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R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai 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R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai 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 "R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai" 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 "R-Anime-Sytle-Add-prune_LoRA - v1.0 | Stable Diffusion LoRA | Civitai" 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.