Nakatsukasa Kirino/中務キリノ (Blue Archive) for PonyXL (3 Outfits)
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模型描述
————v2.0beta————
v2.0beta 主要用于生成“泳装”和“偶像”(在第5 PV中出现)两套服装,生成“警服”请仍使用v1.1。
v2.0beta 主要用于生成“swimsuit”和“idol”(出现在5th PV中)的服装。生成“police uniform”请继续使用v1.1。
由于偶像服的数据集过少,未能成功还原发型,但除此之外的效果都出乎意料地好。
Due to the limited dataset for idol outfits, I was unable to successfully replicate the hairstyles, but apart from that, the results were unexpectedly good.
遗憾的是,官方服装反而过拟合了,如果需要生成官方服装我强烈推荐使用v1.1。如果要使用v2.0beta生成官方服装,请将CFG Scale降低至4.5,并配合lora block weight使用:lora:NakatsukasaKirinoXL:0.8:0.8:lbw=1,1,1,1,1,1,1,1,1,0,0,0。
Unfortunately, the official costume "police uniform" seems to be overcooked. If you need to generate official costume, I strongly recommend using v1.1. If you still want to use v2.0beta to generate official clothing, please decrease the CFG Scale to 4.5 and use it with LoRa block weight extension: lora:NakatsukasaKirinoXL:0.8:0.8:lbw=1,1,1,1,1,1,1,1,1,0,0,0。
——
泳装触发词(Swimsuit trigger words:):
kirino \(swimsuit\) \(blue archive\),
sandals, police hat, swimsuit, braid, blue bikini, side-tie bikini bottom, navel, twin braids, blue vest, blue headwear, open clothes, crop top, shirt... megaphone, whistle...
——
偶像服是一套固定服装,只需要一个触发词(The idol outfit is a fixed set of clothing, requiring only one trigger word):kirino \(idol\) \(blue archive\)。
增加以下tag会使结果更加稳定(Adding the following tags will make the results more stable):pink puffy short sleeves, pink bow, mismatched legwear, asymmetrical legwear, striped pink footwear, pink shoes。
——
注:我试图重新调整repeat值来避免官方服装过拟合的现象,却影响了其他两套服装的效果。因此,我所提供的训练集并非v2.0beta使用的,而是经过了repeat值和极少量的图片的调整。未来“桐乃(偶像服)”实装后,我会继续更新这个lora。
Note: I attempted to readjust the repeat value to avoid overcooking of the official costume, but it affected the effectiveness of the other two sets of outfits. Therefore, the training set I provided is not the one used by v2.0beta, but rather has undergone adjustments to the repeat value and a minimal amount of images. After the implementation of "Kirino (Idol)" in the future, I will continue to update this LoRa.
————v1.1————
更小,更灵活,也许效果更好
Smaller, more flexible, perhaps yielding better results.
请视情况(和视角)选择触发词:
Please choose trigger words based on the context (and perspective).
触发词 (Trigger word):
kirino \(blue archive\)
头部触发词 (Head trigger words):
braid, twin braids, long hair, hairclip, hair between eyes, bangs, ahoge, hat, multicolored hair
上半身触发词 (Upper body trigger words):
white gloves, blue necktie, long sleeves, armband, white jacket, badge, holster, belt, cylindrical objects attached to belt, belt pouch
下半身触发词 (Lower body trigger words):
white boots, skirt, black pantyhose
我想知道怎么在同一个角色lora中放入两套服装。如果您愿意分享相关教程,我会非常感激!
I want to know how to put two costumes of the same character in one LoRa. I would greatly appreciate it if you could share any relevant tutorials!
————v1.0————
这个lora只能基于pony及由其衍生的底模生效。
触发词:kirino \(blue archive\)
可选的触发词(我想不止这些):hat, gloves, necktie, gloves, necktie, long sleeves, armband, jacket, badge, holster, pantyhose, skirt, belt, cylindrical objects attached to belt, boots, multicolored hair, handgun, holding weapon
推荐权重:0.8。
推荐的CFG scale:我也不知道!使用pony v6底模时,我设置为6.5或7。但在使用autismix底模时,我不得不下调至4.5,否则画面线条会非常粗。
推荐使用lora block weight插件:lora:NakatsukasaKirinoXL-000029:0.8:0.8:lbw=1,1,1,1,1,1,1,1,1,0,0,0
这是我第一次训练lora,可以预想到会有许多不足之处。事实上我甚至无法判断它究竟是否有欠拟合或过拟合的情况。
我分享了训练数据。如果您愿意教我如何优化训练数据,我将感激不尽。
----AI Translation----
This LoRa only works based on pony and its derivatives.
Trigger word:kirino \(blue archive\)
Optional trigger words (I think there are more than these): hat, gloves, necktie, gloves, necktie, long sleeves, armband, jacket, badge, holster, pantyhose, skirt, belt, cylindrical objects attached to belt, boots, multicolored hair, handgun, holding weapon
Recommended weight: 0.8.
Recommended CFG scale: I don't know either! When using the pony v6 base model, I set it to 6.5 or 7. However, when using autismix, I had to lower it to 4.5, otherwise the lines in the image would be very thick.
Recommended to use the LoRa block weight plugin: lora:NakatsukasaKirinoXL-000029:0.8:0.8:lbw=1,1,1,1,1,1,1,1,1,0,0,0
This is my first time training a LoRa, and I can foresee there will be many shortcomings. In fact, I can't even determine whether it is underfitting or overfitting.
I have shared the training data. I would greatly appreciate it if you could teach me how to optimize the training data.




