CivArchive
    BOOscapes - v1.0
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    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
    3,732
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/8/2023
    Updated
    9/27/2025
    Deleted
    -
    Trigger Words:
    booscapes

    Files

    booscapes.safetensors

    Mirrors

    CivitAI (1 mirrors)