There are no specific plans for updates.
recommended negative: semen, cum
v3.0 has increased the weight of active tags to preserve features while maintaining existing picture styles.
Previously, weights of 0.6 to 0.8 were recommended,
v3.0 recommends 0.2 to 0.35.
V1.0: Simple Implementation
V2.0: Increasing Datasets
V3.0: Increase the number of training while increasing the dataset and slightly overfitting the main tag, reducing the overall weight.
V4.0: Remove ambiguous or unstable datasets, change the learning method to Locon, and change the tagging method from individual tags to captions to highlight the main object while reducing conflicts with existing tags.
-V4.1: Edit caption
-V4.2: Additional learning in V4.1 after slightly increasing data