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    Anima Retro 90s Anime Style - Duelist Yugioh - v1.0
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    A retro 90s-style anime-aesthetic LoRA trained specifically for the Anima 2B (DiT) architecture.

    This model excels at capturing classic hand-drawn cell-shaded textures, clean, sharp line art, and bold, high-contrast hair and clothing highlights reminiscent of late 90s television animation.

    Optimized to handle complex props and dynamic perspective shots cleanly without breaking hand or body anatomy.

    ### Recommended Generation Settings for Anima:

    - LoRA Weight: 0.85 - 1.0

    - Native Resolution: 768x768 (or bucketed equivalents)

    - Classifier Free Guidance (CFG): 3.5 - 5.5

    - Base Model: Anima Base v1.0

    - Trigger concepts: "retro 90s anime style," "cel-shaded," and "sharp line-art"

    Disclaimer

    These models are shared without warranties and with the condition that they are used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.

    Description

    Initial release of the Anima-native retro 90s anime-style LoRA.

    This model is trained locally on a meticulously captioned 117-image dataset using an optimized low learning rate to fully preserve Anima's unique Qwen-based text understanding. It accurately injects cell-shaded aesthetics, crisp line art, and classic dramatic highlights into modern generation pipelines.

    - Retains excellent structural fidelity for handheld mechanical props (e.g., duel disks).

    - Highly responsive to background and clothing prompt adaptations.

    FAQ

    LORA
    Anima

    Details

    Downloads
    103
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/14/2026
    Updated
    7/27/2026
    Deleted
    -

    Files

    yugioh000009.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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