For more information about this model and how to use it, please refer to:https://civitai.com/articles/4057/lora-about-honkai-star-rail-all-in-one-animagine-xl-v3TAG:trailblazer_(honkai:star_rail) kafka(honkai:star_rail) march_7th(honkai:star_rail) stelle(honkai:star_rail)silver_wolf(honkai:star_rail)dan_heng(honkai:star_rail)caelus(honkai:star_rail)blade(honkai:star_rail)jingliu(honkai:star_rail)himeko(honkai:star_rail)bronya_randdan_heng(imbibitor_lunae)_(honkai:star_rail)seele(honkai:star_rail)fu_xuan(honkai:star_rail)herta(honkai:star_rail)jing_yuantingyun(honkai:star_rail)ruan_mei(honkai:star_rail)topaz(honkai:star_rail)pom-pom(honkai:star_rail)bailu(honkai:star_rail)clara(honkai:star_rail)asta(honkai:star_rail)black_swan(honkai:_star_rail)more: https://danbooru.donmai.us/related_tag?commit=Search&search%5Bcategory%5D=Character&search%5Bquery%5D=honkai%3A_star_rail+The dataset was collected on February 7, 2024, and consists of 13k relevant images used for training.Theoretically, all characters with a significant amount of data in the Honkai: Star Rail dataset prior to that date should be accurately represented, approaching a complete roster.This model works best with Animagine XL V3 and models trained based on Animagine XL V3 or models that incorporate Animagine XL V3. It provides a higher level of character fidelity.Tools used for image collection: https://github.com/deepghs/waifucTools used for dataset processing: https://github.com/Eugeoter/sd-dataset-managerProject used for model training: https://github.com/bmaltais/kohya_ssSpecial thanks to GPU Sponsor: nieta.artUnauthorized reproduction or publication on other platforms is strictly prohibited without the author's permission.更多关于本模型的信息，如何使用，请看：https://civitai.com/articles/4057/lora-about-honkai-star-rail-all-in-one-animagine-xl-v3数据集的收集时间为2024年2月7日，使用了13k张相关图片训练。对于在此之前星穹铁道数据集较多的角色，理论上都还原，无限接近于真正的全角色，本模型最好在Animagine XL V3、以及基于Animagine XL V3训练的模型和融合了Animagine XL V3上的模型上使用，角色还原度会比较好。图片收集工具：https://github.com/deepghs/waifuc数据集处理工具：https://github.com/Eugeoter/sd-dataset-manager模型训练使用的项目：https://github.com/bmaltais/kohya_ss特别鸣谢：算力赞助 / GPU Sponsor: nieta.art未经作者许可，禁止以任何方式转载或发布到其他平台。
