Overall scores: Garuda 4.3(5), Ivara 4.3(5), Equinox 3.3(4), Lotus 3(3), Citrine 3.6(4)
Details: Garuda 5, Ivara 5, Equinox 3, Lotus 3, Citrine 5
All five LoRa have good details. The reversion of lotus and Equinox will be slightly more dependent on the model.
All five Loras can be switched freely from 2D to 3D. The 3D style is sometimes recognized as the skin and sometimes as the clothes. 2D effects rely on quality cues, and if the quality is high enough, it will be difficult to produce simple 2D images.
Failure rates: Garuda 4, Ivara 4, Equinox 3, Lotus 2, Citrine 2
Very interesting question, my conclusion is that there are traps in the trigger designed by the author.
The author uses the character name as a trigger word very intuitively, which can trigger character recognition well when relying on some dark or NFSW models. But there are many widely used models in my tests, and Lotus and Citrine inevitably lead to their common meaning. During my testing, I found that some parts of the character's body can also effectively guide the whole body information in LoRa, and I currently recommend using hemlet~
In addition, the 2D effect is not stable enough. This gave me an important tip, that is, a qualified model should be able to output any style, generate 2D when the details and quality requirements are not high, generate 3D when the requirements are high, and the most extreme details and quality will bring the same photo effect as taking photos.
总分：Garuda 4.3(5), Ivara 4.3(5), Equinox 3.3(4), Lotus 3(3), Citrine 3.6(4)
细节：Garuda 5, Ivara 5, Equinox 3, Lotus 3, Citrine 5
故障率：Garuda 4, Ivara 4, Equinox 3, Lotus 2, Citrine 2
作者非常直观地使用角色名称作为触发词，在依赖一些黑暗或NFSW模型时可以很好触发人物识别。但是在我的测试里有很多广泛使用的模型，Lotus 和Citrine 不可避免地会被引导向他们的常见含义。我在测试时发现，一些人物身上的部位也能有效引导出lora中的全身信息，我目前最推荐使用的是hemlet~
Thanks to these Loras！ Very interesting test ！