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    Ultra-Realist Style (Digital/CGI Illustrations) - Ultra-Realist [beta]
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    Ultra-Realist Style

    This lora is an aesthetic style blending the characteristics of gpt-image-1 and Nano Banana Pro. I particularly like the realistic skin detail, but digital illustration style both can achieve with the right prompting, and wanted to bring this local. Staring this journey I am using Z-Image-Turbo. I wanted to see how trainable it was, on top of what sort of high frequency details it was capable of (a lot of early images, and vanilla generations are very compressed looking.)

    Trigger

    The dataset uses a purely style-based tagging system using mainly photographic terminology besides the trigger prefix ultra-realist style, ... You can caption for realism as you normally would with or without triggers.

    • Realism:
      ultra-realist style,

    • Anime Realism:
      ultra-realist style, hyper-realanime aesthetic,
      ultra-realist style, anime style,

    • Environment:
      hyper-realist style, ultra-detailed cinematic environments,

    Weighting

    The lora works well at low, and higher weights. A good threshold from testing is 0.5 - 1.2 where higher is a stronger digital illustration effect.

    Dataset Info

    The Ultra-Realist beta lora is based on a SFW dataset. Suggestive themes/gore/blood was omitted from synthetic generations. That being said, it is just a style lora, and applies to whatever context you're prompting for. It just may not have the best results in the aforementioned.

    Description

    Beta release (same as "discord" version if you come across it)

    FAQ

    LORA
    ZImageTurbo
    by WAS

    Details

    Downloads
    389
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/7/2025
    Updated
    5/7/2026
    Deleted
    -
    Trigger Words:
    ultra-realist style,
    hyper-realist style, hyper-realanime aesthetic,
    hyper-realist style, ultra-detailed cinematic environments,

    Files

    hyper-realist_style_beta__z-image-turbo_dsv1_step3000.safetensors