该lora使用了纳米香蕉蒸馏出来的3d图片进行训练，同时加入了自然语言和tag混合训练，得到更好的画面遵循度。
This LoRa algorithm was trained using 3D images distilled from nano-bananas, and also incorporated natural language processing and tag-based training to achieve better image conformance.
Description
该lora使用了anima1.0正式版为base,使用纳米香蕉蒸馏出来的3d图片进行训练，同时加入了自然语言和tag混合训练，得到更好的画面遵循度，V2使用了更大的分辨率训练，理论上可以得到更好的细节，对训练集也进行了颜色矫正。
This LoRa dataset uses Anima 1.0 as its base and is trained using 3D images distilled from nano bananas. It also incorporates natural language processing and tag-based training to achieve better image fidelity. V2 uses a higher resolution for training, which theoretically can yield better detail. Color correction has also been applied to the training set.