CivArchive
    BOOscapes - v1.0
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    Preview 856789

    Add some wonder to your generations. Trained on photos of large landscapes, garden photos, photos of wildflowers. Trained on tall portrait to wide landscape images. Consider 768x786 box and tall/short resolutions in that range (448x768, 768x448).

    Description

    unet: 0.0008 text encoder: 0.0001 scheduler: cosine_with_restarts
    optimizer: torch.optim.adamw.AdamW(weight_decay=0.01,betas=(0.9, 0.999))
    network dim/rank: 16.0 alpha: 16.0
    noise offset: 0.1

    UNet attention weight average magnitude: 1.7017517682187613

    UNet attention weight average strength: 0.012998264675958538

    Text Encoder weight average magnitude: 1.7404300412039346

    Text Encoder weight average strength: 0.011727700822200437

    LORA
    SD 1.5

    Details

    Downloads
    3,751
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/8/2023
    Updated
    1/8/2026
    Deleted
    -
    Trigger Words:
    booscapes

    Files

    booscapes.safetensors

    Mirrors

    CivitAI (1 mirrors)