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    Amara Lestari - V1
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    Amara Lestari – LoRA Model Description

    Model Overview:
    Amara Lestari is a semi-realistic LoRA model designed to generate a beautiful Southeast Asian female character with consistent facial features, body proportions, and versatile outfits. Perfect for school, office, gym, cocktail, or evening dress scenes.

    Outfit / Style Options:

    • School Uniform: shirt, skirt, necktie, OSIS badge

    • Office: blazer, blouse, pencil skirt, heels

    • Gym: sports bra, leggings, sneakers, towel, fitness smartwatch

    • Cocktail / Evening Dress: glamorous, sleeveless, low-cut, sequin, or flowing gowns

    Prompt & Trigger Recommendations:

    • Trigger word: (AmaraLestari:1)

    • Suggested tags: blue eyes, long wavy black hair, elegant glasses, large breast, slim waist, elegant figure

    Notes:

    • This is a LoRA test / trial model

    • Designed to maintain consistent facial features and hair across poses and outfits

    • Works well with semi-realistic, cinematic, or stylish visual styles

    • Feedback welcome: if you have any suggestions or encounter issues, feel free to contact/chat

    Description

    Version Notes:
    Trial LoRA for Amara Lestari. Maintains consistent face, hair, and body across outfits. Includes school uniform, office, gym, and cocktail styles. Feedback welcome for improvements.

    LORA
    Illustrious

    Details

    Downloads
    97
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/25/2025
    Updated
    5/16/2026
    Deleted
    -
    Trigger Words:
    school uniform, necktie, OSIS badge
    cocktail dress, sequin, sleeveless
    (AmaraLestari:1), blue eyes, long wavy black hair, elegant glasses, slim waist, elegant figure

    Files

    Amara_Lestari-000019.safetensors

    Mirrors

    2144257_training_data.zip

    Mirrors

    CivitAI (1 mirrors)

    Amara_Lestari-000019.safetensors

    Mirrors

    Available On (1 platform)

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