更新内容:
Velvia 3.0的主体LoRA模型的训练集图像数量已达到406张,分辨率进一步提升至1024*1024。
本版本主体模型训练使用了Scale weight norms功能,以避免模型过拟合。在另一个备用版本中我也测试了“Prodigy” 优化器, 这个优化器可以在一半的训练总步数下提供与AdamW8bit相当的拟合程度,但可能是我参数设置不合适,训练结果的人脸美感较差,因此最终没有采用。
在高分辨率主体模型基础上,少比例融合了Velvia 2.0模型,同时进行了分层调节,以改善人像肤色。
Update Content:
The number of training images for the main LoRA model of Velvia 3.0 has reached 406, with the resolution further increased to 1024x1024.
In this version, the main model training utilizes "Scale weight norms" functionality to avoid overfitting. I also tested the "Prodigy" Optimizer in another alternative version. Prodigy can provide a fitting degree comparable to AdamW8bit with half the total training steps, but perhaps due to inappropriate parameter settings, the facial aesthetics of the training results were not as good, so it was not adopted in the end.
Based on the high-resolution main model, a small proportion of the Velvia 2.0 model was blended, and hierarchical adjustments were made to improve the skin tone in portraits.
Input
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