GyoZanMix

Maintainer: Jemnite

Total Score

70

Last updated 4/28/2024

👨‍🏫

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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GyozanMix

A stylized anime model. This model is the result of attempts to get the textures from MouseyMix on characters with more realistic body proportions. Named after 'Gyokai' and 'Zankuro', Gyozan.

GyozanMixs can be considered 'prototype' GyozaMix. GyozaMixV1 coincides with the release of SD-Silicon, which I think has the best aesthetic compositional sense out of any SD1.X based model, to afix MouseyMix's other characteristics (mostly proportions) to a more normalized standard. V2 is a further refinement of that idea by using block-weight merging to specifically target the compositional sense, which allow mouseymix overall control over the textures. V3 is a (large-successful) attempt to curtail the tendency of Silicon-29 to head towards 2.5d realism through the introduction of a variety of loras and locons and retain more MouseyMix while not giving up any of Silicon's aesthetic compositional sense.


Table of Contents


Licence

This model inherits the Silicon-29 license and is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:

  1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
  2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
  3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here https://huggingface.co/spaces/CompVis/stable-diffusion-license

Terms of Use

  • Clearly indicate where modifications have been made.
    If you used it for merging, please state what steps you took to do so.

Disclaimer

READ MORE: Disclaimer The user has complete control over whether or not to generate NSFW content, and the user's decision to enjoy either SFW or NSFW is entirely up to the user.The learning model does not contain any obscene visual content that can be viewed with a single click.The posting of the Learning Model is not intended to display obscene material in a public place. In publishing examples of the generation of copyrighted characters, I consider the following cases to be exceptional cases in which unauthorised use is permitted. "when the use is for private use or research purposes; when the work is used as material for merchandising (however, this does not apply when the main use of the work is to be merchandised); when the work is used in criticism, commentary or news reporting; when the work is used as a parody or derivative work to demonstrate originality." In these cases, use against the will of the copyright holder or use for unjustified gain should still be avoided, and if a complaint is lodged by the copyright holder, it is guaranteed that the publication will be stopped as soon as possible. I would also like to note that I am aware of the fact that many of the merged models use NAI, which is learned from Danbooru and other sites that could be interpreted as illegal, and whose model data itself is also a leak, and that this should be watched carefully. I believe that the best we can do is to expand the possibilities of GenerativeAI while protecting the works of illustrators and artists.


Hashes

GyozanMixs

Store Bought GyozaMix

Civitai: https://civitai.com/models/14734/


Components

Checkpoints

GyozanMix Checkpoints

  • pastelmix-better-vae-fp16.safetensors 0f0eaaa61ee]0f0eaaa61ee6e5e2de88156f02ea0465a6ea787bef7c029a7072eda2ce42e4ac
  • Chilloutmix-Ni.safetensors [59ffe2243a]59ffe2243a25c9fe137d590eb3c5c3d3273f1b4c86252da11bbdc9568773da0c
  • KENSHI02_Pruned_f16.safetensors [39064becd9]39064becd9cad9808ddc3092cc7b8d9f5b8be86207932c8fef791a4bf8153d8d
  • XperoEnd1essModel_v1.safetensors [0b3b33d41d]0b3b33d41d81b3139beae4aedeb296ba512fc8ca053444c9adad7b060762fcd1

GyozaMixV1 Checkpoints

  • Silicon29.safetensors [0b162e45d0]0b162e45d0c4ffc5d27fcf93942aa6a52ea397f4843a322e8b2140a4db6959a1
  • Silicon29-dark.safetensors [de329f31ad]de329f31ad222a0d765897aa38796811276691288b104099523649bdf1ef9708
  • OpenNiji-V2.safetensors [1423c9c9ce] 1423c9c9ce931235f4a4adb3d10da3cdb5d012f391145ff4524de7544bba90cf
  • 8528d.safetensors [3d65158457] 3d65158457311e78ccf236ee1e691c0130d969ab825a9eb2a72951a6cfe4af9c

LingesGyoza/LINES Checkpoints

GyozaMixV2 Checkpoints

GyozaMixV3 Checkpoints

GyozaMixV3.5 Checkpoints

GyozaMixV5 Checkpoints

GyozanWinterHoliday2023 Checkpoints

LoRA/LoCons

LingesGyoza/LINES LoRAs

GyozaMixV2 LoRAs

  • xlimo768.pt [40710135ab] 40710135ab1eae1f77a61fb6b97be00b3e3ceebcc54e6cfa55e6b332e5adc462
  • sttabi_v1.4-04.safetensors [40710135ab] 40710135ab1eae1f77a61fb6b97be00b3e3ceebcc54e6cfa55e6b332e5adc462
  • jtveemo_lora.safetensors [bd4bf86890] bd4bf868903ca6e057c5581fe4454f780fcbe3c85e857adaf4c64b20be891f0e
  • hi_lora.safetensors [231bf8eb5a] 231bf8eb5a14c56bd99362568e5b27c3ded16967f85d7d774246b3656a000098
  • yaroArtStyleLora_v10.safetensors [c491faa7a7] c491faa7a753c640fc8edf3a0e665ab5030055897959157b1d3b9ea282b0426c
  • asanagi-1126it-novae.safetensors [4a9ce5ed2d] 4a9ce5ed2d282e84aa046e225028956331f463c50283ffceec33214fd64314ab

GyozaMixV3 LoRA/LoCons

GyozaMixV3.5 LoRA/LoCons

GyozaMixV5 LoRA/LoCons

GyozanWinterHoliday2023 LoRA/LoCons

  • Mockai-CSRBNF.safetensors

    LoRA: A

    LoRA: B

    Weight

    Merge Name

    CuteSexyRobutts [MockAi - v1.0].safetensors

    1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1

    Mockai-CSRBNF

  • kleggs.safetensors [9FD946BA33]9FD946BA3334EF1426296322E594CBE667A40EC56D2697135D946BC6D2D76886

  • krekkovLIMB.safetensors

    LoRA: A

    LoRA: B

    Weight

    Merge Name

    krekkovV2_e8

    1,0,0,1,0,1,0.5,0,0.5,0.5,1,0,0,0.5,0,0,1,1,1,1,0,0,0,0,0,0

    NAI-csrbNFDB2

  • hizakeFN.safetensors

    LoRA: A

    LoRA: B

    Weight

    Merge Name

    hizake_e8

    1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0

    HizakeFN

  • BacklightingFN.safetensors

    LoRA: A

    LoRA: B

    Weight

    Merge Name

    EnhancedBacklighting_v10

    1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0

    BacklightingFN

Models

GyozanMixes

GyozanMixes are mostly just simple mixes with mouseypastel with various models. They're basically just squishier versions of their mix components. They preserve a some of the mousy-mix feel but only in the sense that they are slightly softer and smaller than they would be otherwise.

More Examples

GyoZanMixK GyoZanMixR GyoZanMixX

GyozanMixes Recipes

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mouseymix

pastelmix

mouseypastelmix

Model: A

Model: B

Weight

Base alpha

Merge Name

mouseypastelmix

Chilloutmix-Ni

1,0.9,0.7,0.5,0.3,0.1,1,1,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1

0

GyoZanMix!U-net

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

KENSHI02_Pruned_f16

GyoZanMix!U-net

GyoZanMixK

Weighted Sum @ 0.5

xperoEnd1essModel_v1

GyoZanMix!U-net

GyoZanMixX

Weighted Sum @ 0.5

ReV Animated

GyoZanMix!U-net

GyoZanMixR

GyozaMixV1

GyozaMix was the first to merge mouseypastel (and other associated mousy mixes) with Silicon. This made GyozaMix extremely good at landscapes, which is carried on into future Gyozamixes. GyozaMixV1 comes with a latenight version that has noise offset mixed in since it does not have it by default. GyozaMixV1 was not very successful at its goal, so while it cannot be called a failed model, it cannot be called a successful one either. It resembles Silicon with slightly less realism and more illustrative textures mostly.

Day vs. Night?

StoreGyozaV1 StoreGyozaV1.2 latenightStoreGyozaV1 latenightStoreGyozaV1.2

Examples

GyozaMixV1 Recipes

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

Silicon29

GyoZanMix!U-net

StoreGyozaV1

Weighted Sum @ 0.5

Silicon29-dark

GyoZanMix!U-net

latenightStoreGyozaV1

Add Difference @ 0.3

pastelmix

OpenNiji-V2

Openpastelmix2

Add Difference @ 0.3

Openpastelmix2

8528d

sd-v1-4

Weighted Sum @ 0.5

mouseymix

melroseDiffusion2

mouselmelrosemix

Model: A

Model: B

Weight

Base alpha

Merge Name

mouselmelrosemix

Chilloutmix-Ni

1,0.9,0.7,0.5,0.3,0.1,1,1,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1

0

GyoZanMix2!U-net

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

Silicon29

GyoZanMix2!U-net

StoreGyozaV1.2

Weighted Sum @ 0.5

Silicon29-dark

GyoZanMix2!U-net

latenightStoreGyozaV1.2

LingesGyoza/LINES

Linges Gyoza and Gyoza_LINES were attempts to flatten out the 3d texture that Silicon had given to Gyoza and incorporate LoRA mixing. Flat Gyoza is slightly flatter, Linges Gyoza is flatter than that. Reviews indicate that they are flexible models that respond well to prompting.

LingesGyoza LingesGyozaAfterDark GyozaLINES

Examples

LingesGyoza/LINES Recipes

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

ligne_claire_anime_diffusion_v1

melrose-diffusion

melroselinge

Weighted Sum @ 0.5

mouseymix

melroselinge

mouseymelroselinge

Model

Lora

Weight

Merge Name

mouseymelroselinge

ligneClaireStyleCogecha_v10

0.5

mouseymelroselinge_L1

mouseymelroselinge_L1

fixArtstyleLoRA_v1

0.25

mouseymelroselinge_LFix

mouseymelroselinge_L1

kouArtstyleLoRA_v10

0.25

mouseymelroselinge_LKou

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

Silicon29

mouseymelroselinge_LFix

LingesGyoza

Weighted Sum @ 0.5

Silicon29-dark

mouseymelroselinge_LFix

LingesGyozaAfterDark

Weighted Sum @ 0.5

Silicon29

mouseymelroselinge_LKou

LingesGyoza (Kou)

What's the difference?

Model

Lora

Weight

Merge Name

Silicon29

jKStyle_jkfinal

0.27

Silicon29_L1

Silicon29_L1

helltakerLoRA_10

0.2

Silicon29_L2

Silicon29_L2

myHeroAcademiaHorikoshiKouheiStyleLoRA_v1

0.2

SyntheticVigilante

SyntheticVigilante

motomurabitoStyleLORA_v1

0.5

SyntheticVigilante_L1

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.35

LingesGyoza(Kou)

SyntheticVigilante_L1

TiebanGyoza(Kou)

Weighted Sum @ 0.3

StoreGyoza

TiebanGyoza(Kou)

FlatterGyozaV1.0

GyozaMixV2

GyozaMixV2 is a complete overhaul with the way GyozaMix was done by incorporating more Block Weight Merging. It retains more of the GyozaMix feel in shading in texture but the lines are still quite thin.

GyozaMixV2.

Examples

GyozaMixV2 Recipe

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

ligne_claire_anime_diffusion

pastelmix-dpep4

pastel4ligne

Weighted Sum @ 0.5

mouseymix

pastel4ligne

mouseypastel4ligne

Model

Lora

Weight

Merge Name

mouseypastel4ligne

ligneClaireStyleCogecha_v10

0.5

mouseypastel4ligne_L1

mouseypastel4ligne_L1

yaroArtStyleLora_v10

0.25

mouseymelroselinge_LY

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mikapikazo-40000

sardonyxBlendV1.2

mikasardonyx

Weighted Sum @ 0.5

mikasardonyx

modare-100000

mikasarmodare

Model: A

Model: B

Weight

Base alpha

Merge Name

mikasarmodare

Chilloutmix-Ni

1,0.9,0.7,0.5,0.3,0.1,1,1,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1

0

mikasarmodare_chillout

Model

Lora

Weight

Merge Name

mikasarmodare_chillout

xlimo768

0.5

mikasarmodare_chiL1

mikasarmodare_chiL1

sttabi_v1.4-04

0.6

mikasarmodare_chiL2

mikasarmodare_chiL2

jvteemo_lora

0.5

mikasarmodare_chiL3

mikasarmodare_chiL3

hi_lora

0.5

mikasarmodare_chiL4

mikasarmodare_chiL4

asanagi-1126it-novae

0.5

mikasarmodare_chiL5

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mouseymelroselinge_YFix

mikasarmodare_chiL5

mouseymikasarmodare

Weighted Sum @ 0.5

dalcefoPaintingV4

OpenNijiV2

dalcefoNiji

Weighted Sum @ 0.5

mouseymikasarmodare

dalcefoNiji

GyozaMix2filling

Model: A

Model: B

Weight

Base alpha

Merge Name

detailedproject4

Silicon29-dark

RCOSINE

0

dpep4sili

GyozaMix2filling

dpep4sili

COSINE

0

GyozaMix2

GyozaMixV3

GyozaMixV3 utilizes loCons as well as LoRAs to finally return to mousymix's texture while retaining GyozaMixV1's ability to do fantastic backgrounds and proper proportions. In this respect it has successfully fulfilled the original goal of GyozaMix.

GyozaMixV3 GyozaMixV3fp16 GyozaMixV3.2 GyozaMixV3.2fp16

Examples

GyozaMixV3 Recipe

Model

Lora

Weight

Merge Name

sardonyxBlend_v12

NAI-cutesexyrobutts

1

sardonyx+CSRB

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mikapikazo-40000

pikasNewGeneration_v10

mikapikaNG

Weighted Sum @ 0.5

sardonyx+CSRB

Cocoa

sardonyxCocaBlend

Model

Lora

Weight

Merge Name

mikapikaNG

mikaPikazoStyleLora_mk

1

mikapikaNG+mika

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mikapikaNG+mika

sardonyxCocaBlend

mikapikaNGsardonyxcocoa

Model: A

Model: B

Weight

Base alpha

Merge Name

mikapikaNGsardonyxcocoa

wontonColorbox_v10Fp16

1,0.9,0.7,0.5,0.3,0.1,1,1,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1

0

MBW-AOM mikapikaNGsardonyxcocoa wontonColorbox

Model

Lora

Weight

Merge Name

MBW-cos mikapikaNGsardonyxcocoa wontonColorbox

thickCoatCGStyle_v20

0.2

mikapikaNGsardonyxcocoa_wontonCB+L1

mikapikaNGsardonyxcocoa_wontonCB+L1

Airconditioner_loconVersion

0.4

mikapikaNGsardonyxcocoa_wontonCB+L2

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mouseymix

AnimePastelDream_Hard_bakedVae

mouseypastelDream

Weighted Sum @ 0.5

mouseypastelDream

mikapikaNGsardonyxcocoa_wontonCB+L2

GyoZanV3Filling

Model: A

Model: B

Weight

Base alpha

Merge Name

sleepymix3

Silicon29-dark

RCOSINE

0

sleepy3sili

sleepy3sili

GyoZanV3Filling

COSINE

0

GyozaMixV3_RAW

Model

Lora

Weight

Merge Name

GyozaMixV3_RAW

Silicon-landscape-isolation

0.6

GyozaMixV3_RAW+L1

GyozaMixV3_RAW+L1

dpep4-768-000004

0.2

GyozaMixV3_RAW+L2

GyozaMixV3_RAW+L2

beautifulDetailedEyes_v10

0.2

GyozaMixV3_RAW+L3

GyozaMixV3_RAW+L3

EnhancedBacklighting_v10

0.4

GyozaMixV3

GyozaMixV3

anirealityAnimeInReal_v2

0.4

GyozaMixV3_REALTRUSTMEBRO

Model

Lora

Weight

Merge Name

sleepymix2

Oneyama Mai _loconv4h

0.4

sleepymix2+OM

sleepymix2+OM

Mika Pikazo_v3Locon

0.4

sleepymix2+OM+MKPK

sleepmix2+OM+MKPK

zankuro-locon

0.4

sweepymix3

Model: A

Model: B

Weight

Base alpha

Merge Name

sweepymix3

Silicon29-dark

RCOSINE

0

sweepy3sili

sleepy3sili

GyoZanV3Filling

COSINE

0

GyozaMixV3.1_RAW

Model

Lora

Weight

Merge Name

GyozaMixV3.1_RAW

Silicon-landscape-isolation

0.6

GyozaMixV3.1_RAW+L1

GyozaMixV3.1_RAW+L1

dpep4-768-000004

0.2

GyozaMixV3.1_RAW+L2

GyozaMixV3.1_RAW+L2

beautifulDetailedEyes_v10

0.2

GyozaMixV3.1_RAW+L3

GyozaMixV3.1_RAW+L3

add_detail

0.5

GyozaMixV3.1

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mouseymix

meinapastel_v4

mouseymeinapastel

Weighted Sum @ 0.5

mouseymeinapastel

mikapikaNGsardonyxcocoa_wontonCB+L2

GyoZanV3.2Filling

Model: A

Model: B

Weight

Base alpha

Merge Name

sweepymix3

Silicon29-dark

RCOSINE

0

sweepy3sili

sleepy3sili

GyoZanV3.2Filling

COSINE

0

GyozaMixV3.2_RAW

Model

Lora

Weight

Merge Name

GyozaMixV3.1_RAW

Silicon-landscape-isolation

0.6

GyozaMixV3.2_RAW+L1

GyozaMixV3.2_RAW+L1

dpep4-768-000004

0.2

GyozaMixV3.2_RAW+L2

GyozaMixV3.2_RAW+L2

beautifulDetailedEyes_v10

0.2

GyozaMixV3.2_RAW+L3

GyozaMixV3.2_RAW+L3

add_detail

0.5

GyozaMixV3.2

GyozaMixV3.5

GyozaMixV3.5D is the long put off, long unavoidable, move from illustrative to 2.25D as a result of numerous and various lighting upgrades. It prompts similarly due to V3.2 due to face that it is only a style enforcement upgrade on V3.2.

Examples

GyozaMixV3.5 Recipe

Model

Lora

Weight

Merge Name

schExcelsior_v10

NAI-csrbNFDB2

1.5

schExceL1

schExceL1

NAI-modareFB

0.5

schExceL2

schExceL2

oilpaint

0.55

schExceL3

schExceL3

krekkovV2_e8

0.4

schExceL4

schExceL4

mikoyan_e8

0.4

schExcelsiLORA

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mikapikazo-diffusion

schExcelsiLORA

mkpkschExcelsiLORA

Model: A

Model: B

Weight

Base alpha

Merge Name

mkpkschExcelsiLORA

basil-mix

1,0.9,0.7,0.5,0.3,0.1,1,1,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1

0

MBW-AOM mkpkExcelsiLoRA basilmix

Model

Lora

Weight

Merge Name

MBW-AOM mkpkExcelsiLoRA basilmix

thickCoatCGStyle_v20

0.2

mkpkExcelsiLoRA_basil+L1

mkpkExcelsiLoRA_basil+L1

Airconditioner_loraVersion

0.4

mkpkExcelsiLoRA_basil+L2

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mouseymix

dalcefo_painting_v5

mouseydalcefoP5

Weighted Sum @ 0.5

mouseydalcefoP5

mkpkExcelsiLoRA_basil+L2

GyoZanV2.5dfilling

Model: A

Model: B

Weight

Base alpha

Merge Name

detailedprojectv5-000012

silicon-29dark

RCOS

0

hdpep5sili

GyoZanV2.5dfilling

Mhdpep5sili

COS

0

GyozaMix2.5dA_RAW

Model

Lora

Weight

Merge Name

GyozaMix2.5dA_RAW

silicon-landscape-isolationBG2

0.6

GyozaMix2.5dA_L1

GyozaMix2.5dA_L1

dpep4-768-000004

0.2

GyozaMix2.5dA_L2

GyozaMix2.5dA_L2

BeautifulDetailedEyesFN

0.5

GyozaMix2.5dA_L3

GyozaMix2.5dA_L3

add_detail

0.5

GyozaMix2.5dA_L4

GyozaMix2.5dA_L3

breakA-lighting-isolation-768

0.25

GyozaMix2.5dA_L4

GyozaMix2.5dA_L3

pikas-lighting-isolation

0.75

GyozaMix2.5dA_L4

GyozaMix2.5dA_L3

hipoly2OUTD

0.3

GyozaMix2.5dA_L4

GyozaMix2.5dA_L4

hipoly3DModelLora_v20

-1

GyozaMix2.5dA_COOKED

Model: A

Model: B

Weight

Base alpha

Merge Name

GyozaMixV3.2fp2

GyozaMix2.5dA_COOKED

1.0,0.9033511319969127,0.3208271934949668,0.32212843781144684,0.0,1.0,1.0,0.14938394537570357,0.0,0.37475392081506487,0.30460893915650167,0.742834937815587,0,0.5959275468063191,0.16121068239626557,1.0,0.8384245305044884,0.7340690362501738,0.29900594232129596,0.16312821599906427,0.0,0.6327754709637872,0.0,1.0,0.24725758816820623

0

GyozaMixV3.5

GyozaMixV5

GyozaMixVV(5) is an attempt to properly upgrade GyozaMixV3 from scratch as a whole new version. It uses anatomy enforcement and style enforcement to attempt to preserve more unique qualia of component models and incorporates the lighting upgrades from V3.5D. Due to various factors, V4 has been skipped.

Examples

GyozaMixV5 Recipe

Model

Lora

Weight

Merge Name

Cocoa

krekkovV2_e8

0.4

Cocoa+krekk

Cocoa+krekk

mikoyan_e8

0.4

Cocoa+musc

Model

Lora

Weight

Merge Name

sardonyxREDUX_v20

NAI-cutesexyrobutts

1.5

sardonyxR2+L1

sardonyxR2+LoRA

NAI-modareFN

0.5

SardoynxREDUCE

Model: A

Model: B

Weight

Base alpha

Merge Name

SardoynxREDUCE

Cocoa+musc

0,0,0,0,0,0,0,0,0,0,0,0,0,1,0.9,0.8,0.7,0.6,0.5,0,0,0,0.2,0.2,0.2

0

MBW-ANATOMY plusLora SardoynxREDUCE Coco

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mikapikazo-diffusion

pikasNewGeneration_v20

mkpkpikaNG2

Model

Lora

Weight

Merge Name

mkpkpikaNG2

mikaPikazoStyleLora_mk

1

mkpkpikaNG2+mkpk

Model: A

Model: B

Weight

Base alpha

Merge Name

mkpkpikaNG2+mkpk

MBW-ANATOMY plusLora SardoynxREDUCE Coco

0,0,0,0,0,0,0,0,0,0,0,0,0,1,0.9,0.8,0.7,0.6,0.5,0,0,0,0.2,0.2,0.2

0

mikapikaNGsardonyxRcocoa(A)

Model: A

Model: B

Weight

Base alpha

Merge Name

mikapikaNGsardonyxRcocoa(A)

Chilloutmix-Ni

1,0.9,0.7,0.5,0.3,0.1,1,1,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1

0

MBW-AOM mikapikaNGsardonyxRcocoa(A) chillout

Model

Lora

Weight

Merge Name

MBW-AOM mikapikaNGsardonyxRcocoa(A) chillout

thickCoatCGStyle_v20

0.2

MBW-AOM mikapikaNGsardonyxRcocoa(A) chillout+L1

MBW-AOM mikapikaNGsardonyxRcocoa(A) chillout+L1

Airconditioner_loraVersion

0.4

MBW-AOM mikapikaNGsardonyxRcocoa(A) chillout+L2

Model: A

Model: B

Weight

Base alpha

Merge Name

AnimePastelDream_Hard_bakedVae

mouseymix

1,1,1,1,1,1,1,1,1,1,1,1,0,0,0.1,0.2,0.3,0.4,0.5,1,1,1,0.8,0.8,0.8

0

MBW-STYLE2 AnimePastelDream mouseymix

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

MBW-STYLE2 AnimePastelDream mouseymix

MBW-AOM mikapikaNGsardonyxRcocoa(A) chillout+L2

GyoZanV5Filling

Model

Lora

Weight

Merge Name

dpepv5-chilloutmixni

Beautiful_Detailed_eyes_v10

0.5

hsleepymix2v5

hsleepymix2v5

loraslayer2

0.4

hsleepymix2v5+L1

hsleepymix2v5+L1

mem_locon

0.4

hsleepymix3

Model: A

Model: B

Weight

Base alpha

Merge Name

hsleepymix3

silicon29-dark

RCOS

0

hsleepy3sili

GyozanWinterHoliday2023

WinterHoliday2023 is a special edition made especially for Unknownno3 that abandons many of the traditional precepts of Gyozanmix. It trades flexibility for a focus on cinematic shots, hardbakes in lighting choices, and is primarily built on moidel components which are already heavily finetuned via block-merging. Overall it is a very aesthetic model that can create very beautiful pictures but also has many weaknesses. Generally speaking, it should be considered a upgrade to V5, but a flawed one that accepts steps-back in some areas in order to provide a more cinematic output.

Examples

GyozanWinterHoliday2023 Recipe

Model

Lora

Weight

Merge Name

camelotSummerCamp

krekkovLIMB

0.5

camelotSummerCamp+krekk

camelotSummerCamp+krekk

hizakeFN

0.5

camelotSummerCamp_e8

camelotSummerCamp+krekk

Mockai-CSRBNF

0.7

camelotSummerCamp+LoRA

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

Snowfall-SP1

mugen_a1

InfiniteSnowfallSP

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

InfiniteSnowfallSP

camelotSummerCamp+LoRA

InfiniteSnowfallSPcamelotCamp

Model

Lora

Weight

Merge Name

InfiniteSnowfallSPcamelotCamp

thickCoatCGStyle_v20

0.2

InfiniteSnowfallSPcamelotCamp+Coat

InfiniteSnowfallSPcamelotCamp+Coat

kleggs

0.4

InfiniteSnowfallSPcamelotCamp+WinterCoat

Interpolation Method

Primary Model

Secondary Model

Merge Name

Weighted Sum @ 0.5

mouseymix

Ahnn-one

MouseyMoan

Weighted Sum @ 0.5

InfiniteSnowfallSPcamelotCamp+WinterCoat

MouseyMoan

GyoZanSpecialEditionFilling

Model: A

Model: B

Weight

Base alpha

Merge Name

9-AAAAAAA

silicon29-dark

RCOS

0

MBW-RCOS 9-AAAAAAA Silicon29

GyoZanSpecialEditionFilling

MBW-RCOS 9-AAAAAAA Silicon29

COS

0

GyoZanSpecialHolidayEditionRAW

Model

Lora

Weight

Merge Name

GyoZanSpecialHolidayEditionRAW

dpepv5-extracted

0.2

GyoZanSpecialHolidayEditionRAW+L1

GyoZanSpecialHolidayEditionRAW+L1

BacklightingFN

0.5

GyoZanSpecialHolidayEditionRAW+L2

GyoZanSpecialHolidayEditionRAW+L2

breakA-lighting-isolation-769

0.25

GyoZanSpecialHolidayEditionRAW+L3

GyoZanSpecialHolidayEditionRAW+L3

pikas-lighting-isolation

0.75

GyoZanSpecialHolidayEditionRAW+L4

GyoZanSpecialHolidayEditionRAW+L4

BeautifulDetailedEyes

0.5

GyoZanSpecialWinterHoliday2023Edition


Spinoff Mixes

SanXianWonton

SanXianWonton is a GyozaV2-based mix to affect the style of ink washed paintings (, lit. water rubbed art) popular in China, Japan, and Korea from the late 10th century until the modern day on anime illustrations. It has its own repository here.

Examples

TangYuan

TangYuan is a SanXianWontonV2-based mix to convert it into a general use illustration model. It is good with mimicking tradition forms of paintings but is also good at other things too. It has amazing landscapes and does wide angle shots well. It has its own repository here.

Examples

Bayesian Mixes

GyozaSalute!

Weights 1.0,0.18607648082955117,0.0,0.4650677066890658,0.5615966350132885,0.0,0.8401037755276394,0.332580097221715,1.0,1.0,1.0,0.5930444012946376,0.8652689667099235,0.4050236946871791,0.25976747288269475,0.09796104560611762,0.0,0.1339274177431354,0.0,1.0,1.0,1.0,1.0,0.6328046281809198,0.0

GyozaSalute! is a mix between GyozaMixV2 and SaluteMix. I prefer 2.5D models over semi-realistic so it isn't to my taste, but it's quite good. Go ahead and try it.

Civitai Page for more information.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!