Triggers: a beautiful girl OR a beautiful young woman OR a beautiful woman... Each will yield different results.

Wan 2.2 - v4

v4 was trained with a new dataset and a new training pipeline / training parameters. I think my new workflow is giving better results for Wan 2.2.

Wan 2.2 - v3

Expanded data set yet again and tweaked a few training settings.

Also great for T2I

Triggers: a beautiful girl OR a beautiful young woman OR a beautiful woman... Each will yield different results.

v4.1 - More Diversity!

This version was trained on an expanded, more ethnically diverse dataset. All of the previous improvements still apply.

v3 - Now with !

I noticed that the previous version was not wanting to generate . I refined the dataset and added in some images. Problem solved!

Note: Using the word 'woman' vs. 'girl' makes a big difference in the output.

Wan v1 was a little over trained. I revised the dataset and reran the training with new LR and settings to create v2. v2 should be more compatible with combining loras.

This model was trained on 50 images of 50 different women. All pictures are publicly available. No trigger is necessary. Just prompt as usual and turn on the lora.

(If you have an idea or a request, send me a message. I can afford my own coffee.)