Works well with weight ~0.70. I think the best results are from the AnyLoRA Anime Mix model by Lykon but you can see for yourselfThe showcase post contain multiple variations (outfit, weight, sampler, model, adetailer) so you can pick your favorite combination for generating images from this LoRAWould love to see your own results or feedback so I can improveIf you upload this LoRA to other sites please add link to this pageYou can try my models online on <a target="_blank" rel="ugc" href="http://Tensor.Art">Tensor.Art</a>: <a target="_blank" rel="ugc" href="https://tensor.art/u/619998934839888542">https://tensor.art/u/619998934839888542</a><hr />The dataset was created using <a target="_blank" rel="ugc" href="https://civarchive.com/user/Maximax67">Maximax67 </a><a target="_blank" rel="ugc" href="https://civarchive.com/articles/1746/anime-lora-dataset-automaker-using-original-screencaps-face-detection-and-similarity-models">Dataset Automaker</a>

Nahoya Kawata (Smiley) / Tokyo Revengers

nahoya_kawata.safetensors

v1.0

Works well with weight ~0.70. I think the best results are from the AnyLoRA Anime Mix model by Lykon but you can see for yourselfThe showcase post contain multiple variations (outfit, weight, sampler, model, adetailer) so you can pick your favorite combination for generating images from this LoRAWould love to see your own results or feedback so I can improveIf you upload this LoRA to other sites please add link to this pageYou can try my models online on <a target="_blank" rel="ugc" href="http://**********">**********</a>: <a target="_blank" rel="ugc" href="https://**********/u/619998934839888542">https://**********/u/619998934839888542</a><hr />The dataset was created using <a target="_blank" rel="ugc" href="https://civitai.com/user/Maximax67">Maximax67 </a><a target="_blank" rel="ugc" href="https://civitai.com/articles/1746/anime-lora-dataset-automaker-using-original-screencaps-face-detection-and-similarity-models">Dataset Automaker</a>

Files with SHA256: b20d42417906e0d9a1a42859bdff28fb6de301c00dd359fcb779affe2e349873