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    Angelina Jolie (JG) - v2.0
    NSFW
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    Angelina Jolie is an American actress and filmmaker, known for many roles in films such as Girl, Interrupted (for which she won an Academy Award), Lara Croft: Tomb Raider, Salt, Mr. and Mrs Smith or Maleficent, among others.

    Note: This embedding has been updated. Version 2.0 is a 140-step TI trained on a brand new dataset of 15 images with these settings. I'll probably upload a previous step (130) as version 2.1 later on, as I'm still unsure which one is better between the two.

    Curious about my work process? I have summarized it here.

    Do you have a specific idea for a TI in mind? Visit my website and let me know.

    Building a good prompt with my TIs

    You're obviously free to experiment, but bear in mind that my TIs are trained with a more or less fixed phrasing, that normally starts with:

    "photo of EMBEDDING_NAME, a woman"

    So I recommend always starting your prompt like that and then building the rest of the prompt from there. For instance, "photo of (aj0li3_JG:0.99), a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), photo of the most beautiful artwork in the world, professional majestic oil painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, trending on CGSociety, Intricate, High Detail, Sharp focus, dramatic, photorealistic painting art by midjourney and greg rutkowski, (white turtleneck top:1.2), ((movie premiere)), (long skirt), ((standing near a movie theater)), ((paparazzi in the background)), (looking at viewer:1.2), (detailed pupils:1.3), ((closeup portrait:1.1))"

    Description

    Retrained from scratch with a new dataset of 15 images. Usual settings. This is step 140.

    TextualInversion
    SD 1.5

    Details

    Downloads
    55
    Platform
    SeaArt
    Platform Status
    Available
    Created
    6/28/2023
    Updated
    8/20/2023
    Deleted
    -
    Trigger Words:
    aj0li3_JG-130

    Files

    Available On (1 platform)

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