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    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:

    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:

    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

    Moved here

    Description

    FAQ

    Comments (21)

    6870204Jan 30, 2025· 7 reactions
    CivitAI

    V1.23 Is absolutely amazing, i'm 100% loving it. Thanks for creating it

    SuperKaelFeb 7, 2025· 9 reactions
    CivitAI

    This is like magic! I have been experimenting with mixing various LoRAs and checkpoints together to create a model capable of making the styles and concepts I like for my personal use, and although I have had success with that, it has come with the side effect of destabilizing the model and causing it to often produce over- or under-saturated images. This LoRA fixed that problem almost entirely!

    eryuanzaFeb 10, 2025· 3 reactions
    CivitAI

    If your image has text, please delete this lora,如果出现了文字,就把这个lora删了

    reakaakasky
    Author
    Feb 10, 2025· 1 reaction

    There is no text in the training data set, not even a single letter. recommended to check other Lora that trained on low-quality dataset.
    能很自信的说,训练数据集里一个字母都没有。建议检查其他 lora 是不是有低质量数据集,然后因为这个 lora 会推高对比度导致哪个lora认为该输出训练时看到的文字了。

    sxus_SwFeb 15, 2025· 6 reactions
    CivitAI

    Great, I'm waiting for the page to split, so I can promote this on all my model pages.

    很棒,我正在等待这个页面根据模型的拆分,这样我就能在我的所有页面上推荐它。

    woshitiancaiba409Feb 15, 2025· 7 reactions
    CivitAI

    所以这是个让出图效果更好的lora,也是个让其他lora适配不同sdxl模型的lora,是吗,没太懂

    1196715883144Feb 19, 2025· 7 reactions
    CivitAI

    Can the Pony model also be well applied?

    EnigmataFeb 21, 2025· 7 reactions
    CivitAI

    Bro since we will wait for rescale CFG on site generator until the End of Times we need to know how to use stabilizer.

    I used 0.8 but scenes are still too dark or contrast.

    In Noobai vpred 1.0.

    reakaakasky
    Author
    Feb 21, 2025

    https://civitai.com/posts/13238436 0.8 and Eular or DPM2.

    reakaakasky
    Author
    Feb 21, 2025

    FYI. I think the main problem is not just lacking of rescale CFG. They might use wrong parameters for v-pred in site generator. I have never been able to reproduce my images 100% in external tool, like a1111. The output from site generator is way worse than a1111. More messy noise.
    I've raise the problem to mod months ago. Seems they never fixed it.

    EnigmataFeb 21, 2025

    @reakaakasky Everything about NoobAI-XL is literally sabotage - no epsilon 1.1 (or cyberfix) in generator which doesn't need extra settings - only shitmixes.

    No separate base model mark and half of people use Illustrious mark and half - SDXL 1.0.

    No rescale CFG.

    Idk about discrete sampling type - I think it works because as I heard on old version of A1111 and forge you'll get black screen because they don't support V-prediction.

    ILiyosFeb 26, 2025· 6 reactions
    CivitAI

    This is a masterpiece, thanks for the lora))

    EnigmataMar 1, 2025· 5 reactions
    CivitAI

    btw can you make stabilizer for V-pred only? I think it is real. I made lora for x3d style and it works even without rescale CFG - no color explosions.

    reakaakasky
    Author
    Mar 1, 2025

    I've made v-pred version before, but seems no improvment compairing to e-pred. So I never publish it. After all noobai vpred and epred have 99.8% similarity. They finetuned epred to vpred.

    The color explosion seems happens at early sampling timesteps. Seems if the training data does not have pure black or white backgound, then everything will be fine.

    EnigmataMar 1, 2025

    @reakaakasky and which version is the best for noobai-xl vpred?

    I think there is good reason to publish v-pred lora stabilizer because NoobAI-XL Vpred is avaiable on site. And there is no reason for epsilon 1.1 stabilizer now because you can't use it on site. And if you want to use epsilon 1.1 in local webui you just can enable rescale CFG or Dynamic Thresholding without risk of taking from lora unwated details.

    reakaakasky
    Author
    Mar 1, 2025

    @Enigmata epred 1.1 is the closest checkpoint to vpred1.0. For my sittings, v-pred and e-pred is almost the same, in fact, I personally think vpred lora is worse than epred. It sounds impossible, but I tested and it really happened.

    Also this LoRA initially is for character overall enhancement, details, etc. Fixing CFG and contrast is just one of the effects I added

    reakaakasky
    Author
    Mar 1, 2025

    noobai vpred = epred + finetune, which equals to "vpred = epred + vpred lora". This not the true v-pred model.

    EnigmataMar 1, 2025

    @reakaakasky but all v-pred models are epsilon + v-pred because at least SDXL 1.0 is epsilon so I don't think that it is problem that v-pred contains epsilon-pred parts. I know that v-pred is 7.5+12+16 finetune but according to my observations v-pred loras work on epsilon checkpoints but epsilon loras don't work well on v-pred checkpoints :/

    reakaakasky
    Author
    Mar 1, 2025

    @Enigmata "v-pred loras work on epsilon checkpoints but epsilon loras don't work well on v-pred checkpoints"

    this depends on lots of factors. The main factor i assume is the lora overtrained/overfitted. v-pred is very unstable. So if the lora overfitted, and the base model is far way to the trained model, the latent noise, cause by the mismatch, will affect the image harder. epred is more stable, so the effect may not noticeable.

    reakaakasky
    Author
    Mar 1, 2025

    @Enigmata If not overfitted, even illus lora can work will on noobai vpred.

    just generated a small test https://civitai.com/posts/13616509

    Cake4DazeMar 4, 2025· 15 reactions
    CivitAI

    I'd like to echo what you said about the Civitai Creator Program, what a load of BS!!