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Stabilizer Rouwei

142

1.2k

20.2k

29

Updated: Oct 31, 2025

style

Verified:

SafeTensor

Type

LoRA

Stats

656

18.5k

10.6k

Reviews

Published

Aug 4, 2025

Base Model

Illustrious

Usage Tips

Strength: 0.5

Hash

AutoV2
3C69EA7C71

Stabilizer for RouWei

I see tails, everywhere.

Note: All cover images are raw output from the model, 1MP resolution, no upscale, no hands/faces inpainting fixes, even no negative prompt.


What is this

Stabilizer is a tiny finetune LoRA with ~7k hand-picked images:

  • Photographs, digital arts, anime images, space images ... everything I can come up with. Many specialized sub datasets, such as close-up clothing, hands, complex ambient lighting ...

  • Only high resolution images with finest details. The whole dataset avg pixels is 3.37 MP, ~1800x1800. Every image is hand-picked by me.

  • Comprehensive natural language captions from Google LLM.

  • Anime characters are tagged by wd tagger v3 first and then refined to natural language by Google LLM.

Effect:

  • Better backgrounds, natural textures, lighting, and less noise.

  • Maybe slightly better creativity and prompt following

Note:

  • It only patches U-Net. Does not patch text encoder.


How to use

Version prefix:

  • epv080b: (Recommend) Trained on RouWei epsilon v0.8.0 base (pretrained version in author's hf repo).

  • vpv080: (Test version) Trained on RouWei v-pred v0.8.0. High contrast, but less details.

Note:

  • epsilon version is much easier to use. It's just normal good old SDXL that has already been supported by all software.

  • v-pred version requires specific parameters and settings, see RouWei main page for more info.

  • RouWei is based on illustrious v0.1, so it supports most illustrious LoRAs.


Update logs

(8/3/2025) v080epb v0.5

  • Same as v0.3, but lower contrast for more stable and natural images.

(7/25/2025) v080epb v0.3

  • This is all most a full training on the "v0.8 epsilon base".

(7/24/2025) v080vp v0.1

  • Initial release. Let's see what we got.

  • The training strategy is very conservative. So it won't bring big changes to images. Most of the time it needs strength > 0.8.

  • Feedback is welcomed.