diff --git a/.gitattributes b/.gitattributes
index 8a82ee018b5ae32aaa494efdf6f6e0fce967138c..0fb84276c2d7967edcc6830641737cd06be5e299 100644
--- a/.gitattributes
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diff --git a/BS_Inst_EXP_VRL.yaml b/BS_Inst_EXP_VRL.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..87d83eb4c0aad761c268c65ecc796a7fbb9ca7a8
--- /dev/null
+++ b/BS_Inst_EXP_VRL.yaml
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+audio:
+  chunk_size: 485100 #352800 #485100
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 12
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  freqs_per_bands: !!python/tuple
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
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+    - 12
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+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 128
+    - 129
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: true
+  dim_freqs_in: 1025
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: false
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - Vocals
+  - Instrumental
+  lr: 1.0e-04
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: Instrumental
+  num_epochs: 1
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adamw
+  other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+inference:
+  batch_size: 1
+  dim_t: 1101
+  num_overlap: 2
\ No newline at end of file
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diff --git a/assets/download_models.py b/assets/download_models.py
new file mode 100644
index 0000000000000000000000000000000000000000..a8b125ff774124aba335c8ac7859b29fbd050bf8
--- /dev/null
+++ b/assets/download_models.py
@@ -0,0 +1,26 @@
+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)
diff --git a/assets/json_link_processor.py b/assets/json_link_processor.py
new file mode 100644
index 0000000000000000000000000000000000000000..30d62549b5c87dfe3b5b1fcad0b74ea4ded2f886
--- /dev/null
+++ b/assets/json_link_processor.py
@@ -0,0 +1,7 @@
+import json
+import urllib.request
+import os
+import model_tools as mt
+
+if __name__ == "__main__":
+    mt.get_links_from_json("models.json")
diff --git a/assets/luvr5-ui-models.txt b/assets/luvr5-ui-models.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c338e800ee4a422730ab4e055fd4d6722fdfdac0
--- /dev/null
+++ b/assets/luvr5-ui-models.txt
@@ -0,0 +1,248 @@
+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
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+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
diff --git a/assets/model_url_sorter.py b/assets/model_url_sorter.py
new file mode 100644
index 0000000000000000000000000000000000000000..149402fe3803d9df87cda9e867e060c3b36df6b6
--- /dev/null
+++ b/assets/model_url_sorter.py
@@ -0,0 +1,5 @@
+import os
+from model_tools import sort_links_by_extension
+
+if __name__ == "__main__":
+    sort_links_by_extension("links.txt", "sorted_links.txt")
diff --git a/assets/upload_models.py b/assets/upload_models.py
new file mode 100644
index 0000000000000000000000000000000000000000..801954a9b68dca4e85aeb9e0a336ed8c483708b4
--- /dev/null
+++ b/assets/upload_models.py
@@ -0,0 +1,33 @@
+#! /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)
diff --git a/aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml b/aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..81da5edf694c47ec91e077abd7fd7a5eb56314a3
--- /dev/null
+++ b/aufr33-jarredou_DrumSep_model_mdx23c_ep_141_sdr_10.8059.yaml
@@ -0,0 +1,87 @@
+audio:
+  chunk_size: 130560
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 512
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+
+model:
+  act: gelu
+  bottleneck_factor: 4
+  growth: 128
+  norm: InstanceNorm
+  num_blocks_per_scale: 2
+  num_channels: 128
+  num_scales: 5
+  num_subbands: 4
+  scale:
+  - 2
+  - 2
+
+training:
+  batch_size: 12
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - Kick
+  - Snare
+  - Toms
+  - Hh
+  - Ride
+  - Crash
+  lr: 9.0e-05
+  patience: 30
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1268
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+
+  # apply mp3 compression to mixture only (emulate downloading mp3 from internet)
+  mp3_compression_on_mixture: 0.0
+  mp3_compression_on_mixture_bitrate_min: 32
+  mp3_compression_on_mixture_bitrate_max: 320
+  mp3_compression_on_mixture_backend: "lameenc"
+
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.01 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+    mp3_compression: 0.0
+    mp3_compression_min_bitrate: 32
+    mp3_compression_max_bitrate: 320
+    mp3_compression_backend: "lameenc"
+    pitch_shift: 0.1
+    pitch_shift_min_semitones: -3
+    pitch_shift_max_semitones: 3
+    seven_band_parametric_eq: 0.5
+    seven_band_parametric_eq_min_gain_db: -6
+    seven_band_parametric_eq_max_gain_db: 6
+    tanh_distortion: 0.2
+    tanh_distortion_min: 0.1
+    tanh_distortion_max: 0.5
+    
+inference:
+  batch_size: 1
+  dim_t: 256
+  num_overlap: 4
\ No newline at end of file
diff --git a/calculate-model-hashes.py b/calculate-model-hashes.py
new file mode 100644
index 0000000000000000000000000000000000000000..0887c3616b4c8919cd04f0c68e36e2f0c8d19d6a
--- /dev/null
+++ b/calculate-model-hashes.py
@@ -0,0 +1,105 @@
+#!/usr/bin/env python3
+
+import os
+import sys
+import json
+import hashlib
+import requests
+
+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"
+
+
+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):
+    """
+    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}")
+
+
+if __name__ == "__main__":
+    iterate_and_hash(MODEL_CACHE_PATH)
diff --git a/config_bs_roformer_karaoke_anvuew.yaml b/config_bs_roformer_karaoke_anvuew.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8c0683aef3b4664f783b0803b7e2e9e6ca7250c5
--- /dev/null
+++ b/config_bs_roformer_karaoke_anvuew.yaml
@@ -0,0 +1,131 @@
+audio:
+  chunk_size: 640000
+  dim_f: 1024
+  dim_t: 801 # don't work (use in model)
+  hop_length: 441 # don't work (use in model)
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 256
+  depth: 12
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  linear_transformer_depth: 0
+  freqs_per_bands: !!python/tuple
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 128
+    - 129
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0.0
+  ff_dropout: 0.0
+  flash_attn: true
+  dim_freqs_in: 1025
+  stft_n_fft: 2048
+  stft_hop_length: 512
+  stft_win_length: 2048
+  stft_normalized: false
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+  mlp_expansion_factor: 4
+  use_torch_checkpoint: True
+  skip_connection: False
+
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments: ['Vocals', 'Instrumental']
+  lr: 5.0e-5
+  patience: 7
+  reduce_factor: 0.75
+  target_instrument: Vocals
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: False # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+
+
+
+inference:
+  batch_size: 2
+  dim_t: 1251
+  num_overlap: 4
diff --git a/config_chorus_male_female_bs_roformer.yaml b/config_chorus_male_female_bs_roformer.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..eab8413f38d13a0ee021fd752c85fb20b65a376f
--- /dev/null
+++ b/config_chorus_male_female_bs_roformer.yaml
@@ -0,0 +1,125 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 801 # don't work (use in model)
+  hop_length: 441 # don't work (use in model)
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 8
+  stereo: true
+  num_stems: 2
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  freqs_per_bands: !!python/tuple
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 128
+    - 129
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0.0
+  ff_dropout: 0.0
+  flash_attn: true
+  dim_freqs_in: 1025
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: false
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - male
+  - female
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 2
\ No newline at end of file
diff --git a/config_dereverb-echo_mel_band_roformer_sdr_13.4843_v2.yaml b/config_dereverb-echo_mel_band_roformer_sdr_13.4843_v2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b9ed3ca2589954b800872e65c72b2eff115237ac
--- /dev/null
+++ b/config_dereverb-echo_mel_band_roformer_sdr_13.4843_v2.yaml
@@ -0,0 +1,64 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 256
+  depth: 8
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0.1
+  ff_dropout: 0.1
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 8
+  grad_clip: 0
+  instruments:
+  - dry
+  - No dry
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: dry
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false
+  use_amp: true
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 4
\ No newline at end of file
diff --git a/config_dereverb_echo_mel_band_roformer_v2.yaml b/config_dereverb_echo_mel_band_roformer_v2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..18213b12b2e4c157bca21bd5c8dc922b634e12da
--- /dev/null
+++ b/config_dereverb_echo_mel_band_roformer_v2.yaml
@@ -0,0 +1,64 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 256
+  depth: 8
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0.1
+  ff_dropout: 0.1
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 8
+  grad_clip: 0
+  instruments:
+  - dry
+  - other
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: dry
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false
+  use_amp: true
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 4
\ No newline at end of file
diff --git a/config_dereverb_echo_mel_band_roformer_v2.yaml.1 b/config_dereverb_echo_mel_band_roformer_v2.yaml.1
new file mode 100644
index 0000000000000000000000000000000000000000..18213b12b2e4c157bca21bd5c8dc922b634e12da
--- /dev/null
+++ b/config_dereverb_echo_mel_band_roformer_v2.yaml.1
@@ -0,0 +1,64 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 256
+  depth: 8
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0.1
+  ff_dropout: 0.1
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 8
+  grad_clip: 0
+  instruments:
+  - dry
+  - other
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: dry
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false
+  use_amp: true
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 4
\ No newline at end of file
diff --git a/config_dereverb_echo_mel_band_roformer_v2.yaml.2 b/config_dereverb_echo_mel_band_roformer_v2.yaml.2
new file mode 100644
index 0000000000000000000000000000000000000000..18213b12b2e4c157bca21bd5c8dc922b634e12da
--- /dev/null
+++ b/config_dereverb_echo_mel_band_roformer_v2.yaml.2
@@ -0,0 +1,64 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 256
+  depth: 8
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0.1
+  ff_dropout: 0.1
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 8
+  grad_clip: 0
+  instruments:
+  - dry
+  - other
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: dry
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false
+  use_amp: true
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 4
\ No newline at end of file
diff --git a/config_dereverb_mdx23c.yaml b/config_dereverb_mdx23c.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dda1844a2a7562fca0341a6c7cefc2ec11ec8cac
--- /dev/null
+++ b/config_dereverb_mdx23c.yaml
@@ -0,0 +1,135 @@
+audio:
+  chunk_size: 261120
+  dim_f: 4096
+  dim_t: 256
+  hop_length: 1024
+  n_fft: 8192
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+
+model:
+  act: gelu
+  bottleneck_factor: 4
+  growth: 128
+  norm: InstanceNorm
+  num_blocks_per_scale: 2
+  num_channels: 128
+  num_scales: 5
+  num_subbands: 4
+  scale:
+  - 2
+  - 2
+
+training:
+  batch_size: 2
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - dry
+  - No dry
+  lr: 1.0e-06
+  patience: 4
+  reduce_factor: 0.93
+  target_instrument: null
+  num_epochs: 40
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adamw
+  read_metadata_procs: 8 # Number of processes to use during metadata reading for dataset. Can speed up metadata generation
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: false # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.05 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+
+    # pedalboard chorus block
+    pedalboard_chorus: 0.001
+    pedalboard_chorus_rate_hz_min: 1.0
+    pedalboard_chorus_rate_hz_max: 7.0
+    pedalboard_chorus_depth_min: 0.25
+    pedalboard_chorus_depth_max: 0.95
+    pedalboard_chorus_centre_delay_ms_min: 3
+    pedalboard_chorus_centre_delay_ms_max: 10
+    pedalboard_chorus_feedback_min: 0.0
+    pedalboard_chorus_feedback_max: 0.01
+    pedalboard_chorus_mix_min: 0.1
+    pedalboard_chorus_mix_max: 0.9
+
+    # pedalboard phazer block
+    pedalboard_phazer: 0.001
+    pedalboard_phazer_rate_hz_min: 1.0
+    pedalboard_phazer_rate_hz_max: 10.0
+    pedalboard_phazer_depth_min: 0.25
+    pedalboard_phazer_depth_max: 0.95
+    pedalboard_phazer_centre_frequency_hz_min: 200
+    pedalboard_phazer_centre_frequency_hz_max: 12000
+    pedalboard_phazer_feedback_min: 0.0
+    pedalboard_phazer_feedback_max: 0.5
+    pedalboard_phazer_mix_min: 0.1
+    pedalboard_phazer_mix_max: 0.9
+
+    # pedalboard pitch shift block
+    pedalboard_pitch_shift: 0.01
+    pedalboard_pitch_shift_semitones_min: -7
+    pedalboard_pitch_shift_semitones_max: 7
+
+    # pedalboard resample block
+    pedalboard_resample: 0.001
+    pedalboard_resample_target_sample_rate_min: 4000
+    pedalboard_resample_target_sample_rate_max: 44100
+
+    mp3_compression_min_bitrate: 32
+    mp3_compression_max_bitrate: 320
+    mp3_compression_backend: "lameenc"
+
+  dry:
+    # pedalboard distortion block
+    pedalboard_distortion: 0.001
+    pedalboard_distortion_drive_db_min: 1.0
+    pedalboard_distortion_drive_db_max: 25.0
+    
+    tanh_distortion: 0.05
+    tanh_distortion_min: 0.1
+    tanh_distortion_max: 0.7
+    # pedalboard bitcrash block
+    pedalboard_bitcrash: 0.005
+    pedalboard_bitcrash_bit_depth_min: 4
+    pedalboard_bitcrash_bit_depth_max: 16
+
+    seven_band_parametric_eq: 0.24
+    seven_band_parametric_eq_min_gain_db: -9
+    seven_band_parametric_eq_max_gain_db: 9
+    
+    gaussian_noise: 0.005
+    gaussian_noise_min_amplitude: 0.001
+    gaussian_noise_max_amplitude: 0.01
+    
+    time_stretch: 0.01
+    time_stretch_min_rate: 0.8
+    time_stretch_max_rate: 1.25
+  other:
+    seven_band_parametric_eq: 0.24
+    seven_band_parametric_eq_min_gain_db: -9
+    seven_band_parametric_eq_max_gain_db: 9
+
+inference:
+  batch_size: 2
+  dim_t: 256
+  num_overlap: 4
\ No newline at end of file
diff --git a/config_dnr_bandit_bsrnn_multi_mus64.yaml b/config_dnr_bandit_bsrnn_multi_mus64.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5f67bf9d966f88a30ba82bf47e6f109497375979
--- /dev/null
+++ b/config_dnr_bandit_bsrnn_multi_mus64.yaml
@@ -0,0 +1,78 @@
+name: "MultiMaskMultiSourceBandSplitRNN"
+audio:
+  chunk_size: 264600
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+
+model:
+  in_channel: 1
+  stems: ['speech', 'music', 'effects']
+  band_specs: "musical"
+  n_bands: 64
+  fs: 44100
+  require_no_overlap: false
+  require_no_gap: true
+  normalize_channel_independently: false
+  treat_channel_as_feature: true
+  n_sqm_modules: 8
+  emb_dim: 128
+  rnn_dim: 256
+  bidirectional: true
+  rnn_type: "GRU"
+  mlp_dim: 512
+  hidden_activation: "Tanh"
+  hidden_activation_kwargs: null
+  complex_mask: true
+  n_fft: 2048
+  win_length: 2048
+  hop_length: 512
+  window_fn: "hann_window"
+  wkwargs: null
+  power: null
+  center: true
+  normalized: true
+  pad_mode: "constant"
+  onesided: true
+
+training:
+  batch_size: 4
+  gradient_accumulation_steps: 4
+  grad_clip: 0
+  instruments:
+  - Speech
+  - Music
+  - Effects
+  lr: 9.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.1 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+
+inference:
+  batch_size: 1
+  dim_t: 256
+  num_overlap: 4
\ No newline at end of file
diff --git a/config_dnr_bandit_v2_mus64.yaml b/config_dnr_bandit_v2_mus64.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8691ea03cd880bd4da59fae1952eb5b2cf1defab
--- /dev/null
+++ b/config_dnr_bandit_v2_mus64.yaml
@@ -0,0 +1,78 @@
+cls: Bandit
+
+audio:
+  chunk_size: 384000
+  num_channels: 2
+  sample_rate: 48000
+  min_mean_abs: 0.000
+
+kwargs:
+  in_channels: 1
+  stems: ['speech', 'music', 'sfx']
+  band_type: musical
+  n_bands: 64
+  normalize_channel_independently: false
+  treat_channel_as_feature: true
+  n_sqm_modules: 8
+  emb_dim: 128
+  rnn_dim: 256
+  bidirectional: true
+  rnn_type: "GRU"
+  mlp_dim: 512
+  hidden_activation: "Tanh"
+  hidden_activation_kwargs:
+  complex_mask: true
+  use_freq_weights: true
+  n_fft: 2048
+  win_length: 2048
+  hop_length: 512
+  window_fn: "hann_window"
+  wkwargs:
+  power:
+  center: true
+  normalized: true
+  pad_mode: "reflect"
+  onesided: true
+
+training:
+  batch_size: 4
+  gradient_accumulation_steps: 4
+  grad_clip: 0
+  instruments:
+  - Speech
+  - Music
+  - Sfx
+  lr: 9.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument:
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple
+                              # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+  - 0.2
+  - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.1 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+
+inference:
+  batch_size: 8
+  dim_t: 256
+  num_overlap: 4
diff --git a/config_drumsep_mdx23c.yaml b/config_drumsep_mdx23c.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7b06ddb77b6d2df982922cabaa9805a189f4c6c6
--- /dev/null
+++ b/config_drumsep_mdx23c.yaml
@@ -0,0 +1,87 @@
+audio:
+  chunk_size: 130560
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 512
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+
+model:
+  act: gelu
+  bottleneck_factor: 4
+  growth: 128
+  norm: InstanceNorm
+  num_blocks_per_scale: 2
+  num_channels: 128
+  num_scales: 5
+  num_subbands: 4
+  scale:
+  - 2
+  - 2
+
+training:
+  batch_size: 12
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - kick
+  - snare
+  - toms
+  - hh
+  - ride
+  - crash
+  lr: 9.0e-05
+  patience: 30
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1268
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+
+  # apply mp3 compression to mixture only (emulate downloading mp3 from internet)
+  mp3_compression_on_mixture: 0.0
+  mp3_compression_on_mixture_bitrate_min: 32
+  mp3_compression_on_mixture_bitrate_max: 320
+  mp3_compression_on_mixture_backend: "lameenc"
+
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.01 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+    mp3_compression: 0.0
+    mp3_compression_min_bitrate: 32
+    mp3_compression_max_bitrate: 320
+    mp3_compression_backend: "lameenc"
+    pitch_shift: 0.1
+    pitch_shift_min_semitones: -3
+    pitch_shift_max_semitones: 3
+    seven_band_parametric_eq: 0.5
+    seven_band_parametric_eq_min_gain_db: -6
+    seven_band_parametric_eq_max_gain_db: 6
+    tanh_distortion: 0.2
+    tanh_distortion_min: 0.1
+    tanh_distortion_max: 0.5
+    
+inference:
+  batch_size: 1
+  dim_t: 256
+  num_overlap: 4
\ No newline at end of file
diff --git a/config_mel_band_roformer_bleed_suppressor_v1.yaml b/config_mel_band_roformer_bleed_suppressor_v1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..333fb15b0079c324821981b54b75945f1d8440ac
--- /dev/null
+++ b/config_mel_band_roformer_bleed_suppressor_v1.yaml
@@ -0,0 +1,51 @@
+audio:
+  chunk_size: 485100
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  instruments:
+  - Instrumental
+  - Bleed
+  target_instrument: Instrumental
+  use_amp: True
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 2
\ No newline at end of file
diff --git a/config_mel_band_roformer_karaoke.yaml b/config_mel_band_roformer_karaoke.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ac546b17d80811640f948b451ade00a200dc5c37
--- /dev/null
+++ b/config_mel_band_roformer_karaoke.yaml
@@ -0,0 +1,71 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 000
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: true
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: false
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: false
+
+training:
+  batch_size: 4
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - Vocals
+  - Instrumental
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: Vocals
+  num_epochs: 1000
+  num_steps: 2000
+  augmentation: false # enable augmentations by audiomentations and pedalboard
+  augmentation_type:
+  use_mp3_compress: false # Deprecated
+  augmentation_mix: false # Mix several stems of the same type with some probability
+  augmentation_loudness: false # randomly change loudness of each stem
+  augmentation_loudness_type: 1 # Type 1 or 2
+  augmentation_loudness_min: 0
+  augmentation_loudness_max: 0
+  q: 0.95
+  coarse_loss_clip: false
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+inference:
+  batch_size: 1
+  dim_t: 1101
+  num_overlap: 4
diff --git a/config_mel_band_roformer_karaoke_gabox.yaml b/config_mel_band_roformer_karaoke_gabox.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..16cb193e3651303c63d76da329b677fd5b16dae8
--- /dev/null
+++ b/config_mel_band_roformer_karaoke_gabox.yaml
@@ -0,0 +1,72 @@
+audio:
+  chunk_size: 485100
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: true
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: false
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+    - 4096
+    - 2048
+    - 1024
+    - 512
+    - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: true
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+    - Vocals
+    - Instrumental
+  lr: 0.0005
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: Vocals
+  num_epochs: 1000
+  num_steps: 1000
+  augmentation: false # enable augmentations by audiomentations and pedalboard
+  augmentation_type:
+  use_mp3_compress: false # Deprecated
+  augmentation_mix: false # Mix several stems of the same type with some probability
+  augmentation_loudness: false # randomly change loudness of each stem
+  augmentation_loudness_type: 1 # Type 1 or 2
+  augmentation_loudness_min: 0
+  augmentation_loudness_max: 0
+  q: 0.95
+  coarse_loss_clip: false
+  ema_momentum: 0.999
+  optimizer: adamw
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+inference:
+  batch_size: 1
+  dim_t: 1101
+  num_overlap: 8
diff --git a/config_melband_roformer_big_beta5e.yaml b/config_melband_roformer_big_beta5e.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..66f782d66d31113f304fe07aa1ce663952030676
--- /dev/null
+++ b/config_melband_roformer_big_beta5e.yaml
@@ -0,0 +1,51 @@
+audio:
+  chunk_size: 485100
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 3
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  instruments:
+  - vocals
+  - other
+  target_instrument: vocals
+  use_amp: True
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 2
\ No newline at end of file
diff --git a/config_melbandroformer_big_beta4.yaml b/config_melbandroformer_big_beta4.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7dba2f17a3f8b3b5e7ec94bb9c4becb1acc1724a
--- /dev/null
+++ b/config_melbandroformer_big_beta4.yaml
@@ -0,0 +1,51 @@
+audio:
+  chunk_size: 485100
+  dim_f: 1024
+  dim_t: 1101
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 12
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 3
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  instruments:
+  - vocals
+  - other
+  target_instrument: vocals
+  use_amp: True
+
+inference:
+  batch_size: 1
+  dim_t: 1101
+  num_overlap: 2
\ No newline at end of file
diff --git a/config_melbandroformer_big_beta6.yaml b/config_melbandroformer_big_beta6.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..fb175852d74ba1b04ab1bcfd0fc88e8c5c26f206
--- /dev/null
+++ b/config_melbandroformer_big_beta6.yaml
@@ -0,0 +1,72 @@
+audio:
+  chunk_size: 529200
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 512
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - vocals
+  - other
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: vocals
+  num_epochs: 1000
+  num_steps: 1000
+  augmentation: false # enable augmentations by audiomentations and pedalboard
+  augmentation_type: null
+  use_mp3_compress: false # Deprecated
+  augmentation_mix: false # Mix several stems of the same type with some probability
+  augmentation_loudness: false # randomly change loudness of each stem
+  augmentation_loudness_type: 1 # Type 1 or 2
+  augmentation_loudness_min: 0
+  augmentation_loudness_max: 0
+  q: 0.95
+  coarse_loss_clip: false
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+inference:
+  batch_size: 2
+  dim_t: 1201
+  num_overlap: 2
\ No newline at end of file
diff --git a/config_melbandroformer_big_beta6x.yaml b/config_melbandroformer_big_beta6x.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7537b31741f9dec3d604f33b859ce7783bb23da6
--- /dev/null
+++ b/config_melbandroformer_big_beta6x.yaml
@@ -0,0 +1,72 @@
+audio:
+  chunk_size: 529200
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 512
+  depth: 12
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - vocals
+  - other
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: vocals
+  num_epochs: 1000
+  num_steps: 1000
+  augmentation: false # enable augmentations by audiomentations and pedalboard
+  augmentation_type: null
+  use_mp3_compress: false # Deprecated
+  augmentation_mix: false # Mix several stems of the same type with some probability
+  augmentation_loudness: false # randomly change loudness of each stem
+  augmentation_loudness_type: 1 # Type 1 or 2
+  augmentation_loudness_min: 0
+  augmentation_loudness_max: 0
+  q: 0.95
+  coarse_loss_clip: false
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+inference:
+  batch_size: 2
+  dim_t: 1201
+  num_overlap: 2
diff --git a/config_musdb18_scnet.yaml b/config_musdb18_scnet.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b74fc2f6f31deafc819aa680e5075f8e134d9793
--- /dev/null
+++ b/config_musdb18_scnet.yaml
@@ -0,0 +1,83 @@
+audio:
+  chunk_size: 485100 # 44100 * 11
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  sources:
+    - drums
+    - bass
+    - other
+    - vocals
+  audio_channels: 2
+  dims:
+    - 4
+    - 32
+    - 64
+    - 128
+  nfft: 4096
+  hop_size: 1024
+  win_size: 4096
+  normalized: True
+  band_SR:
+    - 0.175
+    - 0.392
+    - 0.433
+  band_stride:
+    - 1
+    - 4
+    - 16
+  band_kernel:
+    - 3
+    - 4
+    - 16
+  conv_depths:
+    - 3
+    - 2
+    - 1
+  compress: 4
+  conv_kernel: 3
+  num_dplayer: 6
+  expand: 1
+
+training:
+  batch_size: 10
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+    - Drums
+    - Bass
+    - Other
+    - Vocals
+  lr: 5.0e-04
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs:
+    !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+
+inference:
+  batch_size: 8
+  dim_t: 256
+  num_overlap: 4
+  normalize: true
diff --git a/config_musdb18_scnet_large.yaml b/config_musdb18_scnet_large.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..33912dfc5614881dd2b4f56318918b4ff65d58b1
--- /dev/null
+++ b/config_musdb18_scnet_large.yaml
@@ -0,0 +1,88 @@
+audio:
+  chunk_size: 485100 # 44100 * 11
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  sources:
+    - drums
+    - bass
+    - other
+    - vocals
+  audio_channels: 2
+  dims:
+    - 4
+    - 64
+    - 128
+    - 256
+  nfft: 4096
+  hop_size: 1024
+  win_size: 4096
+  normalized: True
+  band_SR:
+    - 0.225
+    - 0.372
+    - 0.403
+  band_stride:
+    - 1
+    - 4
+    - 16
+  band_kernel:
+    - 3
+    - 4
+    - 16
+  conv_depths:
+    - 3
+    - 2
+    - 1
+  compress: 4
+  conv_kernel: 3
+  num_dplayer: 6
+  expand: 1
+
+training:
+  batch_size: 6
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+    - Drums
+    - Bass
+    - Other
+    - Vocals
+  # lr: 1.0e-04
+  lr: 1.0
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: prodigy
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs:
+    !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.1 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+
+inference:
+  batch_size: 8
+  dim_t: 256
+  num_overlap: 4
+  normalize: false
diff --git a/config_musdb18_scnet_large_starrytong.yaml b/config_musdb18_scnet_large_starrytong.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7fbb6e4bcb5ddf3946833a137cd61c730bca20a8
--- /dev/null
+++ b/config_musdb18_scnet_large_starrytong.yaml
@@ -0,0 +1,88 @@
+audio:
+  chunk_size: 485100 # 44100 * 11
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  sources:
+    - drums
+    - bass
+    - other
+    - vocals
+  audio_channels: 2
+  dims:
+    - 4
+    - 64
+    - 128
+    - 256
+  nfft: 4096
+  hop_size: 1024
+  win_size: 4096
+  normalized: True
+  band_SR:
+    - 0.225
+    - 0.372
+    - 0.403
+  band_stride:
+    - 1
+    - 4
+    - 16
+  band_kernel:
+    - 3
+    - 4
+    - 16
+  conv_depths:
+    - 3
+    - 2
+    - 1
+  compress: 4
+  conv_kernel: 3
+  num_dplayer: 6
+  expand: 1
+
+training:
+  batch_size: 6
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+    - Drums
+    - Bass
+    - Other
+    - Vocals
+  # lr: 1.0e-04
+  lr: 1.0
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: prodigy
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs:
+    !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.1 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+
+inference:
+  batch_size: 8
+  dim_t: 256
+  num_overlap: 4
+  normalize: true
diff --git a/config_musdb18_scnet_xl.yaml b/config_musdb18_scnet_xl.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a189dc899094da0df5508a1661302fc61f0bce64
--- /dev/null
+++ b/config_musdb18_scnet_xl.yaml
@@ -0,0 +1,207 @@
+audio:
+  chunk_size: 485100 # 44100 * 11
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  sources:
+    - drums
+    - bass
+    - other
+    - vocals
+  audio_channels: 2
+  dims:
+    - 4
+    - 64
+    - 128
+    - 256
+  nfft: 4096
+  hop_size: 1024
+  win_size: 4096
+  normalized: True
+  band_SR:
+    - 0.230
+    - 0.370
+    - 0.400
+  band_stride:
+    - 1
+    - 4
+    - 16
+  band_kernel:
+    - 3
+    - 4
+    - 16
+  conv_depths:
+    - 3
+    - 2
+    - 1
+  compress: 4
+  conv_kernel: 3
+  num_dplayer: 8
+  expand: 1
+
+training:
+  batch_size: 4
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+    - Drums
+    - Bass
+    - Other
+    - Vocals
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1000
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  # optimizer: prodigy
+  optimizer: adam
+  lr: 1.0e-05
+  # lr: 1.0
+  normalize: false # perform normalization on input of model (use the same for inference!)
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+
+augmentations:
+  enable: false # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: true # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+
+  # apply mp3 compression to mixture only (emulate downloading mp3 from internet)
+  mp3_compression_on_mixture: 0.01
+  mp3_compression_on_mixture_bitrate_min: 32
+  mp3_compression_on_mixture_bitrate_max: 320
+  mp3_compression_on_mixture_backend: "lameenc"
+
+  all:
+    channel_shuffle: 0.5 # Set 0 or lower to disable
+    random_inverse: 0.1 # inverse track (better lower probability)
+    random_polarity: 0.5 # polarity change (multiply waveform to -1)
+
+    mp3_compression: 0.01
+    mp3_compression_min_bitrate: 32
+    mp3_compression_max_bitrate: 320
+    mp3_compression_backend: "lameenc"
+
+    # pedalboard reverb block
+    pedalboard_reverb: 0.01
+    pedalboard_reverb_room_size_min: 0.1
+    pedalboard_reverb_room_size_max: 0.9
+    pedalboard_reverb_damping_min: 0.1
+    pedalboard_reverb_damping_max: 0.9
+    pedalboard_reverb_wet_level_min: 0.1
+    pedalboard_reverb_wet_level_max: 0.9
+    pedalboard_reverb_dry_level_min: 0.1
+    pedalboard_reverb_dry_level_max: 0.9
+    pedalboard_reverb_width_min: 0.9
+    pedalboard_reverb_width_max: 1.0
+
+    # pedalboard chorus block
+    pedalboard_chorus: 0.01
+    pedalboard_chorus_rate_hz_min: 1.0
+    pedalboard_chorus_rate_hz_max: 7.0
+    pedalboard_chorus_depth_min: 0.25
+    pedalboard_chorus_depth_max: 0.95
+    pedalboard_chorus_centre_delay_ms_min: 3
+    pedalboard_chorus_centre_delay_ms_max: 10
+    pedalboard_chorus_feedback_min: 0.0
+    pedalboard_chorus_feedback_max: 0.5
+    pedalboard_chorus_mix_min: 0.1
+    pedalboard_chorus_mix_max: 0.9
+
+    # pedalboard phazer block
+    pedalboard_phazer: 0.01
+    pedalboard_phazer_rate_hz_min: 1.0
+    pedalboard_phazer_rate_hz_max: 10.0
+    pedalboard_phazer_depth_min: 0.25
+    pedalboard_phazer_depth_max: 0.95
+    pedalboard_phazer_centre_frequency_hz_min: 200
+    pedalboard_phazer_centre_frequency_hz_max: 12000
+    pedalboard_phazer_feedback_min: 0.0
+    pedalboard_phazer_feedback_max: 0.5
+    pedalboard_phazer_mix_min: 0.1
+    pedalboard_phazer_mix_max: 0.9
+
+    # pedalboard distortion block
+    pedalboard_distortion: 0.01
+    pedalboard_distortion_drive_db_min: 1.0
+    pedalboard_distortion_drive_db_max: 25.0
+
+    # pedalboard pitch shift block
+    pedalboard_pitch_shift: 0.01
+    pedalboard_pitch_shift_semitones_min: -7
+    pedalboard_pitch_shift_semitones_max: 7
+
+    # pedalboard resample block
+    pedalboard_resample: 0.01
+    pedalboard_resample_target_sample_rate_min: 4000
+    pedalboard_resample_target_sample_rate_max: 44100
+
+    # pedalboard bitcrash block
+    pedalboard_bitcrash: 0.01
+    pedalboard_bitcrash_bit_depth_min: 4
+    pedalboard_bitcrash_bit_depth_max: 16
+
+    # pedalboard mp3 compressor block
+    pedalboard_mp3_compressor: 0.01
+    pedalboard_mp3_compressor_pedalboard_mp3_compressor_min: 0
+    pedalboard_mp3_compressor_pedalboard_mp3_compressor_max: 9.999
+
+  vocals:
+      pitch_shift: 0.1
+      pitch_shift_min_semitones: -5
+      pitch_shift_max_semitones: 5
+      seven_band_parametric_eq: 0.25
+      seven_band_parametric_eq_min_gain_db: -9
+      seven_band_parametric_eq_max_gain_db: 9
+      tanh_distortion: 0.1
+      tanh_distortion_min: 0.1
+      tanh_distortion_max: 0.7
+  bass:
+    pitch_shift: 0.1
+    pitch_shift_min_semitones: -2
+    pitch_shift_max_semitones: 2
+    seven_band_parametric_eq: 0.25
+    seven_band_parametric_eq_min_gain_db: -3
+    seven_band_parametric_eq_max_gain_db: 6
+    tanh_distortion: 0.2
+    tanh_distortion_min: 0.1
+    tanh_distortion_max: 0.5
+  drums:
+    pitch_shift: 0.33
+    pitch_shift_min_semitones: -5
+    pitch_shift_max_semitones: 5
+    seven_band_parametric_eq: 0.25
+    seven_band_parametric_eq_min_gain_db: -9
+    seven_band_parametric_eq_max_gain_db: 9
+    tanh_distortion: 0.33
+    tanh_distortion_min: 0.1
+    tanh_distortion_max: 0.6
+  other:
+    pitch_shift: 0.1
+    pitch_shift_min_semitones: -4
+    pitch_shift_max_semitones: 4
+    gaussian_noise: 0.1
+    gaussian_noise_min_amplitude: 0.001
+    gaussian_noise_max_amplitude: 0.015
+    time_stretch: 0.01
+    time_stretch_min_rate: 0.8
+    time_stretch_max_rate: 1.25
+
+inference:
+  batch_size: 4
+  dim_t: 256
+  num_overlap: 4
+  normalize: false
diff --git a/config_vocals_mel_band_roformer_big_v1_ft.yaml b/config_vocals_mel_band_roformer_big_v1_ft.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..66f782d66d31113f304fe07aa1ce663952030676
--- /dev/null
+++ b/config_vocals_mel_band_roformer_big_v1_ft.yaml
@@ -0,0 +1,51 @@
+audio:
+  chunk_size: 485100
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 3
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  instruments:
+  - vocals
+  - other
+  target_instrument: vocals
+  use_amp: True
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 2
\ No newline at end of file
diff --git a/config_vocals_mel_band_roformer_ft.yaml b/config_vocals_mel_band_roformer_ft.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c53d3e0912cd12d69ddd923dbb760a6c2b4d5000
--- /dev/null
+++ b/config_vocals_mel_band_roformer_ft.yaml
@@ -0,0 +1,72 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 8
+  grad_clip: 0
+  instruments:
+  - vocals
+  - other
+  lr: 1.0e-04
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: vocals
+  num_epochs: 1000
+  num_steps: 100
+  augmentation: true # enable augmentations by audiomentations and pedalboard
+  augmentation_type: null
+  use_mp3_compress: false # Deprecated
+  augmentation_mix: true # Mix several stems of the same type with some probability
+  augmentation_loudness: true # randomly change loudness of each stem
+  augmentation_loudness_type: 1 # Type 1 or 2
+  augmentation_loudness_min: 0
+  augmentation_loudness_max: 0
+  q: 0.95
+  coarse_loss_clip: false
+  ema_momentum: 0.999
+  optimizer: adamw8bit
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+inference:
+  batch_size: 4
+  dim_t: 256
+  num_overlap: 2
\ No newline at end of file
diff --git a/config_vocals_mel_band_roformer_kim.yaml b/config_vocals_mel_band_roformer_kim.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8130c9958eead0d2efd27f27f4f39ea5ca051a26
--- /dev/null
+++ b/config_vocals_mel_band_roformer_kim.yaml
@@ -0,0 +1,51 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 256
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  instruments:
+  - Vocals
+  - Instrumental
+  target_instrument: Vocals
+
+inference:
+  batch_size: 1
+  dim_t: 1101
+  num_overlap: 1
+  chunk_size: 352800
\ No newline at end of file
diff --git a/d12395a8-e57c48e6.th b/d12395a8-e57c48e6.th
new file mode 100644
index 0000000000000000000000000000000000000000..b2516f0ba249a05c119eba7e3c52addc11785d41
--- /dev/null
+++ b/d12395a8-e57c48e6.th
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e57c48e6b0e38af4f7118d7bd08c49f0a0c0edf7d09143bdd902ea0d237303e6
+size 84141271
diff --git a/dereverb_mel_band_roformer_anvuew.yaml b/dereverb_mel_band_roformer_anvuew.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f4be13c9f337b26a2e11f89aaf24bc873cc23ce9
--- /dev/null
+++ b/dereverb_mel_band_roformer_anvuew.yaml
@@ -0,0 +1,76 @@
+audio:
+  chunk_size: 352800
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.000
+
+model:
+  dim: 384
+  depth: 6
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  num_bands: 60
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0
+  ff_dropout: 0
+  flash_attn: True
+  dim_freqs_in: 1025
+  sample_rate: 44100  # needed for mel filter bank from librosa
+  stft_n_fft: 2048
+  stft_hop_length: 441
+  stft_win_length: 2048
+  stft_normalized: False
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 3
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - noreverb
+  - reverb
+  lr: 5.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: noreverb
+  num_epochs: 1000
+  num_steps: 4000
+  q: 0.95
+  coarse_loss_clip: false
+  ema_momentum: 0.999
+  optimizer: adamw
+  other_fix: true # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.1
+  loudness_max: 1.0
+  mixup: false # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 2
\ No newline at end of file
diff --git a/deverb_bs_roformer_8_256dim_8depth.yaml b/deverb_bs_roformer_8_256dim_8depth.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7d41a4644739b78103518653c81f980b89780734
--- /dev/null
+++ b/deverb_bs_roformer_8_256dim_8depth.yaml
@@ -0,0 +1,138 @@
+audio:
+  chunk_size: 352768
+  dim_f: 1024
+  dim_t: 801
+  hop_length: 441
+  n_fft: 2048
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+
+model:
+  dim: 256
+  depth: 8
+  stereo: true
+  num_stems: 1
+  time_transformer_depth: 1
+  freq_transformer_depth: 1
+  linear_transformer_depth: 0
+  freqs_per_bands: !!python/tuple
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 2
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 4
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 12
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 24
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 48
+    - 128
+    - 129
+  dim_head: 64
+  heads: 8
+  attn_dropout: 0.1
+  ff_dropout: 0.1
+  flash_attn: true
+  dim_freqs_in: 1025
+  stft_n_fft: 2048
+  stft_hop_length: 512
+  stft_win_length: 2048
+  stft_normalized: false
+  mask_estimator_depth: 2
+  multi_stft_resolution_loss_weight: 1.0
+  multi_stft_resolutions_window_sizes: !!python/tuple
+  - 4096
+  - 2048
+  - 1024
+  - 512
+  - 256
+  multi_stft_hop_size: 147
+  multi_stft_normalized: False
+
+training:
+  batch_size: 1
+  gradient_accumulation_steps: 1
+  grad_clip: 0
+  instruments:
+  - No Reverb
+  - Reverb
+  lr: 5.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: No Reverb
+  num_epochs: 1000
+  num_steps: 7600
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+  optimizer: adam
+  other_fix: false # it's needed for checking on multisong dataset if other is actually instrumental
+  use_amp: true # enable or disable usage of mixed precision (float16) - usually it must be true
+
+augmentations:
+  enable: true # enable or disable all augmentations (to fast disable if needed)
+  loudness: true # randomly change loudness of each stem on the range (loudness_min; loudness_max)
+  loudness_min: 0.5
+  loudness_max: 1.5
+  mixup: false # mix several stems of same type with some probability (only works for dataset types: 1, 2, 3)
+  mixup_probs: !!python/tuple # 2 additional stems of the same type (1st with prob 0.2, 2nd with prob 0.02)
+    - 0.2
+    - 0.02
+  mixup_loudness_min: 0.5
+  mixup_loudness_max: 1.5
+
+inference:
+  batch_size: 1
+  dim_t: 801
+  num_overlap: 4
\ No newline at end of file
diff --git a/f7e0c4bc-ba3fe64a.th b/f7e0c4bc-ba3fe64a.th
new file mode 100644
index 0000000000000000000000000000000000000000..1d2f2cebac207dbb924b9011860f22621184d741
--- /dev/null
+++ b/f7e0c4bc-ba3fe64a.th
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba3fe64ae8ef66ac9a4857222ce48efbdc5eb3ad375cb79dd13debee5aaa4066
+size 84141271
diff --git a/kuielab_a_drums.onnx b/kuielab_a_drums.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..e29380d6f0c92fe7a38a201709342a56931489df
--- /dev/null
+++ b/kuielab_a_drums.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40f586b7091934dd6f5563f0cba8f14bad57ce88440da1098bf388ea716c2901
+size 29703204
diff --git a/kuielab_a_other.onnx b/kuielab_a_other.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..7f2c3285075afc5e9ed9ba2fd6882d8df9921763
--- /dev/null
+++ b/kuielab_a_other.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b67a1dcb5f232153528c59960b4c7bf8dc736b8114de360af0e719633f53358
+size 29703204
diff --git a/kuielab_a_vocals.onnx b/kuielab_a_vocals.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..8d80e6d5ea023a73a002c15005551a37c7cfa21c
--- /dev/null
+++ b/kuielab_a_vocals.onnx
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+version https://git-lfs.github.com/spec/v1
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diff --git a/mdx.yaml b/mdx.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4e81a5064b86698bf322a4fe11c23451924a5fc5
--- /dev/null
+++ b/mdx.yaml
@@ -0,0 +1,8 @@
+models: ['0d19c1c6', '7ecf8ec1', 'c511e2ab', '7d865c68']
+weights: [
+  [1., 1., 0., 0.],
+  [0., 1., 0., 0.],
+  [1., 0., 1., 1.],
+  [1., 0., 1., 1.],
+]
+segment: 44
diff --git a/mdx_extra.yaml b/mdx_extra.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..847bf6659acce8c31aa9535923e2fd317a05a9e6
--- /dev/null
+++ b/mdx_extra.yaml
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+models: ['e51eebcc', 'a1d90b5c', '5d2d6c55', 'cfa93e08']
+segment: 44
\ No newline at end of file
diff --git a/mdx_extra_q.yaml b/mdx_extra_q.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..87702bc87e4a32acee816e9ffa9a73e8d18404ac
--- /dev/null
+++ b/mdx_extra_q.yaml
@@ -0,0 +1,2 @@
+models: ['83fc094f', '464b36d7', '14fc6a69', '7fd6ef75']
+segment: 44
diff --git a/mdx_q.yaml b/mdx_q.yaml
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--- /dev/null
+++ b/mdx_q.yaml
@@ -0,0 +1,8 @@
+models: ['6b9c2ca1', 'b72baf4e', '42e558d4', '305bc58f']
+weights: [
+  [1., 1., 0., 0.],
+  [0., 1., 0., 0.],
+  [1., 0., 1., 1.],
+  [1., 0., 1., 1.],
+]
+segment: 44
diff --git a/model_2_stem_061321.yaml b/model_2_stem_061321.yaml
new file mode 100644
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--- /dev/null
+++ b/model_2_stem_061321.yaml
@@ -0,0 +1,36 @@
+audio:
+  chunk_size: 260096
+  dim_f: 4096
+  dim_t: 256
+  hop_length: 2048
+  n_fft: 12288
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+model:
+  act: gelu
+  bottleneck_factor: 4
+  growth: 64
+  norm: InstanceNorm
+  num_blocks_per_scale: 2
+  num_channels: 128
+  num_scales: 5
+  num_subbands: 4
+  scale:
+  - 2
+  - 2
+  name: epoch_10.ckpt
+training:
+  batch_size: 16
+  grad_clip: 0
+  instruments:
+  - Vocals
+  - Instrumental
+  lr: 5.0e-05
+  target_instrument: null
+  num_epochs: 100
+  num_steps: 1000
+inference:
+  batch_size: 1
+  dim_t: 256
+  num_overlap: 8
diff --git a/model_2_stem_full_band_8k.yaml b/model_2_stem_full_band_8k.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..207aa712b561221c136576db6a6e7d6e35915ba4
--- /dev/null
+++ b/model_2_stem_full_band_8k.yaml
@@ -0,0 +1,43 @@
+audio:
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+  dim_f: 4096
+  dim_t: 256
+  hop_length: 1024
+  n_fft: 8192
+  num_channels: 2
+  sample_rate: 44100
+  min_mean_abs: 0.001
+model:
+  act: gelu
+  bottleneck_factor: 4
+  growth: 128
+  norm: InstanceNorm
+  num_blocks_per_scale: 2
+  num_channels: 128
+  num_scales: 5
+  num_subbands: 4
+  scale:
+  - 2
+  - 2
+training:
+  batch_size: 6
+  grad_clip: 0
+  instruments:
+  - Vocals
+  - Instrumental
+  lr: 1.0e-05
+  patience: 2
+  reduce_factor: 0.95
+  target_instrument: null
+  num_epochs: 1000
+  num_steps: 1000
+  augmentation: 1
+  augmentation_type: simple1
+  augmentation_mix: true
+  q: 0.95
+  coarse_loss_clip: true
+  ema_momentum: 0.999
+inference:
+  batch_size: 1
+  dim_t: 256
+  num_overlap: 8
\ No newline at end of file
diff --git a/repro_mdx_a.yaml b/repro_mdx_a.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..691abc2c80fc959a4381c3b716c6f21adfc61fb4
--- /dev/null
+++ b/repro_mdx_a.yaml
@@ -0,0 +1,2 @@
+models: ['9a6b4851', '1ef250f1', 'fa0cb7f9', '902315c2']
+segment: 44
diff --git a/repro_mdx_a_hybrid_only.yaml b/repro_mdx_a_hybrid_only.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..78eb8e0c9a51828de1dd52c82743d2983353a8e6
--- /dev/null
+++ b/repro_mdx_a_hybrid_only.yaml
@@ -0,0 +1,2 @@
+models: ['fa0cb7f9', '902315c2', 'fa0cb7f9', '902315c2']
+segment: 44