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Roformer Models

BS-RoFormer & MelBand RoFormer — State-of-the-art music source separation

TipoOtherVersãoRevision d323194Cnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
503 MB–3,51 GB
Versão
vRevision d323194
Atualizado
11 de out. de 2026
Downloads
0
Fonte
Hugging Face

Descrição da fonte

RoFormer Stem Separation Models (Safetensors)

BS-RoFormer & MelBand RoFormer — State-of-the-art music source separation

Pretrained weights converted to safetensors format for use with Mæstræa AI Workstation.

Models

BS-RoFormer (Band-Split RoPE Transformer)

VariantSDRTaskPath
Vocals (viperx)12.97Vocal/instrumental separationbs_roformer/vocals_viperx/
Multi-stem9.654-stem (bass/drums/vocals/other)bs_roformer/multistem/

MelBand RoFormer (Mel-Band RoPE Transformer)

VariantSDRTaskPath
Vocals (KimberleyJensen)10.98Best vocal isolationmel_band_roformer/vocals_kj/
Vocals (viperx)11.43Vocal/instrumental separationmel_band_roformer/vocals_viperx/
Dereverb (anvuew)19.17Remove reverb from audiomel_band_roformer/dereverb/
Denoise (aufr33)27.99Remove noise from audiomel_band_roformer/denoise/

Architecture

Both models use the Band-Split RoPE Transformer architecture from lucidrains/BS-RoFormer:

  • BS-RoFormer: Splits spectrogram into uniform-width subbands
  • MelBand RoFormer: Splits using mel-scale (perceptually-weighted) overlapping bands

Both significantly outperform HTDemucs on vocal separation tasks.

Usage

Each model directory contains:

  • model.safetensors — Model weights
  • config.yaml — Architecture configuration (required for model instantiation)

Requires bs-roformer Python package: pip install bs-roformer

Credits

License

MIT — same as all upstream model releases.

Fontes

1 fonte
Hugging FacePrimárioVersão d323194290f8488ea51814143806609bfbd7a1e5
huggingface.co/AEmotionStudio/roformer-models/tree/d323194290f8488ea51814143806609bfbd7a1e5

Verificado 14 de ago.

Artefatos de modelo

11 artefatos

bs_roformer/multistem/model.safetensors

safetensors · 503 MB · SHA-256 14c9079fa428…9098 · Hugging Face

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bs_roformer/vocals_viperx/model.safetensors

safetensors · 610 MB · SHA-256 fa2965772061…5a8a · Hugging Face

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mel_band_roformer/4stems_large/model.safetensors

safetensors · 3,51 GB · SHA-256 3762f36cd3bb…c5b9 · Hugging Face

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mel_band_roformer/denoise/model.safetensors

safetensors · 871 MB · SHA-256 721e2b13e30e…bb93 · Hugging Face

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mel_band_roformer/dereverb/model.safetensors

safetensors · 871 MB · SHA-256 20af72ee52ab…a75c · Hugging Face

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mel_band_roformer/inst_becruily/model.safetensors

safetensors · 871 MB · SHA-256 2838a953b925…fdbb · Hugging Face

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mel_band_roformer/instvoc_duality/model.safetensors

safetensors · 1,60 GB · SHA-256 25a4a6e78189…fd75 · Hugging Face

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mel_band_roformer/vocals_becruily/model.safetensors

safetensors · 871 MB · SHA-256 89e4c8ed4b40…55d9 · Hugging Face

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mel_band_roformer/vocals_kj/model.safetensors

safetensors · 871 MB · SHA-256 03bfc70b43df…3095 · Hugging Face

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mel_band_roformer/vocals_unwa_ft/model.safetensors

safetensors · 871 MB · SHA-256 35986ae128e2…fbb2 · Hugging Face

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mel_band_roformer/vocals_viperx/model.safetensors

safetensors · 961 MB · SHA-256 505a93615bac…8937 · Hugging Face

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Trechos de fonte

2 trechos

--- license: mit tags: - audio - music - source-separation - stem-separation - roformer - safetensors - maestraea pipeline_tag: audio-to-audio --- # RoFormer Stem Separation Models (Safetensors) **BS-RoFormer & MelBand RoFormer — State-of-the-art music source separation** > Pretrained weights converted to safetensors format for use with [Mæstræa AI Workstation](https://github.com/AEmotionStudio/Maestraea). ## Models ### BS-RoFormer (Band-Split RoPE Transformer) | Variant | SDR | Task | Path | |---------|-----|------|------| | Vocals (viperx) | 12.97 | Vocal/instrumental separation | `bs_roformer/vocals_viperx/` | | Multi-stem | 9.65 | 4-stem (bass/drums/vocals/other) | `bs_roformer/multistem/` | ### MelBand RoFormer (Mel-Band RoPE Transformer) | Variant | SDR | Task | Path | |---------|-----|------|------| | Vocals (KimberleyJensen) | 10.98 | Best vocal isolation | `mel_band_roformer/vocals_kj/` | | Vocals (viperx) | 11.43 | Vocal/instrumental separation | `mel_band_roformer/vocals_viperx/` | | Dereverb (anvuew) | 19.17 | Remove reverb from audio | `mel_band_roformer/dereverb/` | | Denoise (aufr33) | 27.99 | Remove noise from audio | `mel_band_roformer/denoise/` | ## Architecture Both models use the Band-Split RoPE Transformer architecture from [lucidrains/BS-RoFormer](https://github.com/lucidrains/BS-RoFormer): - **BS-RoFormer**: Splits spectrogram into uniform-width subbands - **MelBand RoFormer**: Splits using mel-scale (perceptually-weighted) overlapping bands Both significantly outperform HTDemucs on vocal separation tasks. ## Usage Each model directory contains: - `model.safetensors` — Model weights - `config.yaml` — Architecture configuration (required for model instantiation) Requires `bs-roformer` Python package: `pip install bs-roformer` ## Credits - **Architecture**: [lucidrains/BS-RoFormer](https://github.com/lucidrains/BS-RoFormer) - **Training framework**: [ZFTurbo/Music-Source-Separation-Training](https://github.com/ZFTurbo/Music-Source-Separation-Training) - **BS-RoFormer vocals**: [viperx](https://github.com/playdasegunda) via [TRvlvr](https://github.com/TRvlvr/model_repo) - **MelBand vocals**: [KimberleyJensen](https://github.com/KimberleyJensen), [viperx](https://github.com/playdasegunda) - **MelBand dereverb**: [anvuew](https://github.com/anvuew) - **MelBand denoise**: [aufr33](https://github.com/aufr33) - **Con...

Source context: 0 downloads · 3 likes · Pipeline audio-to-audio · Repo AEmotionStudio/roformer-models