VELVIA模型是采用高分辨率训练集以及新的打tag方法训练得到的LoRA模型。
更新内容:
照片训练集进行了重新筛选,不再使用正则化图像
训练集分辨率由512x704提升至640x960
采用了新的打tag方法与金字塔噪声
The VELVIA model is a LoRA model trained using a high-resolution dataset and a new tagging method.
Updates include:
The photo training dataset has been reselected, no longer using regularized images.
The training dataset's resolution has been increased from 512x704 to 640x960.
A new tagging method and pyramid noise has been adopted.