CivArchive
    charlotte mckinney - v1.0
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    Charlotte Ann McKinney is an American model and actress who first gained attention as an Instagram personality, eventually achieving wider recognition for her appearance in a Carl's Jr. commercial which aired regionally during Super Bowl XLIX in 2015. Wikipedia

    Born: August 6, 1993 (age 29 years), Orlando, Florida, United States

    Description

    FAQ

    Comments (6)

    1214966Jul 20, 2023
    CivitAI

    I feel its a bit soft, the images I mean. I trying a new method. Please comment. If no one like it I can try again with the old method.

    thanks

    j1551Jul 20, 2023

    Think I agree with you — what's your new method?

    1214966Jul 20, 2023

    I tried this method, from ParanoidAmerican

    https://civitai.com/models/101696/neve-campbell

    trained on ~20 images

    Learning Rate: 0.005:1000, 0.001:2000, 0.0001:5000, 0.00005

    Total Steps: 15,000

    Batch Size: 1

    Gradient Steps: 1

    Its interesting. Much less chance of error at such slow learning rates at the end. Just found it a bit soft. Could be my images.

    j1551Jul 20, 2023

    @summer4love263 Huh. I've been having good success on 30 images, learning rate 0.004, batch size 5, gradient step 6, and 300 steps. I push out an embedding every 25 steps, and It's usually in good shape by about 100-150 steps in.

    1214966Jul 20, 2023

    @j1551 I will give it a try. Always trying new things.

    j1551Jul 20, 2023

    @summer4love263 It's what I used on my just-published first embedding! https://civitai.com/models/113063/carey-mulligan

    TextualInversion
    SD 1.5

    Details

    Downloads
    379
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    7/20/2023
    Updated
    5/13/2026
    Deleted
    5/23/2025
    Trigger Words:
    charlottemckinney

    Files

    charlottemckinney.pt

    Mirrors

    HuggingFace (1 mirrors)
    CivitAI (1 mirrors)

    Available On (1 platform)

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