Update README.md
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README.md
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@@ -36,82 +36,90 @@ Mostly things that have a version that I find strictly better uploaded.
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Artstyle LoRAs.
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Generated some basic previews so you get the gist of what the LoRA does, they're not indicative of quality though.
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**WhiteMelancholy** is a mix between yagamishiro, dElysium, closer to death's depressed waifus and xlimo.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/crayoncirno.png" height="12%">
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**crayoncirno** is trained on cute little crayon cirno drawings.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/
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**dElysium** is trained on disco elysium portraits.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/
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**darkKukiv1** is a really decent noise offset (not multi-res) LoRA, you can use it to generate darker pictures. It's quite strong.
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**darkv7** is another noise offset LoRA, one that doesn't affect overally quality of the image much, but being weaker as a result.
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**deaver** is 29999491.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/gotagotay.png" height="12%">
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**gotagotay** is 30662116.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/kasuyabaian.png" height="12%">
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**kasuyabaian** is 78872596, trained on a dataset that hasn't been cleaned of text.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/
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**omao-locon** is 29268484 though it's finicky.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/
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**pastelmix** stronger and weaker follow the formula of the original pastel mix model (andite's) but merged into a LoRA with different weights.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/
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**rajawat** is 32622636. ~~I have no idea what this does.~~
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/
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**reverinth** is 66421798.
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**syokumurav4** is 5512911.
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**tekitoumidori** is 50544926.
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**yagamishiro** is 625564.
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<img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/
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**zunusama** is trained on mostly his newer works.
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</details>
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<details>
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<summary> characters </summary>
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Artstyle LoRAs.
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Generated some basic previews so you get the gist of what the LoRA does, they're not indicative of quality though.
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**WhiteMelancholy** is a mix between yagamishiro, dElysium, closer to death's depressed waifus and xlimo.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/whitemelancholy.png" height="12%"></details>
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<br>
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**crayoncirno** is trained on cute little crayon cirno drawings.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/crayoncirno.png" height="12%"></details>
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**dElysium** is trained on disco elysium portraits.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/discoElysium.png" height="12%"></details>
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<br>
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**darkKukiv1** is a really decent noise offset (not multi-res) LoRA, you can use it to generate darker pictures. It's quite strong.
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**darkv7** is another noise offset LoRA, one that doesn't affect overally quality of the image much, but being weaker as a result.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/dark.png" height="12%"></details>
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**deaver** is 29999491.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/deaver.png" height="12%"></details>
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**faintpaint** is a funky little LoRA mix between some pastelmix, whitemelancholy and diffLoRA to give it a more painty feel.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/faintpaint.png" height="12%"></details>
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**gotagotay** is 30662116.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/gotagotay.png" height="12%"></details>
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**hkv2** is 5691902, hollow knight art. It can generate some interesting sceneries.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/hk.png" height="12%"></details>
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**kasuyabaian** is 78872596, trained on a dataset that hasn't been cleaned of text.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/kasuyabaian.png" height="12%"></details>
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**omao-locon** is 29268484 though it's finicky.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/omao.png" height="12%"></details>
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**pastelmix** stronger and weaker follow the formula of the original pastel mix model (andite's) but merged into a LoRA with different weights.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/pastelweak.png" height="12%"></details>
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/pastelstrong.png" height="12%"></details>
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**rajawat** is 32622636. ~~I have no idea what this does.~~
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/rajawat.png" height="12%"></details>
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**reverinth** is 66421798.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/reverinth.png" height="12%"></details>
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**syokumurav4** is 5512911.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/syokumura.png" height="12%"></details>
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**tekitoumidori** is 50544926.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/tekitoumidori.png" height="12%"></details>
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**yagamishiro** is 625564.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/yagamishiro.png" height="12%"></details>
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**zunusama** is trained on mostly his newer works.
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<details><summary>preview</summary><img src="https://huggingface.co/Aotsuyu/LoRA/resolve/main/.previews/zunusama.png" height="12%"></details>
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<br><br><br>
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</details>
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<details>
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<summary> characters </summary>
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