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    Artist: 么懒懒/MeLanLan - v1.0
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    么懒懒 Style LoRA

    中文 | English 使用前阅读 | Read before use

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    最终成图需要较大分辨率。

    The final image requires a larger resolution.

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    仿么懒懒的作画风格的LoRA模型。

    权重建议值:0.7~1.1

    基于模型:Anything-5RE

    训练信息:共计294张原画(含裁剪图),最后一次训练迭代1176步。

    拟合比率:

    • 肢体拟合:17%

    • 人物拟合:25%

    • 构图拟合:10%

    • 技法拟合:110%

    其他的一些建议:EasyNegative, badhandv4。

    LoRA model with a painting style imitating MeLanLan.

    Recommended weight value: 0.7~1.1

    Based on the model: Anything-5RE

    Training information: A total of 294 paintings (including cropped images) were used for training, with the final training iteration completed at 1176 steps.

    Fitting ratio:

    • Motion fitting: 17%

    • Character fitting: 25%

    • Composition fitting: 10%

    • Technique fitting: 110%

    Other suggestions: EasyNegative, badhandv4.

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    任何问题,欢迎反馈,问题不提出就不会得到解决。如果你创作出了好作品,欢迎分享它。如果它无法满足你的需求,我是说,我的朋友,请不要给出一星好评。

    Any questions are welcome for feedback, as problems will not be solved without being raised. If you have created a great work, please feel free to share it. If it cannot meet your needs, my friend, please do not give a one-star rating.

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    题外话

    经过试验后我发现较大体积的模型能够轻松提供好的拟合效果,但是每个画风模型都144MB真的能接受嘛……大模型训练起来比小模型轻松不少,哪天我摆烂了可能会直接改用144MB甚至288MB的模型。

    Digression

    After experimenting, I found that larger models can easily provide good fitting effects, but can we really accept a 144MB model for each drawing style... training larger models is much easier than smaller ones. If I become lazy someday, I may directly use a 144MB or even 288MB model.

    Description

    待完善。

    FAQ

    Comments (2)

    shmliy0310Jun 18, 2023
    CivitAI

    这个好!!(模型太小对效果不太放心,144最好)

    nightseeJul 4, 2023
    CivitAI

    太牛了佬!非常感谢更新!

    LORA
    SD 1.5

    Details

    Downloads
    792
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/17/2023
    Updated
    5/11/2026
    Deleted
    -
    Trigger Words:
    1girl

    Files

    style_MeLanLan.safetensors

    Mirrors

    TensorFiles (1 mirrors)