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Yandere Trance Expression [PonyXL]

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Updated: May 3, 2024
conceptmemeyanderemirai nikki
Verified:
SafeTensor
Type
LoRA
Stats
1,361
10,060
Reviews
Published
May 3, 2024
Base Model
Pony
Training
Steps: 9,600
Epochs: 200
Usage Tips
Clip Skip: 1
Strength: 1
Trigger Words
yandere trance
Hash
AutoV2
3AEA765E9F

If she gives you this look, it's over (or the real fun has just begun, your choice).

If you like the LoRA, please leave a reaction, review and/or tip. Enjoy!

Usage

  • Trigger word: yandere trance

  • Recommended strength 0.8 - 1.0 (try scaling the strength of the trigger word before scaling the LoRA strength!)

  • Use Clip skip=1 or Clip skip=2 (other values may also work, use at own risk)

  • Use at 1024x1024 (may stretch the head a little if using non-square resolutions)

  • Works for close-ups, portraits and upper body shots. Anything else will likely not work.

Example

See preview images (generated with pruned version).

Unpruned vs. Pruned vs. Lite

I offer three variations of the model, which only differ in the file size and quality. Pick the one that best suits your preferences. If you can not decide, simply pick the "pruned" version. Note that the quality is relative, even the lite version usually produces images which closely resemble the intended concept.

  • unpruned: The originally trained model. Largest file size, best quality. Pick if you want the best possible quality, at the cost of disk space.

  • pruned: Downsized model. Almost same quality as the unpruned version, with noticably smaller file size.

  • lite: Drastically downsized model. Smallest file size. Still has good quality, but noticeably worse than unpruned and pruned.

Notes

Got a surprisingly large dataset for this one and even more surprising results. Maybe the concept was already somewhere in the model, just not associated with the "yandere trance" tokens? Don't know, don't care, just enjoying the results.

Using training data

All training data has been sourced from publicly available sources. Feel free to contact me if you want access to the training data.