You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.


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 Gyoza餃子Mix

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


Components

Checkpoints

  • mouseymix.safetensors [edad10a24a]「edad10a24a948c71dd6caa0203a6c9b29915dc066ea8bc077ed48d951182680d」

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

  • pastelmix-dpep4.safetensors [0356652d3d] 「0356652d3da21787a7a3e3f6c9c45de94698c903f34e16a3402e460e5b13a69c」
  • mikapikazo-40000.ckpt [9ad15f367e] 「9ad15f367e9639db41b73365212f33b3024ae2c9096fd3a1c01d473941ded9ea」
  • sardonyxBlend_v12.safetensors [42546b14d2] 「42546b14d2efcfc45fc4d44c793aa241dc192517202614365d51a00d09512f69」
  • modare-100000.safetensors [796c88e1cb] 「796c88e1cb441294582ce0df0aa63d2e70f9764ac83ae154cc0dcbfecfc55fd0」
  • detailedproject4-fin.safetensors [316f1f1234] 「316f1f1234a2224cc317a2caa5cad8509adbb5be903318b5eaead28c2cebf2ad」
  • dalcefo_painting_v4.safetensors [1f4376857d] 「1f4376857d57d075a50775b9d19f6f494ffd841bfd142f2c101247fc4a2b5efa」

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米山 舞_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 (水墨画, 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.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Examples
Unable to determine this model's library. Check the docs .