CivArchive
    Shibamodel | Realistic Shiba Inu FLUX LoRA - v1.0 Initial Release
    Preview 132719050
    Preview 132719043
    Preview 132719044
    Preview 132719045
    Preview 132719048
    Preview 132719047
    Preview 132719051
    Preview 132719042

    Realistic Shiba Inu | FLUX LoRA

    A highly realistic Shiba Inu character LoRA trained for FLUX.1 Dev.

    This model is designed to generate a consistent Shiba Inu with realistic anatomy, expressive eyes, dense fur texture and strong breed characteristics. It performs exceptionally well in portraits, lifestyle photography, outdoor scenes and commercial pet photography.

    The LoRA was trained to maintain a recognizable identity while remaining flexible across different environments, poses and lighting conditions.

    Trigger Word

    Shibamodel

    0.75 - 0.9

    Best Use Cases

    • Pet portraits

    • Lifestyle photography

    • Outdoor scenes

    • Commercial pet imagery

    • Nature photography

    • Social media content

    • Animal character generation

    Features

    • Consistent breed appearance

    • Realistic fur texture

    • Detailed eyes

    • Natural anatomy

    • Strong prompt adherence

    • Photorealistic results

    Training Information

    • FLUX.1 Dev

    • 60 curated training images

    • 2520 training steps

    • Rank 16

    • FP16 workflow

    If you create something with this LoRA, feel free to share your results.

    Description

    Initial public release of Shibamodel for FLUX.1 Dev.

    A realistic Shiba Inu character LoRA focused on breed consistency, natural anatomy, expressive eyes and detailed fur texture. Designed for portraits, outdoor photography and commercial pet imagery.

    Recommended strength: 0.75 - 0.9

    LORA
    Flux.1 D

    Details

    Downloads
    14
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/3/2026
    Updated
    6/4/2026
    Deleted
    -

    Files

    Shibamodel.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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