CivArchive
    Hyper_Realistic_Character - V1
    Preview 128294878
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    Hyper_Realistic_Character – LoRA Description

    Where realism meets precision.

    Hyper_Realistic_Character is a LoRA designed to generate highly detailed, photorealistic human characters with lifelike accuracy. It focuses on natural skin texture, realistic proportions, and subtle imperfections that bring digital subjects closer to real-world photography.

    Faces feature fine details such as visible pores, natural skin variation, and accurate lighting response. Eyes reflect light realistically, while expressions maintain believable anatomy and emotional depth. The model avoids artificial smoothness and instead embraces imperfections that enhance realism.

    Lighting plays a key role, with support for studio setups, natural daylight, and cinematic environments. Depth of field, lens characteristics (such as 35mm and 85mm), and photographic composition are emphasized to achieve a true camera-like result.

    Perfect for:

    • Photorealistic portraits

    • Cinematic character scenes

    • Real-world style photography simulations

    • Professional-looking AI-generated humans

    This LoRA performs best with prompts including photorealistic, natural skin texture, realistic pores, cinematic lighting, depth of field, and film photography. Avoid cartoon, anime, or stylized keywords to preserve realism.

    Adjust the LoRA weight to control intensity—from subtle realism enhancement to fully lifelike character generation.

    Designed for creators who want reality, not approximation

    Description

    First version

    LORA
    SDXL 1.0

    Details

    Downloads
    45
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/22/2026
    Updated
    5/26/2026
    Deleted
    -

    Files

    2881400_training_data.zip

    Mirrors

    CivitAI (1 mirrors)

    0B8G7G2N4YCP855YW9WF51YC40.safetensors

    Mirrors

    Available On (1 platform)

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