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    Style Asian Less - Negative V2
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    This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.

    Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.

    Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).

    I first created this when trying to make preview images for my South of the Border Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.

    How to use:
    Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.

    • Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)

    • Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0

    • Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.

    • Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.

    Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.

    Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi

    Description

    FAQ

    Comments (14)

    ptdurnvcoedqegsdnwDec 20, 2023· 4 reactions
    CivitAI

    What's new in V2?

    Zovya
    Author
    Dec 20, 2023· 6 reactions

    just better designed to work with modern models, it was getting old and I found the older one not as effective in some cases

    ptdurnvcoedqegsdnwDec 20, 2023· 2 reactions

    @Zovya thanks for the explanation, and your dedication to these resources. I use this occasionally, so it's really great to see it updated for compatibility!

    ptibouc77Dec 20, 2023
    CivitAI

    Why is there 2 trigger word? Do i need both or i can simply use the old way by having the v2 in negative prompt and the old regular one in positive prompt?

    Zovya
    Author
    Dec 20, 2023

    it's a civitai thing, to get a negative, you need the positive, but there's no positive, see description for proper use

    camowayDec 21, 2023
    CivitAI

    can I use as - weight? to make the more asian?

    EndlessDreamOnceHumanDec 29, 2023
    CivitAI

    I can't get it to work. If I add any prompt with Asian in it, it just goes more Asian. I am not experienced, so what EXACTLY do I put in the negative prompts? for V2 is it the words: "Asian-Less2-Neg"? Also reading another poster saying you can just use the word 'Asian' (or I find the word: 'Japanese' in the negative prompts does remove the Asian look. This works for me, However the model i am using is Russian and has a very very slight Asian mix in her. So using 'Asian' in the negative prompts takes ALL of the Asian mix out and makes her look way bad. You don't really notice the small amount of Asian in her until it is gone, and it is much of her beauty and look. That is why I am looking at this method. But, as I say, I can't get it to work.

    Zovya
    Author
    Dec 29, 2023

    Yes, just put Asian-Less2-Neg in the negative prompt. But it's sounding like you don't really need it in this case.

    @Zovya Thank you Zovya

    jcatsukiJan 28, 2024

    Just in case you're using SD A1111, you could just go to Textual Inversion tab then click the said embedding. The prompt will show up in either prompt box. Now you just have to make sure it's in the right prompt box (+ / - ).

    1588330Jan 12, 2024
    CivitAI

    I ran a fairly simple prompt using "Milf" to describe the female, Animesh as the model. I ran 10 without your negative & 10 after adding. Same result. All Asian females. The 2nd 10 weren't even close to Caucasian. Thanks for trying.

    Zovya
    Author
    Jan 17, 2024· 2 reactions

    Thanks for the comment

    AdrianWilkersonJan 30, 2024· 10 reactions
    CivitAI

    I tested this with a variety of realistic (and semi-realistic) models, namely cyberrealistic, dreamshaper, photon, epicphotogasm, leosam, chilloutmix, majicmix, pornmaster, icbinp and the like, and it just worked.

    Probably it won't turn your anime model into a DC Comics one, but that's not really what I'm after.

    To me, this is a five star.

    neon_sin459Jan 28, 2026
    CivitAI

    This embedding suddenly stopped working for me. Any idea why? I am using sd 1.5. Same thing with the age slider.

    TextualInversion
    SD 1.5

    Details

    Downloads
    16,247
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/20/2023
    Updated
    5/14/2026
    Deleted
    -
    Trigger Words:
    Asian-Less2-Neg

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.