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    Eva Menta - v1.0
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    A commission of @findingavarice521.

    Eva Menta is an Italian model and social media personality, with more than 6M followers on Instagram.

    This is a 140-step TI trained on a dataset of 15 images with these settings.

    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 beautiful (3vam3nta:0.99), a woman with beautiful hair, as a movie star in a (movie premiere), premiere gala, (near a movie theatre), natural skin texture, (sexy tight {red|yellow|blue|green|black|turquoise} mesh strapless dress), 24mm, 4k textures, soft cinematic light, adobe lightroom, photolab, hdr, intricate, elegant, highly detailed, sharp focus, ((((cinematic look)))), soothing tones, insane details, intricate details, hyperdetailed, low contrast, soft cinematic light, exposure blend, hdr, faded, (paparazzi in background), (painted lips:1.1), ((looking at viewer:1.1))"

    Please also note that I'm using the "add detail" LoRA (attached as a recommended resource below) for my example pics. I recommend not setting it above 0.6 for this particular TI.

    Description

    140-step TI trained on a dataset of 15 images with these settings.

    FAQ

    Comments (1)

    LoraBenderOct 20, 2023· 1 reaction
    CivitAI

    A queen

    TextualInversion
    SD 1.5

    Details

    Downloads
    928
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    10/14/2023
    Updated
    7/7/2025
    Deleted
    5/23/2025
    Trigger Words:
    3vam3nta

    Files

    3vam3nta.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.