDX-Net Model: UVR-MDX-NET-Inst_1 10 | MDX-Net Model: UVR-MDX-NET-Inst_2 11 | MDX-Net Model: UVR-MDX-NET-Inst_3 12 | MDX-Net Model VIP: UVR-MDX-NET_Main_340 13 | MDX-Net Model VIP: UVR-MDX-NET_Main_390 14 | MDX-Net Model VIP: UVR-MDX-NET_Main_406 15 | MDX-Net Model VIP: UVR-MDX-NET_Main_427 16 | MDX-Net Model VIP: UVR-MDX-NET_Main_438 17 | MDX-Net Model VIP: UVR-MDX-NET_Inst_82_beta 18 | MDX-Net Model VIP: UVR-MDX-NET_Inst_90_beta 19 | MDX-Net Model VIP: UVR-MDX-NET_Inst_187_beta 20 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/modelA.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 261120 3 | dim_f: 4096 4 | dim_t: 256 5 | hop_length: 1024 6 | min_mean_abs: 0.01 7 | n_fft: 8192 8 | num_channels: 2 9 | sample_rate: 44100 10 | model: 11 | act: gelu 12 | bottleneck_factor: 4 13 | growth: 64 14 | norm: InstanceNorm 15 | num_blocks_per_scale: 2 16 | num_channels: 64 17 | num_scales: 5 18 | num_subbands: 4 19 | scale: 20 | - 2 21 | - 2 22 | training: 23 | batch_size: 6 24 | coarse_loss_clip: true 25 | ema_momentum: 0.999 26 | grad_clip: null 27 | instruments: 28 | - Vocals 29 | - Drums 30 | - Bass 31 | - Other 32 | lr: 0.0001 33 | num_steps: 100000 34 | q: 0.4 35 | target_instrument: null 36 | inference: 37 | batch_size: 2 38 | dim_t: 1024 39 | num_overlap: 8 40 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/sndfx.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 261120 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 1024 6 | min_mean_abs: 0.01 7 | n_fft: 2048 8 | num_channels: 2 9 | sample_rate: 44100 10 | stereo_prob: 0.7 11 | model: 12 | act: gelu 13 | bottleneck_factor: 4 14 | growth: 64 15 | norm: InstanceNorm 16 | num_blocks_per_scale: 2 17 | num_channels: 64 18 | num_scales: 5 19 | num_subbands: 4 20 | scale: 21 | - 2 22 | - 2 23 | training: 24 | batch_size: 8 25 | ema_momentum: 0.999 26 | grad_clip: null 27 | instruments: 28 | - Music 29 | - Speech 30 | - SFX 31 | lr: 0.0001 32 | num_steps: 30000 33 | target_instrument: null 34 | inference: 35 | batch_size: 8 36 | dim_t: 256 37 | instruments: 38 | - Music 39 | - Dialog 40 | - Effect 41 | num_overlap: 8 42 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_2_stem_full_band_3.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 261120 3 | dim_f: 6144 4 | dim_t: 256 5 | hop_length: 1024 6 | n_fft: 12288 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | model: 11 | act: gelu 12 | bottleneck_factor: 4 13 | growth: 128 14 | norm: InstanceNorm 15 | num_blocks_per_scale: 2 16 | num_channels: 128 17 | num_scales: 5 18 | num_subbands: 6 19 | scale: 20 | - 2 21 | - 2 22 | training: 23 | batch_size: 6 24 | grad_clip: 0 25 | instruments: 26 | - Vocals 27 | - Instrumental 28 | lr: 1.0e-05 29 | target_instrument: null 30 | num_epochs: 1000 31 | num_steps: 1000 32 | augmentation: 1 33 | q: 0.95 34 | coarse_loss_clip: true 35 | ema_momentum: 0.999 36 | inference: 37 | batch_size: 1 38 | dim_t: 256 39 | num_overlap: 8 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/modelB.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 261120 3 | dim_f: 4096 4 | dim_t: 256 5 | hop_length: 1024 6 | min_mean_abs: 0.01 7 | n_fft: 8192 8 | num_channels: 2 9 | sample_rate: 44100 10 | model: 11 | act: gelu 12 | bottleneck_factor: 4 13 | growth: 64 14 | norm: InstanceNorm 15 | num_blocks_per_scale: 2 16 | num_channels: 64 17 | num_scales: 5 18 | num_subbands: 4 19 | scale: 20 | - 2 21 | - 2 22 | training: 23 | batch_size: 6 24 | coarse_loss_clip: false 25 | datasets: 26 | - ../data/moises/bleeding 27 | ema_momentum: 0.999 28 | grad_clip: null 29 | instruments: 30 | - Vocals 31 | - Drums 32 | - Bass 33 | - Other 34 | lr: 0.0001 35 | num_steps: 150000 36 | q: 0.93 37 | target_instrument: null 38 | inference: 39 | batch_size: 2 40 | dim_t: 1024 41 | num_overlap: 8 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_2_stem_full_band_8k.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 261120 3 | dim_f: 4096 4 | dim_t: 256 5 | hop_length: 1024 6 | n_fft: 8192 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | model: 11 | act: gelu 12 | bottleneck_factor: 4 13 | growth: 128 14 | norm: InstanceNorm 15 | num_blocks_per_scale: 2 16 | num_channels: 128 17 | num_scales: 5 18 | num_subbands: 4 19 | scale: 20 | - 2 21 | - 2 22 | training: 23 | batch_size: 6 24 | grad_clip: 0 25 | instruments: 26 | - Vocals 27 | - Instrumental 28 | lr: 1.0e-05 29 | patience: 2 30 | reduce_factor: 0.95 31 | target_instrument: null 32 | num_epochs: 1000 33 | num_steps: 1000 34 | augmentation: 1 35 | augmentation_type: simple1 36 | augmentation_mix: true 37 | q: 0.95 38 | coarse_loss_clip: true 39 | ema_momentum: 0.999 40 | inference: 41 | batch_size: 1 42 | dim_t: 256 43 | num_overlap: 8 -------------------------------------------------------------------------------- /filelists/download_lists/dev_vr_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | VR Arch Model Pack v5: SP Models 4 | VR Arch Model Pack v5: HP2 Models 5 | VR Arch Model Pack v4: Main Models 6 | VR Arch Single Model v5: 1_HP-UVR 7 | VR Arch Single Model v5: 2_HP-UVR 8 | VR Arch Single Model v5: 3_HP-Vocal-UVR 9 | VR Arch Single Model v5: 4_HP-Vocal-UVR 10 | VR Arch Single Model v5: 5_HP-Karaoke-UVR 11 | VR Arch Single Model v5: 6_HP-Karaoke-UVR 12 | VR Arch Single Model v5: 7_HP2-UVR 13 | VR Arch Single Model v5: 8_HP2-UVR 14 | VR Arch Single Model v5: 9_HP2-UVR 15 | VR Arch Single Model v5: 10_SP-UVR-2B-32000-1 16 | VR Arch Single Model v5: 11_SP-UVR-2B-32000-2 17 | VR Arch Single Model v5: 12_SP-UVR-3B-44100 18 | VR Arch Single Model v5: 13_SP-UVR-4B-44100-1 19 | VR Arch Single Model v5: 14_SP-UVR-4B-44100-2 20 | VR Arch Single Model v5: 15_SP-UVR-MID-44100-1 21 | VR Arch Single Model v5: 16_SP-UVR-MID-44100-2 22 | VR Arch Single Model v4: MGM_HIGHEND_v4 23 | VR Arch Single Model v4: MGM_LOWEND_A_v4 24 | VR Arch Single Model v4: MGM_LOWEND_B_v4 25 | VR Arch Single Model v4: MGM_MAIN_v4 -------------------------------------------------------------------------------- /filelists/download_lists/gen_vr_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | VR Arch Model Pack v5: SP Models 4 | VR Arch Model Pack v5: HP2 Models 5 | VR Arch Model Pack v4: Main Models 6 | VR Arch Single Model v5: 1_HP-UVR 7 | VR Arch Single Model v5: 2_HP-UVR 8 | VR Arch Single Model v5: 3_HP-Vocal-UVR 9 | VR Arch Single Model v5: 4_HP-Vocal-UVR 10 | VR Arch Single Model v5: 5_HP-Karaoke-UVR 11 | VR Arch Single Model v5: 6_HP-Karaoke-UVR 12 | VR Arch Single Model v5: 7_HP2-UVR 13 | VR Arch Single Model v5: 8_HP2-UVR 14 | VR Arch Single Model v5: 9_HP2-UVR 15 | VR Arch Single Model v5: 10_SP-UVR-2B-32000-1 16 | VR Arch Single Model v5: 11_SP-UVR-2B-32000-2 17 | VR Arch Single Model v5: 12_SP-UVR-3B-44100 18 | VR Arch Single Model v5: 13_SP-UVR-4B-44100-1 19 | VR Arch Single Model v5: 14_SP-UVR-4B-44100-2 20 | VR Arch Single Model v5: 15_SP-UVR-MID-44100-1 21 | VR Arch Single Model v5: 16_SP-UVR-MID-44100-2 22 | VR Arch Single Model v4: MGM_HIGHEND_v4 23 | VR Arch Single Model v4: MGM_LOWEND_A_v4 24 | VR Arch Single Model v4: MGM_LOWEND_B_v4 25 | VR Arch Single Model v4: MGM_MAIN_v4 -------------------------------------------------------------------------------- /filelists/download_lists/vip_vr_download_list.txt: -------------------------------------------------------------------------------- 1 | No Model Selected 2 | No Model Selected 3 | VR Arch Model Pack v5: SP Models 4 | VR Arch Model Pack v5: HP2 Models 5 | VR Arch Model Pack v4: Main Models 6 | VR Arch Single Model v5: 1_HP-UVR 7 | VR Arch Single Model v5: 2_HP-UVR 8 | VR Arch Single Model v5: 3_HP-Vocal-UVR 9 | VR Arch Single Model v5: 4_HP-Vocal-UVR 10 | VR Arch Single Model v5: 5_HP-Karaoke-UVR 11 | VR Arch Single Model v5: 6_HP-Karaoke-UVR 12 | VR Arch Single Model v5: 7_HP2-UVR 13 | VR Arch Single Model v5: 8_HP2-UVR 14 | VR Arch Single Model v5: 9_HP2-UVR 15 | VR Arch Single Model v5: 10_SP-UVR-2B-32000-1 16 | VR Arch Single Model v5: 11_SP-UVR-2B-32000-2 17 | VR Arch Single Model v5: 12_SP-UVR-3B-44100 18 | VR Arch Single Model v5: 13_SP-UVR-4B-44100-1 19 | VR Arch Single Model v5: 14_SP-UVR-4B-44100-2 20 | VR Arch Single Model v5: 15_SP-UVR-MID-44100-1 21 | VR Arch Single Model v5: 16_SP-UVR-MID-44100-2 22 | VR Arch Single Model v4: MGM_HIGHEND_v4 23 | VR Arch Single Model v4: MGM_LOWEND_A_v4 24 | VR Arch Single Model v4: MGM_LOWEND_B_v4 25 | VR Arch Single Model v4: MGM_MAIN_v4 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_melbandroformer_inst.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 3 | dim_f: 1024 4 | dim_t: 1101 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.000 10 | 11 | model: 12 | dim: 384 13 | depth: 6 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | num_bands: 60 19 | dim_head: 64 20 | heads: 8 21 | attn_dropout: 0 22 | ff_dropout: 0 23 | flash_attn: True 24 | dim_freqs_in: 1025 25 | sample_rate: 44100 # needed for mel filter bank from librosa 26 | stft_n_fft: 2048 27 | stft_hop_length: 441 28 | stft_win_length: 2048 29 | stft_normalized: False 30 | mask_estimator_depth: 2 31 | multi_stft_resolution_loss_weight: 1.0 32 | multi_stft_resolutions_window_sizes: !!python/tuple 33 | - 4096 34 | - 2048 35 | - 1024 36 | - 512 37 | - 256 38 | multi_stft_hop_size: 147 39 | multi_stft_normalized: False 40 | 41 | training: 42 | instruments: 43 | - Instrumental 44 | - Vocals 45 | target_instrument: Instrumental 46 | use_amp: True 47 | 48 | inference: 49 | batch_size: 1 50 | dim_t: 1101 51 | num_overlap: 2 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_mdx23c_similarity.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 130560 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 512 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | act: gelu 13 | bottleneck_factor: 4 14 | growth: 128 15 | norm: InstanceNorm 16 | num_blocks_per_scale: 2 17 | num_channels: 128 18 | num_scales: 5 19 | num_subbands: 4 20 | scale: 21 | - 2 22 | - 2 23 | 24 | training: 25 | batch_size: 2 26 | gradient_accumulation_steps: 3 27 | grad_clip: 0 28 | instruments: 29 | - Similarity 30 | - Difference 31 | lr: 1.0 32 | patience: 15 33 | reduce_factor: 0.95 34 | target_instrument: Similarity 35 | num_epochs: 1000 36 | num_steps: 2235 37 | q: 0.95 38 | coarse_loss_clip: true 39 | ema_momentum: 0.999 40 | optimizer: prodigy 41 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 42 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 43 | 44 | inference: 45 | batch_size: 8 46 | dim_t: 256 47 | num_overlap: 8 48 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_melbandroformer_inst_v2.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 3 | dim_f: 1024 4 | dim_t: 1101 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.000 10 | 11 | model: 12 | dim: 384 13 | depth: 12 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | num_bands: 60 19 | dim_head: 64 20 | heads: 8 21 | attn_dropout: 0 22 | ff_dropout: 0 23 | flash_attn: True 24 | dim_freqs_in: 1025 25 | sample_rate: 44100 # needed for mel filter bank from librosa 26 | stft_n_fft: 2048 27 | stft_hop_length: 441 28 | stft_win_length: 2048 29 | stft_normalized: False 30 | mask_estimator_depth: 3 31 | multi_stft_resolution_loss_weight: 1.0 32 | multi_stft_resolutions_window_sizes: !!python/tuple 33 | - 4096 34 | - 2048 35 | - 1024 36 | - 512 37 | - 256 38 | multi_stft_hop_size: 147 39 | multi_stft_normalized: False 40 | 41 | training: 42 | instruments: 43 | - Instrumental 44 | - Vocals 45 | target_instrument: Instrumental 46 | use_amp: True 47 | 48 | inference: 49 | batch_size: 1 50 | dim_t: 1101 51 | num_overlap: 2 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_melbandroformer_instvoc_duality.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.000 10 | 11 | model: 12 | dim: 384 13 | depth: 6 14 | stereo: true 15 | num_stems: 2 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | num_bands: 60 19 | dim_head: 64 20 | heads: 8 21 | attn_dropout: 0 22 | ff_dropout: 0 23 | flash_attn: True 24 | dim_freqs_in: 1025 25 | sample_rate: 44100 # needed for mel filter bank from librosa 26 | stft_n_fft: 2048 27 | stft_hop_length: 441 28 | stft_win_length: 2048 29 | stft_normalized: False 30 | mask_estimator_depth: 2 31 | multi_stft_resolution_loss_weight: 1.0 32 | multi_stft_resolutions_window_sizes: !!python/tuple 33 | - 4096 34 | - 2048 35 | - 1024 36 | - 512 37 | - 256 38 | multi_stft_hop_size: 147 39 | multi_stft_normalized: False 40 | 41 | training: 42 | instruments: 43 | - Vocals 44 | - Instrumental 45 | target_instrument: null 46 | use_amp: True 47 | 48 | inference: 49 | batch_size: 1 50 | dim_t: 1101 51 | num_overlap: 2 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_vocals_mel_band_roformer_kim.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 352800 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | dim: 384 13 | depth: 6 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | num_bands: 60 19 | dim_head: 64 20 | heads: 8 21 | attn_dropout: 0 22 | ff_dropout: 0 23 | flash_attn: True 24 | dim_freqs_in: 1025 25 | sample_rate: 44100 # needed for mel filter bank from librosa 26 | stft_n_fft: 2048 27 | stft_hop_length: 441 28 | stft_win_length: 2048 29 | stft_normalized: False 30 | mask_estimator_depth: 2 31 | multi_stft_resolution_loss_weight: 1.0 32 | multi_stft_resolutions_window_sizes: !!python/tuple 33 | - 4096 34 | - 2048 35 | - 1024 36 | - 512 37 | - 256 38 | multi_stft_hop_size: 147 39 | multi_stft_normalized: False 40 | 41 | training: 42 | instruments: 43 | - Vocals 44 | - Instrumental 45 | target_instrument: Vocals 46 | 47 | inference: 48 | batch_size: 1 49 | dim_t: 1101 50 | num_overlap: 1 51 | chunk_size: 352800 -------------------------------------------------------------------------------- /demucs_model_data/model_name_mapper.json: -------------------------------------------------------------------------------- 1 | { 2 | "tasnet.th": "v1 | Tasnet", 3 | "tasnet_extra.th": "v1 | Tasnet_extra", 4 | "demucs.th": "v1 | Demucs", 5 | "demucs_extra.th": "v1 | Demucs_extra", 6 | "light.th": "v1 | Light", 7 | "light_extra.th": "v1 | Light_extra", 8 | "tasnet.th.gz": "v1 | Tasnet.gz", 9 | "tasnet_extra.th.gz": "v1 | Tasnet_extra.gz", 10 | "demucs.th.gz": "v1 | Demucs_extra.gz", 11 | "light.th.gz": "v1 | Light.gz", 12 | "light_extra.th.gz": "v1 | Light_extra.gz", 13 | "tasnet-beb46fac.th": "v2 | Tasnet", 14 | "tasnet_extra-df3777b2.th": "v2 | Tasnet_extra", 15 | "demucs48_hq-28a1282c.th": "v2 | Demucs48_hq", 16 | "demucs-e07c671f.th": "v2 | Demucs", 17 | "demucs_extra-3646af93.th": "v2 | Demucs_extra", 18 | "demucs_unittest-09ebc15f.th": "v2 | Demucs_unittest", 19 | "mdx.yaml": "v3 | mdx", 20 | "mdx_extra.yaml": "v3 | mdx_extra", 21 | "mdx_extra_q.yaml": "v3 | mdx_extra_q", 22 | "mdx_q.yaml": "v3 | mdx_q", 23 | "repro_mdx_a.yaml": "v3 | repro_mdx_a", 24 | "repro_mdx_a_hybrid_only.yaml": "v3 | repro_mdx_a_hybrid", 25 | "repro_mdx_a_time_only.yaml": "v3 | repro_mdx_a_time", 26 | "UVR_Demucs_Model_1.yaml": "v3 | UVR_Model_1", 27 | "UVR_Demucs_Model_2.yaml": "v3 | UVR_Model_2", 28 | "UVR_Demucs_Model_Bag.yaml": "v3 | UVR_Model_Bag", 29 | "hdemucs_mmi.yaml": "v4 | hdemucs_mmi", 30 | "htdemucs.yaml": "v4 | htdemucs", 31 | "htdemucs_ft.yaml": "v4 | htdemucs_ft", 32 | "htdemucs_6s.yaml": "v4 | htdemucs_6s", 33 | "UVR_Demucs_Model_ht.yaml": "v4 | UVR_Model_ht" 34 | } -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_musdb18_scnet.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 # 44100 * 11 3 | num_channels: 2 4 | sample_rate: 44100 5 | min_mean_abs: 0.000 6 | 7 | model: 8 | sources: 9 | - drums 10 | - bass 11 | - other 12 | - vocals 13 | audio_channels: 2 14 | dims: 15 | - 4 16 | - 32 17 | - 64 18 | - 128 19 | nfft: 4096 20 | hop_size: 1024 21 | win_size: 4096 22 | normalized: True 23 | band_SR: 24 | - 0.175 25 | - 0.392 26 | - 0.433 27 | band_stride: 28 | - 1 29 | - 4 30 | - 16 31 | band_kernel: 32 | - 3 33 | - 4 34 | - 16 35 | conv_depths: 36 | - 3 37 | - 2 38 | - 1 39 | compress: 4 40 | conv_kernel: 3 41 | num_dplayer: 6 42 | expand: 1 43 | 44 | training: 45 | batch_size: 10 46 | gradient_accumulation_steps: 1 47 | grad_clip: 0 48 | instruments: 49 | - Drums 50 | - Bass 51 | - Other 52 | - Vocals 53 | lr: 5.0e-04 54 | patience: 2 55 | reduce_factor: 0.95 56 | target_instrument: null 57 | num_epochs: 1000 58 | num_steps: 1000 59 | q: 0.95 60 | coarse_loss_clip: true 61 | ema_momentum: 0.999 62 | optimizer: adam 63 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 64 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 65 | 66 | augmentations: 67 | enable: true # enable or disable all augmentations (to fast disable if needed) 68 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 69 | loudness_min: 0.5 70 | loudness_max: 1.5 71 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 72 | mixup_probs: 73 | !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 74 | - 0.2 75 | - 0.02 76 | mixup_loudness_min: 0.5 77 | mixup_loudness_max: 1.5 78 | 79 | inference: 80 | batch_size: 8 81 | dim_t: 256 82 | num_overlap: 4 83 | normalize: true 84 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_mel_band_roformer_karaoke.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 352800 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 000 10 | 11 | model: 12 | dim: 384 13 | depth: 6 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | num_bands: 60 19 | dim_head: 64 20 | heads: 8 21 | attn_dropout: 0 22 | ff_dropout: 0 23 | flash_attn: true 24 | dim_freqs_in: 1025 25 | sample_rate: 44100 # needed for mel filter bank from librosa 26 | stft_n_fft: 2048 27 | stft_hop_length: 441 28 | stft_win_length: 2048 29 | stft_normalized: false 30 | mask_estimator_depth: 2 31 | multi_stft_resolution_loss_weight: 1.0 32 | multi_stft_resolutions_window_sizes: !!python/tuple 33 | - 4096 34 | - 2048 35 | - 1024 36 | - 512 37 | - 256 38 | multi_stft_hop_size: 147 39 | multi_stft_normalized: false 40 | 41 | training: 42 | batch_size: 4 43 | gradient_accumulation_steps: 1 44 | grad_clip: 0 45 | instruments: 46 | - Vocals 47 | - Instrumental 48 | lr: 1.0e-05 49 | patience: 2 50 | reduce_factor: 0.95 51 | target_instrument: Vocals 52 | num_epochs: 1000 53 | num_steps: 2000 54 | augmentation: false # enable augmentations by audiomentations and pedalboard 55 | augmentation_type: 56 | use_mp3_compress: false # Deprecated 57 | augmentation_mix: false # Mix several stems of the same type with some probability 58 | augmentation_loudness: false # randomly change loudness of each stem 59 | augmentation_loudness_type: 1 # Type 1 or 2 60 | augmentation_loudness_min: 0 61 | augmentation_loudness_max: 0 62 | q: 0.95 63 | coarse_loss_clip: false 64 | ema_momentum: 0.999 65 | optimizer: adam 66 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 67 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 68 | inference: 69 | batch_size: 1 70 | dim_t: 1101 71 | num_overlap: 4 72 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_mel_band_roformer_ep_3005_sdr_11.4360.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 352800 3 | dim_f: 1024 4 | dim_t: 801 # don't work (use in model) 5 | hop_length: 441 # don't work (use in model) 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | dim: 384 13 | depth: 12 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | num_bands: 60 19 | dim_head: 64 20 | heads: 8 21 | attn_dropout: 0.1 22 | ff_dropout: 0.1 23 | flash_attn: True 24 | dim_freqs_in: 1025 25 | sample_rate: 44100 # needed for mel filter bank from librosa 26 | stft_n_fft: 2048 27 | stft_hop_length: 441 28 | stft_win_length: 2048 29 | stft_normalized: False 30 | mask_estimator_depth: 2 31 | multi_stft_resolution_loss_weight: 1.0 32 | multi_stft_resolutions_window_sizes: !!python/tuple 33 | - 4096 34 | - 2048 35 | - 1024 36 | - 512 37 | - 256 38 | multi_stft_hop_size: 147 39 | multi_stft_normalized: False 40 | 41 | training: 42 | batch_size: 9 43 | gradient_accumulation_steps: 8 44 | grad_clip: 0 45 | instruments: 46 | - Vocals 47 | - Instrumental 48 | lr: 4.0e-05 49 | patience: 2 50 | reduce_factor: 0.95 51 | target_instrument: Vocals 52 | num_epochs: 1000 53 | num_steps: 1000 54 | augmentation: false # enable augmentations by audiomentations and pedalboard 55 | augmentation_type: simple1 56 | use_mp3_compress: false # Deprecated 57 | augmentation_mix: true # Mix several stems of the same type with some probability 58 | augmentation_loudness: true # randomly change loudness of each stem 59 | augmentation_loudness_type: 1 # Type 1 or 2 60 | augmentation_loudness_min: 0.5 61 | augmentation_loudness_max: 1.5 62 | q: 0.95 63 | coarse_loss_clip: true 64 | ema_momentum: 0.999 65 | optimizer: adam 66 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 67 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 68 | 69 | inference: 70 | batch_size: 1 71 | dim_t: 801 72 | num_overlap: 4 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_musdb18_scnet_large.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 # 44100 * 11 3 | num_channels: 2 4 | sample_rate: 44100 5 | min_mean_abs: 0.000 6 | 7 | model: 8 | sources: 9 | - drums 10 | - bass 11 | - other 12 | - vocals 13 | audio_channels: 2 14 | dims: 15 | - 4 16 | - 64 17 | - 128 18 | - 256 19 | nfft: 4096 20 | hop_size: 1024 21 | win_size: 4096 22 | normalized: True 23 | band_SR: 24 | - 0.225 25 | - 0.372 26 | - 0.403 27 | band_stride: 28 | - 1 29 | - 4 30 | - 16 31 | band_kernel: 32 | - 3 33 | - 4 34 | - 16 35 | conv_depths: 36 | - 3 37 | - 2 38 | - 1 39 | compress: 4 40 | conv_kernel: 3 41 | num_dplayer: 6 42 | expand: 1 43 | 44 | training: 45 | batch_size: 6 46 | gradient_accumulation_steps: 1 47 | grad_clip: 0 48 | instruments: 49 | - Drums 50 | - Bass 51 | - Other 52 | - Vocals 53 | # lr: 1.0e-04 54 | lr: 1.0 55 | patience: 2 56 | reduce_factor: 0.95 57 | target_instrument: null 58 | num_epochs: 1000 59 | num_steps: 1000 60 | q: 0.95 61 | coarse_loss_clip: true 62 | ema_momentum: 0.999 63 | optimizer: prodigy 64 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 65 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 66 | 67 | augmentations: 68 | enable: true # enable or disable all augmentations (to fast disable if needed) 69 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 70 | loudness_min: 0.5 71 | loudness_max: 1.5 72 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 73 | mixup_probs: 74 | !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 75 | - 0.2 76 | - 0.02 77 | mixup_loudness_min: 0.5 78 | mixup_loudness_max: 1.5 79 | all: 80 | channel_shuffle: 0.5 # Set 0 or lower to disable 81 | random_inverse: 0.1 # inverse track (better lower probability) 82 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 83 | 84 | inference: 85 | batch_size: 8 86 | dim_t: 256 87 | num_overlap: 4 88 | normalize: false 89 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_musdb18_scnet_large_starrytong.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 # 44100 * 11 3 | num_channels: 2 4 | sample_rate: 44100 5 | min_mean_abs: 0.000 6 | 7 | model: 8 | sources: 9 | - drums 10 | - bass 11 | - other 12 | - vocals 13 | audio_channels: 2 14 | dims: 15 | - 4 16 | - 64 17 | - 128 18 | - 256 19 | nfft: 4096 20 | hop_size: 1024 21 | win_size: 4096 22 | normalized: True 23 | band_SR: 24 | - 0.225 25 | - 0.372 26 | - 0.403 27 | band_stride: 28 | - 1 29 | - 4 30 | - 16 31 | band_kernel: 32 | - 3 33 | - 4 34 | - 16 35 | conv_depths: 36 | - 3 37 | - 2 38 | - 1 39 | compress: 4 40 | conv_kernel: 3 41 | num_dplayer: 6 42 | expand: 1 43 | 44 | training: 45 | batch_size: 6 46 | gradient_accumulation_steps: 1 47 | grad_clip: 0 48 | instruments: 49 | - Drums 50 | - Bass 51 | - Other 52 | - Vocals 53 | # lr: 1.0e-04 54 | lr: 1.0 55 | patience: 2 56 | reduce_factor: 0.95 57 | target_instrument: null 58 | num_epochs: 1000 59 | num_steps: 1000 60 | q: 0.95 61 | coarse_loss_clip: true 62 | ema_momentum: 0.999 63 | optimizer: prodigy 64 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 65 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 66 | 67 | augmentations: 68 | enable: true # enable or disable all augmentations (to fast disable if needed) 69 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 70 | loudness_min: 0.5 71 | loudness_max: 1.5 72 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 73 | mixup_probs: 74 | !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 75 | - 0.2 76 | - 0.02 77 | mixup_loudness_min: 0.5 78 | mixup_loudness_max: 1.5 79 | all: 80 | channel_shuffle: 0.5 # Set 0 or lower to disable 81 | random_inverse: 0.1 # inverse track (better lower probability) 82 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 83 | 84 | inference: 85 | batch_size: 8 86 | dim_t: 256 87 | num_overlap: 4 88 | normalize: true 89 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_dnr_bandit_v2_mus64.yaml: -------------------------------------------------------------------------------- 1 | cls: Bandit 2 | 3 | audio: 4 | chunk_size: 384000 5 | num_channels: 2 6 | sample_rate: 48000 7 | min_mean_abs: 0.000 8 | 9 | kwargs: 10 | in_channels: 1 11 | stems: ['speech', 'music', 'sfx'] 12 | band_type: musical 13 | n_bands: 64 14 | normalize_channel_independently: false 15 | treat_channel_as_feature: true 16 | n_sqm_modules: 8 17 | emb_dim: 128 18 | rnn_dim: 256 19 | bidirectional: true 20 | rnn_type: "GRU" 21 | mlp_dim: 512 22 | hidden_activation: "Tanh" 23 | hidden_activation_kwargs: 24 | complex_mask: true 25 | use_freq_weights: true 26 | n_fft: 2048 27 | win_length: 2048 28 | hop_length: 512 29 | window_fn: "hann_window" 30 | wkwargs: 31 | power: 32 | center: true 33 | normalized: true 34 | pad_mode: "reflect" 35 | onesided: true 36 | 37 | training: 38 | batch_size: 4 39 | gradient_accumulation_steps: 4 40 | grad_clip: 0 41 | instruments: 42 | - Speech 43 | - Music 44 | - Sfx 45 | lr: 9.0e-05 46 | patience: 2 47 | reduce_factor: 0.95 48 | target_instrument: 49 | num_epochs: 1000 50 | num_steps: 1000 51 | q: 0.95 52 | coarse_loss_clip: true 53 | ema_momentum: 0.999 54 | optimizer: adam 55 | other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental 56 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 57 | 58 | augmentations: 59 | enable: true # enable or disable all augmentations (to fast disable if needed) 60 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 61 | loudness_min: 0.5 62 | loudness_max: 1.5 63 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 64 | mixup_probs: !!python/tuple 65 | # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 66 | - 0.2 67 | - 0.02 68 | mixup_loudness_min: 0.5 69 | mixup_loudness_max: 1.5 70 | all: 71 | channel_shuffle: 0.5 # Set 0 or lower to disable 72 | random_inverse: 0.1 # inverse track (better lower probability) 73 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 74 | 75 | inference: 76 | batch_size: 8 77 | dim_t: 256 78 | num_overlap: 4 79 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_dnr_bandit_bsrnn_multi_mus64.yaml: -------------------------------------------------------------------------------- 1 | name: "MultiMaskMultiSourceBandSplitRNN" 2 | audio: 3 | chunk_size: 264600 4 | num_channels: 2 5 | sample_rate: 44100 6 | min_mean_abs: 0.001 7 | 8 | model: 9 | in_channel: 1 10 | stems: ['speech', 'music', 'effects'] 11 | band_specs: "musical" 12 | n_bands: 64 13 | fs: 44100 14 | require_no_overlap: false 15 | require_no_gap: true 16 | normalize_channel_independently: false 17 | treat_channel_as_feature: true 18 | n_sqm_modules: 8 19 | emb_dim: 128 20 | rnn_dim: 256 21 | bidirectional: true 22 | rnn_type: "GRU" 23 | mlp_dim: 512 24 | hidden_activation: "Tanh" 25 | hidden_activation_kwargs: null 26 | complex_mask: true 27 | n_fft: 2048 28 | win_length: 2048 29 | hop_length: 512 30 | window_fn: "hann_window" 31 | wkwargs: null 32 | power: null 33 | center: true 34 | normalized: true 35 | pad_mode: "constant" 36 | onesided: true 37 | 38 | training: 39 | batch_size: 4 40 | gradient_accumulation_steps: 4 41 | grad_clip: 0 42 | instruments: 43 | - Speech 44 | - Music 45 | - Effects 46 | lr: 9.0e-05 47 | patience: 2 48 | reduce_factor: 0.95 49 | target_instrument: null 50 | num_epochs: 1000 51 | num_steps: 1000 52 | q: 0.95 53 | coarse_loss_clip: true 54 | ema_momentum: 0.999 55 | optimizer: adam 56 | other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental 57 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 58 | 59 | augmentations: 60 | enable: true # enable or disable all augmentations (to fast disable if needed) 61 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 62 | loudness_min: 0.5 63 | loudness_max: 1.5 64 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 65 | mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 66 | - 0.2 67 | - 0.02 68 | mixup_loudness_min: 0.5 69 | mixup_loudness_max: 1.5 70 | all: 71 | channel_shuffle: 0.5 # Set 0 or lower to disable 72 | random_inverse: 0.1 # inverse track (better lower probability) 73 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 74 | 75 | inference: 76 | batch_size: 1 77 | dim_t: 256 78 | num_overlap: 4 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/BS_Inst_EXP_VRL.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 #352800 #485100 3 | dim_f: 1024 4 | dim_t: 801 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.000 10 | 11 | model: 12 | dim: 384 13 | depth: 12 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | freqs_per_bands: !!python/tuple 19 | - 2 20 | - 2 21 | - 2 22 | - 2 23 | - 2 24 | - 2 25 | - 2 26 | - 2 27 | - 2 28 | - 2 29 | - 2 30 | - 2 31 | - 2 32 | - 2 33 | - 2 34 | - 2 35 | - 2 36 | - 2 37 | - 2 38 | - 2 39 | - 2 40 | - 2 41 | - 2 42 | - 2 43 | - 4 44 | - 4 45 | - 4 46 | - 4 47 | - 4 48 | - 4 49 | - 4 50 | - 4 51 | - 4 52 | - 4 53 | - 4 54 | - 4 55 | - 12 56 | - 12 57 | - 12 58 | - 12 59 | - 12 60 | - 12 61 | - 12 62 | - 12 63 | - 24 64 | - 24 65 | - 24 66 | - 24 67 | - 24 68 | - 24 69 | - 24 70 | - 24 71 | - 48 72 | - 48 73 | - 48 74 | - 48 75 | - 48 76 | - 48 77 | - 48 78 | - 48 79 | - 128 80 | - 129 81 | dim_head: 64 82 | heads: 8 83 | attn_dropout: 0 84 | ff_dropout: 0 85 | flash_attn: true 86 | dim_freqs_in: 1025 87 | stft_n_fft: 2048 88 | stft_hop_length: 441 89 | stft_win_length: 2048 90 | stft_normalized: false 91 | mask_estimator_depth: 2 92 | multi_stft_resolution_loss_weight: 1.0 93 | multi_stft_resolutions_window_sizes: !!python/tuple 94 | - 4096 95 | - 2048 96 | - 1024 97 | - 512 98 | - 256 99 | multi_stft_hop_size: 147 100 | multi_stft_normalized: False 101 | training: 102 | batch_size: 1 103 | gradient_accumulation_steps: 1 104 | grad_clip: 0 105 | instruments: 106 | - Vocals 107 | - Instrumental 108 | lr: 1.0e-04 109 | patience: 2 110 | reduce_factor: 0.95 111 | target_instrument: Instrumental 112 | num_epochs: 1 113 | num_steps: 1000 114 | q: 0.95 115 | coarse_loss_clip: true 116 | ema_momentum: 0.999 117 | optimizer: adamw 118 | other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental 119 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 120 | 121 | inference: 122 | batch_size: 1 123 | dim_t: 1101 124 | num_overlap: 2 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 130560 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 512 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | act: gelu 13 | bottleneck_factor: 4 14 | growth: 128 15 | norm: InstanceNorm 16 | num_blocks_per_scale: 2 17 | num_channels: 128 18 | num_scales: 5 19 | num_subbands: 4 20 | scale: 21 | - 2 22 | - 2 23 | 24 | training: 25 | batch_size: 12 26 | gradient_accumulation_steps: 1 27 | grad_clip: 0 28 | instruments: 29 | - Kick 30 | - Snare 31 | - Toms 32 | - Hh 33 | - Ride 34 | - Crash 35 | lr: 9.0e-05 36 | patience: 30 37 | reduce_factor: 0.95 38 | target_instrument: null 39 | num_epochs: 1000 40 | num_steps: 1268 41 | q: 0.95 42 | coarse_loss_clip: true 43 | ema_momentum: 0.999 44 | optimizer: adam 45 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 46 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 47 | 48 | augmentations: 49 | enable: true # enable or disable all augmentations (to fast disable if needed) 50 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 51 | loudness_min: 0.5 52 | loudness_max: 1.5 53 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 54 | mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 55 | - 0.2 56 | - 0.02 57 | mixup_loudness_min: 0.5 58 | mixup_loudness_max: 1.5 59 | 60 | # apply mp3 compression to mixture only (emulate downloading mp3 from internet) 61 | mp3_compression_on_mixture: 0.0 62 | mp3_compression_on_mixture_bitrate_min: 32 63 | mp3_compression_on_mixture_bitrate_max: 320 64 | mp3_compression_on_mixture_backend: "lameenc" 65 | 66 | all: 67 | channel_shuffle: 0.5 # Set 0 or lower to disable 68 | random_inverse: 0.01 # inverse track (better lower probability) 69 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 70 | mp3_compression: 0.0 71 | mp3_compression_min_bitrate: 32 72 | mp3_compression_max_bitrate: 320 73 | mp3_compression_backend: "lameenc" 74 | pitch_shift: 0.1 75 | pitch_shift_min_semitones: -3 76 | pitch_shift_max_semitones: 3 77 | seven_band_parametric_eq: 0.5 78 | seven_band_parametric_eq_min_gain_db: -6 79 | seven_band_parametric_eq_max_gain_db: 6 80 | tanh_distortion: 0.2 81 | tanh_distortion_min: 0.1 82 | tanh_distortion_max: 0.5 83 | 84 | inference: 85 | batch_size: 1 86 | dim_t: 256 87 | num_overlap: 4 -------------------------------------------------------------------------------- /mdx_model_data/model_name_mapper.json: -------------------------------------------------------------------------------- 1 | { 2 | "UVR_MDXNET_1_9703": "UVR-MDX-NET 1", 3 | "UVR_MDXNET_2_9682": "UVR-MDX-NET 2", 4 | "UVR_MDXNET_3_9662": "UVR-MDX-NET 3", 5 | "UVR_MDXNET_KARA": "UVR-MDX-NET Karaoke", 6 | "UVR_MDXNET_Main": "UVR-MDX-NET Main", 7 | "UVR-MDX-NET-Inst_1": "UVR-MDX-NET Inst 1", 8 | "UVR-MDX-NET-Inst_2": "UVR-MDX-NET Inst 2", 9 | "UVR-MDX-NET-Inst_3": "UVR-MDX-NET Inst 3", 10 | "UVR-MDX-NET-Inst_4": "UVR-MDX-NET Inst 4", 11 | "UVR-MDX-NET-Inst_Main": "UVR-MDX-NET Inst Main", 12 | "UVR-MDX-NET-Inst_Main_2": "UVR-MDX-NET Inst Main 2", 13 | "UVR-MDX-NET-Inst_HQ_1": "UVR-MDX-NET Inst HQ 1", 14 | "UVR-MDX-NET-Inst_HQ_2": "UVR-MDX-NET Inst HQ 2", 15 | "UVR-MDX-NET-Inst_HQ_3": "UVR-MDX-NET Inst HQ 3", 16 | "UVR-MDX-NET-Inst_HQ_4": "UVR-MDX-NET Inst HQ 4", 17 | "UVR-MDX-NET-Inst_HQ_5": "UVR-MDX-NET Inst HQ 5", 18 | "UVR-MDX-NET_Crowd_HQ_1": "UVR-MDX-NET Crowd HQ 1", 19 | "UVR_MDXNET_KARA_2": "UVR-MDX-NET Karaoke 2", 20 | "Kim_Vocal_1": "Kim Vocal 1", 21 | "Kim_Vocal_2": "Kim Vocal 2", 22 | "Kim_Inst": "Kim Inst", 23 | "MDX23C-8KFFT-InstVoc_HQ.ckpt": "MDX23C-InstVoc HQ", 24 | "MDX23C-8KFFT-InstVoc_HQ_2.ckpt": "MDX23C-InstVoc HQ 2", 25 | "MDX23C_D1581.ckpt": "MDX23C-InstVoc D1581", 26 | "Reverb_HQ_By_FoxJoy": "Reverb HQ", 27 | "model_bs_roformer_ep_317_sdr_12.9755.ckpt": "BS-Roformer-Viperx-1297", 28 | "model_bs_roformer_ep_368_sdr_12.9628.ckpt": "BS-Roformer-Viperx-1296", 29 | "model_bs_roformer_ep_937_sdr_10.5309.ckpt": "BS-Roformer-Viperx-1053", 30 | "model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt": "Mel-Roformer-Viperx-1143", 31 | "melband_roformer_inst_v1.ckpt": "MB-Roformer-Inst-v1", 32 | "melband_roformer_inst_v2.ckpt": "MB-Roformer-Inst-v2", 33 | "inst_v1e.ckpt": "MB-Roformer-Inst-v1-E", 34 | "melband_roformer_instvoc_duality_v1.ckpt": "MB-Roformer-InstVoc-Duality-v1", 35 | "melband_roformer_instvox_duality_v2.ckpt": "MB-Roformer-InstVoc-Duality-v2", 36 | "MelBandRoformer.ckpt": "MB-Roformer-Kim", 37 | "BS_Inst_EXP_VRL.ckpt": "BS-Ro-Inst-EXP-Unwa", 38 | "mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt": "MB-Ro-Kara-Aufr33-Viperx", 39 | "deverb_bs_roformer_8_256dim_8depth.ckpt": "BS-Ro-Dereverb-Anvuew", 40 | "model_bandit_plus_dnr_sdr_11.47.ckpt": "Cinematic-Bandit-Plus", 41 | "checkpoint-multi_fixed.ckpt": "Cinematic-Bandit-Multi", 42 | "scnet_checkpoint_musdb18.ckpt": "4S-SCNet-Starrytong", 43 | "SCNet-large_starrytong_fixed.ckpt": "4S-SCNet-Large-Starrytong", 44 | "model_scnet_sdr_9.3244.ckpt": "4S-SCNet-Large", 45 | "aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.ckpt": "DrumSep-Aufr33-Jarredou", 46 | "model_mdx23c_ep_271_l1_freq_72.2383.ckpt": "Phantom-Mid-Wesleyr36", 47 | "model_scnet_ep_54_sdr_9.8051.ckpt": "4S-SCNet-XL-ZFTurbo" 48 | } 49 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_bs_roformer_ep_317_sdr_12.9755.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 352800 3 | dim_f: 1024 4 | dim_t: 801 # don't work (use in model) 5 | hop_length: 441 # don't work (use in model) 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | dim: 512 13 | depth: 12 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | freqs_per_bands: !!python/tuple 19 | - 2 20 | - 2 21 | - 2 22 | - 2 23 | - 2 24 | - 2 25 | - 2 26 | - 2 27 | - 2 28 | - 2 29 | - 2 30 | - 2 31 | - 2 32 | - 2 33 | - 2 34 | - 2 35 | - 2 36 | - 2 37 | - 2 38 | - 2 39 | - 2 40 | - 2 41 | - 2 42 | - 2 43 | - 4 44 | - 4 45 | - 4 46 | - 4 47 | - 4 48 | - 4 49 | - 4 50 | - 4 51 | - 4 52 | - 4 53 | - 4 54 | - 4 55 | - 12 56 | - 12 57 | - 12 58 | - 12 59 | - 12 60 | - 12 61 | - 12 62 | - 12 63 | - 24 64 | - 24 65 | - 24 66 | - 24 67 | - 24 68 | - 24 69 | - 24 70 | - 24 71 | - 48 72 | - 48 73 | - 48 74 | - 48 75 | - 48 76 | - 48 77 | - 48 78 | - 48 79 | - 128 80 | - 129 81 | dim_head: 64 82 | heads: 8 83 | attn_dropout: 0.1 84 | ff_dropout: 0.1 85 | flash_attn: true 86 | dim_freqs_in: 1025 87 | stft_n_fft: 2048 88 | stft_hop_length: 441 89 | stft_win_length: 2048 90 | stft_normalized: false 91 | mask_estimator_depth: 2 92 | multi_stft_resolution_loss_weight: 1.0 93 | multi_stft_resolutions_window_sizes: !!python/tuple 94 | - 4096 95 | - 2048 96 | - 1024 97 | - 512 98 | - 256 99 | multi_stft_hop_size: 147 100 | multi_stft_normalized: False 101 | 102 | training: 103 | batch_size: 16 104 | gradient_accumulation_steps: 1 105 | grad_clip: 0 106 | instruments: 107 | - Vocals 108 | - Instrumental 109 | lr: 5.0e-05 110 | patience: 2 111 | reduce_factor: 0.95 112 | target_instrument: Vocals 113 | num_epochs: 1000 114 | num_steps: 1000 115 | augmentation: false # enable augmentations by audiomentations and pedalboard 116 | augmentation_type: simple1 117 | use_mp3_compress: false # Deprecated 118 | augmentation_mix: true # Mix several stems of the same type with some probability 119 | augmentation_loudness: true # randomly change loudness of each stem 120 | augmentation_loudness_type: 1 # Type 1 or 2 121 | augmentation_loudness_min: 0.5 122 | augmentation_loudness_max: 1.5 123 | q: 0.95 124 | coarse_loss_clip: true 125 | ema_momentum: 0.999 126 | optimizer: adam 127 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 128 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 129 | 130 | inference: 131 | batch_size: 1 132 | dim_t: 801 133 | num_overlap: 4 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_bs_roformer_ep_368_sdr_12.9628.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 352800 3 | dim_f: 1024 4 | dim_t: 801 # don't work (use in model) 5 | hop_length: 441 # don't work (use in model) 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | dim: 512 13 | depth: 12 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | freqs_per_bands: !!python/tuple 19 | - 2 20 | - 2 21 | - 2 22 | - 2 23 | - 2 24 | - 2 25 | - 2 26 | - 2 27 | - 2 28 | - 2 29 | - 2 30 | - 2 31 | - 2 32 | - 2 33 | - 2 34 | - 2 35 | - 2 36 | - 2 37 | - 2 38 | - 2 39 | - 2 40 | - 2 41 | - 2 42 | - 2 43 | - 4 44 | - 4 45 | - 4 46 | - 4 47 | - 4 48 | - 4 49 | - 4 50 | - 4 51 | - 4 52 | - 4 53 | - 4 54 | - 4 55 | - 12 56 | - 12 57 | - 12 58 | - 12 59 | - 12 60 | - 12 61 | - 12 62 | - 12 63 | - 24 64 | - 24 65 | - 24 66 | - 24 67 | - 24 68 | - 24 69 | - 24 70 | - 24 71 | - 48 72 | - 48 73 | - 48 74 | - 48 75 | - 48 76 | - 48 77 | - 48 78 | - 48 79 | - 128 80 | - 129 81 | dim_head: 64 82 | heads: 8 83 | attn_dropout: 0.1 84 | ff_dropout: 0.1 85 | flash_attn: true 86 | dim_freqs_in: 1025 87 | stft_n_fft: 2048 88 | stft_hop_length: 441 89 | stft_win_length: 2048 90 | stft_normalized: false 91 | mask_estimator_depth: 2 92 | multi_stft_resolution_loss_weight: 1.0 93 | multi_stft_resolutions_window_sizes: !!python/tuple 94 | - 4096 95 | - 2048 96 | - 1024 97 | - 512 98 | - 256 99 | multi_stft_hop_size: 147 100 | multi_stft_normalized: False 101 | 102 | training: 103 | batch_size: 16 104 | gradient_accumulation_steps: 1 105 | grad_clip: 0 106 | instruments: 107 | - Vocals 108 | - Instrumental 109 | lr: 5.0e-05 110 | patience: 2 111 | reduce_factor: 0.95 112 | target_instrument: Vocals 113 | num_epochs: 1000 114 | num_steps: 1000 115 | augmentation: false # enable augmentations by audiomentations and pedalboard 116 | augmentation_type: simple1 117 | use_mp3_compress: false # Deprecated 118 | augmentation_mix: true # Mix several stems of the same type with some probability 119 | augmentation_loudness: true # randomly change loudness of each stem 120 | augmentation_loudness_type: 1 # Type 1 or 2 121 | augmentation_loudness_min: 0.5 122 | augmentation_loudness_max: 1.5 123 | q: 0.95 124 | coarse_loss_clip: true 125 | ema_momentum: 0.999 126 | optimizer: adam 127 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 128 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 129 | 130 | inference: 131 | batch_size: 1 132 | dim_t: 801 133 | num_overlap: 4 134 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_mel_band_roformer_similarity.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 264600 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 000 10 | 11 | model: 12 | dim: 384 13 | depth: 6 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | num_bands: 60 19 | dim_head: 64 20 | heads: 8 21 | attn_dropout: 0 22 | ff_dropout: 0 23 | flash_attn: True 24 | dim_freqs_in: 1025 25 | sample_rate: 44100 # needed for mel filter bank from librosa 26 | stft_n_fft: 2048 27 | stft_hop_length: 441 28 | stft_win_length: 2048 29 | stft_normalized: False 30 | mask_estimator_depth: 2 31 | multi_stft_resolution_loss_weight: 1.0 32 | multi_stft_resolutions_window_sizes: !!python/tuple 33 | - 4096 34 | - 2048 35 | - 1024 36 | - 512 37 | - 256 38 | multi_stft_hop_size: 147 39 | multi_stft_normalized: False 40 | mlp_expansion_factor: 1 # Probably too big (requires a lot of memory for weights) 41 | use_torch_checkpoint: False # it allows to greatly reduce GPU memory consumption during training (not fully tested) 42 | skip_connection: True # Enable skip connection between transformer blocks - can solve problem with gradients and probably faster training 43 | 44 | training: 45 | batch_size: 15 46 | gradient_accumulation_steps: 1 47 | grad_clip: 0 48 | instruments: 49 | - Similarity 50 | - Difference 51 | lr: 1.0 52 | patience: 5 53 | reduce_factor: 0.95 54 | target_instrument: Similarity 55 | num_epochs: 1000 56 | num_steps: 1057 57 | q: 0.95 58 | coarse_loss_clip: true 59 | ema_momentum: 0.999 60 | optimizer: prodigy 61 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 62 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 63 | 64 | augmentations: 65 | enable: true # enable or disable all augmentations (to fast disable if needed) 66 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 67 | loudness_min: 0.5 68 | loudness_max: 1.5 69 | all: 70 | channel_shuffle: 0.5 # Set 0 or lower to disable 71 | random_inverse: 0.05 # inverse track (better lower probability) 72 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 73 | 74 | # pedalboard pitch shift block 75 | pedalboard_pitch_shift: 0.01 76 | pedalboard_pitch_shift_semitones_min: -7 77 | pedalboard_pitch_shift_semitones_max: 7 78 | 79 | # pedalboard resample block 80 | pedalboard_resample: 0.001 81 | pedalboard_resample_target_sample_rate_min: 4000 82 | pedalboard_resample_target_sample_rate_max: 44100 83 | 84 | mp3_compression: 0.01 85 | mp3_compression_min_bitrate: 32 86 | mp3_compression_max_bitrate: 320 87 | mp3_compression_backend: "lameenc" 88 | 89 | inference: 90 | batch_size: 2 91 | dim_t: 256 92 | num_overlap: 1 93 | 94 | lora: 95 | r: 8 96 | lora_alpha: 16. #alpha / rank > 1 97 | lora_dropout: 0.05 98 | merge_weights: True 99 | fan_in_fan_out: False -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/deverb_bs_roformer_8_256dim_8depth.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 352768 3 | dim_f: 1024 4 | dim_t: 801 5 | hop_length: 441 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | dim: 256 13 | depth: 8 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | linear_transformer_depth: 0 19 | freqs_per_bands: !!python/tuple 20 | - 2 21 | - 2 22 | - 2 23 | - 2 24 | - 2 25 | - 2 26 | - 2 27 | - 2 28 | - 2 29 | - 2 30 | - 2 31 | - 2 32 | - 2 33 | - 2 34 | - 2 35 | - 2 36 | - 2 37 | - 2 38 | - 2 39 | - 2 40 | - 2 41 | - 2 42 | - 2 43 | - 2 44 | - 4 45 | - 4 46 | - 4 47 | - 4 48 | - 4 49 | - 4 50 | - 4 51 | - 4 52 | - 4 53 | - 4 54 | - 4 55 | - 4 56 | - 12 57 | - 12 58 | - 12 59 | - 12 60 | - 12 61 | - 12 62 | - 12 63 | - 12 64 | - 24 65 | - 24 66 | - 24 67 | - 24 68 | - 24 69 | - 24 70 | - 24 71 | - 24 72 | - 48 73 | - 48 74 | - 48 75 | - 48 76 | - 48 77 | - 48 78 | - 48 79 | - 48 80 | - 128 81 | - 129 82 | dim_head: 64 83 | heads: 8 84 | attn_dropout: 0.1 85 | ff_dropout: 0.1 86 | flash_attn: true 87 | dim_freqs_in: 1025 88 | stft_n_fft: 2048 89 | stft_hop_length: 512 90 | stft_win_length: 2048 91 | stft_normalized: false 92 | mask_estimator_depth: 2 93 | multi_stft_resolution_loss_weight: 1.0 94 | multi_stft_resolutions_window_sizes: !!python/tuple 95 | - 4096 96 | - 2048 97 | - 1024 98 | - 512 99 | - 256 100 | multi_stft_hop_size: 147 101 | multi_stft_normalized: False 102 | 103 | training: 104 | batch_size: 1 105 | gradient_accumulation_steps: 1 106 | grad_clip: 0 107 | instruments: 108 | - No Reverb 109 | - Reverb 110 | lr: 5.0e-05 111 | patience: 2 112 | reduce_factor: 0.95 113 | target_instrument: No Reverb 114 | num_epochs: 1000 115 | num_steps: 7600 116 | q: 0.95 117 | coarse_loss_clip: true 118 | ema_momentum: 0.999 119 | optimizer: adam 120 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 121 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 122 | 123 | augmentations: 124 | enable: true # enable or disable all augmentations (to fast disable if needed) 125 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 126 | loudness_min: 0.5 127 | loudness_max: 1.5 128 | mixup: false # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 129 | mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 130 | - 0.2 131 | - 0.02 132 | mixup_loudness_min: 0.5 133 | mixup_loudness_max: 1.5 134 | 135 | inference: 136 | batch_size: 1 137 | dim_t: 801 138 | num_overlap: 4 -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/model_bs_roformer_ep_937_sdr_10.5309.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 131584 3 | dim_f: 1024 4 | dim_t: 256 5 | hop_length: 512 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | dim: 384 13 | depth: 12 14 | stereo: true 15 | num_stems: 1 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | linear_transformer_depth: 0 19 | freqs_per_bands: !!python/tuple 20 | - 2 21 | - 2 22 | - 2 23 | - 2 24 | - 2 25 | - 2 26 | - 2 27 | - 2 28 | - 2 29 | - 2 30 | - 2 31 | - 2 32 | - 2 33 | - 2 34 | - 2 35 | - 2 36 | - 2 37 | - 2 38 | - 2 39 | - 2 40 | - 2 41 | - 2 42 | - 2 43 | - 2 44 | - 4 45 | - 4 46 | - 4 47 | - 4 48 | - 4 49 | - 4 50 | - 4 51 | - 4 52 | - 4 53 | - 4 54 | - 4 55 | - 4 56 | - 12 57 | - 12 58 | - 12 59 | - 12 60 | - 12 61 | - 12 62 | - 12 63 | - 12 64 | - 24 65 | - 24 66 | - 24 67 | - 24 68 | - 24 69 | - 24 70 | - 24 71 | - 24 72 | - 48 73 | - 48 74 | - 48 75 | - 48 76 | - 48 77 | - 48 78 | - 48 79 | - 48 80 | - 128 81 | - 129 82 | dim_head: 64 83 | heads: 8 84 | attn_dropout: 0.1 85 | ff_dropout: 0.1 86 | flash_attn: true 87 | dim_freqs_in: 1025 88 | stft_n_fft: 2048 89 | stft_hop_length: 512 90 | stft_win_length: 2048 91 | stft_normalized: false 92 | mask_estimator_depth: 2 93 | multi_stft_resolution_loss_weight: 1.0 94 | multi_stft_resolutions_window_sizes: !!python/tuple 95 | - 4096 96 | - 2048 97 | - 1024 98 | - 512 99 | - 256 100 | multi_stft_hop_size: 147 101 | multi_stft_normalized: False 102 | 103 | training: 104 | batch_size: 4 105 | gradient_accumulation_steps: 1 106 | grad_clip: 0 107 | instruments: 108 | - No Drum-Bass 109 | - Drum-Bass 110 | lr: 5.0e-05 111 | patience: 2 112 | reduce_factor: 0.95 113 | target_instrument: No Drum-Bass 114 | num_epochs: 1000 115 | num_steps: 1000 116 | q: 0.95 117 | coarse_loss_clip: true 118 | ema_momentum: 0.999 119 | optimizer: adam 120 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 121 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 122 | 123 | augmentations: 124 | enable: true # enable or disable all augmentations (to fast disable if needed) 125 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 126 | loudness_min: 0.5 127 | loudness_max: 1.5 128 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 129 | mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 130 | - 0.2 131 | - 0.02 132 | mixup_loudness_min: 0.5 133 | mixup_loudness_max: 1.5 134 | 135 | inference: 136 | batch_size: 1 137 | dim_t: 512 138 | num_overlap: 4 -------------------------------------------------------------------------------- /filelists/download_list.json: -------------------------------------------------------------------------------- 1 | { 2 | "vr_download_list": ["No Model Selected", 3 | "VR Arch Model Pack v5: SP Models", 4 | "VR Arch Model Pack v5: HP2 Models", 5 | "VR Arch Model Pack v4: Main Models", 6 | "VR Arch Single Model v5: 1_HP-UVR", 7 | "VR Arch Single Model v5: 2_HP-UVR", 8 | "VR Arch Single Model v5: 3_HP-Vocal-UVR", 9 | "VR Arch Single Model v5: 4_HP-Vocal-UVR", 10 | "VR Arch Single Model v5: 5_HP-Karaoke-UVR", 11 | "VR Arch Single Model v5: 6_HP-Karaoke-UVR", 12 | "VR Arch Single Model v5: 7_HP2-UVR", 13 | "VR Arch Single Model v5: 8_HP2-UVR", 14 | "VR Arch Single Model v5: 9_HP2-UVR", 15 | "VR Arch Single Model v5: 10_SP-UVR-2B-32000-1", 16 | "VR Arch Single Model v5: 11_SP-UVR-2B-32000-2", 17 | "VR Arch Single Model v5: 12_SP-UVR-3B-44100", 18 | "VR Arch Single Model v5: 13_SP-UVR-4B-44100-1", 19 | "VR Arch Single Model v5: 14_SP-UVR-4B-44100-2", 20 | "VR Arch Single Model v5: 15_SP-UVR-MID-44100-1", 21 | "VR Arch Single Model v5: 16_SP-UVR-MID-44100-2", 22 | "VR Arch Single Model v4: MGM_HIGHEND_v4", 23 | "VR Arch Single Model v4: MGM_LOWEND_A_v4", 24 | "VR Arch Single Model v4: MGM_LOWEND_B_v4", 25 | "VR Arch Single Model v4: MGM_MAIN_v4"], 26 | 27 | "mdx_download_list": ["No Model Selected", 28 | "MDX-Net Model: UVR_MDXNET_Main", 29 | "MDX-Net Model: UVR_MDXNET_1_9703", 30 | "MDX-Net Model: UVR_MDXNET_2_9682", 31 | "MDX-Net Model: UVR_MDXNET_3_9662", 32 | "MDX-Net Model: UVR_MDXNET_9482", 33 | "MDX-Net Model: UVR_MDXNET_KARA", 34 | "MDX-Net Model: UVR-MDXNET_KARA_2", 35 | "MDX-Net Model: UVR-MDX-NET-Inst_HQ_1", 36 | "MDX-Net Model VIP: UVR-MDX-NET_Main_340", 37 | "MDX-Net Model VIP: UVR-MDX-NET_Main_390", 38 | "MDX-Net Model VIP: UVR-MDX-NET_Main_406", 39 | "MDX-Net Model VIP: UVR-MDX-NET_Main_427", 40 | "MDX-Net Model VIP: UVR-MDX-NET_Main_438", 41 | "MDX-Net Model VIP: UVR-MDX-NET_Inst_82_beta", 42 | "MDX-Net Model VIP: UVR-MDX-NET_Inst_90_beta", 43 | "MDX-Net Model VIP: UVR-MDX-NET_Inst_187_beta"], 44 | 45 | "demucs_download_list": ["No Model Selected", 46 | "Demucs v3: UVR Model", 47 | "Demucs v3: mdx", 48 | "Demucs v3: mdx_q", 49 | "Demucs v3: mdx_extra", 50 | "Demucs v3: mdx_extra_q", 51 | "Demucs v2: demucs", 52 | "Demucs v2: demucs_extra", 53 | "Demucs v2: demucs48_hq", 54 | "Demucs v2: tasnet", 55 | "Demucs v2: tasnet_extra", 56 | "Demucs v2: demucs_unittest", 57 | "Demucs v1: demucs", 58 | "Demucs v1: demucs_extra", 59 | "Demucs v1: light", 60 | "Demucs v1: light_extra", 61 | "Demucs v1: tasnet", 62 | "Demucs v1: tasnet_extra"] 63 | } 64 | 65 | -------------------------------------------------------------------------------- /filelists/download_lists/download_links.json: -------------------------------------------------------------------------------- 1 | { 2 | "Demucs_v3_mdx_url_1": "https://dl.fbaipublicfiles.com/demucs/mdx_final/0d19c1c6-0f06f20e.th", 3 | "Demucs_v3_mdx_url_2": "https://dl.fbaipublicfiles.com/demucs/mdx_final/7ecf8ec1-70f50cc9.th", 4 | "Demucs_v3_mdx_url_3": "https://dl.fbaipublicfiles.com/demucs/mdx_final/c511e2ab-fe698775.th", 5 | "Demucs_v3_mdx_url_4": "https://dl.fbaipublicfiles.com/demucs/mdx_final/7d865c68-3d5dd56b.th", 6 | "Demucs_v3_mdx_url_5": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx.yaml", 7 | "Demucs_v3_mdx_q_url_1": "https://dl.fbaipublicfiles.com/demucs/mdx_final/6b9c2ca1-3fd82607.th", 8 | "Demucs_v3_mdx_q_url_2": "https://dl.fbaipublicfiles.com/demucs/mdx_final/b72baf4e-8778635e.th", 9 | "Demucs_v3_mdx_q_url_3": "https://dl.fbaipublicfiles.com/demucs/mdx_final/42e558d4-196e0e1b.th", 10 | "Demucs_v3_mdx_q_url_4": "https://dl.fbaipublicfiles.com/demucs/mdx_final/305bc58f-18378783.th", 11 | "Demucs_v3_mdx_q_url_5": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx_q.yaml", 12 | "Demucs_v3_mdx_extra_url_1": "https://dl.fbaipublicfiles.com/demucs/mdx_final/e51eebcc-c1b80bdd.th", 13 | "Demucs_v3_mdx_extra_url_2": "https://dl.fbaipublicfiles.com/demucs/mdx_final/a1d90b5c-ae9d2452.th", 14 | "Demucs_v3_mdx_extra_url_3": "https://dl.fbaipublicfiles.com/demucs/mdx_final/5d2d6c55-db83574e.th", 15 | "Demucs_v3_mdx_extra_url_4": "https://dl.fbaipublicfiles.com/demucs/mdx_final/cfa93e08-61801ae1.th", 16 | "Demucs_v3_mdx_extra_url_5": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx_extra.yaml", 17 | "Demucs_v3_mdx_extra_q_url_1": "https://dl.fbaipublicfiles.com/demucs/mdx_final/83fc094f-4a16d450.th", 18 | "Demucs_v3_mdx_extra_q_url_2": "https://dl.fbaipublicfiles.com/demucs/mdx_final/464b36d7-e5a9386e.th", 19 | "Demucs_v3_mdx_extra_q_url_3": "https://dl.fbaipublicfiles.com/demucs/mdx_final/14fc6a69-a89dd0ee.th", 20 | "Demucs_v3_mdx_extra_q_url_4": "https://dl.fbaipublicfiles.com/demucs/mdx_final/7fd6ef75-a905dd85.th", 21 | "Demucs_v3_mdx_extra_q_url_5": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx_extra_q.yaml", 22 | "Demucs_v3_UVR_url_1": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/ebf34a2d.th", 23 | "Demucs_v3_UVR_url_2": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/ebf34a2db.th", 24 | "Demucs_v3_UVR_url_3": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/UVR_Demucs_Model_1.yaml", 25 | "Demucs_v3_UVR_url_4": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/UVR_Demucs_Model_2.yaml", 26 | "Demucs_v3_UVR_url_5": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/UVR_Demucs_Model_Bag.yaml", 27 | "Demucs_v2_demucs_url_1": "https://dl.fbaipublicfiles.com/demucs/v3.0/demucs-e07c671f.th", 28 | "Demucs_v2_demucs_extra_url_1": "https://dl.fbaipublicfiles.com/demucs/v3.0/demucs_extra-3646af93.th", 29 | "Demucs_v2_demucs48_hq_url_1": "https://dl.fbaipublicfiles.com/demucs/v3.0/demucs48_hq-28a1282c.th", 30 | "Demucs_v2_tasnet_url_1": "https://dl.fbaipublicfiles.com/demucs/v3.0/tasnet-beb46fac.th", 31 | "Demucs_v2_tasnet_extra_url_1": "https://dl.fbaipublicfiles.com/demucs/v3.0/tasnet_extra-df3777b2.th", 32 | "Demucs_v2_demucs_unittest_url_1": "https://dl.fbaipublicfiles.com/demucs/v3.0/demucs_unittest-09ebc15f.th", 33 | "Demucs_v1_demucs_url_1": "https://dl.fbaipublicfiles.com/demucs/v2.0/demucs.th", 34 | "Demucs_v1_demucs_extra_url_1": "https://dl.fbaipublicfiles.com/demucs/v2.0/demucs_extra.th", 35 | "Demucs_v1_light_url_1": "https://dl.fbaipublicfiles.com/demucs/v2.0/light.th", 36 | "Demucs_v1_light_extra_url_1": "https://dl.fbaipublicfiles.com/demucs/v2.0/light_extra.th", 37 | "Demucs_v1_tasnet_url_1": "https://dl.fbaipublicfiles.com/demucs/v2.0/tasnet.th", 38 | "Demucs_v1_tasnet_extra_url_1": "https://dl.fbaipublicfiles.com/demucs/v2.0/tasnet_extra.th", 39 | "model_repo_url_1": "https://github.com/TRvlvr/model_repo/releases/download/model_pack_repo/", 40 | "single_model_repo_url_1": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/", 41 | "app_patch": "https://github.com/TRvlvr/model_repo/releases/download/uvr_update_patches/" 42 | } -------------------------------------------------------------------------------- /vr_model_data/model_data.json: -------------------------------------------------------------------------------- 1 | { 2 | "0d0e6d143046b0eecc41a22e60224582": { 3 | "vr_model_param": "3band_44100_mid", 4 | "primary_stem": "Instrumental" 5 | }, 6 | "18b52f873021a0af556fb4ecd552bb8e": { 7 | "vr_model_param": "2band_32000", 8 | "primary_stem": "Instrumental" 9 | }, 10 | "1fc66027c82b499c7d8f55f79e64cadc": { 11 | "vr_model_param": "2band_32000", 12 | "primary_stem": "Instrumental" 13 | }, 14 | "2aa34fbc01f8e6d2bf509726481e7142": { 15 | "vr_model_param": "4band_44100", 16 | "primary_stem": "No Piano" 17 | }, 18 | "3e18f639b11abea7361db1a4a91c2559": { 19 | "vr_model_param": "4band_44100", 20 | "primary_stem": "Instrumental" 21 | }, 22 | "570b5f50054609a17741369a35007ddd": { 23 | "vr_model_param": "4band_v3", 24 | "primary_stem": "Instrumental" 25 | }, 26 | "5a6e24c1b530f2dab045a522ef89b751": { 27 | "vr_model_param": "1band_sr44100_hl512", 28 | "primary_stem": "Instrumental" 29 | }, 30 | "6b5916069a49be3fe29d4397ecfd73fa": { 31 | "vr_model_param": "3band_44100_msb2", 32 | "primary_stem": "Instrumental" 33 | }, 34 | "74b3bc5fa2b69f29baf7839b858bc679": { 35 | "vr_model_param": "4band_44100", 36 | "primary_stem": "Instrumental" 37 | }, 38 | "827213b316df36b52a1f3d04fec89369": { 39 | "vr_model_param": "4band_44100", 40 | "primary_stem": "Instrumental" 41 | }, 42 | "911d4048eee7223eca4ee0efb7d29256": { 43 | "vr_model_param": "4band_44100", 44 | "primary_stem": "Vocals" 45 | }, 46 | "941f3f7f0b0341f12087aacdfef644b1": { 47 | "vr_model_param": "4band_v2", 48 | "primary_stem": "Instrumental" 49 | }, 50 | "a02827cf69d75781a35c0e8a327f3195": { 51 | "vr_model_param": "1band_sr33075_hl384", 52 | "primary_stem": "Instrumental" 53 | }, 54 | "b165fbff113c959dba5303b74c6484bc": { 55 | "vr_model_param": "3band_44100", 56 | "primary_stem": "Instrumental" 57 | }, 58 | "b5f988cd3e891dca7253bf5f0f3427c7": { 59 | "vr_model_param": "4band_44100", 60 | "primary_stem": "Instrumental" 61 | }, 62 | "b99c35723bc35cb11ed14a4780006a80": { 63 | "vr_model_param": "1band_sr44100_hl1024", 64 | "primary_stem": "Instrumental" 65 | }, 66 | "ba02fd25b71d620eebbdb49e18e4c336": { 67 | "vr_model_param": "3band_44100_mid", 68 | "primary_stem": "Instrumental" 69 | }, 70 | "c4476ef424d8cba65f38d8d04e8514e2": { 71 | "vr_model_param": "3band_44100_msb2", 72 | "primary_stem": "Instrumental" 73 | }, 74 | "da2d37b8be2972e550a409bae08335aa": { 75 | "vr_model_param": "4band_44100", 76 | "primary_stem": "Vocals" 77 | }, 78 | "db57205d3133e39df8e050b435a78c80": { 79 | "vr_model_param": "4band_44100", 80 | "primary_stem": "Instrumental" 81 | }, 82 | "ea83b08e32ec2303456fe50659035f69": { 83 | "vr_model_param": "4band_v3", 84 | "primary_stem": "Instrumental" 85 | }, 86 | "f6ea8473ff86017b5ebd586ccacf156b": { 87 | "vr_model_param": "4band_v2_sn", 88 | "primary_stem": "Instrumental" 89 | }, 90 | "fd297a61eafc9d829033f8b987c39a3d": { 91 | "vr_model_param": "1band_sr32000_hl512", 92 | "primary_stem": "Instrumental" 93 | }, 94 | "0ec76fd9e65f81d8b4fbd13af4826ed8": { 95 | "vr_model_param": "4band_v3", 96 | "primary_stem": "No Woodwinds" 97 | }, 98 | "0fb9249ffe4ffc38d7b16243f394c0ff": { 99 | "vr_model_param": "4band_v3", 100 | "primary_stem": "No Other" 101 | }, 102 | "6857b2972e1754913aad0c9a1678c753": { 103 | "vr_model_param": "4band_v3", 104 | "primary_stem": "No Other", 105 | "nout":48, 106 | "nout_lstm":128 107 | }, 108 | "f200a145434efc7dcf0cd093f517ed52": { 109 | "vr_model_param": "4band_v3", 110 | "primary_stem": "No Other", 111 | "nout":48, 112 | "nout_lstm":128 113 | }, 114 | "44c55d8b5d2e3edea98c2b2bf93071c7": { 115 | "vr_model_param": "4band_v3", 116 | "primary_stem": "Other", 117 | "nout":48, 118 | "nout_lstm":128 119 | }, 120 | "51ea8c43a6928ed3c10ef5cb2707d57b": { 121 | "vr_model_param": "1band_sr44100_hl1024", 122 | "primary_stem": "Other", 123 | "nout":16, 124 | "nout_lstm":128 125 | } 126 | } 127 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_dereverb_mdx23c.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 261120 3 | dim_f: 4096 4 | dim_t: 256 5 | hop_length: 1024 6 | n_fft: 8192 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.001 10 | 11 | model: 12 | act: gelu 13 | bottleneck_factor: 4 14 | growth: 128 15 | norm: InstanceNorm 16 | num_blocks_per_scale: 2 17 | num_channels: 128 18 | num_scales: 5 19 | num_subbands: 4 20 | scale: 21 | - 2 22 | - 2 23 | 24 | training: 25 | batch_size: 2 26 | gradient_accumulation_steps: 1 27 | grad_clip: 0 28 | instruments: 29 | - No Reverb 30 | - Reverb 31 | lr: 1.0e-06 32 | patience: 4 33 | reduce_factor: 0.93 34 | target_instrument: null 35 | num_epochs: 40 36 | num_steps: 1000 37 | q: 0.95 38 | coarse_loss_clip: true 39 | ema_momentum: 0.999 40 | optimizer: adamw 41 | read_metadata_procs: 8 # Number of processes to use during metadata reading for dataset. Can speed up metadata generation 42 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 43 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 44 | 45 | augmentations: 46 | enable: false # enable or disable all augmentations (to fast disable if needed) 47 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 48 | loudness_min: 0.5 49 | loudness_max: 1.5 50 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 51 | mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 52 | - 0.2 53 | - 0.02 54 | mixup_loudness_min: 0.5 55 | mixup_loudness_max: 1.5 56 | 57 | all: 58 | channel_shuffle: 0.5 # Set 0 or lower to disable 59 | random_inverse: 0.05 # inverse track (better lower probability) 60 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 61 | 62 | # pedalboard chorus block 63 | pedalboard_chorus: 0.001 64 | pedalboard_chorus_rate_hz_min: 1.0 65 | pedalboard_chorus_rate_hz_max: 7.0 66 | pedalboard_chorus_depth_min: 0.25 67 | pedalboard_chorus_depth_max: 0.95 68 | pedalboard_chorus_centre_delay_ms_min: 3 69 | pedalboard_chorus_centre_delay_ms_max: 10 70 | pedalboard_chorus_feedback_min: 0.0 71 | pedalboard_chorus_feedback_max: 0.01 72 | pedalboard_chorus_mix_min: 0.1 73 | pedalboard_chorus_mix_max: 0.9 74 | 75 | # pedalboard phazer block 76 | pedalboard_phazer: 0.001 77 | pedalboard_phazer_rate_hz_min: 1.0 78 | pedalboard_phazer_rate_hz_max: 10.0 79 | pedalboard_phazer_depth_min: 0.25 80 | pedalboard_phazer_depth_max: 0.95 81 | pedalboard_phazer_centre_frequency_hz_min: 200 82 | pedalboard_phazer_centre_frequency_hz_max: 12000 83 | pedalboard_phazer_feedback_min: 0.0 84 | pedalboard_phazer_feedback_max: 0.5 85 | pedalboard_phazer_mix_min: 0.1 86 | pedalboard_phazer_mix_max: 0.9 87 | 88 | # pedalboard pitch shift block 89 | pedalboard_pitch_shift: 0.01 90 | pedalboard_pitch_shift_semitones_min: -7 91 | pedalboard_pitch_shift_semitones_max: 7 92 | 93 | # pedalboard resample block 94 | pedalboard_resample: 0.001 95 | pedalboard_resample_target_sample_rate_min: 4000 96 | pedalboard_resample_target_sample_rate_max: 44100 97 | 98 | mp3_compression_min_bitrate: 32 99 | mp3_compression_max_bitrate: 320 100 | mp3_compression_backend: "lameenc" 101 | 102 | dry: 103 | # pedalboard distortion block 104 | pedalboard_distortion: 0.001 105 | pedalboard_distortion_drive_db_min: 1.0 106 | pedalboard_distortion_drive_db_max: 25.0 107 | 108 | tanh_distortion: 0.05 109 | tanh_distortion_min: 0.1 110 | tanh_distortion_max: 0.7 111 | # pedalboard bitcrash block 112 | pedalboard_bitcrash: 0.005 113 | pedalboard_bitcrash_bit_depth_min: 4 114 | pedalboard_bitcrash_bit_depth_max: 16 115 | 116 | seven_band_parametric_eq: 0.24 117 | seven_band_parametric_eq_min_gain_db: -9 118 | seven_band_parametric_eq_max_gain_db: 9 119 | 120 | gaussian_noise: 0.005 121 | gaussian_noise_min_amplitude: 0.001 122 | gaussian_noise_max_amplitude: 0.01 123 | 124 | time_stretch: 0.01 125 | time_stretch_min_rate: 0.8 126 | time_stretch_max_rate: 1.25 127 | other: 128 | seven_band_parametric_eq: 0.24 129 | seven_band_parametric_eq_min_gain_db: -9 130 | seven_band_parametric_eq_max_gain_db: 9 131 | 132 | inference: 133 | batch_size: 2 134 | dim_t: 256 135 | num_overlap: 4 -------------------------------------------------------------------------------- /vr_model_data/model_data_new.json: -------------------------------------------------------------------------------- 1 | { 2 | "0d0e6d143046b0eecc41a22e60224582": { 3 | "vr_model_param": "3band_44100_mid", 4 | "primary_stem": "Instrumental" 5 | }, 6 | "18b52f873021a0af556fb4ecd552bb8e": { 7 | "vr_model_param": "2band_32000", 8 | "primary_stem": "Instrumental" 9 | }, 10 | "1fc66027c82b499c7d8f55f79e64cadc": { 11 | "vr_model_param": "2band_32000", 12 | "primary_stem": "Instrumental" 13 | }, 14 | "2aa34fbc01f8e6d2bf509726481e7142": { 15 | "vr_model_param": "4band_44100", 16 | "primary_stem": "No Piano" 17 | }, 18 | "3e18f639b11abea7361db1a4a91c2559": { 19 | "vr_model_param": "4band_44100", 20 | "primary_stem": "Instrumental" 21 | }, 22 | "570b5f50054609a17741369a35007ddd": { 23 | "vr_model_param": "4band_v3", 24 | "primary_stem": "Instrumental" 25 | }, 26 | "5a6e24c1b530f2dab045a522ef89b751": { 27 | "vr_model_param": "1band_sr44100_hl512", 28 | "primary_stem": "Instrumental" 29 | }, 30 | "6b5916069a49be3fe29d4397ecfd73fa": { 31 | "vr_model_param": "3band_44100_msb2", 32 | "primary_stem": "Instrumental", 33 | "is_karaoke": true 34 | }, 35 | "74b3bc5fa2b69f29baf7839b858bc679": { 36 | "vr_model_param": "4band_44100", 37 | "primary_stem": "Instrumental" 38 | }, 39 | "827213b316df36b52a1f3d04fec89369": { 40 | "vr_model_param": "4band_44100", 41 | "primary_stem": "Instrumental" 42 | }, 43 | "911d4048eee7223eca4ee0efb7d29256": { 44 | "vr_model_param": "4band_44100", 45 | "primary_stem": "Vocals" 46 | }, 47 | "941f3f7f0b0341f12087aacdfef644b1": { 48 | "vr_model_param": "4band_v2", 49 | "primary_stem": "Instrumental" 50 | }, 51 | "a02827cf69d75781a35c0e8a327f3195": { 52 | "vr_model_param": "1band_sr33075_hl384", 53 | "primary_stem": "Instrumental" 54 | }, 55 | "b165fbff113c959dba5303b74c6484bc": { 56 | "vr_model_param": "3band_44100", 57 | "primary_stem": "Instrumental" 58 | }, 59 | "b5f988cd3e891dca7253bf5f0f3427c7": { 60 | "vr_model_param": "4band_44100", 61 | "primary_stem": "Instrumental" 62 | }, 63 | "b99c35723bc35cb11ed14a4780006a80": { 64 | "vr_model_param": "1band_sr44100_hl1024", 65 | "primary_stem": "Instrumental" 66 | }, 67 | "ba02fd25b71d620eebbdb49e18e4c336": { 68 | "vr_model_param": "3band_44100_mid", 69 | "primary_stem": "Instrumental" 70 | }, 71 | "c4476ef424d8cba65f38d8d04e8514e2": { 72 | "vr_model_param": "3band_44100_msb2", 73 | "primary_stem": "Instrumental" 74 | }, 75 | "da2d37b8be2972e550a409bae08335aa": { 76 | "vr_model_param": "4band_44100", 77 | "primary_stem": "Vocals" 78 | }, 79 | "db57205d3133e39df8e050b435a78c80": { 80 | "vr_model_param": "4band_44100", 81 | "primary_stem": "Instrumental" 82 | }, 83 | "ea83b08e32ec2303456fe50659035f69": { 84 | "vr_model_param": "4band_v3", 85 | "primary_stem": "Instrumental" 86 | }, 87 | "f6ea8473ff86017b5ebd586ccacf156b": { 88 | "vr_model_param": "4band_v2_sn", 89 | "primary_stem": "Instrumental", 90 | "is_karaoke": true 91 | }, 92 | "fd297a61eafc9d829033f8b987c39a3d": { 93 | "vr_model_param": "1band_sr32000_hl512", 94 | "primary_stem": "Instrumental" 95 | }, 96 | "0ec76fd9e65f81d8b4fbd13af4826ed8": { 97 | "vr_model_param": "4band_v3", 98 | "primary_stem": "No Woodwinds" 99 | }, 100 | "0fb9249ffe4ffc38d7b16243f394c0ff": { 101 | "vr_model_param": "4band_v3", 102 | "primary_stem": "No Reverb" 103 | }, 104 | "6857b2972e1754913aad0c9a1678c753": { 105 | "vr_model_param": "4band_v3", 106 | "primary_stem": "No Echo", 107 | "nout": 48, 108 | "nout_lstm": 128 109 | }, 110 | "f200a145434efc7dcf0cd093f517ed52": { 111 | "vr_model_param": "4band_v3", 112 | "primary_stem": "No Echo", 113 | "nout": 48, 114 | "nout_lstm": 128 115 | }, 116 | "44c55d8b5d2e3edea98c2b2bf93071c7": { 117 | "vr_model_param": "4band_v3", 118 | "primary_stem": "Noise", 119 | "nout": 48, 120 | "nout_lstm": 128 121 | }, 122 | "51ea8c43a6928ed3c10ef5cb2707d57b": { 123 | "vr_model_param": "1band_sr44100_hl1024", 124 | "primary_stem": "Noise", 125 | "nout": 16, 126 | "nout_lstm": 128 127 | }, 128 | "944950a9c5963a5eb70b445d67b7068a": { 129 | "vr_model_param": "4band_v3_sn", 130 | "primary_stem": "Vocals", 131 | "nout": 64, 132 | "nout_lstm": 128, 133 | "is_karaoke": false, 134 | "is_bv_model": true, 135 | "is_bv_model_rebalanced": 0.9 136 | } 137 | } 138 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_bs_roformer_384_8_2_485100.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 3 | dim_f: 1024 4 | dim_t: 801 # don't work (use in model) 5 | hop_length: 441 # don't work (use in model) 6 | n_fft: 2048 7 | num_channels: 2 8 | sample_rate: 44100 9 | min_mean_abs: 0.000 10 | 11 | model: 12 | dim: 384 13 | depth: 8 14 | stereo: true 15 | num_stems: 4 16 | time_transformer_depth: 1 17 | freq_transformer_depth: 1 18 | linear_transformer_depth: 0 19 | freqs_per_bands: !!python/tuple 20 | - 2 21 | - 2 22 | - 2 23 | - 2 24 | - 2 25 | - 2 26 | - 2 27 | - 2 28 | - 2 29 | - 2 30 | - 2 31 | - 2 32 | - 2 33 | - 2 34 | - 2 35 | - 2 36 | - 2 37 | - 2 38 | - 2 39 | - 2 40 | - 2 41 | - 2 42 | - 2 43 | - 2 44 | - 4 45 | - 4 46 | - 4 47 | - 4 48 | - 4 49 | - 4 50 | - 4 51 | - 4 52 | - 4 53 | - 4 54 | - 4 55 | - 4 56 | - 12 57 | - 12 58 | - 12 59 | - 12 60 | - 12 61 | - 12 62 | - 12 63 | - 12 64 | - 24 65 | - 24 66 | - 24 67 | - 24 68 | - 24 69 | - 24 70 | - 24 71 | - 24 72 | - 48 73 | - 48 74 | - 48 75 | - 48 76 | - 48 77 | - 48 78 | - 48 79 | - 48 80 | - 128 81 | - 129 82 | dim_head: 64 83 | heads: 8 84 | attn_dropout: 0.1 85 | ff_dropout: 0.1 86 | flash_attn: true 87 | dim_freqs_in: 1025 88 | stft_n_fft: 2048 89 | stft_hop_length: 441 90 | stft_win_length: 2048 91 | stft_normalized: false 92 | mask_estimator_depth: 2 93 | multi_stft_resolution_loss_weight: 1.0 94 | multi_stft_resolutions_window_sizes: !!python/tuple 95 | - 4096 96 | - 2048 97 | - 1024 98 | - 512 99 | - 256 100 | multi_stft_hop_size: 147 101 | multi_stft_normalized: False 102 | mlp_expansion_factor: 2 103 | use_torch_checkpoint: False # it allows to greatly reduce GPU memory consumption during training (not fully tested) 104 | skip_connection: False # Enable skip connection between transformer blocks - can solve problem with gradients and probably faster training 105 | 106 | training: 107 | batch_size: 2 108 | gradient_accumulation_steps: 1 109 | grad_clip: 0 110 | instruments: ['Drums', 'Bass', 'Other', 'Vocals'] 111 | patience: 3 112 | reduce_factor: 0.95 113 | target_instrument: null 114 | num_epochs: 1000 115 | num_steps: 1000 116 | augmentation: false # enable augmentations by audiomentations and pedalboard 117 | augmentation_type: simple1 118 | use_mp3_compress: false # Deprecated 119 | augmentation_mix: true # Mix several stems of the same type with some probability 120 | augmentation_loudness: true # randomly change loudness of each stem 121 | augmentation_loudness_type: 1 # Type 1 or 2 122 | augmentation_loudness_min: 0.5 123 | augmentation_loudness_max: 1.5 124 | q: 0.95 125 | coarse_loss_clip: true 126 | ema_momentum: 0.999 127 | # optimizer: prodigy 128 | optimizer: adam 129 | # lr: 1.0 130 | lr: 1.0e-5 131 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 132 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 133 | 134 | augmentations: 135 | enable: true # enable or disable all augmentations (to fast disable if needed) 136 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 137 | loudness_min: 0.5 138 | loudness_max: 1.5 139 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 140 | mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 141 | - 0.2 142 | - 0.02 143 | mixup_loudness_min: 0.5 144 | mixup_loudness_max: 1.5 145 | 146 | all: 147 | channel_shuffle: 0.5 # Set 0 or lower to disable 148 | random_inverse: 0.1 # inverse track (better lower probability) 149 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 150 | 151 | vocals: 152 | pitch_shift: 0.1 153 | pitch_shift_min_semitones: -5 154 | pitch_shift_max_semitones: 5 155 | seven_band_parametric_eq: 0.1 156 | seven_band_parametric_eq_min_gain_db: -9 157 | seven_band_parametric_eq_max_gain_db: 9 158 | tanh_distortion: 0.1 159 | tanh_distortion_min: 0.1 160 | tanh_distortion_max: 0.7 161 | bass: 162 | pitch_shift: 0.1 163 | pitch_shift_min_semitones: -2 164 | pitch_shift_max_semitones: 2 165 | seven_band_parametric_eq: 0.1 166 | seven_band_parametric_eq_min_gain_db: -3 167 | seven_band_parametric_eq_max_gain_db: 6 168 | tanh_distortion: 0.1 169 | tanh_distortion_min: 0.1 170 | tanh_distortion_max: 0.5 171 | drums: 172 | pitch_shift: 0.1 173 | pitch_shift_min_semitones: -5 174 | pitch_shift_max_semitones: 5 175 | seven_band_parametric_eq: 0.1 176 | seven_band_parametric_eq_min_gain_db: -9 177 | seven_band_parametric_eq_max_gain_db: 9 178 | tanh_distortion: 0.1 179 | tanh_distortion_min: 0.1 180 | tanh_distortion_max: 0.6 181 | other: 182 | pitch_shift: 0.1 183 | pitch_shift_min_semitones: -4 184 | pitch_shift_max_semitones: 4 185 | gaussian_noise: 0.1 186 | gaussian_noise_min_amplitude: 0.001 187 | gaussian_noise_max_amplitude: 0.015 188 | time_stretch: 0.1 189 | time_stretch_min_rate: 0.8 190 | time_stretch_max_rate: 1.25 191 | 192 | 193 | inference: 194 | batch_size: 2 195 | dim_t: 1101 196 | num_overlap: 2 -------------------------------------------------------------------------------- /bulletin.txt: -------------------------------------------------------------------------------- 1 | ---------------------------------------------------------------------------------------------- 2 | Join the official Audio Separation Community on Discord! 3 | 4 | Invite Link: https://discord.gg/KJ7jfPa5Qp 5 | ---------------------------------------------------------------------------------------------- 6 | 7 | Most Recent Changes: 8 | 9 | Patch UVR_Patch_10_6_23_4_27: 10 | ~ MPS for MacOS is now compatible with all MDX-Net & VR Arch models! 11 | ~ Fixed memory issue with MDX23C models. 12 | ~ Added the ability to choose GPU device to process tracks. 13 | ~ Fixed a few graphical bugs. 14 | 15 | Patch UVR_Patch_1_15_25_22_30_BETA: 16 | ~ Tools and Functionalities: 17 | ~ Phase Swapper Tool: Applies the phase of the reference audio to the target audio. 18 | ~ Apollo Restore Tool: Restores audio quality by addressing distortions and artifacts 19 | from low-bitrate codecs (e.g., MP3s at 32 kbps and above). 20 | ~ Note: Not yet compatible with DirectML. 21 | ~ Model Enhancements: 22 | ~ Added support for SCnet, Bandit, and the latest Roformer models (available in the Download Center). 23 | ~ Added compatibility for Roformer/MDX23C Karaoke Models with the vocal splitter. 24 | ~ Improved support for secondary model options (unstable with new networks; bugs may occur). 25 | ~ Configuration and Usability: 26 | ~ Introduced a new "Model Installer" for VR Arch, MDX-Net (all networks), and Apollo models. 27 | ~ Significantly enhanced the model configuration menu: 28 | ~ Configure settings for multiple models simultaneously. 29 | ~ Edit YAML configurations directly within the GUI. 30 | ~ Introduced aliasing for models, allowing users to rename models within UVR without changing 31 | file names (aliases must fit within the dropdown for a clean interface). 32 | ~ Improved the "Change Model Settings" menu to auto-populate existing settings, simplifying 33 | reviews and adjustments. 34 | ~ Improved convenience by adding an option in the model menus to access model folders directly. 35 | ~ Resolved silent audio issue for older GPUs by defaulting to Torch's "No Grad" mode instead of 36 | "Inference Mode." Users can switch back via advanced Multi-Network options. 37 | ~ Added the ability to save outputs to the same directory as input. 38 | ~ Interface Improvements: 39 | ~ Ensemble mode model box now includes a horizontal scroller. 40 | ~ Annoying CMD window no longer pops up during ffmpeg and Rubber Band usage. 41 | 42 | Resources & Additional Credits: 43 | 44 | ---------------------------------------------------------------------------------------------- 45 | Name: 46 | ZFTurbo 47 | 48 | Contribution: 49 | ~ Created the weights for the new MDX23C models. 50 | ~ Trained the new MDX23C models. 51 | ~ Maintains an all-in-one command-line training and inference code for multiple SS networks. 52 | 53 | Resources: 54 | ~ These models are available to use online. See link details below: 55 | ~ https://mvsep.com 56 | ~ Separation type -> MDX23C (vocals, instrumental) 57 | ~ Vocal model type -> 8K FFT, Full Band (SDR vocals: 10.17, SDR instrum: 16.48) 58 | ~ Link: https://github.com/ZFTurbo/Music-Source-Separation-Training 59 | ---------------------------------------------------------------------------------------------- 60 | Name: 61 | lucidrains 62 | 63 | Contribution: 64 | ~ BS-RoFormer & MelBand-Roformer Implementation 65 | 66 | Resources: 67 | ~ Link: https://github.com/lucidrains/BS-RoFormer 68 | ---------------------------------------------------------------------------------------------- 69 | Name: 70 | starrytong 71 | 72 | Contribution: 73 | ~ SCNet 74 | 75 | Resources: 76 | ~ Link: https://github.com/starrytong/SCNet 77 | ---------------------------------------------------------------------------------------------- 78 | Name: 79 | Bas Curtiz 80 | 81 | Contribution: 82 | ~ Conducted thorough testing and produced detailed tutorials on SDR evaluation. 83 | ~ Implemented systematic SDR quality assessments. 84 | ~ Authored Google Document detailing the optimal models for each genre. 85 | ~ Authored Google Document capturing UVR frequency cutoffs and time-elapsed comparisons between GPU and CPU performances. 86 | ~ Authored a Google Document consolidating best practices, tips, and tricks. 87 | 88 | Resources: 89 | ~ SDR Per Genre Breakdown 90 | ~ UVR Model Frequency Cutoff Chart 91 | ~ Tips & Tricks 92 | ~ Link: (See "Discord Resources Link" below) 93 | ---------------------------------------------------------------------------------------------- 94 | Name: 95 | deton24 96 | 97 | Contribution: 98 | ~ SDR quality checks. 99 | ~ Authored a Google Document that serves as an all-in-one guide to source separation. 100 | ~ A big thank you to for consistently helping address issues in the official UVR repo. 101 | 102 | Resources: 103 | ~ All-in-One Source Separation Guide 104 | ~ Link: (See "Discord Resources Link" below) 105 | ---------------------------------------------------------------------------------------------- 106 | Name: 107 | dca100fb8 108 | 109 | Contribution: 110 | ~ Testing 111 | ~ Bug reporting 112 | ---------------------------------------------------------------------------------------------- 113 | Name: 114 | becruily & jarredou 115 | 116 | Contribution: 117 | ~ Phase Swapper Tool (available in Roformer Beta) 118 | ~ Suggestions 119 | ---------------------------------------------------------------------------------------------- 120 | Name: 121 | JusperLee 122 | 123 | Contribution: 124 | ~ Apollo Restoration AI Tool (available in Roformer Beta) 125 | ~ Link: https://github.com/JusperLee/Apollo 126 | ---------------------------------------------------------------------------------------------- 127 | Name: 128 | Unwa 129 | 130 | Contribution: 131 | ~ New Roformer Models (available in Roformer Beta) 132 | ---------------------------------------------------------------------------------------------- 133 | 134 | Discord Resources Link: https://discord.com/channels/708579735583588363/1153421553694953482 135 | -------------------------------------------------------------------------------- /mdx_model_data/mdx_c_configs/config_musdb18_scnet_xl.yaml: -------------------------------------------------------------------------------- 1 | audio: 2 | chunk_size: 485100 # 44100 * 11 3 | num_channels: 2 4 | sample_rate: 44100 5 | min_mean_abs: 0.000 6 | 7 | model: 8 | sources: 9 | - drums 10 | - bass 11 | - other 12 | - vocals 13 | audio_channels: 2 14 | dims: 15 | - 4 16 | - 64 17 | - 128 18 | - 256 19 | nfft: 4096 20 | hop_size: 1024 21 | win_size: 4096 22 | normalized: True 23 | band_SR: 24 | - 0.230 25 | - 0.370 26 | - 0.400 27 | band_stride: 28 | - 1 29 | - 4 30 | - 16 31 | band_kernel: 32 | - 3 33 | - 4 34 | - 16 35 | conv_depths: 36 | - 3 37 | - 2 38 | - 1 39 | compress: 4 40 | conv_kernel: 3 41 | num_dplayer: 8 42 | expand: 1 43 | 44 | training: 45 | batch_size: 4 46 | gradient_accumulation_steps: 1 47 | grad_clip: 0 48 | instruments: 49 | - Drums 50 | - Bass 51 | - Other 52 | - Vocals 53 | patience: 2 54 | reduce_factor: 0.95 55 | target_instrument: null 56 | num_epochs: 1000 57 | num_steps: 1000 58 | q: 0.95 59 | coarse_loss_clip: true 60 | ema_momentum: 0.999 61 | # optimizer: prodigy 62 | optimizer: adam 63 | lr: 1.0e-05 64 | # lr: 1.0 65 | normalize: false # perform normalization on input of model (use the same for inference!) 66 | other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental 67 | use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true 68 | 69 | 70 | augmentations: 71 | enable: false # enable or disable all augmentations (to fast disable if needed) 72 | loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max) 73 | loudness_min: 0.5 74 | loudness_max: 1.5 75 | mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3) 76 | mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02) 77 | - 0.2 78 | - 0.02 79 | mixup_loudness_min: 0.5 80 | mixup_loudness_max: 1.5 81 | 82 | # apply mp3 compression to mixture only (emulate downloading mp3 from internet) 83 | mp3_compression_on_mixture: 0.01 84 | mp3_compression_on_mixture_bitrate_min: 32 85 | mp3_compression_on_mixture_bitrate_max: 320 86 | mp3_compression_on_mixture_backend: "lameenc" 87 | 88 | all: 89 | channel_shuffle: 0.5 # Set 0 or lower to disable 90 | random_inverse: 0.1 # inverse track (better lower probability) 91 | random_polarity: 0.5 # polarity change (multiply waveform to -1) 92 | 93 | mp3_compression: 0.01 94 | mp3_compression_min_bitrate: 32 95 | mp3_compression_max_bitrate: 320 96 | mp3_compression_backend: "lameenc" 97 | 98 | # pedalboard reverb block 99 | pedalboard_reverb: 0.01 100 | pedalboard_reverb_room_size_min: 0.1 101 | pedalboard_reverb_room_size_max: 0.9 102 | pedalboard_reverb_damping_min: 0.1 103 | pedalboard_reverb_damping_max: 0.9 104 | pedalboard_reverb_wet_level_min: 0.1 105 | pedalboard_reverb_wet_level_max: 0.9 106 | pedalboard_reverb_dry_level_min: 0.1 107 | pedalboard_reverb_dry_level_max: 0.9 108 | pedalboard_reverb_width_min: 0.9 109 | pedalboard_reverb_width_max: 1.0 110 | 111 | # pedalboard chorus block 112 | pedalboard_chorus: 0.01 113 | pedalboard_chorus_rate_hz_min: 1.0 114 | pedalboard_chorus_rate_hz_max: 7.0 115 | pedalboard_chorus_depth_min: 0.25 116 | pedalboard_chorus_depth_max: 0.95 117 | pedalboard_chorus_centre_delay_ms_min: 3 118 | pedalboard_chorus_centre_delay_ms_max: 10 119 | pedalboard_chorus_feedback_min: 0.0 120 | pedalboard_chorus_feedback_max: 0.5 121 | pedalboard_chorus_mix_min: 0.1 122 | pedalboard_chorus_mix_max: 0.9 123 | 124 | # pedalboard phazer block 125 | pedalboard_phazer: 0.01 126 | pedalboard_phazer_rate_hz_min: 1.0 127 | pedalboard_phazer_rate_hz_max: 10.0 128 | pedalboard_phazer_depth_min: 0.25 129 | pedalboard_phazer_depth_max: 0.95 130 | pedalboard_phazer_centre_frequency_hz_min: 200 131 | pedalboard_phazer_centre_frequency_hz_max: 12000 132 | pedalboard_phazer_feedback_min: 0.0 133 | pedalboard_phazer_feedback_max: 0.5 134 | pedalboard_phazer_mix_min: 0.1 135 | pedalboard_phazer_mix_max: 0.9 136 | 137 | # pedalboard distortion block 138 | pedalboard_distortion: 0.01 139 | pedalboard_distortion_drive_db_min: 1.0 140 | pedalboard_distortion_drive_db_max: 25.0 141 | 142 | # pedalboard pitch shift block 143 | pedalboard_pitch_shift: 0.01 144 | pedalboard_pitch_shift_semitones_min: -7 145 | pedalboard_pitch_shift_semitones_max: 7 146 | 147 | # pedalboard resample block 148 | pedalboard_resample: 0.01 149 | pedalboard_resample_target_sample_rate_min: 4000 150 | pedalboard_resample_target_sample_rate_max: 44100 151 | 152 | # pedalboard bitcrash block 153 | pedalboard_bitcrash: 0.01 154 | pedalboard_bitcrash_bit_depth_min: 4 155 | pedalboard_bitcrash_bit_depth_max: 16 156 | 157 | # pedalboard mp3 compressor block 158 | pedalboard_mp3_compressor: 0.01 159 | pedalboard_mp3_compressor_pedalboard_mp3_compressor_min: 0 160 | pedalboard_mp3_compressor_pedalboard_mp3_compressor_max: 9.999 161 | 162 | vocals: 163 | pitch_shift: 0.1 164 | pitch_shift_min_semitones: -5 165 | pitch_shift_max_semitones: 5 166 | seven_band_parametric_eq: 0.25 167 | seven_band_parametric_eq_min_gain_db: -9 168 | seven_band_parametric_eq_max_gain_db: 9 169 | tanh_distortion: 0.1 170 | tanh_distortion_min: 0.1 171 | tanh_distortion_max: 0.7 172 | bass: 173 | pitch_shift: 0.1 174 | pitch_shift_min_semitones: -2 175 | pitch_shift_max_semitones: 2 176 | seven_band_parametric_eq: 0.25 177 | seven_band_parametric_eq_min_gain_db: -3 178 | seven_band_parametric_eq_max_gain_db: 6 179 | tanh_distortion: 0.2 180 | tanh_distortion_min: 0.1 181 | tanh_distortion_max: 0.5 182 | drums: 183 | pitch_shift: 0.33 184 | pitch_shift_min_semitones: -5 185 | pitch_shift_max_semitones: 5 186 | seven_band_parametric_eq: 0.25 187 | seven_band_parametric_eq_min_gain_db: -9 188 | seven_band_parametric_eq_max_gain_db: 9 189 | tanh_distortion: 0.33 190 | tanh_distortion_min: 0.1 191 | tanh_distortion_max: 0.6 192 | other: 193 | pitch_shift: 0.1 194 | pitch_shift_min_semitones: -4 195 | pitch_shift_max_semitones: 4 196 | gaussian_noise: 0.1 197 | gaussian_noise_min_amplitude: 0.001 198 | gaussian_noise_max_amplitude: 0.015 199 | time_stretch: 0.01 200 | time_stretch_min_rate: 0.8 201 | time_stretch_max_rate: 1.25 202 | 203 | inference: 204 | batch_size: 4 205 | dim_t: 256 206 | num_overlap: 4 207 | normalize: false 208 | -------------------------------------------------------------------------------- /filelists/hashes/mdx_new_hashes.txt: -------------------------------------------------------------------------------- 1 | 0374836ab954ccd5946b29668c36bfdd 2 | e494001f6e38f3ff9f8db07073dbcc38 3 | 1284cfb6ca5cbe68778a392bf92fe448 4 | 927f5993571090980f7042a5087ad7d5 5 | 8a7b42b609383c9bd11c093e357c8d01 6 | d7b9b49bf75c78afad0e88786bd729ae 7 | 8737fb18a216d62ba2fec7948da59721 8 | 432308a1f31d144ba117dc5f87e97809 9 | 39eedabe4309ecbcda1df37a5cdd6adf 10 | fbee5264485e2c4b4003db897dea3528 11 | 443ca4b02bf26bc42d9ef114aa25adc8 12 | 8d700d4589ba30b876114823af40bcea 13 | 52be0e4c18ddfba376081a7edaca5f56 14 | f0fd48dc0422a992e08e18f9cf318678 15 | af21b8645202d0b6d93cb383284ad0e6 16 | c5f39697c5dd372c4fb9656f01c814cc 17 | 3f2bd7da922c4b45ac8923cccce41455 18 | 8c467b5fbce83858b67436e28efa31c3 19 | 16418df565fbaddd8e91ead6693a7418 20 | 06f4c4b9e7cc2c3503bdcb9cfad4298b 21 | 3a28db13d74c27f4ef255e5acb2f66b1 22 | 2c7e0a31f0aa7947865b66a8ccfdf08f 23 | ef878de3d28e6ef376ad35527d86e4dc 24 | 52b4c815669b7a6c1898453f5c42a617 25 | 63c28c788f40af6d49ad8013600149bf 26 | 787c1fa7256250695b14d2c62d57070c 27 | 3eac6076f597da01788946563cc2756d 28 | d3efcccba9417bd0567845958d55bed5 29 | 5d4b6d50847807833b82009be6519364 30 | cd988a4722f06c7fc9798750da9a6216 31 | 5c0953d6f2d6a6ac3c738c0ba04fb518 32 | c488149f2cd37c710da574f3b784e6e3 33 | e46ef7b671b13a9a6bada197d8ccc0cf 34 | a57f5884b67bc0be16759045d9734b7f 35 | 9b60b21391809845bb4435bc7096aabf 36 | 5a4897d7a3afcae86f6948ba9275a49e 37 | d521fcb9b6cb6818710bf1609d1a8182 38 | 3c6420e4e3646d7906d6d1b86d0410bc 39 | a85c8174b2c91e780a67b391650ae264 40 | b5a906653199f49f0e0215e0b22901b4 41 | 16de23223764249902734d64f2a0223f 42 | 2957853f7346c5039fc2f4d1b0f3c65c 43 | a8fb404acc3631cfbb8aacf20f39d65d 44 | f1e62e9e52477dff0c1b92c218bcd7f0 45 | 2067c316fe7a097040f6da35451bde94 46 | b6653ac3158e60561f05933ebe4d6477 47 | 274f631b444ce3ec6fbb71778ca58ae5 48 | 5dc5f89788c7385a99787a15e78cc852 49 | 740e38a99d835f113ffc396e144fbfa8 50 | b21de390242db154b1e6d45b9c44a912 51 | 8c6751c184707c356534a8d4481e2987 52 | 057a0878236e70dfdf8e09fc8e3d9126 53 | 0a15368a0d7b00eb1f49276c316c280f 54 | ae35d179e0395e53867f2b7f32de337e 55 | 87a9c56e36d2cb159ff76929b0edfd3f 56 | c488149f2cd37c710da574f3b784e6e3 57 | 18508ba57b14327516f4f958d7cb5bdd 58 | d2b8a00978bcf61eeb3642ffb2653431 59 | c1cbaeea910a925be045c4dad52e0f95 60 | 72d739c4fa1f0c606f357cc6b4b313b0 61 | 44d6519e1efc6c68d53f82361e382987 62 | 7b63504b3dd9ed7ef5c6ef9fbbb6d857 63 | f0fb53226a97e2d1ed8af46308d0b238 64 | 27065f326f173ee54c38e349a84caed8 65 | 71f2b8871d21ce1ae9b3c16042d3b511 66 | 870a12746e7b7648cc8449c0ea5f8be8 67 | 93bcd06e20b2ae5388da783bf68c7224 68 | 09973b74f4dabb01ecdfed706743f45e 69 | 34c8c8870ed8cac0fbc1dc9d1ae90dec 70 | e3078ba5c104e5f4ec7ff17b23f4bc48 71 | 7a84d9cc7d2a064be2328d5f183e21f8 72 | 49efdbcfcf32bde3b0cdec517fc14f7d 73 | 389c7c5b890a73fec8753a675dd12ac0 74 | 34ec0124d7d734babf76c79ab94c1f5c 75 | 2ebfd30a6f0dcae400bdadf27c138d72 76 | a6520bca33f5d9d47249c9dc72769869 77 | fb95e55c41d7b4609da78f7e189d57c7 78 | 82ea77ce031ff7f388ca61d8022d0783 79 | ca4225e905d87de17c4495af7763f853 80 | 066f3b8bc8e25d949c73ec1995072903 81 | 1e4cccb2b9279c0f3d120e3df42eade5 82 | 7148b2d2a566a500df4046b57d64c921 83 | 4d5b28ed4facc34105c548b4ebe445d3 84 | 545fcdc3f4214d1f19b5fdd21cde38bf 85 | c84cea02dae21a7c94d5cbc0de4cebfc 86 | 19cb138773f3db150366f8ed3e1b3b44 87 | 72f8c3d5486fe653c8bb99519097eb93 88 | 1205327ef4f1b2b12710c4d648b71de2 89 | 6b2a00d20b89c27e9b4185c2cf9e4aa7 90 | eae02d1f9b056ed813f864d30f33834d 91 | 1c3fecce7632cc859b75c7b88ad2afa2 92 | ff62c0bcbcc4f685dd3b7831a0f7c3b7 93 | 6fbc36b6b8c22477ff32dac19e4fca28 94 | 7a205daabf8960bf487b9c0b794251bc 95 | cc1c53adf5c99f2264f5e01dc1082a5b 96 | 37822839f05c3befd0c99b9f4882ab86 97 | ee0712096e63be0afd56a74f4a9e0ea1 98 | c58340ff0f0507240e3a146bdd990cf1 99 | 1a13fd81b213d7163b49db5da00f53c3 100 | b77cf1f489cdde9eb8a9b67b6b59ec68 101 | c488149f2cd37c710da574f3b784e6e3 102 | ae3bb6e6e27b272999c31ef153a3c87a 103 | 299a55c8ede63c7897f018b45cb2d5d2 104 | 679042229a62536cc8edbfc04efd4db6 105 | a8bd219e9c47f19d7a6114e423ad408f 106 | a55dd195a4545ee38d4cf35b1cc2ec63 107 | 583d824859c4312bf9f29e33c9e5bfb9 108 | 4c43c3b27dc8f806a629bf1fed00713f 109 | 3e50a377fe876b78b0372275e4280deb 110 | 0aa28867b9527b9d3039d51b64c539bd 111 | 254ece16803e5c86ab5e848b7ed050f7 112 | 231532acc25316bec842fb9daf8a2433 113 | ff07a7503a0f5242c20d3120e31edaef 114 | f3d967caf9a18cca0464c94af5e29b96 115 | f482c7a3e906bbd5f7f84344de95884e 116 | 47541c9bfc1f64fb27ed7fe0e51d5820 117 | d11dd98a13e6931844d099162e944175 118 | db59cbd3343a3e1c4077e97273947c07 119 | c488149f2cd37c710da574f3b784e6e3 120 | 684895a24ed48e27092604e5ca55147b 121 | f56742ceec2bb09e4a8f6bfebd19e3b2 122 | 0938f3adcf49644ee5952fce8470e1ee 123 | 18c56f68d4a1ca021ef0daffd586e5a1 124 | 2fd39f65bbdfb44ae24952fc55ec828f 125 | 56c8dd32289acfc89ddb1cf1eb2080a1 126 | 49df79ad1f22a1cc51d3fe6581c04368 127 | b39b1edd3defacc1035fedcb9717c13f 128 | 493598ca0cfd5a4e3a308cf2d7b337cf 129 | 027e12756f7ac9d72a0243e57208d640 130 | 2c3920c38cdb3dac251d35f7cad32d76 131 | 7399b3d9512206b26f885cbbbd5db8a6 132 | 857af50fb527a7b187e2038d1f5339fe 133 | 706bd84cee98aa24862c0d84b3ad7d83 134 | 1310c0587c85752e2b2a958cbb8a865b 135 | 08e4bf0e8b3d35897f3165db19e2fe45 136 | cbbdd039f02090f130a774609f546073 137 | 1f98187a1cb50b04fcf9b6483aede1fe 138 | 77c77d58fb898a936f534098c7cedde3 139 | 68e0861a93e8f69d18e06446dabb4bfd 140 | d66fcc3a6869fc9e16e412f7102e7a4b 141 | c488149f2cd37c710da574f3b784e6e3 142 | cbf08ceba8462bc3b63a4b8219b2127f 143 | 1c8c65dccc65a874baf6b946323b9fcc 144 | 29d53240deda5d41501fcf0a766adfce 145 | 9c555f81fba02566811902d04c623d6c 146 | 282ba1496fd4242ce2cf2d90e57fe2df 147 | 5a071be7bdc03e9f10cfabc35256562f 148 | 24154e229b32e53bc9418ec787e17494 149 | e4bb05aef0f088bc085bd70fdf0e23e5 150 | 75a2e9b4a66c0906aa05841a08796f16 151 | 76fcb7ec78d402d0fcbab783e6a5bb08 152 | afcd755eb6fe6fbd63064d62b97d7415 153 | 2f749b5bba3fbdf47b6f1786682b6e17 154 | d7c92cee09b62970b9dec9290507f1ab 155 | 4edc1683c236af337baa583a01120d4c 156 | ab9bc82a525b84ffddb8e3e0d3cfb9d6 157 | 12b4b7b4569816cb499a051203f84163 158 | 7dc1829acd3fc5ed7aee352383464a8f 159 | 77654e582fa565e1878880c2dc7ccc6a 160 | 1af9ca98f02117c715a7d08a93a90d11 161 | 26ee73d5f2cbff2f833e83e3d9d9a970 162 | aa04ea15b9607d920ae5ae0e826e2b96 163 | 602bd5c724ea9d4c2f446c9491ee35f2 164 | 5a5770df2a95203d87f383ea4bac1c13 165 | 5c3aac1983493dca30d0512e32d73aec 166 | 317c5596068ee1d89f1e134f34c41a6f 167 | cb7622696ed1a09922c8bf9e08dab19a 168 | a10993b3fc9e713175e8c15369208e37 169 | 54f94ef6ae99039746b29e8c7b095f42 170 | fcdf005de9869614d418fda6921736b1 171 | 738526a1206737e49ed2e3ed525cef75 172 | 561075aa5e8c15da84a793cc351ff7f1 173 | 6c31403d96f13e0f99cf70caba5dbcf4 174 | d2f6e3956e13abcaa5854061ec66b328 175 | eeb018b28ae4d0aeec0a5644f2784319 176 | 33b6e5e6677d03a5210f04eb9f2b7d25 177 | a93ff7868bbe0707e01f23b1bd420dc9 178 | 3fcc378ca8ff8d2e57e2768393a78f01 179 | 759ca61e56317dc0c1dfbaec891e0b6d 180 | fd5e636fbb4c6eea0383f7803f32649f 181 | 743f50f5512c8b8d8a045c8987e2f490 182 | cc40b9e052b524fa882b812be835e2b1 183 | 2299e5fd3ff04cdac5473479dab4ca12 184 | 80ed2351ed5645b10ee59c49de2fa85e 185 | 72e70ae8fcea406a4175cb8aff365f26 186 | ce7eab5316ddbe8492a911fd6e9360ec 187 | 0a3db22db2ec36d2274be2e6c1a3f281 188 | 7accc6b329e87fd488a8611be2822c31 189 | 9d75768514ae1e9d815d44770c2c7528 190 | 2c099e9ad0ef0ed8fbbe5207d86bf1c3 191 | 1735d7847e15f75103dab33ae7812593 192 | 4ccf7af16a1e132915a53b5c1d0489b4 193 | 9d6dc0eeb89233b2fc2e4cb6b0c03c8d 194 | 9c174a9728ba905330d53404350e5030 195 | b1e90f473873c0de27feadd42f784cde 196 | d96712e0a516217a4b15f21da3e09dee 197 | 9c64543bc5757fd9bd385ad1977d98f6 198 | 6f3c09ff2b603f88f9cb59643bf60d27 199 | 195710ebfdac31abc9a8c1cf70af64c5 200 | dc69356b009931763e60494ed65b091b 201 | 8700c86a88cc28873a3fa38dddeb657d 202 | d2deadd2e486200fad9d7504a6be272b 203 | 94c1f1fcc101819c1b0ea619b1d14a4d 204 | bd1f3fcfb0080ad24fbaf522f46d93d0 205 | 7ab6e91e95dc46c43f6fd453a7fa08d2 206 | b62bf9ecb1504fafcbb2f1dfd3577adb 207 | d79e834a074be79732214c241acbafae 208 | 248fbfb44e4c7b6252c43f6efd57beeb 209 | 9d0a3bf0fbfd3ac5a326da42730c59d8 210 | 0381868fc1424a5a2cbddc0dcd3e03ff 211 | 99fe35974f3b3e44222d3ea922361441 212 | ee649ecf9af62537230d53a1669aded9 213 | 7c603f02ecae615a6e6db193c833049d 214 | 70643a56ccda1e41c853b626fc61b2b7 215 | 7aede03b88b41aed480873dcc1155ff1 216 | f82eb261734ae9506f3a2b0982f5a436 217 | b7e0ea765ce79b16b3360b6f7c20bf3e 218 | e42f1bb671e9007a58a56a0dbcfba96a 219 | 4944c8ab32140b11ea96055b536195bd 220 | 2398160da9da6e05ed4cf41c313ab359 221 | 83640e4eebfa904a335fcce7308f76ee 222 | b79bcd180ab4105bc7d477594366ac32 223 | 9ea57e40b2a085a34432903153b6f553 224 | a55bd0247b2b97299a21ca33ea4153d6 225 | b917bdac8ecdd58d62c662604fe41156 226 | de0e9b8d929f8ea4c6e9fbdbc5702539 227 | a1f86a115d6771f2f49c192187433937 228 | 3c0441d69f6f21890f07b791a2a0f975 229 | df50c0c577db9620d65c461514753cc6 230 | e2c2fdddc294a14e81ab638877746897 231 | 6289fc9313430c398a5a154a4184e643 232 | 45858d3c16515a018a55bdd63a8dcaa0 233 | 094235d47192c91bd2bfeaa2005c4a95 234 | e50ae9b60d3a2527545c2a9c3c840947 235 | 38e807c4d51ea851182e89b2a26823c9 236 | 7b0e3b866a0ad9aedac142b017a46d23 237 | 82f53c138d9ae0442f42357538c2623a 238 | e6dd1e0d8fd1dc6ace7026f8749c1fed 239 | 221c01f90c00e98ceccef860b33ecb76 240 | 1d39503ae9334f6eee559bdd70f8c24f 241 | f4b9da2652eb0dce90a9ea3335cd36c0 242 | d403bb7dcbe901eb8f248e87c03fb7cd 243 | 41e7fab08927a26a7afd6a8830bc2d8c 244 | 539e6c09143a295cea430c7459bbff33 245 | fd83d05f82a4edf4a01c56ce3a8d6e63 246 | 8fead59e6616e753f9f1c27156353947 247 | 61be36cf0a2880d4b38c575b65699b4a 248 | 83232153c59247187570377af0a1d223 249 | dc9777a4cef96dc2f46a5381ba058256 250 | 322d9cd44c707f6b54e55775700ca514 251 | 7587ebafebed7d9bdaa6165db2c43608 252 | 83ddc19beea20010318bce4722d890d5 253 | bb64c8f176f3c4d87ff260be720d66c3 254 | 202c811375f61cd6d5840a40cf2cb4ba 255 | 7b3460f9e8dd28202111ec582e965d55 256 | dd087f5adcd94116225963397ac25889 257 | 5e5865e8d2f48d93066c866aa31c5983 258 | ff2d856e56b5768688a1d1de00c143dc 259 | 90245b98df873843287f68caf9da596b 260 | fb793952993781dbee22336bc6296987 261 | 5107088c9476c07bdd32af1b9d67108e 262 | 969bfa927f27ca1c98c00d3ae589f623 263 | 37969f2b2add6199fb00780899ce8c0d 264 | 122742f2e218d003cc22d108df9c668a 265 | c72c77ff2373bc0e0d9beebf35c0dc07 266 | 43eefd064d333877c59ee7362d044e0c 267 | 28a8a32dd91a2e359f7db21e7c50071c 268 | -------------------------------------------------------------------------------- /filelists/hashes/mdx_new_inst_hashes.txt: -------------------------------------------------------------------------------- 1 | c488149f2cd37c710da574f3b784e6e3 2 | 2223f985aa47e99a0348f987ea2a3db6 3 | 3fc1fa83cebb144dca7d379a3767ac77 4 | dfe5e1f42c42dcc262f2a2e2bc4ca7aa 5 | 69108243963e4ed3fe22fdb37b812fe8 6 | ec3d6dc24c75e06a72fe1a2bd970b7b0 7 | aee23fcb90ef135bbd036f6e1c1ad9f9 8 | 4561b9240c9acaf13eee2bd0186b4df4 9 | da0f43e81eb60b0bdacedd2de4758ee9 10 | 5ee77a84e40bbd66a9d2b08b6a4c8496 11 | 8b0526d02937c08adc95dfd57652c915 12 | 08ff1d3a743eb2377c96b3de793990a0 13 | af292ce84aa6125ab75020f31e183f5b 14 | 7f56ee6b9ee402802c403f348fea58cb 15 | 038bb0d0a9f3c89b5671189384cfdf91 16 | db79054b3ae6c30f655e8ff12d64caa7 17 | b2e16d43ef559782a32874ffdace8b82 18 | c488149f2cd37c710da574f3b784e6e3 19 | b71bb782cad9b8c6ea0a72c6ae69e8b4 20 | 9d478026519f140e14e9c1bb32fcc522 21 | e81c4b46ec685b3ce227f426f884cfe0 22 | e9edcfacbbbbc513734082e1c1f7f6ad 23 | 8d0bb54171a0996f2610be0fdc5743a8 24 | fbe5c4eecc1f3ad4b38364d77a774013 25 | 66209e099302542c627c29bbb6976c59 26 | ee7b7dcda4e4353730cf89afc881c8cb 27 | 0d09ab08de2cf0efe123144589345a33 28 | be2cff51fc6fcae172d30d3f1c142ee6 29 | b53e4cc77f9c47cbc6184cc7158f65ca 30 | c38f6a06977b9bc287c83f1e80ee0d9f 31 | 0e05e776801b7016714015043e97373b 32 | fd39ea4282a92d3cb5f8d502e4c44ffa 33 | c937b7662b6f5cd92ff82fe595f160e7 34 | c0e0e9c44f815c1d0c0737343d702923 35 | c488149f2cd37c710da574f3b784e6e3 36 | 823ef02eadf24f652609959e3a35206e 37 | 674e8851d69bef3e4e1724d21247a8dc 38 | d3543c7b5d214515a7bd55d57b2413a0 39 | eb1179fb56fbcab660d9b69f9ac9cbe7 40 | 0f7f0b21feb6b1b6e843f6047a3af13a 41 | b6f8de9a8316d5bd330a84eb22078ef4 42 | 6dd6104d3ba4b3e9f47fba7d6c84dd9c 43 | 1579df63864bf6ec11f2484cb2cfca7e 44 | 3d2af588b96dc0e84be66804684e7c56 45 | 6e566b37b3cec881ec93cfe415a710ec 46 | 455c272b691c1001aa9b9cad5dfedd20 47 | ec892e0ea6f973d8c15645e621ee8fe1 48 | 4a0b13b03e4db47191f387c2ced82f73 49 | e5d6e895bcbe4ca62ca9cc8808d8da6e 50 | 4a0b13b03e4db47191f387c2ced82f73 51 | e5d6e895bcbe4ca62ca9cc8808d8da6e 52 | 9df9f3bf4c7151fc36fb822d7728f433 53 | 4475c1d3f79482cb2082f1bd13899e1b 54 | 3d3523c8e0ab0a355748f38449331918 55 | 24bb2808feae6efb2aaae9db3778886c 56 | 947e6dd9e4aea2811eb3fb26d4bde615 57 | 5152abd0c6e18db01e765a432645db10 58 | baa0dfd37cb98c4bfe5296ca53b4caa2 59 | 8532c73a728809df2164bd43f82b4eda 60 | e9ad4378ea02e3293938f8efe2566395 61 | 77a84ffbb9dc912d4144becbc0c36861 62 | ba9215fddcc3b688452614622c792d24 63 | d17ff322c16113ad569df69550c18a36 64 | 7392afe7cb4edf525682ef706ccc2590 65 | 221ea4ea1b57be15b1b7623aa704e858 66 | c74a969cce429a7aaf3fce3d833a9db8 67 | 27531c5e217c84e22bc2527fd75da02e 68 | f63a4a76f37fb74c4d4445cdc6b38e8c 69 | cab82f504517d44c1b399d8ef4d019aa 70 | 47f4e64086257657d32772f5133613c6 71 | d2b2e9d0e1709657f10e6bbf973f0877 72 | 720e5247aff6f4212cf4b891a77440bf 73 | ae5cd0a4fec645df68fa91a621be3962 74 | bd525696eca13521cbf82318e2fa3156 75 | 1fba94f42c0d7ce68e005681bef40ae0 76 | ca30014ff83808097be3118a08565628 77 | 84cae47a0829ebd17fd30ff77d85a60e 78 | 06e01754885dc55cc97051d1d561b5a6 79 | 8125d52810887997c5989a57a19ad1b1 80 | 803a1a35169669a4534774223e0953f9 81 | bfa2680953dd8468a896c344d04f2600 82 | 193d4cb6b9b6327da26cb09192a2e844 83 | 896e21bd510d462a5b17bd97e0e0c5f5 84 | 0f5c5e7489832cac435502cabeec2161 85 | 4062d208960a033427f2dcbf5e107bfe 86 | 9b07a08109af2963abd1df72c88e9bb0 87 | b377ac3c3b3b46ee3fd1505995577266 88 | d46b85ab26ec30b8a6683155d6e96c64 89 | e66931bdb32aa077faf9aa73910d44a1 90 | 59c166b5063924a1e9715bcb1710390a 91 | 75ddafd622f164ab8322014d12ee2783 92 | 10ff4cf317717a1a3e4bad8fae8a86d9 93 | 63682d57a650344911bc9bd919321e85 94 | 28016c08c47d6ac66e22cecd035ade12 95 | 756623ab5f2afe5d8ab2ab01ae7f7b6a 96 | 82f083d5b7dc0a7e9ff7a262d9a2ffa6 97 | f66757cecb5c3f8c59184084784756ac 98 | 75e50dde07e58ffa4a085680a3993033 99 | b441ef331b5d7abf07a7c51f4fbf0004 100 | 38f383f976261d5a2e2c9cd7efadda39 101 | bbdf602c902c7678849bd14c6ac37d78 102 | 8e1529ba9a0d05825628da3e034ea3c8 103 | f0a30bc8172b9fab83c40b688a1787da 104 | 09ab386b87621f824b59927ae85ae136 105 | 4deec8f4476f922dffaa174d0ae4d4aa 106 | e883827de65d673205c0845b877e91d5 107 | 59867f23fb30efc4b257c09be0062445 108 | be020c8fba6d66244f930a54fd28c7f4 109 | 13445d01b0bf6af5d363a9d97924bd63 110 | 393e094516d4ddb45e0e4d1754aa4fd0 111 | 64a87c7debfed7a159ce149e7d40ed23 112 | 9582da1320c6385950d77e12dad317b1 113 | fa9037290c508efebaf21b604a271e67 114 | 76b336e725d53cc566e9ec5791aae2b0 115 | 806a0d53c76e559e57c0c855e54a0ca1 116 | 3d0955a710cbcdf4bd1207b1bfe1d114 117 | 36e5720c0f378c7fe22a84b0b61a77a5 118 | a6c2f6af7f8c97b9488cf19e84eae92e 119 | 4f542676d498021909b134641c6bc92e 120 | 33e99f6a641e024bd8f44766c27a5000 121 | 6eba62726b35bfa991260e3613b2d18c 122 | 3508bf2676314c0821d2535ade15dc14 123 | ec11561f3e47d93900694156ab92e579 124 | 87ae8bda2d8e409fc62b60c05c4c43ab 125 | 440af1233c8644f5bc7db9ed6f3fa530 126 | 7e9b8d275dcfa8a8981b147611790b49 127 | 9e3fad2bdacbdb345da80e3ee27f4e53 128 | 272baa8e2b5a65aba9a870a2585c8e4c 129 | 67b3297859cc68f43e195b83c08ee5a1 130 | 5cfebaba3ffa055af7e099f0808dd2c3 131 | f7824effe5703222e42a09b81484a8ad 132 | 9eab592bf67581e877b6c9e9bbf6d703 133 | a38fcf2bcef3112acb010ad5b40937d7 134 | 100efeae24de5a936e24d78fc11ae753 135 | 515ae4a4d36f8d63cf7c8b1853c224ab 136 | 01d5c95cbcbf71624e4cb0bfd46ae351 137 | 7ab04ac4cfac0e8bacda47032c27af54 138 | 79f09c70e5c5f781127ae12a229fedbb 139 | c5d7e4c32fc21e8b7beb09da098fc1a5 140 | cbf7721d35dd4aa13e21830feac17db6 141 | 4098acc1aa82a0b491c6c156b76c3142 142 | a13557b658647757a45b6cbeec8544b6 143 | 480fd00ad16f5e61dc4259374512f2d0 144 | cf567b849b4458af084a2855ed2cb545 145 | 78d01ef6c811e8be48fb0eca49dddd36 146 | 4e25b42498ffc6459e62a3c07ff26878 147 | d29682d206b4b1b44c3483e8b55976d4 148 | b6bc6e6dc3ff4ecac91d504f876e1178 149 | cfa3d20235012784101285617a43d134 150 | 7b43eaf261744af35a5d250c0af53b0b 151 | 7a60f277853f3f36a72f0cd9d959b337 152 | 7fbc3f2db0636dc00456c124f4284e2c 153 | b19a226e9117f63c4db03135fd9f59f0 154 | 8fd2f007b6fe7cd6149f5bd99716722f 155 | 22bb51a47efc4750e048653f3e5c310e 156 | ccd12c19c3b7dfa0dee9d8c5ffc2749c 157 | 6eab2acf63eed10fcf72784248fa337d 158 | 0c6a753de1ad322d5a8f1ea91c6690c9 159 | dad131891425ff8fce97971300667931 160 | 6e1ebb76280535214b0a3522b013ab3c 161 | 7d73c7f057f10d2b7cbb2125f9ac7807 162 | 3888a01d9116d90a424ceaaeb9fbe353 163 | 38906ece99559ddc308f1e40f20a27aa 164 | c5232267db7d315664e21065d000f347 165 | 0c20dc173a5b4edbf87a64f64feb7a97 166 | f9dc136f1a07c8c277a9399ae5cb6b06 167 | c689179877e7d69b33c2bd10e00a5a6b 168 | 1c546878a7355da5a79598532932e21a 169 | b79fce62eba2960d50913bbcf0958f3d 170 | c49206c5fcd7c90d958dc846a8fbd4e3 171 | 5f83ffb978c2d3a31b7f6c552c0c927a 172 | 5280b67550d199c5a5ed28ab7822da90 173 | 163aa44a378521ed3d026fe58aef63f3 174 | 92f8e3e559589b3aa5eb867fdb47ddf1 175 | a199c5dfa79dbc5c46451125bf8dc2dd 176 | 11afa50ae8caa1ff5cda3ef8b00b39fb 177 | e9dc98bc30ef2ebecea5c5151c5732ef 178 | 8902df0dfc5cc9541e7e0e7b02b86792 179 | 436d36aa963e53fc4681ac152f12105b 180 | e4aa16e0b6a54a0204437e6ae06b62b7 181 | e3af1ee1732f8ffeedf42e16e46d0f8f 182 | 5576739cf50603cec2347e3707f8276b 183 | 30a94dbd5515707ef3e0b0a5fb19c4d9 184 | 0302ac7e02a9c5aa0f9c5ddb9d06d3f1 185 | 0ab9e0c89bba3771b2807e01702a1ab2 186 | 79acf882f0cfc06ad5085ca845b1c94b 187 | dd09b7dbf6be9e9b0858f52222d128b7 188 | d62e796ab63c11ca8745c1db27a8a295 189 | 2bf8c3bcbdc60a4d541bc47154e765c6 190 | 80b48a262a5d3558caca381ea81446da 191 | 90b38dc67be099a8875db1bbb3e123c3 192 | 7bd5c52d4d6d941986649d7d6ccc7c73 193 | 0d591cadc863b6409eaa30d29e0a9262 194 | 27fbd392c5eb9e5c1e418ac059ba84ce 195 | 40d7b2cddc5ecdc3566965026dd3f22d 196 | 198d040091a8b46190dbadd5ffe0b086 197 | ead436d2fd9ab4b2f9ed1dd14751f5c7 198 | 263f3dffc35d93b391dfc19ca27642f7 199 | f0fb4e4b3a0c43ed305d8c09d9f0635e 200 | 58c7787009407ec1c9b96361cbd5e3c6 201 | 9520933745778496063c451cf1565489 202 | 5e8e3edcec9c657d01795ee329bdf557 203 | ad563aca2a63cb5a05f0c679b097e7f4 204 | 9690261b589b80bbf1579871cfd0862c 205 | a5182d24036a6794ccbf125e162f736f 206 | 9a485c4fdc98a42ec059f6bf7c995afb 207 | 2cebffe5f3228948a5faeae55ea19729 208 | f8d566db162a688a8ae29873690734dc 209 | ed264f293d1108b4264ebf82ec6a18bd 210 | 9a5565f84b5be95f98097c070506abbf 211 | 153f35b2d4f69399067d5869fa739229 212 | 9d6b702b89e354371bdae48bb72a74ac 213 | f100e2661d959f010bb29187c92bf4c9 214 | a1241c824227c52f39d691b00f22a469 215 | f2944f19891da48116ee420686f4feff 216 | 19465917c3ad0f95bf57f58b31fbb622 217 | 78399701d998178847106a0da8448eaa 218 | 850ba7ad66b277cc7e81b6557c59189c 219 | a08cc9642b238a78ea6bfd7888b61401 220 | 746a5278611fbbca7e99f55ee17c0641 221 | 902a938df8c762527cb9afdb6a1410c5 222 | ec19f6a8b216595ae6d7c501b6021844 223 | 7c124596e17baaa689c25188fe544363 224 | b498450578aae301aaf3847a73ed7d09 225 | c9a475ce51b149a199b8b96510ed8b90 226 | 59039dd0259de188b005ae56b9586972 227 | 784a5ae641f1d5cb967568c95e8440fc 228 | cf2920497940aa00533abcd3fb94d368 229 | e584a499be9487d5640df8e6c5fa5e7c 230 | 96580881bb85de04bbfd2f75af3bea0a 231 | be9435b034ee338288e8943eeeb27b6c 232 | 7bf03b1fa1eb47dd4b0f9f0f28bfaa9c 233 | a8a96b08f04057c423da009ac20475f6 234 | 08f4e842deb0144f4a75448575ad5d96 235 | f562336b8558f361cd0106bd624502ec 236 | 4359afa552fa6e6b3f37e75661259b2e 237 | b512ac13aa2506f1e5ac119afd286b11 238 | d83d5cdc594a464cb0aa5f3be0bdc8af 239 | bfcec60f36afa0a28635cac2db51e5a5 240 | 3efd66f5ded7f21c088e07c0d5a397eb 241 | 551ce8ba1eba8abd19eb66110c9db217 242 | 18162e650e74d90c0ae34f9df3ef2d5d 243 | 6754bf9b80808101bc39049906a2159f 244 | 30c47a0f260821b7a9cd02b3e3e772e5 245 | 4d30c3d0b5facf3e5df19e57ddfa6de2 246 | a0acb339488105cdbe3fcf920b421267 247 | 4c47c7016517353fc466f621cbca9723 248 | 061ac385cd900bd94c857a3639275ab7 249 | 140806cbb1749ff3f42433c159f167aa 250 | fcee29a8e397a958aa6093f3133a1218 251 | e48dcc05802aa73a997cf51731a16353 252 | 761099233d954c2ec4158ea135c2677d 253 | b81973925301fc7c6c7d6fb9a92e7c98 254 | 390e75d1a5166f02631e115af3347e60 255 | 38689c98dc65d2d7e3ecd044bd6d333c 256 | 2ef7fda79a22a5edf7254be2a1954b5e 257 | de1752313772d690ef891f28c450cddb 258 | acb702e555b5df4ddc01f1c9f1a05e30 259 | 702a065e0505c2709e0c741bc1b83eb3 260 | 83f6dedebeda1e35414c14b5737d0522 261 | 6bbbcad48d1c21efee752b49fd1a363e 262 | 97b772d4cfa202e88256a5d31c3efb24 263 | b2b78f5d3d4ebec3a185efc6cca4e858 264 | 25867a383454766054deba34c72a412b 265 | 6c5dd05652dbe351a114635f5b4ee4ea 266 | 808d057a2ec0d86587ad97922e2110a4 267 | 4379e745c5dfb85d8f853ee3d5e6dfef 268 | 2e205c994d0420b0816ed4bf2e5082fb 269 | bd990020e8cc2200e4a1712f5c08c871 270 | 616ff849bf88d6b6b5424ce87d04ef1a 271 | 00c5cb6d0475dbd0587a767bcc10f1c2 272 | 1395bc3678773c69b13cd5e26405d116 273 | bb279ff4d2425151efa3dd080ed84cb3 274 | 74ccefb15f60f2a3fd9cb5e3391a57f9 275 | c0445056ef51873e8f50863ad7302b60 276 | 65d29fc8f68fa83f9320547bb1aa1e74 277 | e8b91854686bc9d4c7a63a81f43998a9 278 | b726d6d283ca6e7a4f1298ef4f530a26 279 | 29b003e14cd3eea2cf7881c6f07b7267 280 | 7829283872c623278aa9cc090548c420 281 | 3ac9a290056a09f00d63e61cdaec8e21 282 | db876ab021261830086c496f7deff14d 283 | b7afb0ad997bcbea14038609cefbb4a5 284 | 00197cee988b67354cd698217b05b45f 285 | 0093ce55a33b33b14480705e111c20d1 286 | 56b852417611c5a78bba7da34caec774 287 | bd3845331397e28d2e091ac40484a9be 288 | ec1da39c3325f8be4153fc432a9705c8 289 | 718666a1253d346c5af98c995220041a 290 | 9bf013c1df24669833e524999a1f4a52 291 | 75e03c3fbdd3676a4338382e782929d4 292 | 67806cf63f67e61901bb5f1dcd9a3a85 293 | 8707c5ae753334b21fd37c28b1a56661 294 | f3a39dfb4202d7aa1c85a01ad75033fa 295 | 191b42c9f94accede1f77c37e9e1b83c 296 | b31d2fadd631de005edd27e5f0b0ee80 297 | 44497ca9878d8f856139b1de0ae6dcf0 298 | 747d07dfaf07494140a30c7aa5b67227 299 | ae7da93aedb03279c0ed45e3fec8e339 300 | cb963663782dc54ce98fecf54537ec55 301 | -------------------------------------------------------------------------------- /mdx_model_data/model_data.json: -------------------------------------------------------------------------------- 1 | { 2 | "0ddfc0eb5792638ad5dc27850236c246": { 3 | "compensate": 1.035, 4 | "mdx_dim_f_set": 2048, 5 | "mdx_dim_t_set": 8, 6 | "mdx_n_fft_scale_set": 6144, 7 | "primary_stem": "Vocals" 8 | }, 9 | "26d308f91f3423a67dc69a6d12a8793d": { 10 | "compensate": 1.035, 11 | "mdx_dim_f_set": 2048, 12 | "mdx_dim_t_set": 9, 13 | "mdx_n_fft_scale_set": 8192, 14 | "primary_stem": "Other" 15 | }, 16 | "2cdd429caac38f0194b133884160f2c6": { 17 | "compensate": 1.045, 18 | "mdx_dim_f_set": 3072, 19 | "mdx_dim_t_set": 8, 20 | "mdx_n_fft_scale_set": 7680, 21 | "primary_stem": "Instrumental" 22 | }, 23 | "2f5501189a2f6db6349916fabe8c90de": { 24 | "compensate": 1.035, 25 | "mdx_dim_f_set": 2048, 26 | "mdx_dim_t_set": 8, 27 | "mdx_n_fft_scale_set": 6144, 28 | "primary_stem": "Vocals" 29 | }, 30 | "398580b6d5d973af3120df54cee6759d": { 31 | "compensate": 1.75, 32 | "mdx_dim_f_set": 3072, 33 | "mdx_dim_t_set": 8, 34 | "mdx_n_fft_scale_set": 7680, 35 | "primary_stem": "Vocals" 36 | }, 37 | "488b3e6f8bd3717d9d7c428476be2d75": { 38 | "compensate": 1.035, 39 | "mdx_dim_f_set": 3072, 40 | "mdx_dim_t_set": 8, 41 | "mdx_n_fft_scale_set": 7680, 42 | "primary_stem": "Instrumental" 43 | }, 44 | "4910e7827f335048bdac11fa967772f9": { 45 | "compensate": 1.035, 46 | "mdx_dim_f_set": 2048, 47 | "mdx_dim_t_set": 7, 48 | "mdx_n_fft_scale_set": 4096, 49 | "primary_stem": "Drums" 50 | }, 51 | "53c4baf4d12c3e6c3831bb8f5b532b93": { 52 | "compensate": 1.043, 53 | "mdx_dim_f_set": 3072, 54 | "mdx_dim_t_set": 8, 55 | "mdx_n_fft_scale_set": 7680, 56 | "primary_stem": "Vocals" 57 | }, 58 | "5d343409ef0df48c7d78cce9f0106781": { 59 | "compensate": 1.075, 60 | "mdx_dim_f_set": 3072, 61 | "mdx_dim_t_set": 8, 62 | "mdx_n_fft_scale_set": 7680, 63 | "primary_stem": "Vocals" 64 | }, 65 | "5f6483271e1efb9bfb59e4a3e6d4d098": { 66 | "compensate": 1.035, 67 | "mdx_dim_f_set": 2048, 68 | "mdx_dim_t_set": 9, 69 | "mdx_n_fft_scale_set": 6144, 70 | "primary_stem": "Vocals" 71 | }, 72 | "65ab5919372a128e4167f5e01a8fda85": { 73 | "compensate": 1.035, 74 | "mdx_dim_f_set": 2048, 75 | "mdx_dim_t_set": 8, 76 | "mdx_n_fft_scale_set": 8192, 77 | "primary_stem": "Other" 78 | }, 79 | "6703e39f36f18aa7855ee1047765621d": { 80 | "compensate": 1.035, 81 | "mdx_dim_f_set": 2048, 82 | "mdx_dim_t_set": 9, 83 | "mdx_n_fft_scale_set": 16384, 84 | "primary_stem": "Bass" 85 | }, 86 | "6b31de20e84392859a3d09d43f089515": { 87 | "compensate": 1.035, 88 | "mdx_dim_f_set": 2048, 89 | "mdx_dim_t_set": 8, 90 | "mdx_n_fft_scale_set": 6144, 91 | "primary_stem": "Vocals" 92 | }, 93 | "867595e9de46f6ab699008295df62798": { 94 | "compensate": 1.03, 95 | "mdx_dim_f_set": 3072, 96 | "mdx_dim_t_set": 8, 97 | "mdx_n_fft_scale_set": 7680, 98 | "primary_stem": "Vocals" 99 | }, 100 | "a3cd63058945e777505c01d2507daf37": { 101 | "compensate": 1.03, 102 | "mdx_dim_f_set": 2048, 103 | "mdx_dim_t_set": 8, 104 | "mdx_n_fft_scale_set": 6144, 105 | "primary_stem": "Vocals" 106 | }, 107 | "b33d9b3950b6cbf5fe90a32608924700": { 108 | "compensate": 1.03, 109 | "mdx_dim_f_set": 3072, 110 | "mdx_dim_t_set": 8, 111 | "mdx_n_fft_scale_set": 7680, 112 | "primary_stem": "Vocals" 113 | }, 114 | "c3b29bdce8c4fa17ec609e16220330ab": { 115 | "compensate": 1.035, 116 | "mdx_dim_f_set": 2048, 117 | "mdx_dim_t_set": 8, 118 | "mdx_n_fft_scale_set": 16384, 119 | "primary_stem": "Bass" 120 | }, 121 | "ceed671467c1f64ebdfac8a2490d0d52": { 122 | "compensate": 1.035, 123 | "mdx_dim_f_set": 3072, 124 | "mdx_dim_t_set": 8, 125 | "mdx_n_fft_scale_set": 7680, 126 | "primary_stem": "Instrumental" 127 | }, 128 | "d2a1376f310e4f7fa37fb9b5774eb701": { 129 | "compensate": 1.035, 130 | "mdx_dim_f_set": 3072, 131 | "mdx_dim_t_set": 8, 132 | "mdx_n_fft_scale_set": 7680, 133 | "primary_stem": "Instrumental" 134 | }, 135 | "d7bff498db9324db933d913388cba6be": { 136 | "compensate": 1.035, 137 | "mdx_dim_f_set": 2048, 138 | "mdx_dim_t_set": 8, 139 | "mdx_n_fft_scale_set": 6144, 140 | "primary_stem": "Vocals" 141 | }, 142 | "d94058f8c7f1fae4164868ae8ae66b20": { 143 | "compensate": 1.035, 144 | "mdx_dim_f_set": 2048, 145 | "mdx_dim_t_set": 8, 146 | "mdx_n_fft_scale_set": 6144, 147 | "primary_stem": "Vocals" 148 | }, 149 | "dc41ede5961d50f277eb846db17f5319": { 150 | "compensate": 1.035, 151 | "mdx_dim_f_set": 2048, 152 | "mdx_dim_t_set": 9, 153 | "mdx_n_fft_scale_set": 4096, 154 | "primary_stem": "Drums" 155 | }, 156 | "e5572e58abf111f80d8241d2e44e7fa4": { 157 | "compensate": 1.028, 158 | "mdx_dim_f_set": 3072, 159 | "mdx_dim_t_set": 8, 160 | "mdx_n_fft_scale_set": 7680, 161 | "primary_stem": "Instrumental" 162 | }, 163 | "e7324c873b1f615c35c1967f912db92a": { 164 | "compensate": 1.03, 165 | "mdx_dim_f_set": 3072, 166 | "mdx_dim_t_set": 8, 167 | "mdx_n_fft_scale_set": 7680, 168 | "primary_stem": "Vocals" 169 | }, 170 | "1c56ec0224f1d559c42fd6fd2a67b154": { 171 | "compensate": 1.025, 172 | "mdx_dim_f_set": 2048, 173 | "mdx_dim_t_set": 8, 174 | "mdx_n_fft_scale_set": 5120, 175 | "primary_stem": "Instrumental" 176 | }, 177 | "f2df6d6863d8f435436d8b561594ff49": { 178 | "compensate": 1.035, 179 | "mdx_dim_f_set": 3072, 180 | "mdx_dim_t_set": 8, 181 | "mdx_n_fft_scale_set": 7680, 182 | "primary_stem": "Instrumental" 183 | }, 184 | "b06327a00d5e5fbc7d96e1781bbdb596": { 185 | "compensate": 1.035, 186 | "mdx_dim_f_set": 3072, 187 | "mdx_dim_t_set": 8, 188 | "mdx_n_fft_scale_set": 6144, 189 | "primary_stem": "Instrumental" 190 | }, 191 | "94ff780b977d3ca07c7a343dab2e25dd": { 192 | "compensate": 1.039, 193 | "mdx_dim_f_set": 3072, 194 | "mdx_dim_t_set": 8, 195 | "mdx_n_fft_scale_set": 6144, 196 | "primary_stem": "Instrumental" 197 | }, 198 | "73492b58195c3b52d34590d5474452f6": { 199 | "compensate": 1.043, 200 | "mdx_dim_f_set": 3072, 201 | "mdx_dim_t_set": 8, 202 | "mdx_n_fft_scale_set": 7680, 203 | "primary_stem": "Vocals" 204 | }, 205 | "970b3f9492014d18fefeedfe4773cb42": { 206 | "compensate": 1.009, 207 | "mdx_dim_f_set": 3072, 208 | "mdx_dim_t_set": 8, 209 | "mdx_n_fft_scale_set": 7680, 210 | "primary_stem": "Vocals" 211 | }, 212 | "1d64a6d2c30f709b8c9b4ce1366d96ee": { 213 | "compensate": 1.065, 214 | "mdx_dim_f_set": 2048, 215 | "mdx_dim_t_set": 8, 216 | "mdx_n_fft_scale_set": 5120, 217 | "primary_stem": "Instrumental" 218 | }, 219 | "203f2a3955221b64df85a41af87cf8f0": { 220 | "compensate": 1.035, 221 | "mdx_dim_f_set": 3072, 222 | "mdx_dim_t_set": 8, 223 | "mdx_n_fft_scale_set": 6144, 224 | "primary_stem": "Instrumental" 225 | }, 226 | "291c2049608edb52648b96e27eb80e95": { 227 | "compensate": 1.035, 228 | "mdx_dim_f_set": 3072, 229 | "mdx_dim_t_set": 8, 230 | "mdx_n_fft_scale_set": 6144, 231 | "primary_stem": "Instrumental" 232 | }, 233 | "ead8d05dab12ec571d67549b3aab03fc": { 234 | "compensate": 1.035, 235 | "mdx_dim_f_set": 3072, 236 | "mdx_dim_t_set": 8, 237 | "mdx_n_fft_scale_set": 6144, 238 | "primary_stem": "Instrumental" 239 | }, 240 | "cc63408db3d80b4d85b0287d1d7c9632": { 241 | "compensate": 1.033, 242 | "mdx_dim_f_set": 3072, 243 | "mdx_dim_t_set": 8, 244 | "mdx_n_fft_scale_set": 6144, 245 | "primary_stem": "Instrumental" 246 | }, 247 | "cd5b2989ad863f116c855db1dfe24e39": { 248 | "compensate": 1.035, 249 | "mdx_dim_f_set": 3072, 250 | "mdx_dim_t_set": 9, 251 | "mdx_n_fft_scale_set": 6144, 252 | "primary_stem": "Other" 253 | }, 254 | "55657dd70583b0fedfba5f67df11d711": { 255 | "compensate": 1.022, 256 | "mdx_dim_f_set": 3072, 257 | "mdx_dim_t_set": 8, 258 | "mdx_n_fft_scale_set": 6144, 259 | "primary_stem": "Instrumental" 260 | }, 261 | "b6bccda408a436db8500083ef3491e8b": { 262 | "compensate": 1.02, 263 | "mdx_dim_f_set": 3072, 264 | "mdx_dim_t_set": 8, 265 | "mdx_n_fft_scale_set": 7680, 266 | "primary_stem": "Instrumental" 267 | }, 268 | "8a88db95c7fb5dbe6a095ff2ffb428b1": { 269 | "compensate": 1.026, 270 | "mdx_dim_f_set": 2048, 271 | "mdx_dim_t_set": 8, 272 | "mdx_n_fft_scale_set": 5120, 273 | "primary_stem": "Instrumental" 274 | }, 275 | "b78da4afc6512f98e4756f5977f5c6b9": { 276 | "compensate": 1.021, 277 | "mdx_dim_f_set": 3072, 278 | "mdx_dim_t_set": 8, 279 | "mdx_n_fft_scale_set": 7680, 280 | "primary_stem": "Instrumental" 281 | }, 282 | "77d07b2667ddf05b9e3175941b4454a0": { 283 | "compensate": 1.021, 284 | "mdx_dim_f_set": 3072, 285 | "mdx_dim_t_set": 8, 286 | "mdx_n_fft_scale_set": 7680, 287 | "primary_stem": "Vocals" 288 | }, 289 | "cb790d0c913647ced70fc6b38f5bea1a": { 290 | "compensate": 1.010, 291 | "mdx_dim_f_set": 2560, 292 | "mdx_dim_t_set": 8, 293 | "mdx_n_fft_scale_set": 5120, 294 | "primary_stem": "Instrumental" 295 | }, 296 | "2154254ee89b2945b97a7efed6e88820": { 297 | "config_yaml": "model_2_stem_061321.yaml" 298 | }, 299 | "063aadd735d58150722926dcbf5852a9": { 300 | "config_yaml": "model_2_stem_061321.yaml" 301 | }, 302 | "fe96801369f6a148df2720f5ced88c19": { 303 | "config_yaml": "model3.yaml" 304 | }, 305 | "02e8b226f85fb566e5db894b9931c640": { 306 | "config_yaml": "model2.yaml" 307 | }, 308 | "e3de6d861635ab9c1d766149edd680d6": { 309 | "config_yaml": "model1.yaml" 310 | }, 311 | "3f2936c554ab73ce2e396d54636bd373": { 312 | "config_yaml": "modelB.yaml" 313 | }, 314 | "890d0f6f82d7574bca741a9e8bcb8168": { 315 | "config_yaml": "modelB.yaml" 316 | }, 317 | "63a3cb8c37c474681049be4ad1ba8815": { 318 | "config_yaml": "modelB.yaml" 319 | }, 320 | "a7fc5d719743c7fd6b61bd2b4d48b9f0": { 321 | "config_yaml": "modelA.yaml" 322 | }, 323 | "3567f3dee6e77bf366fcb1c7b8bc3745": { 324 | "config_yaml": "modelA.yaml" 325 | }, 326 | "a28f4d717bd0d34cd2ff7a3b0a3d065e": { 327 | "config_yaml": "modelA.yaml" 328 | }, 329 | "c9971a18da20911822593dc81caa8be9": { 330 | "config_yaml": "sndfx.yaml" 331 | }, 332 | "57d94d5ed705460d21c75a5ac829a605": { 333 | "config_yaml": "sndfx.yaml" 334 | }, 335 | "e7a25f8764f25a52c1b96c4946e66ba2": { 336 | "config_yaml": "sndfx.yaml" 337 | }, 338 | "104081d24e37217086ce5fde09147ee1": { 339 | "config_yaml": "model_2_stem_061321.yaml" 340 | }, 341 | "1e6165b601539f38d0a9330f3facffeb": { 342 | "config_yaml": "model_2_stem_061321.yaml" 343 | }, 344 | "fe0108464ce0d8271be5ab810891bd7c": { 345 | "config_yaml": "model_2_stem_full_band.yaml" 346 | } 347 | } 348 | -------------------------------------------------------------------------------- /mdx_model_data/model_data_new.json: -------------------------------------------------------------------------------- 1 | { 2 | "0ddfc0eb5792638ad5dc27850236c246": { 3 | "compensate": 1.035, 4 | "mdx_dim_f_set": 2048, 5 | "mdx_dim_t_set": 8, 6 | "mdx_n_fft_scale_set": 6144, 7 | "primary_stem": "Vocals" 8 | }, 9 | "26d308f91f3423a67dc69a6d12a8793d": { 10 | "compensate": 1.035, 11 | "mdx_dim_f_set": 2048, 12 | "mdx_dim_t_set": 9, 13 | "mdx_n_fft_scale_set": 8192, 14 | "primary_stem": "Other" 15 | }, 16 | "2cdd429caac38f0194b133884160f2c6": { 17 | "compensate": 1.045, 18 | "mdx_dim_f_set": 3072, 19 | "mdx_dim_t_set": 8, 20 | "mdx_n_fft_scale_set": 7680, 21 | "primary_stem": "Instrumental" 22 | }, 23 | "2f5501189a2f6db6349916fabe8c90de": { 24 | "compensate": 1.035, 25 | "mdx_dim_f_set": 2048, 26 | "mdx_dim_t_set": 8, 27 | "mdx_n_fft_scale_set": 6144, 28 | "primary_stem": "Vocals", 29 | "is_karaoke": true 30 | }, 31 | "398580b6d5d973af3120df54cee6759d": { 32 | "compensate": 1.75, 33 | "mdx_dim_f_set": 3072, 34 | "mdx_dim_t_set": 8, 35 | "mdx_n_fft_scale_set": 7680, 36 | "primary_stem": "Vocals" 37 | }, 38 | "488b3e6f8bd3717d9d7c428476be2d75": { 39 | "compensate": 1.035, 40 | "mdx_dim_f_set": 3072, 41 | "mdx_dim_t_set": 8, 42 | "mdx_n_fft_scale_set": 7680, 43 | "primary_stem": "Instrumental" 44 | }, 45 | "4910e7827f335048bdac11fa967772f9": { 46 | "compensate": 1.035, 47 | "mdx_dim_f_set": 2048, 48 | "mdx_dim_t_set": 7, 49 | "mdx_n_fft_scale_set": 4096, 50 | "primary_stem": "Drums" 51 | }, 52 | "53c4baf4d12c3e6c3831bb8f5b532b93": { 53 | "compensate": 1.043, 54 | "mdx_dim_f_set": 3072, 55 | "mdx_dim_t_set": 8, 56 | "mdx_n_fft_scale_set": 7680, 57 | "primary_stem": "Vocals" 58 | }, 59 | "5d343409ef0df48c7d78cce9f0106781": { 60 | "compensate": 1.075, 61 | "mdx_dim_f_set": 3072, 62 | "mdx_dim_t_set": 8, 63 | "mdx_n_fft_scale_set": 7680, 64 | "primary_stem": "Vocals" 65 | }, 66 | "5f6483271e1efb9bfb59e4a3e6d4d098": { 67 | "compensate": 1.035, 68 | "mdx_dim_f_set": 2048, 69 | "mdx_dim_t_set": 9, 70 | "mdx_n_fft_scale_set": 6144, 71 | "primary_stem": "Vocals" 72 | }, 73 | "65ab5919372a128e4167f5e01a8fda85": { 74 | "compensate": 1.035, 75 | "mdx_dim_f_set": 2048, 76 | "mdx_dim_t_set": 8, 77 | "mdx_n_fft_scale_set": 8192, 78 | "primary_stem": "Other" 79 | }, 80 | "6703e39f36f18aa7855ee1047765621d": { 81 | "compensate": 1.035, 82 | "mdx_dim_f_set": 2048, 83 | "mdx_dim_t_set": 9, 84 | "mdx_n_fft_scale_set": 16384, 85 | "primary_stem": "Bass" 86 | }, 87 | "6b31de20e84392859a3d09d43f089515": { 88 | "compensate": 1.035, 89 | "mdx_dim_f_set": 2048, 90 | "mdx_dim_t_set": 8, 91 | "mdx_n_fft_scale_set": 6144, 92 | "primary_stem": "Vocals" 93 | }, 94 | "867595e9de46f6ab699008295df62798": { 95 | "compensate": 1.03, 96 | "mdx_dim_f_set": 3072, 97 | "mdx_dim_t_set": 8, 98 | "mdx_n_fft_scale_set": 7680, 99 | "primary_stem": "Vocals" 100 | }, 101 | "a3cd63058945e777505c01d2507daf37": { 102 | "compensate": 1.03, 103 | "mdx_dim_f_set": 2048, 104 | "mdx_dim_t_set": 8, 105 | "mdx_n_fft_scale_set": 6144, 106 | "primary_stem": "Vocals" 107 | }, 108 | "b33d9b3950b6cbf5fe90a32608924700": { 109 | "compensate": 1.03, 110 | "mdx_dim_f_set": 3072, 111 | "mdx_dim_t_set": 8, 112 | "mdx_n_fft_scale_set": 7680, 113 | "primary_stem": "Vocals" 114 | }, 115 | "c3b29bdce8c4fa17ec609e16220330ab": { 116 | "compensate": 1.035, 117 | "mdx_dim_f_set": 2048, 118 | "mdx_dim_t_set": 8, 119 | "mdx_n_fft_scale_set": 16384, 120 | "primary_stem": "Bass" 121 | }, 122 | "ceed671467c1f64ebdfac8a2490d0d52": { 123 | "compensate": 1.035, 124 | "mdx_dim_f_set": 3072, 125 | "mdx_dim_t_set": 8, 126 | "mdx_n_fft_scale_set": 7680, 127 | "primary_stem": "Instrumental" 128 | }, 129 | "d2a1376f310e4f7fa37fb9b5774eb701": { 130 | "compensate": 1.035, 131 | "mdx_dim_f_set": 3072, 132 | "mdx_dim_t_set": 8, 133 | "mdx_n_fft_scale_set": 7680, 134 | "primary_stem": "Instrumental" 135 | }, 136 | "d7bff498db9324db933d913388cba6be": { 137 | "compensate": 1.035, 138 | "mdx_dim_f_set": 2048, 139 | "mdx_dim_t_set": 8, 140 | "mdx_n_fft_scale_set": 6144, 141 | "primary_stem": "Vocals" 142 | }, 143 | "d94058f8c7f1fae4164868ae8ae66b20": { 144 | "compensate": 1.035, 145 | "mdx_dim_f_set": 2048, 146 | "mdx_dim_t_set": 8, 147 | "mdx_n_fft_scale_set": 6144, 148 | "primary_stem": "Vocals" 149 | }, 150 | "dc41ede5961d50f277eb846db17f5319": { 151 | "compensate": 1.035, 152 | "mdx_dim_f_set": 2048, 153 | "mdx_dim_t_set": 9, 154 | "mdx_n_fft_scale_set": 4096, 155 | "primary_stem": "Drums" 156 | }, 157 | "e5572e58abf111f80d8241d2e44e7fa4": { 158 | "compensate": 1.028, 159 | "mdx_dim_f_set": 3072, 160 | "mdx_dim_t_set": 8, 161 | "mdx_n_fft_scale_set": 7680, 162 | "primary_stem": "Instrumental" 163 | }, 164 | "e7324c873b1f615c35c1967f912db92a": { 165 | "compensate": 1.03, 166 | "mdx_dim_f_set": 3072, 167 | "mdx_dim_t_set": 8, 168 | "mdx_n_fft_scale_set": 7680, 169 | "primary_stem": "Vocals" 170 | }, 171 | "1c56ec0224f1d559c42fd6fd2a67b154": { 172 | "compensate": 1.025, 173 | "mdx_dim_f_set": 2048, 174 | "mdx_dim_t_set": 8, 175 | "mdx_n_fft_scale_set": 5120, 176 | "primary_stem": "Instrumental" 177 | }, 178 | "f2df6d6863d8f435436d8b561594ff49": { 179 | "compensate": 1.035, 180 | "mdx_dim_f_set": 3072, 181 | "mdx_dim_t_set": 8, 182 | "mdx_n_fft_scale_set": 7680, 183 | "primary_stem": "Instrumental" 184 | }, 185 | "b06327a00d5e5fbc7d96e1781bbdb596": { 186 | "compensate": 1.035, 187 | "mdx_dim_f_set": 3072, 188 | "mdx_dim_t_set": 8, 189 | "mdx_n_fft_scale_set": 6144, 190 | "primary_stem": "Instrumental" 191 | }, 192 | "94ff780b977d3ca07c7a343dab2e25dd": { 193 | "compensate": 1.039, 194 | "mdx_dim_f_set": 3072, 195 | "mdx_dim_t_set": 8, 196 | "mdx_n_fft_scale_set": 6144, 197 | "primary_stem": "Instrumental" 198 | }, 199 | "73492b58195c3b52d34590d5474452f6": { 200 | "compensate": 1.043, 201 | "mdx_dim_f_set": 3072, 202 | "mdx_dim_t_set": 8, 203 | "mdx_n_fft_scale_set": 7680, 204 | "primary_stem": "Vocals" 205 | }, 206 | "970b3f9492014d18fefeedfe4773cb42": { 207 | "compensate": 1.009, 208 | "mdx_dim_f_set": 3072, 209 | "mdx_dim_t_set": 8, 210 | "mdx_n_fft_scale_set": 7680, 211 | "primary_stem": "Vocals" 212 | }, 213 | "1d64a6d2c30f709b8c9b4ce1366d96ee": { 214 | "compensate": 1.065, 215 | "mdx_dim_f_set": 2048, 216 | "mdx_dim_t_set": 8, 217 | "mdx_n_fft_scale_set": 5120, 218 | "primary_stem": "Instrumental", 219 | "is_karaoke": true 220 | }, 221 | "203f2a3955221b64df85a41af87cf8f0": { 222 | "compensate": 1.035, 223 | "mdx_dim_f_set": 3072, 224 | "mdx_dim_t_set": 8, 225 | "mdx_n_fft_scale_set": 6144, 226 | "primary_stem": "Instrumental" 227 | }, 228 | "291c2049608edb52648b96e27eb80e95": { 229 | "compensate": 1.035, 230 | "mdx_dim_f_set": 3072, 231 | "mdx_dim_t_set": 8, 232 | "mdx_n_fft_scale_set": 6144, 233 | "primary_stem": "Instrumental" 234 | }, 235 | "ead8d05dab12ec571d67549b3aab03fc": { 236 | "compensate": 1.035, 237 | "mdx_dim_f_set": 3072, 238 | "mdx_dim_t_set": 8, 239 | "mdx_n_fft_scale_set": 6144, 240 | "primary_stem": "Instrumental" 241 | }, 242 | "cc63408db3d80b4d85b0287d1d7c9632": { 243 | "compensate": 1.033, 244 | "mdx_dim_f_set": 3072, 245 | "mdx_dim_t_set": 8, 246 | "mdx_n_fft_scale_set": 6144, 247 | "primary_stem": "Instrumental" 248 | }, 249 | "cd5b2989ad863f116c855db1dfe24e39": { 250 | "compensate": 1.035, 251 | "mdx_dim_f_set": 3072, 252 | "mdx_dim_t_set": 9, 253 | "mdx_n_fft_scale_set": 6144, 254 | "primary_stem": "Reverb" 255 | }, 256 | "55657dd70583b0fedfba5f67df11d711": { 257 | "compensate": 1.022, 258 | "mdx_dim_f_set": 3072, 259 | "mdx_dim_t_set": 8, 260 | "mdx_n_fft_scale_set": 6144, 261 | "primary_stem": "Instrumental" 262 | }, 263 | "b6bccda408a436db8500083ef3491e8b": { 264 | "compensate": 1.02, 265 | "mdx_dim_f_set": 3072, 266 | "mdx_dim_t_set": 8, 267 | "mdx_n_fft_scale_set": 7680, 268 | "primary_stem": "Instrumental" 269 | }, 270 | "8a88db95c7fb5dbe6a095ff2ffb428b1": { 271 | "compensate": 1.026, 272 | "mdx_dim_f_set": 2048, 273 | "mdx_dim_t_set": 8, 274 | "mdx_n_fft_scale_set": 5120, 275 | "primary_stem": "Instrumental" 276 | }, 277 | "b78da4afc6512f98e4756f5977f5c6b9": { 278 | "compensate": 1.021, 279 | "mdx_dim_f_set": 3072, 280 | "mdx_dim_t_set": 8, 281 | "mdx_n_fft_scale_set": 7680, 282 | "primary_stem": "Instrumental" 283 | }, 284 | "77d07b2667ddf05b9e3175941b4454a0": { 285 | "compensate": 1.021, 286 | "mdx_dim_f_set": 3072, 287 | "mdx_dim_t_set": 8, 288 | "mdx_n_fft_scale_set": 7680, 289 | "primary_stem": "Vocals" 290 | }, 291 | "0f2a6bc5b49d87d64728ee40e23bceb1": { 292 | "compensate": 1.019, 293 | "mdx_dim_f_set": 2560, 294 | "mdx_dim_t_set": 8, 295 | "mdx_n_fft_scale_set": 5120, 296 | "primary_stem": "Instrumental" 297 | }, 298 | "cb790d0c913647ced70fc6b38f5bea1a": { 299 | "compensate": 1.01, 300 | "mdx_dim_f_set": 2560, 301 | "mdx_dim_t_set": 8, 302 | "mdx_n_fft_scale_set": 5120, 303 | "primary_stem": "Instrumental" 304 | }, 305 | "b02be2d198d4968a121030cf8950b492": { 306 | "compensate": 1.02, 307 | "mdx_dim_f_set": 2560, 308 | "mdx_dim_t_set": 8, 309 | "mdx_n_fft_scale_set": 5120, 310 | "primary_stem": "No Crowd" 311 | }, 312 | "2154254ee89b2945b97a7efed6e88820": { 313 | "config_yaml": "model_2_stem_061321.yaml" 314 | }, 315 | "063aadd735d58150722926dcbf5852a9": { 316 | "config_yaml": "model_2_stem_061321.yaml" 317 | }, 318 | "c09f714d978b41d718facfe3427e6001": { 319 | "config_yaml": "model_2_stem_061321.yaml" 320 | }, 321 | "fe96801369f6a148df2720f5ced88c19": { 322 | "config_yaml": "model3.yaml" 323 | }, 324 | "02e8b226f85fb566e5db894b9931c640": { 325 | "config_yaml": "model2.yaml" 326 | }, 327 | "e3de6d861635ab9c1d766149edd680d6": { 328 | "config_yaml": "model1.yaml" 329 | }, 330 | "3f2936c554ab73ce2e396d54636bd373": { 331 | "config_yaml": "modelB.yaml" 332 | }, 333 | "890d0f6f82d7574bca741a9e8bcb8168": { 334 | "config_yaml": "modelB.yaml" 335 | }, 336 | "63a3cb8c37c474681049be4ad1ba8815": { 337 | "config_yaml": "modelB.yaml" 338 | }, 339 | "a7fc5d719743c7fd6b61bd2b4d48b9f0": { 340 | "config_yaml": "modelA.yaml" 341 | }, 342 | "3567f3dee6e77bf366fcb1c7b8bc3745": { 343 | "config_yaml": "modelA.yaml" 344 | }, 345 | "a28f4d717bd0d34cd2ff7a3b0a3d065e": { 346 | "config_yaml": "modelA.yaml" 347 | }, 348 | "c9971a18da20911822593dc81caa8be9": { 349 | "config_yaml": "sndfx.yaml" 350 | }, 351 | "57d94d5ed705460d21c75a5ac829a605": { 352 | "config_yaml": "sndfx.yaml" 353 | }, 354 | "e7a25f8764f25a52c1b96c4946e66ba2": { 355 | "config_yaml": "sndfx.yaml" 356 | }, 357 | "104081d24e37217086ce5fde09147ee1": { 358 | "config_yaml": "model_2_stem_061321.yaml" 359 | }, 360 | "1e6165b601539f38d0a9330f3facffeb": { 361 | "config_yaml": "model_2_stem_061321.yaml" 362 | }, 363 | "fe0108464ce0d8271be5ab810891bd7c": { 364 | "config_yaml": "model_2_stem_full_band.yaml" 365 | }, 366 | "e9b82ec90ee56c507a3a982f1555714c": { 367 | "config_yaml": "model_2_stem_full_band_2.yaml" 368 | }, 369 | "99b6ceaae542265a3b6d657bf9fde79f": { 370 | "config_yaml": "model_2_stem_full_band_8k.yaml" 371 | }, 372 | "116f6f9dabb907b53d847ed9f7a9475f": { 373 | "config_yaml": "model_2_stem_full_band_8k.yaml" 374 | }, 375 | "53f707017bfcbb56f5e1bfac420d6732": { 376 | "config_yaml": "model_bs_roformer_ep_317_sdr_12.9755.yaml", 377 | "is_roformer": true 378 | }, 379 | "63e41acc264bf681a73aa9f7e5f606cc": { 380 | "config_yaml": "model_mel_band_roformer_ep_3005_sdr_11.4360.yaml", 381 | "is_roformer": true 382 | }, 383 | "e733736763234047587931fc35322fd9": { 384 | "config_yaml": "model_bs_roformer_ep_937_sdr_10.5309.yaml", 385 | "is_roformer": true 386 | }, 387 | "d7a256bee3e7c620f554bceaab2f68f6": { 388 | "config_yaml": "config_melbandroformer_inst.yaml", 389 | "is_roformer": true 390 | }, 391 | "365ccfa0e04b31ac2e24bbb935142a81": { 392 | "config_yaml": "config_melbandroformer_inst.yaml", 393 | "is_roformer": true 394 | }, 395 | "3c15abf122d8eccc4a0eb97bf84a3e58": { 396 | "config_yaml": "config_melbandroformer_instvoc_duality.yaml", 397 | "is_roformer": true 398 | }, 399 | "9fb197af219c5172ea38703a33aceb79": { 400 | "config_yaml": "config_melbandroformer_instvoc_duality.yaml", 401 | "is_roformer": true 402 | }, 403 | "d789065adfd747d6f585b27b495bcdae": { 404 | "config_yaml": "model_bs_roformer_ep_368_sdr_12.9628.yaml", 405 | "is_roformer": true 406 | }, 407 | "e4ca75912fcff3224a19058e55facfbf": { 408 | "config_yaml": "config_vocals_mel_band_roformer_kim.yaml", 409 | "is_roformer": true 410 | }, 411 | "951f8ef420a941a395a9919f5d55cce9": { 412 | "config_yaml": "config_melbandroformer_inst_v2.yaml", 413 | "is_roformer": true 414 | }, 415 | "8d306349be961bd1de6b02ee598920b3": { 416 | "config_yaml": "config_mel_band_roformer_karaoke.yaml", 417 | "is_roformer": true, 418 | "model_type": "MelBand-Roformer", 419 | "is_karaoke": true 420 | }, 421 | "b1e6014529f71b38dae30aec978c8eb4": { 422 | "config_yaml": "aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml", 423 | "is_roformer": false, 424 | "model_type": "MDX23C", 425 | "is_karaoke": false 426 | }, 427 | "490993ba65cd8b61a97a7c61650ddb7d": { 428 | "config_yaml": "BS_Inst_EXP_VRL.yaml", 429 | "is_roformer": true, 430 | "model_type": "BS-Roformer v2", 431 | "is_karaoke": false 432 | }, 433 | "cfa9cee352938476c31e92656f1b9074": { 434 | "config_yaml": "config_dnr_bandit_v2_mus64.yaml", 435 | "is_roformer": true, 436 | "model_type": "Bandit v2", 437 | "is_karaoke": false 438 | }, 439 | "8318a54fe1278ddcf78aad32145c0a6f": { 440 | "config_yaml": "deverb_bs_roformer_8_256dim_8depth.yaml", 441 | "is_roformer": true, 442 | "model_type": "BS-Roformer", 443 | "is_karaoke": false 444 | }, 445 | "3bff56e6709357854e71cb2e7802733a": { 446 | "config_yaml": "config_dnr_bandit_bsrnn_multi_mus64.yaml", 447 | "is_roformer": true, 448 | "model_type": "Bandit", 449 | "is_karaoke": false 450 | }, 451 | "c7500d7fdb1c0fc24b14b698515462d2": { 452 | "config_yaml": "config_mdx23c_similarity.yaml", 453 | "is_roformer": false, 454 | "model_type": "MDX23C", 455 | "is_karaoke": false 456 | }, 457 | "77dd1942c0feb5c04ad0b4effa34fbc6": { 458 | "config_yaml": "config_musdb18_scnet_large.yaml", 459 | "is_roformer": true, 460 | "model_type": "SCNet", 461 | "is_karaoke": false 462 | }, 463 | "6e749f5803b8baa7988a10393bb96df1": { 464 | "config_yaml": "config_musdb18_scnet.yaml", 465 | "is_roformer": true, 466 | "model_type": "SCNet", 467 | "is_karaoke": false 468 | }, 469 | "bb845b04a3cb0d7a32cdb1f2ce1e007c": { 470 | "config_yaml": "config_musdb18_scnet_large_starrytong.yaml", 471 | "is_roformer": true, 472 | "model_type": "SCNet", 473 | "is_karaoke": false 474 | }, 475 | "85b1955d57c0719e94e832eaaeceb0a8": { 476 | "config_yaml": "config_musdb18_scnet_xl.yaml", 477 | "is_roformer": true, 478 | "model_type": "SCNet", 479 | "is_karaoke": false 480 | } 481 | 482 | } 483 | -------------------------------------------------------------------------------- /filelists/download_checks.json: -------------------------------------------------------------------------------- 1 | { 2 | "current_version": "UVR_Patch_10_6_23_4_27", 3 | "current_version_ocl": "UVR_Patch_10_6_23_4_27", 4 | "current_version_mac": "UVR_Patch_10_6_23_4_27", 5 | "current_version_linux": "UVR_Patch_10_6_23_4_27", 6 | "vr_download_list": { 7 | "VR Arch Single Model v5: 1_HP-UVR": "1_HP-UVR.pth", 8 | "VR Arch Single Model v5: 2_HP-UVR": "2_HP-UVR.pth", 9 | "VR Arch Single Model v5: 3_HP-Vocal-UVR": "3_HP-Vocal-UVR.pth", 10 | "VR Arch Single Model v5: 4_HP-Vocal-UVR": "4_HP-Vocal-UVR.pth", 11 | "VR Arch Single Model v5: 5_HP-Karaoke-UVR": "5_HP-Karaoke-UVR.pth", 12 | "VR Arch Single Model v5: 6_HP-Karaoke-UVR": "6_HP-Karaoke-UVR.pth", 13 | "VR Arch Single Model v5: 7_HP2-UVR": "7_HP2-UVR.pth", 14 | "VR Arch Single Model v5: 8_HP2-UVR": "8_HP2-UVR.pth", 15 | "VR Arch Single Model v5: 9_HP2-UVR": "9_HP2-UVR.pth", 16 | "VR Arch Single Model v5: 10_SP-UVR-2B-32000-1": "10_SP-UVR-2B-32000-1.pth", 17 | "VR Arch Single Model v5: 11_SP-UVR-2B-32000-2": "11_SP-UVR-2B-32000-2.pth", 18 | "VR Arch Single Model v5: 12_SP-UVR-3B-44100": "12_SP-UVR-3B-44100.pth", 19 | "VR Arch Single Model v5: 13_SP-UVR-4B-44100-1": "13_SP-UVR-4B-44100-1.pth", 20 | "VR Arch Single Model v5: 14_SP-UVR-4B-44100-2": "14_SP-UVR-4B-44100-2.pth", 21 | "VR Arch Single Model v5: 15_SP-UVR-MID-44100-1": "15_SP-UVR-MID-44100-1.pth", 22 | "VR Arch Single Model v5: 16_SP-UVR-MID-44100-2": "16_SP-UVR-MID-44100-2.pth", 23 | "VR Arch Single Model v5: 17_HP-Wind_Inst-UVR": "17_HP-Wind_Inst-UVR.pth", 24 | "VR Arch Single Model v5: UVR-De-Echo-Aggressive by FoxJoy": "UVR-De-Echo-Aggressive.pth", 25 | "VR Arch Single Model v5: UVR-De-Echo-Normal by FoxJoy": "UVR-De-Echo-Normal.pth", 26 | "VR Arch Single Model v5: UVR-DeEcho-DeReverb by FoxJoy": "UVR-DeEcho-DeReverb.pth", 27 | "VR Arch Single Model v5: UVR-DeNoise-Lite by FoxJoy": "UVR-DeNoise-Lite.pth", 28 | "VR Arch Single Model v5: UVR-DeNoise by FoxJoy": "UVR-DeNoise.pth", 29 | "VR Arch Single Model v5: UVR-BVE-4B_SN-44100-1": "UVR-BVE-4B_SN-44100-1.pth", 30 | "VR Arch Single Model v4: MGM_HIGHEND_v4": "MGM_HIGHEND_v4.pth", 31 | "VR Arch Single Model v4: MGM_LOWEND_A_v4": "MGM_LOWEND_A_v4.pth", 32 | "VR Arch Single Model v4: MGM_LOWEND_B_v4": "MGM_LOWEND_B_v4.pth", 33 | "VR Arch Single Model v4: MGM_MAIN_v4": "MGM_MAIN_v4.pth" 34 | }, 35 | 36 | "mdx_download_list": { 37 | "MDX-Net Model: UVR-MDX-NET Inst HQ 1": "UVR-MDX-NET-Inst_HQ_1.onnx", 38 | "MDX-Net Model: UVR-MDX-NET Inst HQ 2": "UVR-MDX-NET-Inst_HQ_2.onnx", 39 | "MDX-Net Model: UVR-MDX-NET Inst HQ 3": "UVR-MDX-NET-Inst_HQ_3.onnx", 40 | "MDX-Net Model: UVR-MDX-NET Inst HQ 4": "UVR-MDX-NET-Inst_HQ_4.onnx", 41 | "MDX-Net Model: UVR-MDX-NET Inst HQ 5": "UVR-MDX-NET-Inst_HQ_5.onnx", 42 | "MDX-Net Model: UVR-MDX-NET Main": "UVR_MDXNET_Main.onnx", 43 | "MDX-Net Model: UVR-MDX-NET Inst Main": "UVR-MDX-NET-Inst_Main.onnx", 44 | "MDX-Net Model: UVR-MDX-NET 1": "UVR_MDXNET_1_9703.onnx", 45 | "MDX-Net Model: UVR-MDX-NET 2": "UVR_MDXNET_2_9682.onnx", 46 | "MDX-Net Model: UVR-MDX-NET 3": "UVR_MDXNET_3_9662.onnx", 47 | "MDX-Net Model: UVR-MDX-NET Inst 1": "UVR-MDX-NET-Inst_1.onnx", 48 | "MDX-Net Model: UVR-MDX-NET Inst 2": "UVR-MDX-NET-Inst_2.onnx", 49 | "MDX-Net Model: UVR-MDX-NET Inst 3": "UVR-MDX-NET-Inst_3.onnx", 50 | "MDX-Net Model: UVR-MDX-NET Karaoke": "UVR_MDXNET_KARA.onnx", 51 | "MDX-Net Model: UVR-MDX-NET Karaoke 2": "UVR_MDXNET_KARA_2.onnx", 52 | "MDX-Net Model: UVR_MDXNET_9482": "UVR_MDXNET_9482.onnx", 53 | "MDX-Net Model: UVR-MDX-NET Voc FT": "UVR-MDX-NET-Voc_FT.onnx", 54 | "MDX-Net Model: Kim Vocal 1": "Kim_Vocal_1.onnx", 55 | "MDX-Net Model: Kim Vocal 2": "Kim_Vocal_2.onnx", 56 | "MDX-Net Model: Kim Inst": "Kim_Inst.onnx", 57 | "MDX-Net Model: Reverb HQ By FoxJoy": "Reverb_HQ_By_FoxJoy.onnx", 58 | "MDX-Net Model: UVR-MDX-NET Crowd HQ 1 By Aufr33": "UVR-MDX-NET_Crowd_HQ_1.onnx", 59 | "MDX-Net Model: kuielab_a_vocals": "kuielab_a_vocals.onnx", 60 | "MDX-Net Model: kuielab_a_other": "kuielab_a_other.onnx", 61 | "MDX-Net Model: kuielab_a_bass": "kuielab_a_bass.onnx", 62 | "MDX-Net Model: kuielab_a_drums": "kuielab_a_drums.onnx", 63 | "MDX-Net Model: kuielab_b_vocals": "kuielab_b_vocals.onnx", 64 | "MDX-Net Model: kuielab_b_other": "kuielab_b_other.onnx", 65 | "MDX-Net Model: kuielab_b_bass": "kuielab_b_bass.onnx", 66 | "MDX-Net Model: kuielab_b_drums": "kuielab_b_drums.onnx" 67 | }, 68 | 69 | "demucs_download_list":{ 70 | 71 | "Demucs v4: htdemucs_ft":{ 72 | "f7e0c4bc-ba3fe64a.th":"https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/f7e0c4bc-ba3fe64a.th", 73 | "d12395a8-e57c48e6.th":"https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/d12395a8-e57c48e6.th", 74 | "92cfc3b6-ef3bcb9c.th":"https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/92cfc3b6-ef3bcb9c.th", 75 | "04573f0d-f3cf25b2.th":"https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/04573f0d-f3cf25b2.th", 76 | "htdemucs_ft.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/htdemucs_ft.yaml" 77 | }, 78 | 79 | "Demucs v4: htdemucs":{ 80 | "955717e8-8726e21a.th": "https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/955717e8-8726e21a.th", 81 | "htdemucs.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/htdemucs.yaml" 82 | }, 83 | 84 | "Demucs v4: hdemucs_mmi":{ 85 | "75fc33f5-1941ce65.th": "https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/75fc33f5-1941ce65.th", 86 | "hdemucs_mmi.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/hdemucs_mmi.yaml" 87 | }, 88 | "Demucs v4: htdemucs_6s":{ 89 | "5c90dfd2-34c22ccb.th": "https://dl.fbaipublicfiles.com/demucs/hybrid_transformer/5c90dfd2-34c22ccb.th", 90 | "htdemucs_6s.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/htdemucs_6s.yaml" 91 | }, 92 | "Demucs v3: mdx":{ 93 | "0d19c1c6-0f06f20e.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/0d19c1c6-0f06f20e.th", 94 | "7ecf8ec1-70f50cc9.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/7ecf8ec1-70f50cc9.th", 95 | "c511e2ab-fe698775.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/c511e2ab-fe698775.th", 96 | "7d865c68-3d5dd56b.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/7d865c68-3d5dd56b.th", 97 | "mdx.yaml": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx.yaml" 98 | }, 99 | 100 | "Demucs v3: mdx_q":{ 101 | "6b9c2ca1-3fd82607.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/6b9c2ca1-3fd82607.th", 102 | "b72baf4e-8778635e.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/b72baf4e-8778635e.th", 103 | "42e558d4-196e0e1b.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/42e558d4-196e0e1b.th", 104 | "305bc58f-18378783.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/305bc58f-18378783.th", 105 | "mdx_q.yaml": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx_q.yaml" 106 | }, 107 | 108 | "Demucs v3: mdx_extra":{ 109 | "e51eebcc-c1b80bdd.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/e51eebcc-c1b80bdd.th", 110 | "a1d90b5c-ae9d2452.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/a1d90b5c-ae9d2452.th", 111 | "5d2d6c55-db83574e.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/5d2d6c55-db83574e.th", 112 | "cfa93e08-61801ae1.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/cfa93e08-61801ae1.th", 113 | "mdx_extra.yaml": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx_extra.yaml" 114 | }, 115 | 116 | "Demucs v3: mdx_extra_q": { 117 | "83fc094f-4a16d450.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/83fc094f-4a16d450.th", 118 | "464b36d7-e5a9386e.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/464b36d7-e5a9386e.th", 119 | "14fc6a69-a89dd0ee.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/14fc6a69-a89dd0ee.th", 120 | "7fd6ef75-a905dd85.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/7fd6ef75-a905dd85.th", 121 | "mdx_extra_q.yaml": "https://raw.githubusercontent.com/facebookresearch/demucs/main/demucs/remote/mdx_extra_q.yaml" 122 | }, 123 | 124 | "Demucs v3: UVR Model":{ 125 | "ebf34a2db.th": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/ebf34a2db.th", 126 | "UVR_Demucs_Model_1.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/UVR_Demucs_Model_1.yaml" 127 | }, 128 | 129 | "Demucs v3: repro_mdx_a":{ 130 | "9a6b4851-03af0aa6.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/9a6b4851-03af0aa6.th", 131 | "1ef250f1-592467ce.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/1ef250f1-592467ce.th", 132 | "fa0cb7f9-100d8bf4.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/fa0cb7f9-100d8bf4.th", 133 | "902315c2-b39ce9c9.th": "https://dl.fbaipublicfiles.com/demucs/mdx_final/902315c2-b39ce9c9.th", 134 | "repro_mdx_a.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/repro_mdx_a.yaml" 135 | }, 136 | 137 | "Demucs v3: repro_mdx_a_time_only":{ 138 | "9a6b4851-03af0aa6.th":"https://dl.fbaipublicfiles.com/demucs/mdx_final/9a6b4851-03af0aa6.th", 139 | "1ef250f1-592467ce.th":"https://dl.fbaipublicfiles.com/demucs/mdx_final/1ef250f1-592467ce.th", 140 | "repro_mdx_a_time_only.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/repro_mdx_a_time_only.yaml" 141 | }, 142 | 143 | "Demucs v3: repro_mdx_a_hybrid_only":{ 144 | "fa0cb7f9-100d8bf4.th":"https://dl.fbaipublicfiles.com/demucs/mdx_final/fa0cb7f9-100d8bf4.th", 145 | "902315c2-b39ce9c9.th":"https://dl.fbaipublicfiles.com/demucs/mdx_final/902315c2-b39ce9c9.th", 146 | "repro_mdx_a_hybrid_only.yaml": "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/repro_mdx_a_hybrid_only.yaml" 147 | }, 148 | 149 | "Demucs v2: demucs": { 150 | "demucs-e07c671f.th": "https://dl.fbaipublicfiles.com/demucs/v3.0/demucs-e07c671f.th" 151 | }, 152 | 153 | "Demucs v2: demucs_extra": { 154 | "demucs_extra-3646af93.th":"https://dl.fbaipublicfiles.com/demucs/v3.0/demucs_extra-3646af93.th" 155 | }, 156 | 157 | "Demucs v2: demucs48_hq": { 158 | "demucs48_hq-28a1282c.th":"https://dl.fbaipublicfiles.com/demucs/v3.0/demucs48_hq-28a1282c.th" 159 | }, 160 | 161 | "Demucs v2: tasnet": { 162 | "tasnet-beb46fac.th":"https://dl.fbaipublicfiles.com/demucs/v3.0/tasnet-beb46fac.th" 163 | }, 164 | 165 | "Demucs v2: tasnet_extra": { 166 | "tasnet_extra-df3777b2.th":"https://dl.fbaipublicfiles.com/demucs/v3.0/tasnet_extra-df3777b2.th" 167 | }, 168 | 169 | "Demucs v2: demucs_unittest": { 170 | "demucs_unittest-09ebc15f.th":"https://dl.fbaipublicfiles.com/demucs/v3.0/demucs_unittest-09ebc15f.th" 171 | }, 172 | 173 | "Demucs v1: demucs": { 174 | "demucs.th":"https://dl.fbaipublicfiles.com/demucs/v2.0/demucs.th" 175 | }, 176 | 177 | "Demucs v1: demucs_extra": { 178 | "demucs_extra.th":"https://dl.fbaipublicfiles.com/demucs/v2.0/demucs_extra.th" 179 | }, 180 | 181 | "Demucs v1: light": { 182 | "light.th":"https://dl.fbaipublicfiles.com/demucs/v2.0/light.th" 183 | }, 184 | 185 | "Demucs v1: light_extra": { 186 | "light_extra.th":"https://dl.fbaipublicfiles.com/demucs/v2.0/light_extra.th" 187 | }, 188 | 189 | "Demucs v1: tasnet": { 190 | "tasnet.th":"https://dl.fbaipublicfiles.com/demucs/v2.0/tasnet.th" 191 | }, 192 | 193 | "Demucs v1: tasnet_extra": { 194 | "tasnet_extra.th":"https://dl.fbaipublicfiles.com/demucs/v2.0/tasnet_extra.th" 195 | } 196 | }, 197 | 198 | "mdx_download_vip_list": { 199 | "MDX-Net Model VIP: UVR-MDX-NET_Main_340": "UVR-MDX-NET_Main_340.onnx", 200 | "MDX-Net Model VIP: UVR-MDX-NET_Main_390": "UVR-MDX-NET_Main_390.onnx", 201 | "MDX-Net Model VIP: UVR-MDX-NET_Main_406": "UVR-MDX-NET_Main_406.onnx", 202 | "MDX-Net Model VIP: UVR-MDX-NET_Main_427": "UVR-MDX-NET_Main_427.onnx", 203 | "MDX-Net Model VIP: UVR-MDX-NET_Main_438": "UVR-MDX-NET_Main_438.onnx", 204 | "MDX-Net Model VIP: UVR-MDX-NET_Inst_82_beta": "UVR-MDX-NET_Inst_82_beta.onnx", 205 | "MDX-Net Model VIP: UVR-MDX-NET_Inst_90_beta": "UVR-MDX-NET_Inst_90_beta.onnx", 206 | "MDX-Net Model VIP: UVR-MDX-NET_Inst_187_beta": "UVR-MDX-NET_Inst_187_beta.onnx", 207 | "MDX-Net Model VIP: UVR-MDX-NET-Inst_full_292": "UVR-MDX-NET-Inst_full_292.onnx" 208 | }, 209 | 210 | "mdx23_download_list": { 211 | "MDX23C Model: MDX23C_D1581": {"MDX23C_D1581.ckpt":"model_2_stem_061321.yaml"} 212 | }, 213 | 214 | "mdx23c_download_list": { 215 | "MDX23C Model: MDX23C-InstVoc HQ": {"MDX23C-8KFFT-InstVoc_HQ.ckpt":"model_2_stem_full_band_8k.yaml"} 216 | }, 217 | 218 | "roformer_download_list": { 219 | "Roformer Model: BS-Roformer-Viperx-1297": {"model_bs_roformer_ep_317_sdr_12.9755.ckpt":"model_bs_roformer_ep_317_sdr_12.9755.yaml"}, 220 | "Roformer Model: BS-Roformer-Viperx-1296": {"model_bs_roformer_ep_368_sdr_12.9628.ckpt":"model_bs_roformer_ep_368_sdr_12.9628.yaml"}, 221 | "Roformer Model: BS-Roformer-Viperx-1053": {"model_bs_roformer_ep_937_sdr_10.5309.ckpt":"model_bs_roformer_ep_937_sdr_10.5309.yaml"}, 222 | "Roformer Model: Mel-Roformer-Viperx-1143": {"model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt":"model_mel_band_roformer_ep_3005_sdr_11.4360.yaml"}, 223 | "Roformer Model: MelBand Roformer Kim | Inst V1 by Unwa": {"melband_roformer_inst_v1.ckpt":"config_melbandroformer_inst.yaml"}, 224 | "Roformer Model: MelBand Roformer Kim | Inst V2 by Unwa": {"melband_roformer_inst_v2.ckpt":"config_melbandroformer_inst_v2.yaml"}, 225 | "Roformer Model: MelBand Roformer Kim | InstVoc Duality V1 by Unwa": {"melband_roformer_instvoc_duality_v1.ckpt":"config_melbandroformer_instvoc_duality.yaml"}, 226 | "Roformer Model: MelBand Roformer Kim | InstVoc Duality V2 by Unwa": {"melband_roformer_instvox_duality_v2.ckpt":"config_melbandroformer_instvoc_duality.yaml"} 227 | }, 228 | 229 | "other_network_list": { 230 | "Roformer Model: BS-Roformer-Viperx-1297": {"model_bs_roformer_ep_317_sdr_12.9755.ckpt":"https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/model_bs_roformer_ep_317_sdr_12.9755.ckpt", 231 | "model_bs_roformer_ep_317_sdr_12.9755.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/model_bs_roformer_ep_317_sdr_12.9755.yaml"}, 232 | "Roformer Model: BS-Roformer-Viperx-1296": {"model_bs_roformer_ep_368_sdr_12.9628.ckpt":"https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/model_bs_roformer_ep_368_sdr_12.9628.ckpt", 233 | "model_bs_roformer_ep_368_sdr_12.9628.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/model_bs_roformer_ep_368_sdr_12.9628.yaml"}, 234 | "Roformer Model: BS-Roformer-Viperx-1053": {"model_bs_roformer_ep_937_sdr_10.5309.ckpt":"https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/model_bs_roformer_ep_937_sdr_10.5309.ckpt", 235 | "model_bs_roformer_ep_937_sdr_10.5309.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/model_bs_roformer_ep_937_sdr_10.5309.yaml"}, 236 | "Roformer Model: Mel-Roformer-Viperx-1143": {"model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt":"https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt", 237 | "model_mel_band_roformer_ep_3005_sdr_11.4360.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/model_mel_band_roformer_ep_3005_sdr_11.4360.yaml"}, 238 | "Roformer Model: MelBand Roformer Kim | Inst V1 by Unwa": {"melband_roformer_inst_v1.ckpt":"https://huggingface.co/pcunwa/Mel-Band-Roformer-Inst/resolve/main/melband_roformer_inst_v1.ckpt", 239 | "config_melbandroformer_inst.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_melbandroformer_inst.yaml"}, 240 | "Roformer Model: MelBand Roformer Kim | Inst V2 by Unwa": {"melband_roformer_inst_v2.ckpt":"https://huggingface.co/pcunwa/Mel-Band-Roformer-Inst/resolve/main/melband_roformer_inst_v2.ckpt", 241 | "config_melbandroformer_inst_v2.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_melbandroformer_inst_v2.yaml"}, 242 | "Roformer Model: MelBand Roformer Kim | InstVoc Duality V1 by Unwa": {"melband_roformer_instvoc_duality_v1.ckpt":"https://huggingface.co/pcunwa/Mel-Band-Roformer-InstVoc-Duality/resolve/main/melband_roformer_instvoc_duality_v1.ckpt", 243 | "config_melbandroformer_instvoc_duality.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_melbandroformer_instvoc_duality.yaml"}, 244 | "Roformer Model: MelBand Roformer Kim | InstVoc Duality V2 by Unwa": {"melband_roformer_instvox_duality_v2.ckpt":"https://huggingface.co/pcunwa/Mel-Band-Roformer-InstVoc-Duality/resolve/main/melband_roformer_instvox_duality_v2.ckpt", 245 | "config_melbandroformer_instvoc_duality.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_melbandroformer_instvoc_duality.yaml"}, 246 | "Roformer Model: MelBand Roformer Kim | Inst V1 (E) by Unwa": {"inst_v1e.ckpt":"https://huggingface.co/pcunwa/Mel-Band-Roformer-Inst/resolve/main/inst_v1e.ckpt", 247 | "config_melbandroformer_inst.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_melbandroformer_inst.yaml"}, 248 | "Roformer Model: MelBand Roformer Kim": {"MelBandRoformer.ckpt":"https://huggingface.co/KimberleyJSN/melbandroformer/resolve/main/MelBandRoformer.ckpt", 249 | "config_vocals_mel_band_roformer_kim.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_vocals_mel_band_roformer_kim.yaml"} 250 | }, 251 | 252 | "other_network_list_new": { 253 | 254 | "Roformer Model: BS-Roformer-Inst-EXP-Value-Residual | (by Unwa)": {"BS_Inst_EXP_VRL.ckpt":"https://huggingface.co/pcunwa/BS-Roformer-Inst-EXP-Value-Residual/resolve/main/BS_Inst_EXP_VRL.ckpt", 255 | "BS_Inst_EXP_VRL.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/BS_Inst_EXP_VRL.yaml"}, 256 | "Roformer Model: Karaoke MelBand Roformer | (by aufr33 & viperx)": {"mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt":"https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt", 257 | "config_mel_band_roformer_karaoke.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_mel_band_roformer_karaoke.yaml"}, 258 | "Roformer Model: BS Roformer Dereverb | (anvuew edition)": {"deverb_bs_roformer_8_256dim_8depth.ckpt":"https://huggingface.co/anvuew/deverb_bs_roformer/resolve/main/deverb_bs_roformer_8_256dim_8depth.ckpt", 259 | "deverb_bs_roformer_8_256dim_8depth.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/deverb_bs_roformer_8_256dim_8depth.yaml"}, 260 | "Bandit Plus: Cinematic Bandit Plus | (by kwatcharasupat)": {"model_bandit_plus_dnr_sdr_11.47.ckpt":"https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/model_bandit_plus_dnr_sdr_11.47.ckpt", 261 | "config_dnr_bandit_bsrnn_multi_mus64.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_dnr_bandit_bsrnn_multi_mus64.yaml"}, 262 | "Bandit v2: Cinematic Bandit v2 Multilang | (by kwatcharasupat)": {"checkpoint-multi_fixed.ckpt":"https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/checkpoint-multi_fixed.ckpt", 263 | "config_dnr_bandit_v2_mus64.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_dnr_bandit_v2_mus64.yaml"}, 264 | "SCnet: 4-stems SCNet_MUSDB18 | (by starrytong)": {"scnet_checkpoint_musdb18.ckpt":"https://github.com/ZFTurbo/Music-Source-Separation-Training/releases/download/v.1.0.6/scnet_checkpoint_musdb18.ckpt", 265 | "config_musdb18_scnet.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_musdb18_scnet.yaml"}, 266 | "SCnet: 4-stems SCNet Large | (by starrytong)": {"SCNet-large_starrytong_fixed.ckpt":"https://github.com/ZFTurbo/Music-Source-Separation-Training/releases/download/v1.0.9/SCNet-large_starrytong_fixed.ckpt", 267 | "config_musdb18_scnet_large_starrytong.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_musdb18_scnet_large_starrytong.yaml"}, 268 | "SCnet: 4-stems SCNet Large": {"model_scnet_sdr_9.3244.ckpt":"https://github.com/ZFTurbo/Music-Source-Separation-Training/releases/download/v1.0.8/model_scnet_sdr_9.3244.ckpt", 269 | "config_musdb18_scnet_large.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_musdb18_scnet_large.yaml"}, 270 | "SCnet: 4-stems SCNet-XL": {"model_scnet_ep_54_sdr_9.8051.ckpt":"https://github.com/ZFTurbo/Music-Source-Separation-Training/releases/download/v1.0.13/model_scnet_ep_54_sdr_9.8051.ckpt", 271 | "config_musdb18_scnet_xl.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_musdb18_scnet_xl.yaml"}, 272 | "MDX23C Model: DrumSep 6stem | (by aufr33 & jarredou)": {"aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.ckpt":"https://github.com/jarredou/models/releases/download/aufr33-jarredou_MDX23C_DrumSep_model_v0.1/aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.ckpt", 273 | "aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml"}, 274 | "MDX23C Model: Phantom Centre extraction | (by wesleyr36)": {"model_mdx23c_ep_271_l1_freq_72.2383.ckpt":"https://github.com/ZFTurbo/Music-Source-Separation-Training/releases/download/v1.0.10/model_mdx23c_ep_271_l1_freq_72.2383.ckpt", 275 | "config_mdx23c_similarity.yaml":"https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/mdx_c_configs/config_mdx23c_similarity.yaml"} 276 | }, 277 | 278 | "mdx23c_download_vip_list": { 279 | "MDX23C Model VIP: MDX23C_D1581": {"MDX23C_D1581.ckpt":"model_2_stem_061321.yaml"}, 280 | "MDX23C Model VIP: MDX23C-InstVoc HQ 2": {"MDX23C-8KFFT-InstVoc_HQ_2.ckpt":"model_2_stem_full_band_8k.yaml"} 281 | }, 282 | 283 | "roll_back_win_url": "https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.6/UVR_v5.6.0_setup.exe", 284 | "roll_back_macos_x86_64_url": "https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.6/Ultimate_Vocal_Remover_v5_6_MacOS_x86_64.dmg", 285 | "roll_back_macos_arm64_url": "https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.6/Ultimate_Vocal_Remover_v5_6_MacOS_arm64.dmg", 286 | 287 | "vr_download_vip_list": [], 288 | "demucs_download_vip_list": [] 289 | } 290 | --------------------------------------------------------------------------------