CivArchive
    momo ayase 1.5 - momo ayase V1
    NSFW
    Preview 123841734
    Preview 123841739
    Preview 123841731
    Preview 123841738
    Preview 123841736

    Momo Ayase (Dandadan) - Consistent Character LoRA [SD 1.5]

    Description

    This LoRA is designed to generate Momo Ayase from the anime/manga series Dandadan with high consistency and flexibility. The model captures her signature aesthetic, including her reddish-brown bob cut, blunt bangs, and her distinctive large teal/turquoise hoop earrings.

    It has been trained to handle a wide variety of expressions—ranging from her classic annoyed or blushing look to more specific emotional states like panic or embarrassment—and multiple iconic outfits seen throughout her adventures.

    How it was made

    • Dataset: Curated with 40 high-quality, high-resolution images to ensure structural stability and character likeness.

    • Variety: The dataset includes a balanced mix of close-ups, upper-body, and full-body shots.

    • Tagging: Precisely captioned using Danbooru-style tags to allow for granular control over clothing and environment.

    • Outfits Included: * School Uniform.

      • Nurse Outfit (Pink).

      • Maid Outfit.

      • Hooters / Waitress Uniform.

      • Casual/Gym wear (Pink/White crop tops and shorts).

    Usage Tips

    • Trigger Word: momo ayase

    • Recommended Weight: 0.7 - 0.9 (Start at 0.8 for the best balance).

    • Key Features: Use teal earrings and large earrings to ensure her signature accessory appears correctly.

    • Base Model: Optimized for SD 1.5 (Works exceptionally well with anime-focused checkpoints like AnyLoRA).

    Description

    null
    LORA
    SD 1.5

    Details

    Downloads
    79
    Platform
    CivitAI
    Platform Status
    Available
    Created
    3/8/2026
    Updated
    5/22/2026
    Deleted
    -

    Files

    HREPC37KSC5T7HDBD929GNDPY0.safetensors

    Mirrors

    Available On (1 platform)

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