CivArchive
    Monster Diffusion - 1.0
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    Finetuned from 50 high quality chosen images.

    This model has a monster bias producing great monster with great fidelity.

    You don't need any specific trigger words. Any monster related prompt will result in a strong level of monstrosity.

    Based on SD1.5

    Please use vae-ft-mse-840000-ema-recommended VAE for optimal results

    Use 768x768 for best results

    Prompt Examples:

    Prompt: scary monster, dark fantasy art in the style of greg rutkowski and craig mullins. hyper detailed 8 k ultra realistic painting movie still unreal engine 5 render with nanite as a path tracing reflections raytracing cinematic lighting wide angle exterior photography by zdzisław beksinski trending on pinterest furaffinity octane colored brushstrokes concept studio portrait black background
    Negative prompt: 3D, cartoon
    Steps: 36, Sampler: Euler a, CFG scale: 7, Seed: 1058838011, Size: 768x768,

    Description

    Initial Release

    FAQ

    Comments (2)

    RoBeRtAoApr 1, 2023· 1 reaction
    CivitAI

    nice model

    nonyabiznezcomicsMay 20, 2023
    CivitAI

    This model does not seem to work in SD1.4. NansException: A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.

    Time taken: 2.87s

    Torch active/reserved: 4277/5168 MiB, Sys VRAM: 7464/8192 MiB (91.11%)

    Checkpoint
    SD 1.5

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    Details

    Downloads
    3,359
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    1/25/2023
    Updated
    7/15/2025
    Deleted
    7/9/2025

    Files

    monsterDiffusion_10.ckpt

    Mirrors

    CivitAI (1 mirrors)

    monsterDiffusion_10.safetensors

    Mirrors

    Available On (1 platform)

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