Models repository
All arch models with configs in one place:
https://huggingface.co/noblebarkrr/mvsepless_resources/tree/main
https://huggingface.co/miercolesv/MVSEP-Central-Backup/tree/main
(it was 5 months older at the moment of writing, but contained a few more models)
https://huggingface.co/Politrees/UVR_resources/tree/main/models
(it’s also the same 5 months older at the moment)
All single models available in UVR 5’s download center
- repository backup as separate links (excluding VIP models, which contain offline links after decrypting):
https://github.com/TRvlvr/model_repo/releases/tag/all_public_uvr_models
configs (non-VR/Demucs ones)
All of publicly available MVSEP models (including checkpoints just for further training):
https://github.com/ZFTurbo/Music-Source-Separation-Training/releases
(refer to the list of models in this document for descriptions of the best models)
Alternative model links lists (some can be offline):
https://bascurtiz.x10.mx/models-checkpoint-config-urls.html
https://github.com/SiftedSand/MusicSepGUI/blob/main/models.json
https://huggingface.co/spaces/TheStinger/UVR5_UI/blob/main/assets/models.json
Some of the older UVR5 GUI models described in this guide can be downloaded via expansion packs:
https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.3.0/models.zip
https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v4.0.1/models.zip
Some of the models used by KaraFan:
https://github.com/Eddycrack864/KaraFan/releases/tag/karafan_models
MDX23C HQ 2
427:
https://drive.google.com/drive/folders/16sEox9Z_rGTngFUtJceQ63O5S9hhjjDk?usp=drive_link (just in case)
Copy it to Ultimate Vocal Remover\models\MDX_Net_Models and rename the model name to: UVR-MDX-NET_Main_427
Some direct links
VOCALS-InstVocHQ
VOCALS-MelBand-Roformer (by KimberleyJSN)
Checkpoint: https://huggingface.co/KimberleyJSN/melbandroformer/resolve/main/MelBandRoformer.ckpt
VOCALS-BS-Roformer_1297 (by viperx)
VOCALS-BS-Roformer_1296 (by viperx)
KARAOKE-MelBand-Roformer (by aufr33 & viperx)
Config: https://huggingface.co/jarredou/aufr33-viperx-karaoke-melroformer-model/resolve/main/config_mel_band_roformer_karaoke.yaml (dead)
Checkpoint: https://huggingface.co/jarredou/aufr33-viperx-karaoke-melroformer-model/resolve/main/mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt (dead)
OTHER-BS-Roformer_1053 (by viperx)
CROWD-REMOVAL-MelBand-Roformer (by aufr33)
VOCALS-VitLarge23 (by ZFTurbo)
CINEMATIC-BandIt_Plus (by kwatcharasupat)
DRUMSEP-MDX23C_DrumSep_6stem (by aufr33 & jarredou)
4STEMS-SCNet_MUSDB18 (by starrytong)
For a more recent list see this MK Colab and its cells containing all the links there too.
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Why not to use more than 4-5 models for ensemble in UVR - click
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Other models
- GSEP AI - new model called “Vocal Remover”, and old instrumental, vocal, 4-6 stem model (it applies additional denoiser for 4/6 stems) - piano and guitar (free). As for 2 stems, it gives very good instrumentals for songs with very loud and harsh vocals and a bit lo-fi hip-hop beats, as it can remove vocals very aggressively. Sometimes even more than HQ_3. The new model might be good at removing SFX (instrumental stem is the old model).
In specific cases (can have more vocal residues in instrumentals vs HQ_3 at times - less in jarredou's Colab):
- original MDX23 by ZFTurbo (only this OG version of MDX23 still works in the offline app, min. 8GB Nvidia card required [6GB with specific parameters]) - sounds very clean though, and not that muddy like inst MDX models, in this means, comparable with even VR arch or better (because of much less vocal residues).
- Demucs_ft model (both 3 stems to mix in e.g. Audacity for instrumental) / sometimes 6s model gives better results, or in very specific cases when vocals are easy to filter out - even the old 4 stem mdx_extra model (but SDR wise full band MDX 292 is already better than even ft model). The 6s model is worth checking with shifts 20.
Might be still usable in some specific cases, despite the fact that MDX23 uses demucs_ft and other models combined.
- VR models settings + VR-only ensemble settings (generally deprecated, but sometimes more clarity vs MDX v1, though frequently more vocal residues. Some people still uses it e.g. for some rock, when it can still can give better results than other models, and also for fun dubs, but for it if you have two language tracks of the same movie, you can test out Similarity Extractor instead, but Audacity center extraction works better than that linked Colab)
- Alternatively, you can consider using narrowband Kim other ft model with fullband model settings parameters in this or the new HV Colab instead. Useful in some specific parts of songs like chorus, where there are still no persistent vocal residues using this method (clearer results than even Max-Spec) or e.g. MDX23 still doesn't give you enough clarity in such places to maybe merge fragments manually of results from different models.
Paid
- Audioshake (non-copyrighted music only, can be more aggressive than above and pickup some lo-fi vocals where other fails [a bit in manner of HQ models])
How to bypass the non-copyright music restriction (1, 2).
"They also reserve themselves the right to keep your money and not let you download the song you split if they discover that you are using a commercially released song and that you don't have the rights to it." but generally we didn't have such a case with slowed down songs (otherwise they might not pass anyway)
4 stems might be better at times then Demucs ft model.
- Dango.AI (a.k.a. tuanziai.com) free 30 seconds samples; can be the most aggressive for instrumentals vs, e.g. inst 3, tested on Childish Gambino - Algorithm). Since then, models/arch were updated and instrumentals in 9.0 seem to be the cleanest or the closest to original instrumentals for 12.08.23 at least in some cases (despite low SDR).
> If you care only about specific snippet in a song, then since 30 second samples to separate are taken randomly from a whole song, to have specific fragment separated, you can copy the same fragment over and over to make a full-length track of it, and it will eventually pick up a whole snippet for separation.
X Uploading snippet shorter than or exactly 30 seconds will not result in the whole fragment being processed from the beginning to the ending.
>Sometimes using other devices or virtual machine in addition to incognito/VPN/new email might even be necessary to reset free credits. It's pretty persistent.
https://tuanziai.com/encouragement
Here you might get 30 free points (for 2 samples) and 60 paid points (for 1 full songs) "easily".
>>>
Everything else for 2 or 4 stems than above is worse for separation tasks:
Lalal, RipX (although now it uses some UVR models (?), Demix, RX Editor 8-11, Spleeter and its online derivatives.