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    H.R. Giger Arh+ - v1
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    H.R. Giger Arh+

    [EDIT: Retrained and overhauled version 10.0 is up and should now work with most models and LoRAs out there.]

    This LoRA model might work or it might not. I did this mainly for my own enjoyment as I wanted a model that specifically does high quality replication of the organic patterns in Giger's airbrush works. I went through my library and scanned in the highest quality images I had, some of them were digital photographs of the real works, so the source material was really high quality for the most part. When it works, it creates reaaally smooth and wide dynamic range renders.

    But, as this was my very first time training anything, I probably messed something up as when the LoRA training rendered out test prompts, the images were 100% what I was aiming for - but when I tested the LoRA out on Automatic1111's WebUI, nothing seemed to work or give the wide contrast results - it's probably something in my settings or the implementation of the LoRA network models is not quite there yet. At some point, like magic, it just started working more and more.

    Anyhoo, on WebUI, the best results come from somewhat lower CFG range, like 3-5 and with a base model that gives interesting stuff to paint on. I'll dive deeper into the training stuff and was thinking of making a SDv2 model with 768 sample images, but this seems to work ok so far. Test it out and show me what you create with it.

    H.R. Giger (1940-2014)

    Description

    v1 with 166 reference images (512px). Worked perfectly in the notebook's environment, not so great in Automatic1111's WebUI (didn't apply style at all a few times).

    FAQ

    LORA
    SD 1.5

    Details

    Downloads
    172
    Platform
    CivitAI
    Platform Status
    Available
    Created
    3/15/2023
    Updated
    4/30/2026
    Deleted
    -
    Trigger Words:
    hrgigerarhp
    hrgigerarhp style

    Files

    HRGigerArhP_v1.safetensors

    Size:
    8.13 MB
    SHA256:

    Mirrors

    Available On (1 platform)

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