Type | |
Stats | 703 686 |
Reviews | (82) |
Published | Mar 26, 2024 |
Base Model | |
Trigger Words | all in one |
Hash | AutoV2 EBE16659A6 |
1.0：
tigger word:原神全角色使用指南 Genshin Impact Comprehensive Character Usage Guide 2024.3 | Civitai
玩命跑图中,封面在跑了
124位角色（含服装），以每个角色200张单人图为目标，最后一共收集到22649张图片。
Training model: nai
Inference model: a7b3
Training resolution: 512*768
Recommended output resolution: ---
Recommended model weight: 0.8~1
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测试版本，我对SD1.5的大部分知识已经遗忘了 ，因此这个Lora模型可能并不成熟
Test version. I have forgotten most of the knowledge about SD1.5, so this Lora model may not be mature.
原神全角色，包含服装共107位。
触发词/keyword：https://civitai.com/articles/4584/pony-xl-genshin-impact-comprehensive-character-usage-guide-20243
A total of 107 character folders were effectively trained in this session.
本次训练，在4090上耗费了超过14小时，感谢 nieta.art 支持我的想法。
如果反馈好，这个系列还会出2.0版本，或者考虑制作其他作品的全角色系列。
本次训练有效的角色文件夹共107个。
使用全标训练，因此，角色的所有特征的还原，需要搭配服装TAG才能还原！
107位角色（含服装），以每个角色200张单人图为目标，最后一共收集到18k张图片。
Genshin Impact has a total of 107 characters, including costumes.
Special thanks to xianienie for creating the cover!
This training session took over 48 hours on 4090. Thanks to Neta for supporting my ideas.
If the feedback is positive, there will be a 2.0 version of this series, or consider creating a comprehensive character series for other works.
A total of 107 character folders were effectively trained in this session.
Since it was trained with full labels, the restoration of all character features requires the use of costume tags for accurate reconstruction.
For the 107 characters (including costumes), the goal was to collect 200 individual images for each character, resulting in a total of 18k images.
Training model: NAI
Recommend model: MeinaMix or other
Training resolution: 512*768
Recommended output resolution: --
特别鸣谢：算力赞助 nieta.art / GPU Sponsor: Neta
Discord : https://discord.com/invite/CFpyHceF52
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-
不太会跑SD1.5，手崩了很多...