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    ID-GEO: Generic Enhancement Operator - v1
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    ID-GEO (Generic Enhancement Operator)

    Experimental Ideogram 4 research LoRA targeting the unconditional branch.

    Developed to explore guidance-prior modification and its influence on generated images.

    Designed primarily for img2img workflows, but compatible with txt2img as well.

    Recommended starting strength: 0.5–0.7
    Observed sweet spot: ~0.8

    Examples

    1. Photorealistic Action Portrait

    Human, animal, and motion-detail preservation across increasing GEO strengths.

    2. Sci-Fi Environment

    Comparison of material rendering, lighting behavior, and structural consistency.

    3. Close-Up Portrait

    Evaluation of skin texture, hair separation, and facial identity stability.

    4. Typography

    BBox-controlled typography comparison focusing on glyph integrity, spacing, and embossed detail.

    5. Anime Character

    Anime-style comparison evaluating linework, cel-shading stability, and background signage.

    Notes

    • Intended for use on the Ideogram 4 unconditional branch.

    • Experimental research project.

    • Results may vary depending on workflow, guidance settings, denoise strength, and additional LoRAs.

    Description

    v1

    FAQ

    LORA
    Ideogram 4.0

    Details

    Downloads
    116
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/18/2026
    Updated
    6/20/2026
    Deleted
    -

    Files

    ID_GEO.safetensors

    Mirrors

    CivitAI (1 mirrors)

    ID_GEO img2img.json

    Mirrors

    CivitAI (1 mirrors)