Uploaded v2.2.

README.md

@@ -18,11 +18,14 @@ The dataset [v2ray/mike-no-hito](https://huggingface.co/datasets/v2ray/mike-no-h
 
 Big thanks to the artist for the very cute catgirls :3, you can find the artist on X (Twitter) with ID [@doremifaso64](https://x.com/doremifaso64).
 
-To use this LoRA, you can use the trigger word `mike no hito`, it's best to add `black eyes` and `white pupils` too for better eye performance. The artist is a furry artist so this will have a chance to make a character into a furry unprompted, if you encounter this, simply add `furry` to the negative prompt.
+To use this LoRA, you can use the trigger word `mike no hito`. The artist is a furry artist so this will have a chance to make a character into a furry unprompted, if you encounter this, simply add `furry` to the negative prompt.
 
-This LoRA is trained using [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts), with rank 8, alpha 16, learning rate 1e-4, for 128 epochs with a total of 2432 steps, using a H100, took approximately 2 hours.
+This LoRA is trained using [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts), with rank 32, alpha 16, learning rate 1e-4, for 512 epochs with a total of 9728 steps, using an A100-80GB, took approximately 14 hours.
+
+If you have any questions, suggestions, or just want to talk to me, you can add me on Discord with ID [@v2ray](https://discord.gg/r4Wj97nZ).
 
 ## Changelog
+- **v2.2**: This version is trained with rank 32, for 512 epochs (384 more epochs compared to v2.1), I didn't expect it to work but it actually works pretty well. If you think it's bad you can always use an older version.
 - **v2.1**: This version is trained with 3x3 Conv2d layers targeted, for 128 epochs (64 more epochs compared to v2.0).
 - **v2.0**: This version added a lot more training data, which are hand picked, cleaned, and deduped by me, mostly by hand. It has improved non-furry ability thanks to generalization, and overall better quality.
 

mike_no_hito.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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