About JSR V2 and the UPCOMING V3.0:
Because the performance of facial generation in the first version was pretty poor, I merged the popular MajicV5 into V2.0 to make my facial generation more beautiful. However, during subsequent testing, I found that the integration of Majic had too much influence and my model lost its originality (which is probably why I received a one-star rating when it was first released lol..), and the generated faces looked similar and somewhat 2.5D, not realistic enough.
So in the upcoming V3.0, I removed the elements of Majic and made some complex changes to the original merge recipe. In V3.0, you won't see the highly Majic-fied big eyes and the extremely small face, so stay tuned.
因为第一个版本在脸部生成的表现还是比较差,所以在第二个版本里我融合了很火的MajicV5,使得我的脸部生成更加好看及稳定。但是在后续不断的测试中,发现融合majic之后,受其影响太大,我的模型没有了原来的特色(我想这也是为什么在刚发布的时候就收到了一个一星评价T T..),且生成的脸都长得差不多,有点2.5D,不够真实。所以在即将发布的第三个版本里,我把majic的元素去除了,将原来的融合recipe做了一些复杂的改变,在新的版本里你不会看到非常majic化的大眼+瓜子脸,敬请期待。
Some sneak peak:



Also, please feel free to share your images in the comments section! Thanks for your support.
也麻烦大家多多在评论区发布自己生成的美图!感谢支持~
About JSR V1.0:
JSR V1 (Japan Style Realistic V1) is trained on over 300 high-quality and high-definition Japanese-style photographic images based on SD, and fused with models such as BRA V4. The original model performs relatively poor in facial generation, but the atmosphere, lighting, and composition of the Japanese-style photographs are excellent. Models like BRA enhance the facial generation and compensate for some of the shortcomings of SD1.5.
Description
v2.0 merged with Majic v5 for a better performance on face generation
FAQ
Comments (10)
The samples for V1 look much better. V2 looks like a generic merge with chilloutmix or some other realistic anime shit.
agree......v1 is better, a unique sense of realism...
A naive question, how do you construct the training data in V1?
1. 300 high resolution/quality images with similar style and object.
2. Add unique identifier in text prompt, such as jp_style?
Hi Zihao, sorry for the late reply! That is absolutely right, I also used blip2 to preprocess the training data
wen V3
majic这个系列的checkpoint比较适合体验用,貌似作者把一些融合进去的lora的权重加的过高了,可能是自炼的网红脸之类的,导致和其他的lora会不太好融合
想知道你说的减去majic的元素是怎么实现的
其实就是把majic从融合模型里剔除了
大大训练的模型好逼真呀,不知道有没有国内的平台账号或者交流群可以请教下呢
支持一下,期待v3,麦桔脸看吐了
到底什么时候能出 3.0 啊?等了半年啦
Details
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Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.












