CivArchive
    Vision Vanguard 25 (ERNIE-Image) - V2026.2
    NSFW
    Preview 131095908
    Preview 131096003
    Preview 131096012
    Preview 131096042
    Preview 131096052
    Preview 131096065
    Preview 131096073
    Preview 131096079
    Preview 131096115
    Preview 131096155
    Preview 131096153
    Preview 131096181
    Preview 131096173
    Preview 131096180
    Preview 131096189
    Preview 131096190
    Preview 131096195
    Preview 131096198
    Preview 131096199
    Preview 131096236

    Vision Vanguard 25 [ERNIE-Image]

    Film-grade documentary realism: material textures, natural light and cinematic shadows.

    • Base model: ERNIE-Image

    • Trigger words: none

    • Helpful style keywords: documentary photograph, cinematic realism, high-contrast lighting, shallow depth of field, textured concrete, clinical atmosphere

    • Strength: 0.8–1.0 (1.0 for the full style, 0.8 to blend more easily with your subject). The version specs list 0.85–1.0.

    Prompting: write natural-language sentences, not keyword lists. A good order is subject → action/state → environment and materials → lighting → camera (for example "eye-level medium shot" or "macro close-up").

    Tips

    • Works best with muted palettes plus one or two color accents.

    • Naming materials ("raw concrete", "weathered metal", "coarse fur") brings out texture detail.

    • Describe a scene, not just a subject.

    • Try harsh backlighting or chiaroscuro.

    Description

    Retrained with a lower learning rate, so it produces fewer artifacts and hallucinations than V2026.1, which was overfitted.

    • Base model: ERNIE-Image

    • Strength: 0.85–1.0

    • Resolution: trained at 512, generate at 1024

    • CFG: 4.6 (Base) / 1.0 (Turbo)

    • Steps: 35–50 (Base) / 8–9 (Turbo)

    FAQ

    LORA
    Ernie

    Details

    Downloads
    111
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/18/2026
    Updated
    10/24/2026
    Deleted
    -

    Files

    (ERNIE-Image) Vision Vanguard 25 V2026.2.safetensors