V3.2 Golden gossamer：

What’s New in This Version?

Expanded Dataset: The dataset has been increased to over 9,000 images. I've also removed some specific art style images that were prone to causing overfitting.

Zero Terminal SNR: This version incorporates Zero Terminal Signal-to-Noise Ratio during training. In theory, this should provide better adaptability to images that are much brighter or darker than average.

Usage Recommendations & Key Changes

Weight: This LoRA can be strong-willed at full weight. Please use it at a weight of 0.95 or lower for best results.

Artist Strings: Compared to previous versions, the enhancing effect on artist strings decreases as you add more of them. In extreme cases with many artist strings, the effect might be diminished. However, it is very responsive to short and simple artist strings. For the best outcome, try to keep your artist strings as concise as possible.

Details and Lighting: Despite the changes, the LoRA continues to perform well in rendering details and lighting.

User Experience & Creative Potential

The experience of using this version is noticeably different from previous ones, both in its handling and the resulting style.

Its performance can be quite varied. In some cases, it shows a great deal of creativity, interpreting ideas in prompts to achieve effects that were difficult to get before. In other situations, its output is more standard.

I highly recommend generating several images with random seeds to explore its potential, especially if you find the base style isn't being overfitted and locked in. You might be surprised by the results you can achieve.

As always, thank you for your support, and I hope you enjoy experimenting with this new version.