Stabilizer
Name is misleading. This is NOT a LoRA that can magically fix your overfitted merged base model.
This is a finetuned model from pretrained model. But trained as a LoRA.
11k images. No bias, no default style.
Zero smooth plastic glossy AI image in dataset. Glossy Al images are polluting the world, but not on my watch, I handpicked every single image.
Natural language captions from Gemini, rather than tags in random order with high FPR.
Standard noise scheduler. Inpainting/img2img friendly.
Improvements:
You can get the style exactly as it should be (as long as the model knows).
Comparisons with pretrained base model:
https://civarchive.com/images/84145167 (general styles, you get the style exactly as it should be)
https://civarchive.com/images/84256995 (artist styles, no style shifting because this model does not have bias)
See more xy plots in cover images.
Why LoRA?
This LoRA is a DoRA (from Nvidia), which is more efficient than traditional LoRA.
Enough for thousands of training images.
What? You prefer to download and store a 7GiB checkpoint than a 80Mib LoRA?
Share merges using this model is prohibited. FYI, there are hidden trigger words to print invisible watermark. I coded the watermark and detector myself. I don't want to use it, but I can.
This model only published on Civitiai and TensorArt. If you see "me" and this sentence in other platforms, all those are fake and the platform you are using is a pirate platform.
How to use
It is highly recommended that you use pretrained base model.
And load this LoRA with strength 1.
Versions:
cknb (ChenkinNoob-XL).
nbvp10 (NoobAI v-pred v1.0). FYI: you don't need CFG hacks (RescaleCFG etc.).
nbep10 (NoobAI eps v1.0).
illus01 (Illustrious v0.1).
Load this LoRA first
This LoRA uses a new arch called DoRA from Nvidia, more efficient than traditional LoRA. But the patch weight is dynamically calculated based on the currently loaded base model weights (which will be changed when you loading other LoRAs). To avoid unexpected changes, load this LoRA first.
Specify styles in prompt
This model does not have an strong default style and is very creative. You must specify the style you want in the prompt.
If you want to use it on finetuned/merged base models:
I personally disagree this. This is not the model's original intention. But this is a LoRA after all.
Be aware:
This LoRA can't remove glossy shiny plastic AI style. Although the dataset is "AI image free". It can't make AI image polluted 1girl overfitted 50 versions of Nova furry 3D anime WAI or whatever look better. What the model learned is learned. Use a pretrained base model if you want to get rid of overfitted AI style.
What is "overfitted AI style"? This is what Craft Lawrence (from spice and wolf) should be, if you've seen the anime: img. This is what those AI style polluted 1girl overfitted model generated: img
Some base models already merged this model. If you got deformed images with this LoRA even at low strength (e.g. <0.5). Your base model has already merged this LoRA (and you merged it twice). And the model weights got multiplied (because how the DoRA works) and collapsed.
Beware of fake base model creators, aka. thieves. Some "creators" never do the training, they only grab other people's models, merge them, wipe all metadata and credits, and sell it as their own base model.
Update log
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Comments (8)
wow, another update? I'll try it out. Thank you for your hard work. I hate CivitAI and all these parasite platforms.
I compared illus v1.72 and illus v1.23 and noticed that illus v1.72 produces images with less color saturation, less lighting depth, and a style closer to classic anime coloring. On the other hand, illus v1.23 gives a more contrasty, 3D-like image with volumetric lighting. If you need a stabilizer with flatter colors, it's better to choice illus v1.72. But if you want volumetric lighting and high contrast, go for illus v1.23.
thanks for the feedback.
lol, just found a bug in my script that cause v1.72 has less contrast. It should be as high as v1.23.
I am SO curious about the hidden tag to detect merges. The idea is brilliant and i so want to test it on several model to see if they cheated or not ^^
invisible watermark, need tool to see/detect, not a brilliant idea, there are many implements on internet. I just coded my own toy implement, mainly for practicing.
@reakaakasky ah! Thanks for the info. I was wondering if there was "troll" pictures in the dataset with an associated messy tag that only get out when specifically called in the prompt (because i though it would be fun to try)
@n_Arno the "troll" picture will "leak" out and ruin the quality of the model.
most time you don't need detection to know if some creators were cheating, just look how many creators recommended "clip skip:1" in their pages. If they know just a little bit more, like a real model finetuner who understand the model, they should know this value only for sd1.5 and has no meaning in sdxl.
grab other people's loras and models here and there, make a merge, wipe out all details in metadata, daily life in ai site.
As one of the first people who use this LORA, this just keep getting better and better.
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Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.












