CivArchive
    Jamie Lee Curtis - 1983-85 era (LoRA) - JamieLeeCurtis LoRA v1.0
    Preview 7008656Preview 3721431Preview 3720841Preview 3713831

    NOTE: I am so exhausted trying to create women's apparel that is modest enough to not get flagged by civit's filters (1cm of skin below the middle of the throat is enough to trigger it sometimes, and at other times it seems to be turned off entirely), that I have decided henceforth to only post face images.


    INSTRUCTIONS (IMPORTANT!)

    1. Use a LoRA strength between 0.1 and 0.15. Anything more than that and you will get absolute garbage (see 'the three-times trained method' below).

    2. You may need to use negative prompts about male characteristics such as '1boy', and 'man', and 'ripped', etc (see 'This model is an interesting failure' below).

    3. The addition of the word 'female' and traditionally female-related positive prompts can help to stop Stable Diffusion trying to interpret Jamie Lee Curtis as a man (see 'This model is an interesting failure' below).

    4. If you want to reproduce the classic look of Jamie Lee Curtis, i.e., the short spiky hair of Trading Places and other mid-80s movies that she did, you will have to emphasise this, perhaps multiple times in the prompts, because the use of female emphasis in prompts is likely to cause Stable Diffusion to make Curtis's hair longer, and in general to conform her to its own idea of female beauty.


    This model is very likely to produce NSFW and nude renderings unless counter-prompted.

    Description

    Trained three times, at 512x512, 512x768, and 768x512 (identical data, different crops), and then merged with all three models at 100% strength, in Kohya (which is why LoRA strength has to be at 0.1).

    LORA
    SD 1.5

    Details

    Downloads
    258
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    4/24/2025
    Updated
    5/6/2025
    Deleted
    4/24/2025
    Trigger Words:
    jamieleecurtis woman

    Files

    Jamie Lee Curtis FINAL LoRA use 0point4 strength.safetensors