description: <p>LoRA trained on Akshan from League of Legends</p><p></p><p>requested by: <span data-type="mention" class="mantine-1yiar0p" data-id="mention:116760" data-label="LadyNuggets">@LadyNuggets</span> </p><p></p><p>tags: akshan, 1boy, male focus, cape, pants</p><p></p><p>models used</p><p>anime: <a target="_blank" rel="ugc" href="https://civitai.com/models/18927?modelVersionId=79893">Sweet-mix - v1.8 - flat</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/11866?modelVersionId=76206">MeinaPastel - V5</a></p><p>2,5D: <a target="_blank" rel="ugc" href="https://civitai.com/models/67994/pasteldiffusedmix">PastelDiffusedMix - V2.1</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/85201/lustermix">LusterMix - v1.5</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/7371/rev-animated">ReV Animated - v1.2.2</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/89381/zavymix?modelVersionId=95141">ZavyMix - a2</a></p><p>realistic: <a target="_blank" rel="ugc" href="https://civitai.com/models/82984?modelVersionId=88171">Paragon V1.0</a></p><p></p><p>negative embeddings: <a target="_blank" rel="ugc" href="https://civitai.com/models/55700/badprompt-negative-embedding">bad_prompt</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/56519/negativehand-negative-embedding">negative_hand</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/4629/deep-negative-v1x">ng_deepnegative_v1_75t</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/nick-x-hacker/bad-artist/blob/main/bad-artist.pt">bad-artist</a>, <a target="_blank" rel="ugc" href="https://civitai.com/models/7808/easynegative">EasyNegative</a></p><p></p><p>Recommended settings:</p><ul><li><p>Make sure you are aware on the usage instructions of LORA</p></li></ul><ul><li><p>VAE: <a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.safetensors">vae-ft-mse-840000-ema-pruned</a> (for realistic models &amp; 2,5D), <a target="_blank" rel="ugc" href="https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt">kl-f8-anime2</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/NoCrypt/blessed_vae/blob/main/blessed2.vae.pt">blessed2.vae</a> (for anime models)</p></li></ul><ul><li><p>Sampler: DPM++ SDE Karras or DPM++ 2M Karras(euler a for img2img upscaling) from time to time im also using <a target="_blank" rel="ugc" href="https://civitai.com/models/35966/dpm-2m-alt-karras-sampler">DPM++ 2M alt Karras</a></p></li><li><p>Steps: 20 to 35</p></li><li><p>Clipskip: 2</p></li><li><p>Upscaler : <a target="_blank" rel="ugc" href="https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111">GitHub - pkuliyi2015/multidiffusion-upscaler-for-automatic1111</a> <a target="_blank" rel="ugc" href="https://mega.nz/folder/qZRBmaIY#nIG8KyWFcGNTuMX_XNbJ_g/file/vRYVhaDA">4x-UltraSharp(for 2,5D &amp; realistic)</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/konohashinobi4/4xAnimesharp/tree/main">4xAnimesharp(for anime)</a></p></li><li><p>CFG Scale : 5 to 9 (mostly 7)</p></li><li><p>LORA weight for txt2img: 0.5-1 (for the examples i mostly used 0.8 and 1)</p></li></ul><ul><li><p>Denoise strength upscaling: 0.3 to 0.55</p></li></ul><p></p><p>If you want to autocomplete the tags &amp; trigger im using, I recommend using <a target="_blank" rel="ugc" href="https://github.com/DominikDoom/a1111-sd-webui-tagcomplete">Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI</a></p><p>For full body shots i recommend using: <a target="_blank" rel="ugc" href="https://civitai.com/models/33192/comfyui-impact-pack">ComfyUI Impact Pack</a></p><p>or the a1111 alternative <a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">GitHub - Bing-su/adetailer</a></p>
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.baseModelType: Standard
modelVersions.downloadUrl: https://civitai.com/api/download/models/97396
modelVersions.downloaded: true
modelVersions.downloadUrl: https://civitai.com/api/download/models/97396
modelVersions.AutoV1: 2CFEE89E
modelVersions.AutoV2: DAB795458B
modelVersions.AutoV3: 5527C3B1B8B6
modelVersions.BLAKE3: 73A4175F8F9D5452183F800745DF823B9766E2A8A3183B02772F8DDA25C2A19E
modelVersions.CRC32: F3639466
modelVersions.SHA256: DAB795458B41F648CB4185A79038FF202D510E29B1C5610D1826E91D95DEE7C8
modelVersions.format: SafeTensor
modelVersions.name: Akshan-000023.safetensors
modelVersions.pickleScanMessage: No Pickle imports
modelVersions.pickleScanResult: Success
modelVersions.scannedAt: 2023-06-16T17:35:44.013Z
modelVersions.type: Model
modelVersions.virusScanResult: Success
modelVersions.hash: U8BVb8OYIoRk~AoyE2Io9uSNofNG9txDbvt7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3876b8d0-5d61-4f88-b455-ae8348d57833/width=450/1169293.jpeg
modelVersions.hash: UKE.tr^j.mnO.TxuOGenNfIVahrqIuNHI@sl
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a8587c86-5494-4666-8a8a-48f26450db6a/width=450/1169252.jpeg
modelVersions.hash: UwIOCDay-;xu~qWB%Lt7x[oef7oLs.j[M|WB
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/95c4f801-186d-407d-bef4-5626b495caa7/width=450/1169246.jpeg
modelVersions.hash: UnIN]gM{-;xu~poKxu%2xuofRkofjZayM|Rj
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0bcca148-4e72-4323-928c-43d763894c15/width=450/1169248.jpeg
modelVersions.hash: USF=EiRk%1%M~ojsNHxu%Mj[V]xaM|NHIpIp
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ea569f4a-4564-4972-93ab-e19666b1d972/width=450/1169249.jpeg
modelVersions.hash: U3A]c{T0^iR+009ZROIU~V%1-p%20LM|-o-V
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/40f0f3a9-9fff-4c21-83d8-1babaed3e7f9/width=450/1169250.jpeg
modelVersions.hash: UCFN|.05}?59~9R*58xa,-xs9bxs4;-n5Tsm
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6da180c2-bc2a-415c-910b-33bf6321d2a8/width=450/1169251.jpeg
modelVersions.hash: UfHnHH~B-TxD~BxZaKM|s:M|RkWBafRkS4t7
modelVersions.type: image
modelVersions.url: https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/02d78770-628f-4eeb-a4d5-5c924f0ddf59/width=450/1169253.jpeg
modelVersions.name: v1.0
modelVersions.publishedAt: 2023-06-16T17:43:04.695Z
modelVersions.trainedWords: akshan, 1boy, male focus, cape, pants
name: Akshan | League of Legends
tags: league of legends character video game character male video game akshan