pony版本使得胡桃的眼睛还原度稍微提高一些。TAG:<pre><code>hu_tao_\(genshin_impact\)</code></pre>Training model: <a target="_blank" rel="ugc" href="https://civarchive.com/models/257749?modelVersionId=290640">Pony</a>Recommend model: Pony Diffusion V6 XL/T-ponynai3/AutismMix SDXLTraining resolution: 1024*1024Recommended output resolution: 832*1216/1024*1280特别鸣谢：算力赞助 <a target="_blank" rel="ugc" href="http://nieta.art">nieta.art</a> / GPU Sponsor: <a target="_blank" rel="ugc" href="https://neta.art/">Neta</a>Discord : <a target="_blank" rel="ugc" href="https://discord.com/invite/CFpyHceF52">https://discord.com/invite/CFpyHceF52</a>Recommended dataset collection and processing tools: <a target="_blank" rel="ugc" href="https://github.com/deepghs/waifuc">https://github.com/deepghs/waifuc</a>Possibly the most user-friendly dataset processing UI currently in use： <a target="_blank" rel="ugc" href="https://github.com/Eugeoter/sd-dataset-">https://github.com/Eugeoter/sd-dataset-</a><hr />2.0版本：使用4dim训练，更小的体积，仅27M更好的泛化，精选1000张单人图训练。触发词：hu_tao_\(genshin_impact\),brown_hair，red_eyes，hat，long_sleeves，symbol-shaped_pupilsVersion 2.0:Trained using 4DIM, with a smaller size of just 27MB.Improved generalization by training on a curated set of 1000 single-person images.keyword：hu_tao_\(genshin_impact\),brown_hair，red_eyes，hat，long_sleeves，symbol-shaped_pupils1.5版本：更小的体积，更好的画面，更自由的动作和换装此版本克服了1.0版本的动作过拟，拥有更高的自由度，遗憾的是，眼睛的细节似乎没有学到，这将在2.0版本中得到完善。1.5 version.The 1.5 version features a smaller size, improved visuals, and more freedom in movements and outfit changes.This version has overcome the action overfitting issue of the 1.0 version, providing greater freedom. However, it is regrettable that the details of the eyes seem to have not been learned, which will be addressed and improved in the 2.0 version.训练模型：SDXL1.0官模测试模型：Kohaku-XL建议权重：0.8 or adjust them freely according to the situation.Training model: SDXL1.0 Official ModelTesting model: Kohaku-XLRecommended weights: 0.8 or adjust them freely according to the situation.

Genshin_XL｜原神胡桃 Hutao

Files with SHA256: 49b09698bdaf66b398c8a789b8138c9499973e3357a9032f9e2c9701b1df1114