CivArchive
    artist:天凉多喝防冻液 (tldhfdy) / Antifreez3_ Style - Anima Base-v1.0 - Anima v1.0 exp
    NSFW
    Preview 136784552
    Preview 136784484
    Preview 136785441
    Preview 136787948
    Preview 136789266

    Highly recommended: v2.0 !!!!

    v1.0 exp is for experiment, if you want to have a more detailed and controllable output plz use normal v2.0!

    This LoRA was trained to capture and replicate the art style of @Antifreez3_ .

    Recommended trigger word:

    @tldhfdy_style for v2.0

    @tldhfdy for exp v1.0 and before

    Recommended weight:

    A weight of 1.0 is recommended, but you can adjust it slightly higher for a stronger style effect.

    PS:

    This LoRA was trained with space-separated tags, not underscore-style tags. For example, please use simple background and upper body, not simple_background or upper_body.

    When I trained this LoRA, I did not know the artist had an English name, so I used the pinyin of the artist’s name as the trigger word. If enough people like this model, I may consider adding more training images and training a new version with the correct trigger word. (ps: sorry guys, I forgot QWQ) (ps2: sorrrrrrrrry , I forgot again QWQ QWQ)


    这个 LoRA 的训练目标是为了还原画师 天凉多喝防冻液(@Antifreez3_的个人艺术风格。

    推荐触发词:

    @tldhfdy_style (v2.0)

    @tldhfdy (exp v1.0 及 以前)

    推荐权重:

    推荐使用 1.0 的权重,如果需要更强烈的风格表现,可以适当调高权重。

    PS:

    本 LoRA 训练时使用的是空格格式的标签(tag),而不是下划线格式。例如,请使用 simple backgroundupper body,而不是 simple_backgroundupper_body

    当我训练这个 LoRA 时,我还不知道画师有英文名,所以用了他名字的拼音当作触发词。如果有足够人喜欢这个模型的话,我会考虑补充一下训练集,然后训练一个有着正确触发词的版本。(对不起各位,我把这茬忘了 QWQ) (对不起,我又又忘了QWQ QWQ)

    Description

    Using a new training method.

    Hope it performs a little better.

    better with tag l*li (the L word, not l*li)

    FAQ

    LORA
    Anima

    Details

    Downloads
    274
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/15/2026
    Updated
    8/11/2026
    Deleted
    -
    Trigger Words:
    @tldhfdy

    Files

    @tldhfdy-000013.safetensors

    Mirrors

    TensorFiles (1 mirrors)