Higher fullness (but with more noise)

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(sorted by fullness)

0) Gabox INSTV6N (N for noise/fullness) | yaml | MK Colab | SESA | Huggingface / 2
Inst. fullness: 41.68 (more than v1e), bleedless: 32.63, SDR: 16.35'

N - “noisier but fuller”. To get rid of noise in INSTV6N, use Gabox denoise/debleed model (yaml) on mixture first, then use INSTV6N - “for some reason it gives cleaner results” (Gabox), but it can’t remove vocal residues.

Some people find it having less noise vs v1e and more fullness.
Also, it has more fullness vs INSTV6, and more noise, but some people might still prefer v1e.

“v1e sounds like an "overall" noise on the song, while v6n kind of mixes into it.

v6n also sounds like two layers, one of noise that's just there. And the other one mixes into the song somehow. Using the phase swap barely makes it any better than phase swapping with v1e though” - vernight
Also Kim model for phase swap seems to give less noise than unwa ft2 bleedless

“Comparing V6N with v1e and couldn't hear a fullness difference despite the metrics being approx 39 for v1e and 41 for V6N” - dca

“my all-time favorite” - ezequielcasas

0) Gabox INSTV5N | yaml | SESA
Inst. fullness 40.47, bleedless 32.73, SDR 16.41’
“Despite (...) having more fullness in metrics, didn't sound fuller than v1e. And I found that weird” - dca

0) Gabox inst_Fv4Noise | yaml | MK Colab | SESA Colab | Huggingface / 2

Inst. fullness 40.40, bleedless 28.57, SDR 15.25

Can be better than INSTV6 for some people, but overkill for others. Bigger fullness metric than even v1e.

“Despite v4's significant amount of noise, it seems to be the only model [till 8 February] that gave me a fuller sounding result compared to v1e that's actually perceivable by my ears.” - Shintaro

“although the fullness metric increases when there is more noise, it doesn't always mean it's a better instrumental — an example of this is the fv4noise metrics” - Gabox

0) Unwa Inst V1e (don’t confuse with newer +/plus variant above) | yaml (from v1)

Inst. fullness 38.87, bleedless 35.59, SDR 16.37

One of the first Mel Kim model fine-tunes trained with instrumental (other) target. High fullness metric, noisy at times and on some songs. To alleviate it, it can be used with automated phase fixer Colab or UVR>Tools (Kim Mel as reference removes more noise than 2024.10 vs muddier Unwa v1/2 on their own; optionally use VOCALS-MelBand-Roformer by Becruily or unwa's kim ft; you can also use FT2 as reference, but it “cuts instruments” vs FT3 which can be rather better alternative). Optionally, in Phase Fixer you can set 420 for low and 4200 for high or 500 for both and Mel-Kim model for source; and bleed suppressor (by unwa/97chris) to alleviate the noise further (e.g. phase fixer on its own works better with v1 model to alleviate the residues). Besides the default UVR default 500/5000 and Colab default 500/9000 values, you could potentially “even try like 200/1000 or even below for 2nd value.” “I would say that the more noisy the input is, the lower you have to set the frequency for the phase fixer.” Later you can ensemble the result with BS 2025 on MVSep or the BS-Roformer SW inst result Max Spec/FFT, it can even surpass Deux+HyperAce v2 ensemble, and have less noise and sound fuller - dca.

V1e on its own might catch more instruments and vocals than INSTV6N. Even fuller model with more noise is instfv4noise below by Gabox.

“The "e" stands for emphasis, indicating that this is a model that emphasizes fullness.”
“However, compared to v1, while the fullness score has increased, there is a possibility that noise has also increased.” “lighter compared to v2.” Like other unwa’s models, it can struggle with flute, sax and trumpet (unlike Mel 2024.10, and BS 2024.08 on MVSEP respectively - you can max ensemble all the three as a fix [dca100fb8]). Also, sometimes unwa's big beta5e can retrieve missing instruments vs v1e when those two above fails. “The fullness of v1e is constant, on every song I tried” flowersv10 is almost as full” - dca.
Possible residues of dual layer vocals from suno songs.

0) inst_gaboxFv3 | yaml | Huggingface / 2 - F for fullness

inst. fullness 38.71, inst. bleedless 35.62 (“F” stands for fuillness) | Inst SDR 16.43
Like v1e when it comes to fullness, but less bleeding.

Vs v1e “it's slightly better with some instruments”, It might pick up an entire sax in the vocal stem.

It doesn't have that weird fullness noise that fullness models produce, but still gives pretty full results and the phase swapper (with big beta 6 as reference) gets rid of that weird buzzing sound” John UVR

0) Gabox experimental “fullness.ckpt” inst Mel-Roformer (yaml).

Inst. fullness: 37.66, bleedless: 35.53, SDR: 15.91

“this isn't called fullness.ckpt for nothing.” - Musicalman

0) Gabox inst_gaboxFv1 a.k.a. model F / fullness (yaml) | MK Colab | Huggingface / 2
Inst. fullness: 37.29, bleedless: 37.18, SDR: 16.47 (or 37.26/37.19)

It has more unpleasant buzzing than the FlowersV10, but both have differently sounding buzzing too, but still the latter has generally less.

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Sorted by the biggest instrumental fullness metric on the list:

INSTV6N (41.68)>INSTV5N (40.47)>inst_Fv4Noise (40.40)>Inst V1e (38.87)>Inst Fv3 (38.71)>INSTV7N (36.83).
While V1e+ (37.89) might be already muddy in some cases.

Sorted by bleedless metric here

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Lower bleedless models/balanced

Still less noise even when using without phase fixer

0) Unwa BS-Roformer Resurrection inst (yaml) | a.k.a. “unwa high fullness inst" on MVSEP | uvronline.app/x-minus.pro | MK Colab | UVR (don’t confuse with Resurrection vocals variant)

Inst. fullness: 34.93, bleedless: 40.14, SDR: 17.25

(duplicate from the above, because it fits metrically and categorization-wise here, more info above)

0) Unwa Mel-Roformer inst v1 (yaml) | MK Colab | UVR installation | MVSEP | uvronline via special link for: free/premium (scroll down) or nextgen.uvronline
inst. fullness 35.69, bleedless 37.59
*) Denoising for v1/2/1e recommended with: 1) ensemble noise/phase fix option for x-minus premium 1b) Becruily phase fixer | Colab (also since UVR beta patch #7) 2) Mel-Roformer de-noise non-agg. (might be better solution) 3) UVR-Denoise medium aggression (default for free users) 4) minimum aggression for premium/link (damages some instruments less) 5) UVR-Denoise-Lite [agg. 4, no TTA] in UVR - more aggressive method 6) UVR-Denoise [agg. 30/25, hi-end proc., 320 w.s., p.pr.] - even more muddy but preserves trumpets better

v1 might have more instruments missing vs v1e and less noise

0) inst_gabox2 (yaml) | Huggingface / 2

inst. fullness 36.03, bleedless: 38.02

0) Becruily inst model (again, because it fits here metrically)

Inst. fullness 33.98, bleedless 40.48, SDR 16.47
MK Colab | on MVSEP a.k.a. “high fullness” (the same model) | x-minus (w/ optional phase correction feature in premium) | UVR
For less vocal residues use phase fixer Colab (also in UVR>Tools) and “becruily's vocals as source and inst as target”

0) Inst_GaboxFv8 v2 model (yaml) | MK Colab

Inst. fullness: 33.21, bleedless: 40.73, SDR: 16.57

(again, just for metrics)

0) Gabox instV7plus bleedless model (experimental)

inst. fullness: 29.83, bleedless: 39.36, SDR 16.51
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0) MVSEP SCNet XL (don’t confuse with undertrained weights on ZFTurbo’s GitHub)

inst. fullness 28.74, bleedless 39.42, SDR 17.27

“I've come across a lot of songs where high fullness [SCNet variant above] gives that annoying static noise. I'm starting to like basic SCNet XL more to the high fullness [model]. And also, less vocal residues.” - dca. There is crossbleeding of vocals in some songs. You can find the dca’s list for that model in further parts of this section.

0) MVSEP SCNet XL IHF

inst. fullness 28.87, bleedless 40.37, SDR 17.41

Some songs struggling with previous models might yield better results.

0) MVSEP SCNet Large

inst. fullness 27.10, bleedless 41.47, SDR 17.05