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    Chinese Regional Young Men| Rural & Urban Portraits中国地域青年面孔:乡土与城市肖像 (Krea2) - v1.0
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    中文介绍

    这是一个面向 18–25 岁中国年轻男性写实肖像的实验性 LoRA。训练集以普通、自然、不过度精修的青年面孔为主,其中约 70% 是县乡或农村生活环境,约 30% 是普通城市环境;18–22 岁约占 72%。

    主启动词chinaregionmale

    地域控制词:

    - northeast_china:东北

    - north_china:华北

    - east_china:华东

    - central_china:华中

    - south_china:华南

    - southwest_china:西南

    - northwest_china:西北

    年龄控制词:

    - age_18_22

    - age_23_25

    训练标签不区分城乡,也不区分民族。训练集约 70% 是县乡/农村生活环境,因此普通、自然、略带乡土感的气质由总启动词 chinaregionmale 直接学习。建议一次只使用一个地域词。LoRA 权重可先从 0.45–0.75 测试;如果面孔变化不明显再逐步增加,不建议一开始拉得过高。

    示例提示词:

    chinaregionmale, northeast_china, age_18_22, front, young Chinese man, short black hair, plain T-shirt, village courtyard, natural daylight, realistic documentary portrait

    chinaregionmale, south_china, age_18_22, three quarter left, young Chinese man, short black hair, orchard background, natural skin, realistic photo

    chinaregionmale, east_china, age_23_25, front, young Chinese man, simple casual clothes, county-town street, soft daylight, realistic portrait

    注意:本模型学习的是合成训练图中的创作性地域风格差异,不代表任何地区或民族存在唯一“标准脸”,也不能用于依据照片判断真人的籍贯、民族或身份。不同地区真实人群高度重叠,请把这些标签理解为生图控制词,而不是生物识别结论。

    English Description

    An experimental realistic-portrait LoRA for Chinese young adult men aged 18–25. About 70% of the dataset uses county-town or rural everyday settings, while about 30% uses ordinary urban settings. Roughly 72% of the subjects are aged 18–22. The intended look is natural, grounded, and lightly documentary rather than polished or influencer-like.

    Main trigger: chinaregionmale

    Regional tags: northeast_china, north_china, east_china, central_china, south_china, southwest_china, northwest_china.

    Age tags: age_18_22, age_23_25.

    The training captions do not separate ethnic groups or rural/urban subjects. Around 70% of the images use county-town or rural settings, so the grounded, slightly rustic everyday look is learned by the main trigger itself. Use one regional tag at a time. A LoRA weight around 0.45–0.75 is a practical starting range.

    This model captures creative visual tendencies from synthetic training portraits. It does not define a single “standard face” for any region or ethnic group and must not be used to infer a real person’s origin, ethnicity, or identity from an image. Treat the labels as generation controls, not biometric conclusions.

    Description

    FAQ

    Comments (2)

    txxhhAug 21, 2026
    CivitAI

    Great LoRA! Thanks for sharing. Looking forward to more updates!

    858654128784
    Author
    Aug 21, 2026

    Thank you for your comment!

    LORA
    Krea 2

    Details

    Downloads
    151
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/11/2026
    Updated
    8/29/2026
    Deleted
    -

    Files

    Chinese_Regional_Young_Men___Rural___Urban_Portraits____________epoch_9.safetensors