Delete assets

assets/calculate-model-hashes.py

@@ -1,21 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-import sys
-import json
-import hashlib
-import requests
-import model_tools as mt
-
-MODEL_CACHE_PATH = "/tmp/audio-separator-models"
-VR_MODEL_DATA_LOCAL_PATH = f"{MODEL_CACHE_PATH}/vr_model_data.json"
-MDX_MODEL_DATA_LOCAL_PATH = f"{MODEL_CACHE_PATH}/mdx_model_data.json"
-
-MODEL_DATA_URL_PREFIX = "https://raw.githubusercontent.com/TRvlvr/application_data/main"
-VR_MODEL_DATA_URL = f"{MODEL_DATA_URL_PREFIX}/vr_model_data/model_data_new.json"
-MDX_MODEL_DATA_URL = f"{MODEL_DATA_URL_PREFIX}/mdx_model_data/model_data_new.json"
-
-OUTPUT_PATH = f"{MODEL_CACHE_PATH}/model_hashes.json"
-
-if __name__ == "__main__":
-    mt.iterate_and_hash(MODEL_CACHE_PATH)

assets/delete_duplicate_models.py

@@ -1,8 +0,0 @@
-import os
-import hashlib
-from collections import defaultdict
-import model_tools as mt
-
-if __name__ == "__main__":
-    print(f"Scanning directory: {os.getcwd()}")
-    mt.find_and_remove_duplicates()

assets/download_models.py

@@ -1,26 +0,0 @@
-import requests
-import os
-import argparse
-from huggingface_hub import snapshot_download
-from model_tools import download_files_from_txt, download_hf_repo
-
-REPO_OWNER = "lainlives"
-REPO_NAME = "audio-separator-models"
-repo_type = "model"
-
-
-if __name__ == "__main__":
-    token = os.getenv("HF_TOKEN")
-    repo_id = f"{REPO_OWNER}/{REPO_NAME}"
-    parser = argparse.ArgumentParser(description="Model Download Tool")
-    local_dir = os.getcwd()
-    parser.add_argument(
-        "--fromtxt",
-        action="store_true",
-        help="Download or process based on a text file instead of cloning Hugging Face repo",
-    )
-    args = parser.parse_args()
-    if args.fromtxt:
-        download_files_from_txt("assets/links.txt", local_dir)
-    else:
-        download_hf_repo(repo_id, local_dir, token)

assets/json_link_processor.py

@@ -1,7 +0,0 @@
-import json
-import urllib.request
-import os
-import model_tools as mt
-
-if __name__ == "__main__":
-    mt.get_links_from_json("models.json")

assets/list_duplicate_remove.py

@@ -1,7 +0,0 @@
-from model_tools import remove_duplicate_lines
-
-input_filename = "file.txt"
-output_filename = "processed_links.txt"
-
-if __name__ == "__main__":
-    remove_duplicate_lines(input_filename, output_filename)

assets/luvr5-ui-models.txt

@@ -1,248 +0,0 @@
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_aspiration_mel_band_roformer.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_aspiration_mel_band_roformer.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_bs_roformer_instrumental_resurrection_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_bs_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_bs_roformer_vocals_resurrection_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_bs_roformer_vocals_revive_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_bs_roformer_vocals_revive_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_bs_roformer_vocals_revive_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_chorus_male_female_bs_roformer.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_chorus_male_female_bs_roformer.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_dereverb-echo_mel_band_roformer.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_dereverb-echo_mel_band_roformer_sdr_13.4843_v2.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_dereverb_echo_mel_band_roformer_v2.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_dereverb_echo_mel_band_roformer_v2.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_dereverb_echo_mel_band_roformer_v2.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_dereverb_mdx23c.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_drumsep_mdx23c.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_bleed_suppressor_v1.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_becruily.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_instrumental_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_karaoke_becruily.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_karaoke_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_karaoke_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_kim_ft_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_kim_ft_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_kim_ft_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_kim_ft_unwa.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocal_fullness_aname.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_becruily.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_mel_band_roformer_vocals_gabox.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melband_roformer_big_beta5e.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_big_beta4.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_big_beta6.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_big_beta6x.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_inst.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_inst.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_inst.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_inst.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_inst_v2.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_instvoc_duality.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_melbandroformer_instvoc_duality.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_vocals_mel_band_roformer_big_v1_ft.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_vocals_mel_band_roformer_ft.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_vocals_mel_band_roformer_ft.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_vocals_mel_band_roformer_ft.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/config_vocals_mel_band_roformer_ft.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/denoise_mel_band_roformer_aufr33_aggr_sdr_27.9768_config.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/denoise_mel_band_roformer_aufr33_sdr_27.9959_config.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_mel_band_roformer_anvuew.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_mel_band_roformer_anvuew.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_mel_band_roformer_anvuew.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/deverb_bs_roformer_8_384dim_10depth_config.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_crowd_aufr33_viperx_sdr_8.7144_config.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956_config.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_2_stem_061321.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_2_stem_full_band_8k.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_2_stem_full_band_8k.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_bs_roformer_ep_317_sdr_12.9755.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_bs_roformer_ep_368_sdr_12.9628.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_bs_roformer_ep_937_sdr_10.5309.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_mel_band_roformer_ep_3005_sdr_11.4360.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/vocals_mel_band_roformer.yaml
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/10_SP-UVR-2B-32000-1.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/11_SP-UVR-2B-32000-2.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/12_SP-UVR-3B-44100.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/13_SP-UVR-4B-44100-1.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/14_SP-UVR-4B-44100-2.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/15_SP-UVR-MID-44100-1.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/16_SP-UVR-MID-44100-2.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/17_HP-Wind_Inst-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/1_HP-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/2_HP-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/3_HP-Vocal-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/4_HP-Vocal-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/5_HP-Karaoke-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/6_HP-Karaoke-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/7_HP2-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/8_HP2-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/9_HP2-UVR.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MGM_HIGHEND_v4.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MGM_LOWEND_A_v4.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MGM_LOWEND_B_v4.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MGM_MAIN_v4.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-BVE-4B_SN-44100-1.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-BVE-4B_SN-44100-2.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-De-Echo-Aggressive.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-De-Echo-Normal.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-De-Reverb-aufr33-jarredou.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-DeEcho-DeReverb.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-DeNoise-Lite.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-DeNoise.pth
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MDX23C-8KFFT-InstVoc_HQ.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MDX23C-8KFFT-InstVoc_HQ_2.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MDX23C-De-Reverb-aufr33-jarredou.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MDX23C-DrumSep-aufr33-jarredou.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MDX23C_D1581.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MelBandRoformerBigSYHFTV1.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MelBandRoformerSYHFT.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MelBandRoformerSYHFTV2.5.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MelBandRoformerSYHFTV2.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/MelBandRoformerSYHFTV3Epsilon.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/aspiration_mel_band_roformer_sdr_18.9845.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/bs_roformer_instrumental_resurrection_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/bs_roformer_male_female_by_aufr33_sdr_7.2889.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/bs_roformer_vocals_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/bs_roformer_vocals_resurrection_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/bs_roformer_vocals_revive_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/bs_roformer_vocals_revive_v2_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/bs_roformer_vocals_revive_v3e_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/denoise_mel_band_roformer_aufr33_aggr_sdr_27.9768.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/denoise_mel_band_roformer_aufr33_sdr_27.9959.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb-echo_mel_band_roformer_sdr_10.0169.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb-echo_mel_band_roformer_sdr_13.4843_v2.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_big_mbr_ep_362.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_echo_mbr_fused.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_mel_band_roformer_anvuew_sdr_19.1729.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_mel_band_roformer_less_aggressive_anvuew_sdr_18.8050.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_mel_band_roformer_mono_anvuew.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/dereverb_super_big_mbr_ep_346.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/deverb_bs_roformer_8_384dim_10depth.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_bleed_suppressor_v1.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_crowd_aufr33_viperx_sdr_8.7144.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_denoise_debleed_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_2_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_3_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_becruily.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_bleedless_v1_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_bleedless_v2_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_bleedless_v3_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_fullness_noise_v4_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_fullness_v1_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_fullness_v2_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_fullness_v3_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_fv7z_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_fv8_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_fvx_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv5_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv5n_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv6_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv6n_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv7_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv7n_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv8_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_instrumental_instv8n_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_karaoke_becruily.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_karaoke_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_karaoke_gabox_v2.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_kim_ft2_bleedless_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_kim_ft2_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_kim_ft3_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_kim_ft_unwa.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocal_fullness_aname.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_becruily.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_fv1_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_fv2_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_fv3_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_fv4_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_fv5_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_fv6_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/mel_band_roformer_vocals_v2_gabox.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_big_beta4.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_big_beta5e.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_big_beta6.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_big_beta6x.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_inst_v1.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_inst_v1_plus.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_inst_v1e.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_inst_v1e_plus.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_inst_v2.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_instvoc_duality_v1.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/melband_roformer_instvox_duality_v2.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_bs_roformer_ep_317_sdr_12.9755.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_bs_roformer_ep_368_sdr_12.9628.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_bs_roformer_ep_937_sdr_10.5309.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_chorus_bs_roformer_ep_267_sdr_24.1275.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/vocals_mel_band_roformer.ckpt
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/Kim_Inst.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/Kim_Vocal_1.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/Kim_Vocal_2.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/Reverb_HQ_By_FoxJoy.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_1.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_2.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_3.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_HQ_1.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_HQ_2.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_HQ_3.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_HQ_4.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_HQ_5.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_Main.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Inst_full_292.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET-Voc_FT.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Crowd_HQ_1.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Inst_187_beta.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Inst_82_beta.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Inst_90_beta.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Main_340.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Main_390.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Main_406.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Main_427.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR-MDX-NET_Main_438.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR_MDXNET_1_9703.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR_MDXNET_2_9682.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR_MDXNET_3_9662.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR_MDXNET_9482.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR_MDXNET_KARA.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR_MDXNET_KARA_2.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/UVR_MDXNET_Main.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_a_bass.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_a_drums.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_a_other.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_a_vocals.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_b_bass.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_b_drums.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_b_other.onnx
-https://huggingface.co/lainlives/audio-separator-models/resolve/main/kuielab_b_vocals.onnx

assets/model_data/mdx_model_data.json

@@ -1,384 +0,0 @@
-{
-    "0ddfc0eb5792638ad5dc27850236c246": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Vocals"
-    },
-    "26d308f91f3423a67dc69a6d12a8793d": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 9,
-        "mdx_n_fft_scale_set": 8192,
-        "primary_stem": "Other"
-    },
-    "2cdd429caac38f0194b133884160f2c6": {
-        "compensate": 1.045,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "2f5501189a2f6db6349916fabe8c90de": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Vocals",
-        "is_karaoke": true
-    },
-    "398580b6d5d973af3120df54cee6759d": {
-        "compensate": 1.75,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "488b3e6f8bd3717d9d7c428476be2d75": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "4910e7827f335048bdac11fa967772f9": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 7,
-        "mdx_n_fft_scale_set": 4096,
-        "primary_stem": "Drums"
-    },
-    "53c4baf4d12c3e6c3831bb8f5b532b93": {
-        "compensate": 1.043,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "5d343409ef0df48c7d78cce9f0106781": {
-        "compensate": 1.075,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "5f6483271e1efb9bfb59e4a3e6d4d098": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 9,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Vocals"
-    },
-    "65ab5919372a128e4167f5e01a8fda85": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 8192,
-        "primary_stem": "Other"
-    },
-    "6703e39f36f18aa7855ee1047765621d": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 9,
-        "mdx_n_fft_scale_set": 16384,
-        "primary_stem": "Bass"
-    },
-    "6b31de20e84392859a3d09d43f089515": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Vocals"
-    },
-    "867595e9de46f6ab699008295df62798": {
-        "compensate": 1.03,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "a3cd63058945e777505c01d2507daf37": {
-        "compensate": 1.03,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Vocals"
-    },
-    "b33d9b3950b6cbf5fe90a32608924700": {
-        "compensate": 1.03,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "c3b29bdce8c4fa17ec609e16220330ab": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 16384,
-        "primary_stem": "Bass"
-    },
-    "ceed671467c1f64ebdfac8a2490d0d52": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "d2a1376f310e4f7fa37fb9b5774eb701": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "d7bff498db9324db933d913388cba6be": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Vocals"
-    },
-    "d94058f8c7f1fae4164868ae8ae66b20": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Vocals"
-    },
-    "dc41ede5961d50f277eb846db17f5319": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 9,
-        "mdx_n_fft_scale_set": 4096,
-        "primary_stem": "Drums"
-    },
-    "e5572e58abf111f80d8241d2e44e7fa4": {
-        "compensate": 1.028,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "e7324c873b1f615c35c1967f912db92a": {
-        "compensate": 1.03,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "1c56ec0224f1d559c42fd6fd2a67b154": {
-        "compensate": 1.025,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 5120,
-        "primary_stem": "Instrumental"
-    },
-    "f2df6d6863d8f435436d8b561594ff49": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "b06327a00d5e5fbc7d96e1781bbdb596": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Instrumental"
-    },
-    "94ff780b977d3ca07c7a343dab2e25dd": {
-        "compensate": 1.039,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Instrumental"
-    },
-    "73492b58195c3b52d34590d5474452f6": {
-        "compensate": 1.043,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "970b3f9492014d18fefeedfe4773cb42": {
-        "compensate": 1.009,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "1d64a6d2c30f709b8c9b4ce1366d96ee": {
-        "compensate": 1.065,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 5120,
-        "primary_stem": "Instrumental",
-        "is_karaoke": true
-    },
-    "203f2a3955221b64df85a41af87cf8f0": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Instrumental"
-    },
-    "291c2049608edb52648b96e27eb80e95": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Instrumental"
-    },
-    "ead8d05dab12ec571d67549b3aab03fc": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Instrumental"
-    },
-    "cc63408db3d80b4d85b0287d1d7c9632": {
-        "compensate": 1.033,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Instrumental"
-    },
-    "cd5b2989ad863f116c855db1dfe24e39": {
-        "compensate": 1.035,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 9,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Reverb"
-    },
-    "55657dd70583b0fedfba5f67df11d711": {
-        "compensate": 1.022,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 6144,
-        "primary_stem": "Instrumental"
-    },
-    "b6bccda408a436db8500083ef3491e8b": {
-        "compensate": 1.02,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "8a88db95c7fb5dbe6a095ff2ffb428b1": {
-        "compensate": 1.026,
-        "mdx_dim_f_set": 2048,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 5120,
-        "primary_stem": "Instrumental"
-    },
-    "b78da4afc6512f98e4756f5977f5c6b9": {
-        "compensate": 1.021,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Instrumental"
-    },
-    "77d07b2667ddf05b9e3175941b4454a0": {
-        "compensate": 1.021,
-        "mdx_dim_f_set": 3072,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 7680,
-        "primary_stem": "Vocals"
-    },
-    "0f2a6bc5b49d87d64728ee40e23bceb1": {
-        "compensate": 1.019,
-        "mdx_dim_f_set": 2560,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 5120,
-        "primary_stem": "Instrumental"
-    },
-    "b02be2d198d4968a121030cf8950b492": {
-        "compensate": 1.020,
-        "mdx_dim_f_set": 2560,
-        "mdx_dim_t_set": 8,
-        "mdx_n_fft_scale_set": 5120,
-        "primary_stem": "No Crowd"
-    },
-    "2154254ee89b2945b97a7efed6e88820": {
-        "config_yaml": "model_2_stem_061321.yaml"
-    },
-    "063aadd735d58150722926dcbf5852a9": {
-        "config_yaml": "model_2_stem_061321.yaml"
-    },
-    "c09f714d978b41d718facfe3427e6001": {
-        "config_yaml": "model_2_stem_061321.yaml"
-    },
-    "fe96801369f6a148df2720f5ced88c19": {
-        "config_yaml": "model3.yaml"
-    },
-    "02e8b226f85fb566e5db894b9931c640": {
-        "config_yaml": "model2.yaml"
-    },
-    "e3de6d861635ab9c1d766149edd680d6": {
-        "config_yaml": "model1.yaml"
-    },
-    "3f2936c554ab73ce2e396d54636bd373": {
-        "config_yaml": "modelB.yaml"
-    },
-    "890d0f6f82d7574bca741a9e8bcb8168": {
-        "config_yaml": "modelB.yaml"
-    },
-    "63a3cb8c37c474681049be4ad1ba8815": {
-        "config_yaml": "modelB.yaml"
-    },
-    "a7fc5d719743c7fd6b61bd2b4d48b9f0": {
-        "config_yaml": "modelA.yaml"
-    },
-    "3567f3dee6e77bf366fcb1c7b8bc3745": {
-        "config_yaml": "modelA.yaml"
-    },
-    "a28f4d717bd0d34cd2ff7a3b0a3d065e": {
-        "config_yaml": "modelA.yaml"
-    },
-    "c9971a18da20911822593dc81caa8be9": {
-        "config_yaml": "sndfx.yaml"
-    },
-    "57d94d5ed705460d21c75a5ac829a605": {
-        "config_yaml": "sndfx.yaml"
-    },
-    "e7a25f8764f25a52c1b96c4946e66ba2": {
-        "config_yaml": "sndfx.yaml"
-    },
-    "104081d24e37217086ce5fde09147ee1": {
-        "config_yaml": "model_2_stem_061321.yaml"
-    },
-    "1e6165b601539f38d0a9330f3facffeb": {
-        "config_yaml": "model_2_stem_061321.yaml"
-    },
-    "fe0108464ce0d8271be5ab810891bd7c": {
-        "config_yaml": "model_2_stem_full_band.yaml"
-    },
-    "e9b82ec90ee56c507a3a982f1555714c": {
-        "config_yaml": "model_2_stem_full_band_2.yaml"
-    },
-    "99b6ceaae542265a3b6d657bf9fde79f": {
-        "config_yaml": "model_2_stem_full_band_8k.yaml"
-    },
-    "116f6f9dabb907b53d847ed9f7a9475f": {
-        "config_yaml": "model_2_stem_full_band_8k.yaml"
-    },
-    "53f707017bfcbb56f5e1bfac420d6732": {
-        "config_yaml": "model_bs_roformer_ep_317_sdr_12.9755.yaml",
-        "is_roformer": true
-    },
-    "63e41acc264bf681a73aa9f7e5f606cc": {
-        "config_yaml": "model_mel_band_roformer_ep_3005_sdr_11.4360.yaml",
-        "is_roformer": true
-    },
-    "e733736763234047587931fc35322fd9": {
-        "config_yaml": "model_bs_roformer_ep_937_sdr_10.5309.yaml",
-        "is_roformer": true
-    },
-    "d789065adfd747d6f585b27b495bcdae": {
-        "config_yaml": "model_bs_roformer_ep_368_sdr_12.9628.yaml",
-        "is_roformer": true
-    }
-}

assets/model_data/vr_model_data.json

@@ -1,137 +0,0 @@
-{
-    "0d0e6d143046b0eecc41a22e60224582": {
-        "vr_model_param": "3band_44100_mid",
-        "primary_stem": "Instrumental"
-    },
-    "18b52f873021a0af556fb4ecd552bb8e": {
-        "vr_model_param": "2band_32000",
-        "primary_stem": "Instrumental"
-    },
-    "1fc66027c82b499c7d8f55f79e64cadc": {
-        "vr_model_param": "2band_32000",
-        "primary_stem": "Instrumental"
-    },
-    "2aa34fbc01f8e6d2bf509726481e7142": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "No Piano"
-    },
-    "3e18f639b11abea7361db1a4a91c2559": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "Instrumental"
-    },
-    "570b5f50054609a17741369a35007ddd": {
-        "vr_model_param": "4band_v3",
-        "primary_stem": "Instrumental"
-    },
-    "5a6e24c1b530f2dab045a522ef89b751": {
-        "vr_model_param": "1band_sr44100_hl512",
-        "primary_stem": "Instrumental"
-    },
-    "6b5916069a49be3fe29d4397ecfd73fa": {
-        "vr_model_param": "3band_44100_msb2",
-        "primary_stem": "Instrumental",
-        "is_karaoke": true
-    },
-    "74b3bc5fa2b69f29baf7839b858bc679": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "Instrumental"
-    },
-    "827213b316df36b52a1f3d04fec89369": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "Instrumental"
-    },
-    "911d4048eee7223eca4ee0efb7d29256": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "Vocals"
-    },
-    "941f3f7f0b0341f12087aacdfef644b1": {
-        "vr_model_param": "4band_v2",
-        "primary_stem": "Instrumental"
-    },
-    "a02827cf69d75781a35c0e8a327f3195": {
-        "vr_model_param": "1band_sr33075_hl384",
-        "primary_stem": "Instrumental"
-    },
-    "b165fbff113c959dba5303b74c6484bc": {
-        "vr_model_param": "3band_44100",
-        "primary_stem": "Instrumental"
-    },
-    "b5f988cd3e891dca7253bf5f0f3427c7": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "Instrumental"
-    },
-    "b99c35723bc35cb11ed14a4780006a80": {
-        "vr_model_param": "1band_sr44100_hl1024",
-        "primary_stem": "Instrumental"
-    },
-    "ba02fd25b71d620eebbdb49e18e4c336": {
-        "vr_model_param": "3band_44100_mid",
-        "primary_stem": "Instrumental"
-    },
-    "c4476ef424d8cba65f38d8d04e8514e2": {
-        "vr_model_param": "3band_44100_msb2",
-        "primary_stem": "Instrumental"
-    },
-    "da2d37b8be2972e550a409bae08335aa": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "Vocals"
-    },
-    "db57205d3133e39df8e050b435a78c80": {
-        "vr_model_param": "4band_44100",
-        "primary_stem": "Instrumental"
-    },
-    "ea83b08e32ec2303456fe50659035f69": {
-        "vr_model_param": "4band_v3",
-        "primary_stem": "Instrumental"
-    },
-    "f6ea8473ff86017b5ebd586ccacf156b": {
-        "vr_model_param": "4band_v2_sn",
-        "primary_stem": "Instrumental",
-        "is_karaoke": true
-    },
-    "fd297a61eafc9d829033f8b987c39a3d": {
-        "vr_model_param": "1band_sr32000_hl512",
-        "primary_stem": "Instrumental"
-    },
-    "0ec76fd9e65f81d8b4fbd13af4826ed8": {
-        "vr_model_param": "4band_v3",
-        "primary_stem": "No Woodwinds"
-    },
-    "0fb9249ffe4ffc38d7b16243f394c0ff": {
-        "vr_model_param": "4band_v3",
-        "primary_stem": "No Reverb"
-    },
-    "6857b2972e1754913aad0c9a1678c753": {
-        "vr_model_param": "4band_v3",
-        "primary_stem": "No Echo",
-        "nout": 48,
-        "nout_lstm": 128
-    },
-    "f200a145434efc7dcf0cd093f517ed52": {
-        "vr_model_param": "4band_v3",
-        "primary_stem": "No Echo",
-        "nout": 48,
-        "nout_lstm": 128
-    },
-    "44c55d8b5d2e3edea98c2b2bf93071c7": {
-        "vr_model_param": "4band_v3",
-        "primary_stem": "Noise",
-        "nout": 48,
-        "nout_lstm": 128
-    },
-    "51ea8c43a6928ed3c10ef5cb2707d57b": {
-        "vr_model_param": "1band_sr44100_hl1024",
-        "primary_stem": "Noise",
-        "nout": 16,
-        "nout_lstm": 128
-    },
-    "944950a9c5963a5eb70b445d67b7068a": {
-        "vr_model_param": "4band_v3_sn",
-        "primary_stem": "Vocals",
-        "nout": 64,
-        "nout_lstm": 128,
-        "is_karaoke": false,
-        "is_bv_model": true,
-        "is_bv_model_rebalanced": 0.9
-    }
-}

assets/model_tools.py

@@ -1,380 +0,0 @@
-import hashlib
-import json
-import os
-import sys
-import subprocess
-import requests
-from huggingface_hub import HfApi, snapshot_download
-import hashlib
-from collections import defaultdict
-
-
-from concurrent.futures import ThreadPoolExecutor
-
-def calculate_file_hash(filepath, block_size=65536):
-    """Calculates the SHA256 hash of a file's content."""
-    sha256 = hashlib.sha256()
-    try:
-        with open(filepath, "rb") as f:
-            while chunk := f.read(block_size):
-                sha256.update(chunk)
-    except FileNotFoundError:
-        return None  # Handle cases where a file might be deleted during the scan
-
-    return sha256.hexdigest()
-
-
-def find_and_remove_duplicates(directory="."):
-    """Finds duplicate files in the given directory and removes the one with the longer filename."""
-    hashes_to_files = defaultdict(list)
-    files_to_hash = {}
-
-    # Step 1: Hash all files in the directory
-    for filename in os.listdir(directory):
-        filepath = os.path.join(directory, filename)
-        if os.path.isfile(filepath):
-            file_hash = calculate_file_hash(filepath)
-            if file_hash:
-                hashes_to_files[file_hash].append(filepath)
-                files_to_hash[filepath] = file_hash
-
-    # Step 2: Identify duplicate groups (more than one file per hash)
-    duplicates = {h: files for h, files in hashes_to_files.items() if len(files) > 1}
-
-    if not duplicates:
-        print("No duplicate files found.")
-        return
-
-    # Step 3: Iterate over duplicates, compare filename length, and delete the longer one
-    for file_hash, file_list in duplicates.items():
-        # Sort files by filename length (ascending). The one to keep is the first item.
-        # If lengths are equal, an arbitrary one is kept.
-        files_sorted_by_length = sorted(file_list, key=len)
-        file_to_keep = files_sorted_by_length[0]
-        files_to_delete = files_sorted_by_length[1:]
-
-        print(f"\nDuplicate group (Hash: {file_hash[:10]}...):")
-        print(f"  Keeping: {file_to_keep}")
-        for file_to_delete in files_to_delete:
-            try:
-                os.remove(file_to_delete)
-                print(f"  Deleted: {file_to_delete} (longer filename)")
-            except OSError as e:
-                print(f"  Error deleting {file_to_delete}: {e}")
-
-
-def download_file(url, local_dir):
-    """Helper function to download a single file."""
-    try:
-        # Extract filename from URL (e.g., https://example.com/file.jpg -> file.jpg)
-        filename = url.split("/")[-1].split("?")[0] or "downloaded_file"
-        save_path = os.path.join(local_dir, filename)
-
-        # Download the file content
-        response = requests.get(url, stream=True, timeout=10)
-        response.raise_for_status()
-
-        with open(save_path, "wb") as f:
-            for chunk in response.iter_content(chunk_size=8192):
-                f.write(chunk)
-        return f"Successfully downloaded: {filename}"
-    except Exception as e:
-        return f"Failed to download {url}: {e}"
-
-
-def download_files_from_txt(filename, local_dir):
-    """Main function to read URLs and download them using 20 threads."""
-    # Ensure local directory exists
-    if not os.path.exists(local_dir):
-        os.makedirs(local_dir)
-
-    # Read URLs from the text file
-    with open(filename, "r") as f:
-        urls = [line.strip() for line in f if line.strip()]
-
-    # Use ThreadPoolExecutor to handle 20 downloads at a time
-    with ThreadPoolExecutor(max_workers=20) as executor:
-        # Submit all download tasks to the pool
-        results = [executor.submit(download_file, url, local_dir) for url in urls]
-
-        # Monitor results as they complete
-        for future in results:
-            print(future.result())
-
-
-def download_files_from_txt_aria(filename, local_dir):
-    command = [
-        "aria2c",
-        "--input-file",
-        filename,
-        "--dir",
-        local_dir,
-        "-c",  # Continue downloading a partially downloaded file
-        "-j",
-        "30",  # Set max concurrent downloads (adjust as needed)
-        "-x",
-        "16",  # Set max connections per server (adjust as needed)
-    ]
-    print(f"Starting downloads with aria2c in directory: {os.path.abspath(local_dir)}")
-    try:
-        # Execute the command
-        subprocess.run(
-            command,
-            check=True,
-            stdout=subprocess.PIPE,
-            stderr=subprocess.PIPE,
-            text=True,
-        )
-        print("All downloads finished successfully.")
-    except subprocess.CalledProcessError as e:
-        print(f"An error occurred during aria2c execution: {e.stderr}")
-    except Exception as e:
-        print(f"An unexpected error occurred: {e}")
-    finally:
-        # os.remove(filename)
-        print(f"Downloaded all files: {filename}")
-
-
-def download_hf_repo(repo_id, local_dir, repo_type, token):
-    if not token:
-        token = os.getenv("HF_TOKEN")
-    """
-    Downloads an entire Hugging Face repository to a specified local directory.
-    """
-    print(f"Downloading {repo_id} to {local_dir}...")
-
-    # Ensure the target directory exists
-    os.makedirs(local_dir, exist_ok=True)
-
-    # Download the snapshot
-    downloaded_path = snapshot_download(
-        repo_id=repo_id,
-        local_dir=local_dir,
-        token=token,
-        local_dir_use_symlinks=False,  # Set to False to ensure actual files are moved to local_dir
-        repo_type=repo_type,
-    )
-
-    print(f"Download complete! Files are located in: {downloaded_path}")
-    return downloaded_path
-
-
-def remove_duplicate_lines(input_file_path, output_file_path):
-    """
-    Reads lines from input_file_path, removes duplicates, and writes
-    unique lines to output_file_path while preserving order.
-    """
-    try:
-        # Use an ordered set to maintain the original file's line order.
-        # An easy way to do this in Python 3.7+ is using a dictionary's keys.
-        unique_lines_dict = {}
-        with open(input_file_path, "r") as input_file:
-            for line in input_file:
-                # Store line as a dictionary key; duplicates will be ignored
-                unique_lines_dict[line] = None
-
-        unique_lines = unique_lines_dict.keys()
-
-        with open(output_file_path, "w") as output_file:
-            # Write all unique lines to the new file
-            output_file.writelines(unique_lines)
-
-        print(f"Duplicates removed. Unique lines saved to '{output_file_path}'")
-
-    except FileNotFoundError:
-        print(f"Error: The file '{input_file_path}' was not found.")
-    except Exception as e:
-        print(f"An error occurred: {e}")
-
-
-def push_to_hf(repo_id, repo_type):
-    api = HfApi()
-
-    print(f"Uploading current directory to: {repo_id}")
-
-    # Upload everything in the current directory ('.') to the repo root
-    api.upload_folder(
-        folder_path=".",
-        repo_id=repo_id,
-        repo_type=repo_type,
-        commit_message="Initial model upload",
-    )
-    print("Upload complete!")
-
-
-def push_large_folder_to_hf(repo_id, repo_type):
-    api = HfApi()
-    print(f"Starting large folder upload to: {repo_id}")
-
-    # 3. Use upload_large_folder for resilience and speed
-    # This automatically handles multi-threading and local caching for resuming
-    api.upload_large_folder(
-        folder_path=".",
-        repo_id=repo_id,
-        repo_type=repo_type,
-        # Optional: ignore large junk files to save time
-        ignore_patterns=[
-            ".git/",
-            "__pycache__/",
-            "*.tmp",
-            ".DS_Store",
-            "*.cache",
-            "*.trash",
-        ],
-    )
-
-    print(
-        "\nUpload complete! Progress was cached locally; if it failed, just run again to resume."
-    )
-
-
-def get_model_hash(model_path):
-    """
-    Get the hash of a model file
-    """
-    # print(f"Getting hash for model at {model_path}")
-    try:
-        with open(model_path, "rb") as f:
-            f.seek(
-                -10000 * 1024, 2
-            )  # Move the file pointer 10MB before the end of the file
-            hash_result = hashlib.md5(f.read()).hexdigest()
-            # print(f"Hash for {model_path}: {hash_result}")
-            return hash_result
-    except IOError:
-        with open(model_path, "rb") as f:
-            hash_result = hashlib.md5(f.read()).hexdigest()
-            # print(f"IOError encountered, hash for {model_path}: {hash_result}")
-            return hash_result
-
-
-def download_file_if_missing(url, local_path):
-    """
-    Download a file from a URL if it doesn't exist locally
-    """
-    print(f"Checking if {local_path} needs to be downloaded from {url}")
-    if not os.path.exists(local_path):
-        print(f"Downloading {url} to {local_path}")
-        with requests.get(url, stream=True, timeout=10) as r:
-            r.raise_for_status()
-            with open(local_path, "wb") as f:
-                for chunk in r.iter_content(chunk_size=8192):
-                    f.write(chunk)
-        print(f"Downloaded {url} to {local_path}")
-    else:
-        print(f"{local_path} already exists. Skipping download.")
-
-
-def load_json_data(file_path):
-    """
-    Load JSON data from a file
-    """
-    print(f"Loading JSON data from {file_path}")
-    try:
-        with open(file_path, "r", encoding="utf-8") as file:
-            data = json.load(file)
-            print(f"Loaded JSON data successfully from {file_path}")
-            return data
-    except FileNotFoundError:
-        print(f"{file_path} not found.")
-        sys.exit(1)
-
-
-def iterate_and_hash(
-    directory,
-    vr_model_data_url,
-    mdx_model_data_url,
-    vr_model_data_local_path,
-    mdx_model_data_local_path,
-):
-    """
-    Iterate through a directory and hash all model files
-    """
-    print(f"Iterating through directory {directory} to hash model files")
-    model_files = [
-        (file, os.path.join(root, file))
-        for root, _, files in os.walk(directory)
-        for file in files
-        if file.endswith((".pth", ".onnx"))
-    ]
-
-    download_file_if_missing(vr_model_data_url, vr_model_data_local_path)
-    download_file_if_missing(mdx_model_data_url, mdx_model_data_local_path)
-
-    vr_model_data = load_json_data(vr_model_data_local_path)
-    mdx_model_data = load_json_data(mdx_model_data_local_path)
-
-    combined_model_params = {
-        **vr_model_data,
-        **mdx_model_data,
-    }
-
-    model_info_list = []
-    for file, file_path in sorted(model_files):
-        file_hash = get_model_hash(file_path)
-        model_info = {
-            "file": file,
-            "hash": file_hash,
-            "params": combined_model_params.get(file_hash, "Parameters not found"),
-        }
-        model_info_list.append(model_info)
-
-    print(f"Writing model info list to {OUTPUT_PATH}")
-    with open(OUTPUT_PATH, "w", encoding="utf-8") as json_file:
-        json.dump(model_info_list, json_file, indent=4)
-        print(f"Successfully wrote model info list to {OUTPUT_PATH}")
-
-
-def sort_links_by_extension(input_file, output_file):
-    # Define the custom priority order
-    priority = {
-        ".json": 0,
-        ".yaml": 1,
-        ".th": 2,
-        ".pth": 3,
-        ".ckpt": 4,
-        ".onnx": 5,  # Added .onnx (common typo for .onnx or .onx)
-    }
-
-    # Handle the specific user request for .onnx
-    # Example: Map .onnx to priority 5
-    # priority['.onnx'] = 5
-
-    try:
-        with open(input_file, "r") as f:
-            # Read lines and strip whitespace/newlines
-            links = [line.strip() for line in f if line.strip()]
-
-        def sort_key(link):
-            # Extract extension (case-insensitive)
-            _, ext = os.path.splitext(link.lower())
-            # Return priority index; if not in list, place at the end (index 100)
-            return priority.get(ext, 100), link
-
-        # Sort the links
-        sorted_links = sorted(links, key=sort_key)
-
-        with open(output_file, "w") as f:
-            for link in sorted_links:
-                f.write(link + "\n")
-
-        print(f"Successfully sorted links into: {output_file}")
-
-    except FileNotFoundError:
-        print(f"Error: The file '{input_file}' was not found.")
-
-
-# 1. Load the JSON data
-# Ensure 'models.json' is in your current directory
-def get_links_from_json(file_input):
-    try:
-        with open(file_input, "r") as file:
-            data = json.load(file)
-    except FileNotFoundError:
-        print("Error: 'models.json' not found.")
-        data = {}
-
-    # 2. Process and Download
-    for model_name, links in data.items():
-        if not isinstance(links, list) or len(links) == 0:
-            continue

assets/model_url_sorter.py

@@ -1,5 +0,0 @@
-import os
-from model_tools import sort_links_by_extension
-
-if __name__ == "__main__":
-    sort_links_by_extension("links.txt", "sorted_links.txt")

assets/upload_models.py

@@ -1,33 +0,0 @@
-#! /usr/bin/env python3
-import os
-import argparse
-from huggingface_hub import HfApi
-import model_tools as mt
-
-REPO_OWNER = "lainlives"
-REPO_NAME = "audio-separator-models"
-repo_type = "model"
-HF_TOKEN = os.getenv("HF_TOKEN")
-
-
-if __name__ == "__main__":
-    repo_id = f"{REPO_OWNER}/{REPO_NAME}"
-
-    parser = argparse.ArgumentParser(description="Model Upload Tool")
-    parser.add_argument(
-        "--large",
-        action="store_true",
-        help="Upload using upload-large-folder",
-    )
-    parser.add_argument(
-        "--token",
-        type=str,
-        default=HF_TOKEN,
-        dest="HF_TOKEN",
-        help=f"Your access token.",
-    )
-    args = parser.parse_args()
-    if args.large:
-        mt.push_large_folder_to_hf(repo_id, repo_type)
-    else:
-        mt.push_to_hf(repo_id, repo_type)