CivArchive
    Jennifer Aniston - V1
    NSFW
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    She is most famous for her role in Friends, but she also starred in Horrible Bosses, Wanderlust, Derailed, Bruce Almighty, Along Came Polly, The Good Girl, The Bounty Hunter.

    Description

    UPDATE: there is now a textual inversion for Jennifer Aniston: https://civitai.com/models/4991/jennifer-aniston-ti

    As a creator of this dreambooth model I suggest you either use those two TOGETHER (best results) or just simply use the embedding itself.

    Since the model is made using custom merge, the simple prompts may return dull results. It's best to be creative and play with the strength of the token keywords.

    Merge included HassanBlend and Pyros which means that there should be less anatomically incorrect poses (and yes, you could use it in the way HassanBlend and Pyros were trained for as well).

    FAQ

    Comments (14)

    scruffynerfDec 18, 2022· 3 reactions
    CivitAI
    There is NO reason to make an entire checkpoint for this. A single person's images can be made into an embedding, which will make it about 20k or less, and used with ANY checkpoint. Reducing from 2gig to 20k is a massive savings. Please consider replacing this with an embedding, or supply your image set that you trained with, and someone else can make the embedding (or walk you thru making it yourself) Nothing personal, adding to a bunch of these 'checkpoints for one person's images'
    apo1sJan 1, 2023

    wdym and how to do that ?

    JustMaierDec 18, 2022· 12 reactions
    CivitAI
    It think Scruffy's comment deserves to be tested. Let's do a model vs embed comparison.
    malcolmrey
    Author
    Dec 18, 2022· 2 reactions
    I agree and I'm happy to share the test data with him :-)
    amuseddiffuserDec 19, 2022· 1 reaction
    Pretty sure results would be dramatically different between 1.x vs 2.x. Lets not forget 1.x knows celebrities better, but 2.x follows instructions (embedding) much better so..? This definitely needs more exploring...
    scruffynerfDec 19, 2022
    Good point on SD 1 vs 2...
    scruffynerfJan 2, 2023

    haven't forgotten this, just got distracted with other fun projects... will report back soon.

    JustMaierJan 19, 2023

    @scruffynerf I know you were working on this. Did you finish it?

    scruffynerfJan 19, 2023· 1 reaction

    @justmaier I need to organize and post stuff.

    malcolmrey
    Author
    Jan 19, 2023

    @scruffynerf @justmaier yeah, we are eagerly waiting for the results :-)

    recently there have been some TIs but they are either bad or of people who are already well defined in the base models :)

    there were SOME that had the resemblance, but mainly to be used in non photorealistic outputs (caricatures, cartoons, stylisations, etc)

    scruffynerfJan 20, 2023

    @malcolmrey I did post results on Discord.

    I specifically dealt with the "is it better than the built in" question.

    malcolmrey
    Author
    Jan 21, 2023

    @scruffynerf in which section? (could you link it?)

    scruffynerfJan 22, 2023· 1 reaction

    ok, posted: https://civitai.com/models/4991/jennifer-aniston-ti

    and I did 1.5 and 2.1 TIs...

    malcolmrey
    Author
    Jan 22, 2023· 1 reaction

    @scruffynerf i replied there with my analysis

    as often is, the answer is "it depends"

    for this particular case i would say use TI together with the DB model or use JUST the TI.

    But we need a more comprehensive comparison. We need to compare this with a pretty good DB model (sadly, this one is not that great when it comes to consistence)

    Checkpoint
    SD 1.5

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    Details

    Downloads
    764
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    12/18/2022
    Updated
    7/7/2025
    Deleted
    5/23/2025
    Trigger Words:
    sks woman
    (sks woman)

    Files

    jenniferAniston_v1_trainingData.zip

    Mirrors

    jenniferAniston_v1.ckpt

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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