LoRA trained on Star Guardian Ahri from League of LegendsUpdate: added danbooru tags, completly different dataset lol, nai base modelThis was my first LoRA, so it aged like milk. I used Youtube tutorials to create it and incorporated a combination of cosplay images and fan arts with blip caption lol. I really, really needed to update this xDtags: star guardian ahri, 1girl, animal ears, hair ornament, detached sleeves, bare shoulders, skirt, magical girl, multiple tailsanime: <a target="_blank" rel="ugc" href="https://civarchive.com/models/142080">GatchaMIX - v1.0</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/122637/zenith">Zenith - v3</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/67120/yuzu">Yuzu - v1.1</a>2,5D: <a target="_blank" rel="ugc" href="https://civarchive.com/models/142185/irrealitium?modelVersionId=157631">irRealitium</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/107842?modelVersionId=152549">Aniverse - Aniverse V1.3</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/58431/darksun">DarkSun</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/48671/dark-sushi-25d">Dark Sushi 2.5D</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/115350/era09">ERA_09 - v1.0</a>realistic: <a target="_blank" rel="ugc" href="https://civarchive.com/models/22402?modelVersionId=39880">fantasticmix - v3.0</a>better hands LoRA: <a target="_blank" rel="ugc" href="https://civarchive.com/models/47085?modelVersionId=55199">EnvyBetterHands LoCon - beta2</a>negative embeddings: <a target="_blank" rel="ugc" href="https://civarchive.com/models/71961/fast-negative-embedding-fastnegativev2">Fast Negative Embedding (+ FastNegativeV2) - v2</a>Recommended settings:<ul><li>Make sure you are aware on the usage instructions of LORA</li></ul><ul><li>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)</li></ul><ul><li>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://civarchive.com/models/35966/dpm-2m-alt-karras-sampler">DPM++ 2M alt Karras</a></li><li>Steps: 20 to 35</li><li>Clipskip: 2</li><li>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</a>, <a target="_blank" rel="ugc" href="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth">RealESRGAN_x4plus_anime_6B.pth</a></li><li>CFG Scale : 5 to 9 (mostly 7)</li><li>LORA weight for txt2img: 0.5-1 (for the examples i mostly used 0.8 and 1)</li></ul><ul><li>Denoise strength upscaling: 0.3 to 0.55</li></ul>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>For full body shots i recommend using: <a target="_blank" rel="ugc" href="https://civarchive.com/models/33192/comfyui-impact-pack">ComfyUI Impact Pack</a>or the a1111 alternative <a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">GitHub - Bing-su/adetailer</a>old Version was Trained with <a target="_blank" rel="ugc" href="https://civarchive.com/models/22922/lyriel">lyriel_v13 </a>checkpointnew Version was Trained with NAI checkpoint

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