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    AOM3 Based Giantess LoRA (Sunset) - v0.4
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    The LoRA was trained using 20 giantess images (initial version) I have generated using AOM3 last week.

    It is capable of creating female characters at/over building heights. The trigger word is "GiantessC" and best fits with "from above" or "from above" camera angles.

    I have tested the LoRA with the following models without merging:
    AnythingV3 - Good
    Any versions of Orange Mixes - Good
    Chilloutmix - Okay
    deliberate_v11 - Very Good
    Elysium_Anime_V3 - Okay
    Kenshi - Okay


    Update 01:
    It seems deliberate_v11 gives the BEST results in terms of raw model.
    (see images with crowded village)

    Make sure to have "height difference" or "size difference" to increase the chance of generating.


    Update 02:
    Replace images with newly generated ones using controlnet.


    Update 03 (12/09/2023):
    Last giantess related LoRA I have worked on.

    Camellia - Okay

    Models created by @GeneratedJudge - Okay (Works best with https://civarchive.com/models/105941/tanoshimi-2d)

    Perfect World - Okay


    Disclaimer:
    Depending on your model mix / prompt structures, outputs may vary and the chances of giantess occurrences may not be 100%. (Roughly 70% work on my test cases).

    Twitter

    Description

    Hi there! I was just cleaning up my old LoRA folders and noticed there are some unpublished, self-trained, giantess related LoRAs from March, 2023.

    This version was trained on

    1) walking on roads
    2) city on fire/buildings in ruins

    FAQ

    LORA
    SD 1.5

    Details

    Downloads
    2,621
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/11/2023
    Updated
    4/23/2026
    Deleted
    -
    Trigger Words:
    Giantess
    Size Difference
    From Above
    From Below
    Full Body
    city in flames
    ruins

    Files

    GiantessC_v0.4.safetensors

    Available On (1 platform)

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