由于我闲不住，用我空闲的a100显卡随便的训练了这个模型它的数据集与<a target="_blank" rel="ugc" href="https://civarchive.com/models/521145">R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai </a>一样并增加了一些角色概念使用了在r-Anime-Sytle上的三倍训练量（rep*3)区别是它的basemodel为t-ponynai3 5.5,经过我的实际测试，嗯...在这三倍的训练量下，它的画风依旧没有拟合。pony真是个天坑模型啊~不过好消息是它似乎学会了不少的角色如果你想正常使用它 请去<a target="_blank" rel="ugc" href="https://civarchive.com/models/521145">R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai </a>的模型卡页面下载ymal文件，它拥有模型训练的标注词频，当然你也可以使用十六进制查看器 直接查看模型的训练参数反正我是懒得为这个训练失败的模型统计词频了Here's the English translation:Due to my restlessness, I casually trained this model using my spare A100 GPU.Its dataset is the same as "<a target="_blank" rel="ugc" href="https://civarchive.com/models/521145">R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai</a>" with some additional character concepts added.I used three times the training amount (rep*3) compared to r-Anime-Style.The difference is that its base model is t-ponynai3 5.5. After my actual testing, well... even with this triple training amount, its art style still hasn't converged.Pony is truly a bottomless pit of a model, huh~The good news is that it seems to have learned quite a few characters.If you want to use it normally, please go to the model card page of "<a target="_blank" rel="ugc" href="https://civarchive.com/models/521145">R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai</a>" to download the YAML file. It has the annotation word frequencies from the model training. Of course, you can also use a hexadecimal viewer to directly check the model's training parameters.Anyway, I'm too lazy to compile word frequencies for this failed training model.

Files with SHA256: e9694f277e576bff855d9c92df45d8e5f53a3ea79ef6111549a8c7332dd73f07