SDXL-nonnette_v050

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(Panettone is uploaded to huggingface)\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Cp\u003eWhen using Latent in v050, you may need to set the Denoising strength a little higher or the output may be blurry. ( \u0026gt;0.7 )\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch2 id=\"merged-recipe-xja9r8hub\"\u003emerged recipe\u003C/h2\u003e\u003Ch3 id=\"v010-nbz5su5nf\"\u003e・v010\u003C/h3\u003e\u003Cp\u003elilybreed_v10 + (kiwimixXL_v3 - daisybreed_v10) = A\u003C/p\u003e\u003Cp\u003eA + catCarrier_v20 = B\u003C/p\u003e\u003Cp\u003ecatTowerNoobaiXL_v10 + whynotIlluWainoob_v30 = C\u003C/p\u003e\u003Cp\u003eillustriousXLPersonalMerge_v30Noob10based + sakuraplatinum_v20241117 = D\u003C/p\u003e\u003Cp\u003eobsessionIllustrious_v30 + holyMixIllustriousxl_v1 = E\u003C/p\u003e\u003Cp\u003edaisybreed_v10 + dreammix_v10 = F\u003C/p\u003e\u003Cp\u003eC + D + E + F = G\u003C/p\u003e\u003Cp\u003eB + G = Nonnette_v010\u003C/p\u003e\u003Cp\u003eVAE: liquid111vae_sdxl9745\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v020-8njoot2ym\"\u003e・v020\u003C/h3\u003e\u003Cp\u003eFine tuning nonnette_v010 with 520 lametta output images = A\u003C/p\u003e\u003Cp\u003entrMIXIllustriousXL_xii + rillusmRealistic_v11 = B\u003C/p\u003e\u003Cp\u003eMerging B with Lora created from 60 lametta output images = C\u003C/p\u003e\u003Cp\u003esakuraplatinum_v20241117 + waiNSFWIllustrious_v70 = D\u003C/p\u003e\u003Cp\u003eMerge Lora created from 60 lametta output images into D = E\u003C/p\u003e\u003Cp\u003eA + C = F\u003C/p\u003e\u003Cp\u003eA + E = G\u003C/p\u003e\u003Cp\u003eF + G = nonette_v020\u003C/p\u003e\u003Cp\u003eVAE: liquid111vae_sdxl9745\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v034-z4fmqhf4r\"\u003e・v034\u003C/h3\u003e\u003Cp\u003eFine tuning Rillusm Realistic Illustrious v1.1 with 600 lametta output images = A\u003C/p\u003e\u003Cp\u003eFine tuning exploits_v1 with 600 lametta output images = B\u003C/p\u003e\u003Cp\u003eFine tuning catTowerMIX with 600 lametta output images = C\u003C/p\u003e\u003Cp\u003eA + B + C ＝ D\u003C/p\u003e\u003Cp\u003eD + mergeijPONYIL_ilV10VAE = E\u003C/p\u003e\u003Cp\u003eE + B = Nonnette_v034\u003C/p\u003e\u003Cp\u003eVAE: xlVAEC_f2\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v036-a5081s8fx\"\u003e・v036\u003C/h3\u003e\u003Cp\u003eFine tuning catTowerMIX with 600 lametta output images = A (Same as C in v034)\u003C/p\u003e\u003Cp\u003enonnette_v034 + A = B\u003C/p\u003e\u003Cp\u003eB + featureless25DMix_v10 = nonnette_v036\u003C/p\u003e\u003Cp\u003eVAE: xlVAEC_f2\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v050-cqtqnvg21\"\u003e・v050\u003C/h3\u003e\u003Cp\u003eNTR MIX v4.0 + Obsession v3.1 = A\u003C/p\u003e\u003Cp\u003eA + noolpoAI_vpred_test0.4test3 = B\u003C/p\u003e\u003Cp\u003eB + Panettone_v021 = C\u003C/p\u003e\u003Cp\u003eFine tuning exploits_v1 with 600 lametta output images = D\u003C/p\u003e\u003Cp\u003eFine tuning catTowerMIX with 600 lametta output images = E\u003C/p\u003e\u003Cp\u003eD + E = F\u003C/p\u003e\u003Cp\u003eC + F = Nonnette_v050\u003C/p\u003e\u003Cp\u003eVAE: xlVAEC_f2\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Cp\u003eThanks to the authors of each of these wonderful models !!\u003C/p\u003e\u003Cp\u003eThanks to those who generate and post to the gallery. It gives us a sense of possibilities that even the person who merged them was unaware of.\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Chr /\u003e\u003Cp\u003e\u003C/p\u003e\u003Cp\u003eノネットはどこにでもあるような雑多なNoob系Epsマージモデルです。\u003C/p\u003e\u003Cp\u003e基本的にはIllustrious eps の使い方に従ってもらえれば問題なく使用できると思います。\u003C/p\u003e\u003Cp\u003eこのモデル標準の絵柄にIllustrious（Noob）が内包しているデータをうまく組み合わせて使用することを前提としてマージしてあります。\u003C/p\u003e\u003Cp\u003e特定のキャラクターなどを呼び出してといった使い方は他のモデルに及びません。\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Cp\u003eこのモデルに限ったことではないですが、クオリティプロンプト類をガチガチに詰め込むと出力が固くなるように感じるので様子を見ながら盛り込むと良いかもしれません。\u003C/p\u003e\u003Cp\u003e（サンプルは割とガチガチに盛ってありますが）\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Cp\u003e\u003Cstrong\u003e・v010\u003C/strong\u003e：既存モデルをマージしただけ\u003C/p\u003e\u003Cp\u003e\u003Cstrong\u003e・v020\u003C/strong\u003e：v010をlamettaの出力画像で学習させたもの\u003C/p\u003e\u003Cp\u003e\u003Cstrong\u003e・v034\u003C/strong\u003e：v020の学習素材を見直ししてリニューアル\u003C/p\u003e\u003Cp\u003e\u003Cstrong\u003e・v036\u003C/strong\u003e：v034を再マージして「featureless25DMix_v10」をちょい足ししたもの\u003C/p\u003e\u003Cp\u003e\u003Cstrong\u003e・v050\u003C/strong\u003e：悪ふざけでマージしたPanettone_v021をベースに調整を施したもの\u003C/p\u003e\u003Cp\u003e(Panettoneはhuggingfaceにアップされています)\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Cp\u003ev050ではLatentでHires. fixした際にややぼやけた出力になることがあります。その時はDenoising strengthを高めの値に設定してください（0.7以上とか）\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch2 id=\"-cinllfd1l\"\u003eマージレシピ\u003C/h2\u003e\u003Ch3 id=\"v010-cd7gfrd7b\"\u003e・v010\u003C/h3\u003e\u003Cp\u003elilybreed_v10 + (kiwimixXL_v3 - daisybreed_v10) = A\u003C/p\u003e\u003Cp\u003eA + catCarrier_v20 = B\u003C/p\u003e\u003Cp\u003ecatTowerNoobaiXL_v10 + whynotIlluWainoob_v30 = C\u003C/p\u003e\u003Cp\u003eillustriousXLPersonalMerge_v30Noob10based + sakuraplatinum_v20241117 = D\u003C/p\u003e\u003Cp\u003eobsessionIllustrious_v30 + holyMixIllustriousxl_v1 = E\u003C/p\u003e\u003Cp\u003edaisybreed_v10 + dreammix_v10 = F\u003C/p\u003e\u003Cp\u003eC + D + E + F = G\u003C/p\u003e\u003Cp\u003eB + G = nonnette_v010\u003C/p\u003e\u003Cp\u003eVAE: liquid111vae_sdxl9745\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v020-6k4h6apu0\"\u003e・v020\u003C/h3\u003e\u003Cp\u003enonnette_v010をlamettaの出力画像520枚でFine tuning = A\u003C/p\u003e\u003Cp\u003entrMIXIllustriousXL_xii + rillusmRealistic_v11 = B\u003C/p\u003e\u003Cp\u003eBにlamettaの出力画像60枚から作成したLoraをマージ = C\u003C/p\u003e\u003Cp\u003esakuraplatinum_v20241117 + waiNSFWIllustrious_v70 = D\u003C/p\u003e\u003Cp\u003eDにlamettaの出力画像60枚から作成したLoraをマージ = E\u003C/p\u003e\u003Cp\u003eA + C = F\u003C/p\u003e\u003Cp\u003eA + E = G\u003C/p\u003e\u003Cp\u003eF + G = nonette_v020\u003C/p\u003e\u003Cp\u003eVAE: liquid111vae_sdxl9745\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v034-wfapzwe95\"\u003e・v034\u003C/h3\u003e\u003Cp\u003eRillusm Realistic Illustrious v1.1をlamettaの出力画像600枚でFine tuning = A\u003C/p\u003e\u003Cp\u003eexploits_v1をlamettaの出力画像600枚でFine tuning = B\u003C/p\u003e\u003Cp\u003ecatTowerMIXをlamettaの出力画像600枚でFine tuning = C\u003C/p\u003e\u003Cp\u003eA + B + C ＝ D\u003C/p\u003e\u003Cp\u003eD + mergeijPONYIL_ilV10VAE = E\u003C/p\u003e\u003Cp\u003eE + B = Nonnette_v034\u003C/p\u003e\u003Cp\u003eVAE: xlVAEC_f2\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v036-5qgmd79e1\"\u003e・v036\u003C/h3\u003e\u003Cp\u003ecatTowerMIX を600枚のlamettaに出力によりFine tuning = A (v034のCと同じもの）\u003C/p\u003e\u003Cp\u003enonnette_v034 + A = B\u003C/p\u003e\u003Cp\u003eB + featureless25DMix_v10 = nonnette_v036\u003C/p\u003e\u003Cp\u003eVAE: xlVAEC_f2\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Ch3 id=\"v050-qhyqbr9o2\"\u003e・v050\u003C/h3\u003e\u003Cp\u003eNTR MIX v4.0 + Obsession v3.1 = A\u003C/p\u003e\u003Cp\u003eA + noolpoAI_vpred_test0.4test3 = B\u003C/p\u003e\u003Cp\u003eB + Panettone_v021 = C\u003C/p\u003e\u003Cp\u003eexploits_v1をlamettaの出力画像600枚でFine tuning = D（v034のそれと同じ）\u003C/p\u003e\u003Cp\u003ecatTowerMIXをlamettaの出力画像600枚でFine tuning = E（v034のそれと同じ）\u003C/p\u003e\u003Cp\u003eD + E = F\u003C/p\u003e\u003Cp\u003eC + F = Nonnette_v050\u003C/p\u003e\u003Cp\u003eVAE: xlVAEC_f2\u003C/p\u003e\u003Cp\u003e\u003C/p\u003e\u003Cp\u003e上記の素晴らしいモデルを作成してくださった方々に感謝いたします。どうもありがとう！\u003C/p\u003e\u003Cp\u003e生成画像をギャラリーに投稿してくださる方にも感謝。マージした本人もこんな画像生成できるんだ！？って新たなインスピレーションを得ることが出来ます。\u003C/p\u003e",null,false,15,"Checkpoint","Created",["Date","2025-03-14T10:28:16.765Z"],"Published","Merge",true,[20],"RentCivit",["Date","2024-12-10T16:28:10.918Z"],{"imageNsfw":23,"imageNsfwLevel":24,"showcaseCollectionId":10},"None",1,"Public",[],[],{"ownershipProcessing":29},0,{"id":31,"image":10,"username":32,"deletedAt":10,"rank":10,"profilePicture":33,"cosmetics":39},784351,"Lasorco",{"id":34,"name":10,"url":35,"nsfwLevel":24,"hash":10,"userId":31,"ingestion":36,"type":37,"width":10,"height":10,"metadata":38},4516966,"2b96fa62-9fac-4471-a43b-6fea0d32b763","Scanned","image",{"userId":31,"profilePicture":18},[],[41,100,141,181,223],{"id":42,"modelId":7,"name":43,"description":44,"steps":10,"epochs":10,"clipSkip":10,"createdAt":45,"updatedAt":46,"trainedWords":47,"trainingStatus":10,"trainingDetails":10,"flags":-1,"inaccurate":11,"baseModel":48,"baseModelType":49,"availability":25,"status":16,"publishedAt":50,"meta":51,"settings":10,"requireAuth":18,"nsfwLevel":12,"uploadType":14,"usageControl":52,"generatorLoaded":11,"metrics":-1,"licensingFee":10,"files":53,"generationCoverage":88,"recommendedResources":89,"hiddenMetrics":90,"rank":91,"posts":96,"hashes":97,"earlyAccessDeadline":-1,"paidAccess":10,"donationGoal":10,"canDownload":18,"canGenerate":11,"wildcardSetId":-1,"linkedComponents":99},1506467,"v050","\u003Cp\u003eThe number 4 was omitted because it is not auspicious in Japan... 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