该模型使用了17723张图片训练，覆盖了大部分EVA主要角色。

在4090上训练了50小时。

请注意，对于pony模型来说， EVA大部分角色属于已有概念。因此该模型更侧重于对画风的改善（更加日漫风格）和概念补全。

This model was trained using 17,723 images, covering most of the major EVA characters.

It was trained for 50 hours on 4090.

Please note that for the pony model, most of the EVA characters fall under the existing concepts. Therefore, this model focuses more on improving the art style (more anime-style) and concept completion.

Training resolution: 1024*1024

Recommended output resolution:832*1216/ 1024*1280

Training model: pony

Inference model: AutismMix SDXL

特别鸣谢：算力赞助 nieta.art / GPU Sponsor: Neta

Recommended dataset collection and processing tools: https://github.com/deepghs/waifuc

Possibly the most user-friendly dataset processing UI currently in use： https://github.com/Eugeoter/sd-dataset-manager