Contents
Every heading in the document, in reading order — each one is a page of its own.
- edit. 17.10.26
- Last updates and news
- BS/Mel-Roformer UVR beta patch
- Full list of model architectures supported by UVR: MDX-Net (a.k.a. v2), MDX23C (archs by kuielab), VR (voice-remover by tsurumeso, versions: 4, 5 [UVR fork], and 5.1), Demucs (by Meta; v. 1-4, only models trained on OG code, not MSST ones), BS-Roformer, Mel-Roformer (arch by Bytedance & implementation from paper by lucidrains; issues on Linux explained later), SCNet, Apollo (in Tools; for upscaling, no DirectML acceleration), BandIt (SFX, no DirectML support). It has also a feature of ensembling models of various archs. If some models don't appear on the ensemble list reach the appropriate section below (or rich the document outline in options). Demudder functionality added in newer UVR patches (currently not on Linux and MacOS).
- Ensembling impossible - model not visible in vocal splitter in UVR
- Memory issues - chunk_size table for combatting “RuntimeError”
- 'use_amp' “Key error”
- “”’norm’”” attributeError using e.g. unwa beta 5e model in UVR
- Layers errors (general)
- TypeError: (...) freqs_per_bands
- mlp_expansion_facfor
- skip_connection
- torch._dynamo.polyfills.fx
- [WinError 2] The system cannot find the file specified
- num_bands
- System error / file not found
- Python39.dll error
- RuntimeError: ""
- The best models
- for specific stems
- Recent bleedless models
- Higher fullness (but with more noise)
- Higher bleedless (not so full)
- Special purpose models
- Ensembles
- Models for older archs (outdated models)
- for vocals
- Tips for separating vocals
- Ensembles
- RVC models choice with AI Hub advice (subject to change;
- Fast inference models for general use
- Other services (multi-purpose)
- Speech
- Can’t find model link?
- Models repository
- Debleeding/cleaning vocals/instrumentals/inverts
- Aligning for bad inverts
- How to check whether a model in UVR5 GUI is vocal or instrumental?
- Karaoke
- MVSEP’s BS Roformer by MVSep Team (SDR: 10.41)
- Ensembles
- Advanced chain processing chart (image)
- Chained separation order
- Drums
- Drumsep (separating parts of drums)
- Bass
- Strings
- Electric guitar
- Acoustic guitar
- Separating electric and acoustic guitar
- Separating two electric guitars
- Lead and rhythm guitar
- Wind instruments and wind noises
- Piano
- Synths
- Organs
- Idiophones
- De-crowd
- SFX
- Any other stem/instrument/sample if not listed above
- De-reverb
- RX11's dialogue isolate - probably the best for de-echo for now
- “Specifically for mono vocal room reverb.” as most vocals are recorded in mono.
- Free apps for de-reverb/de-echo/denoise
- De-echo
- De-noising (vinyl noise/white noise/general)
- Plugins (different types of noise)
- Bird sounds
- De-breath
- Mixing/mastering
- AI audio upscalers list
- Blending with RVC model
- (old) More descriptions of models
- MDX settings & ens. explanations in UVR5
- >>Tips to enhance separation results<<
- SDR leaderboard & explanation
- Bleedness and fullness leaderboard
- 50 models sorted by SDR
- UVR5 GUI (MDX, VR, Demucs 2-4 and UVR team models)
- Manual ensemble
- UVR’s VR architecture models
- First vocal models trained by UVR for MDX-Net arch:
- Demucs 3
- Demucs 4 (+ Colab) (4, 6 stem)
- Gsep (now GAudio) (2, 4, 5, 6 stem, karaoke)
- dango.ai
- music.ai
- Iterative Ensemble Colab by IntroC
- MDX23 by ZFTurbo (jarredou fork) - 2, 4 stems
- KaraFan by Captain FLAM
- Ripple/Capcut/SAMI-Bytedance/Volcengine/BS-RoFormer (2-4 stem)
- Drumsep - single percussion instruments separation
- Mel-Roformer MVSEP drumsep models
- BS-Roformer MVSEP 5 stem Drumsep model by jarredou
- SCNet MVSEP drumsep models
- (newer) MDX23C 5 stem drumsep by jarredou
- (older) MDX23C 6 stem drumsep by jarredou/Aufr33
- BS-Roformer MVSEP 4 stems
- Older drumsep by Inagoy
- Moises.ai drumsep
- FactorSynth
- Regroover
- UnMixingStation
- LarsNet
- VirtualDJ 2023/Stems 2.0 (kick, hi-hat)
- RipX DeepAudio (-||-) (6 stems [piano, guitar])
- Spectralayers 10
- USS-Bytedance (any; esp. SFX)
- Zero Shot (any sample; esp. instruments)
- SAM-Audio (prompt-based separation)
- AudioSep
- Medley Vox (different vocalists)
- real-time
- __Sources of FLACs for the best quality for separation process__
- ___AI mastering services___
- ___Best quality on YouTube for your audio uploads____
- ___Best quality from YouTube and Soundcloud - how to squeeze out the most from the music taken from YT for separation___
- List of cloud services with a lot of space
- or for temporary storage
- Training models guides