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    Dota Dragons Blood | Style and Characters - V0.1
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    This is both a style and character Lora based on screen grabs of the first 3 episodes of Dota Dragons Blood.

    It is still very early testing, more images are needed along with some tag refinement, but Mirana, Marci and Davion will generate and style is mostly seperated.

    Description

    Very early access (though, idk how to actually post early access)

    Mirana can technically work without "mir circlet", but her hair color is more consistent while using it.

    FAQ

    Comments (9)

    6950350Apr 20, 2025· 1 reaction
    CivitAI

    Could you seperate them into seperate loras.Maybehave all the 3 outfits for mirana.

    grettaklu99585
    Author
    Apr 20, 2025

    I tried, but it tends to overtrain the character. Having the model learn multiple characters and the style tends to let it have a better understanding of what differentiates each of them.


    I recently learned a new training process, so I will try to get the characters and style better trained

    6950350Apr 22, 2025

    @grettaklu99585 Thanks! Are there Any plans on doing the other Dota Girls as well; Lina, Rylai, Auroth ?

    grettaklu99585
    Author
    Apr 22, 2025

    @Autismo_Maximus Potentially, training each character depends on how significant the character is overall. Primary cast should be easy, but any secondary or tertiary characters are unlikely to be properly trained.

    I will make sure to include them in training tho and see if I can get them to generate properly.

    grettaklu99585
    Author
    Apr 23, 2025

    @Autismo_Maximus I can add Lina, Luna, Fymryn and maybe Slyrak.

    Bram, Auroth and Rylai do not have enough data to get trained well. I did a test run where I emphasized their training 6x more than other characters, but it caused the model to heavily artifact. I'm now training a new update with the three women, then I will start on adding outfits.

    6950350Apr 24, 2025

    @grettaklu99585 Gracis
    Edit: Was v0.2 trained using a different method? I just tried v0.2 ,and v0.1 actually outperforms it in terms of image quality and accuracy on Marci and Mirana.
    If you don't mind could you share the training dataset?

    grettaklu99585
    Author
    Apr 24, 2025

    @Autismo_Maximus What prompt and base model are you using to compare?

    On Yiff-mix, I am finding the style/character alignment near perfect for the new version, with no outfits yet (as expected since they are not trained yet)

    On NoobVpredCyberfix, neither are style aligned nor particularly accurate. Not sure why that is yet.

    Test prompts were "screencap, marci, portrait" for old version and "dragons_blood_style, marci, portrait" for new version.

    grettaklu99585
    Author
    Apr 25, 2025

    @Autismo_Maximus v0.3 is up, should help fix Marci/Mirana specifically.

    Additionally, the style prompt should align to the style more this time. Still a WIP with only "Coat, Tiara, Crown, Armor" being known clothing tags.

    6950350Apr 27, 2025

    @grettaklu99585 The model i'm using is goofy ai's Prefect Illustrious.
    V.03 fixes the faces from v.02,but i still prefer the v.01 Marci and Mirana.(For marci i'm prompting the outfit and appearance myself: marci,marci armor,brown eyes,brown hair,shot hair,short ponytail,blue sleeves,black leggings,brown vambraces)
    I can use v.01 for Marci and Mirana and the later versions for the other characters. Not really a big deal.
    Thank you for your work

    LORA
    Illustrious

    Details

    Downloads
    114
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/20/2024
    Updated
    6/13/2026
    Deleted
    -
    Trigger Words:
    screencap
    davion
    mirana, mir circlet
    marci
    davion, dav armor, dav cloak, dav sword
    marci, marci armor, marci cloak
    mirana, mir circlet, mir cloak, mir armor

    Files

    Dota_Dragons_Blood__Style_and_Characters.safetensors

    Available On (1 platform)

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