CivArchive
    Retro_PC_Interaction_SYNK - Retro_PC_Interaction_SYNK
    Preview 125843676
    Preview 125843728
    Preview 125843599
    Preview 125843713
    Preview 125843725
    Preview 125843726
    Preview 125843729
    Preview 125843730
    Preview 125844037
    Preview 125844040
    Preview 125844039

    This LoRA is a spatial interaction concept designed to bridge the gap between character poses and retro hardware. Specifically, it masters the rendering of the SYNK CRT Monitor from multiple angles while maintaining high character coherence.

    Key Capabilities:

    • True Object Depth: Unlike standard LoRAs, this model is trained to understand "Character behind object" layers. It allows the character to be partially obstructed by the monitor (front or back view) without losing anatomical consistency.

    • 360° Hardware Fidelity: Captures the unique industrial design of the SYNK monitor, including the rear cooling vents, port layout (VGA/Power), and the "MADE IN JAPAN" label texture.

    • Retro Workspace Aesthetic: Automatically generates consistent 90s-era peripherals like mechanical keyboards with coiled beige cables and CD jewel cases.

    • Pose-Hardware Separation: Thanks to advanced tagging logic, the model correctly distinguishes between the character's orientation and the monitor's orientation, preventing "back-view bleeding."

    Best Used For:

    • Generating "hacking" or "coding" scenes with a 90s anime aesthetic.

    • Creating consistent hardware for visual novels or technical illustrations.

    • Testing complex spatial compositions where objects are in the foreground.

    Description

    First release. Trained with 14 high-quality images focused on the SYNK monitor hardware and character interaction. Includes advanced tagging for front and rear hardware consistency.

    LORA
    Illustrious

    Details

    Downloads
    45
    Platform
    CivitAI
    Platform Status
    Available
    Created
    3/30/2026
    Updated
    3/30/2026
    Deleted
    -

    Files

    2815323_training_data.zip

    Mirrors

    CivitAI (1 mirrors)

    WWFKT98YZTVC00TCS0FXB3QF50.safetensors

    Mirrors