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Ume (Ittla) | LoCon V3

23

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1 variant available

SafeTensor

58.54 MB

Verified:

Type

LyCORIS

Stats

124

14

Reviews

Published

Sep 26, 2023

Base Model

SD 1.5

Hash

AutoV2
90C7DD0844

Trigger Words

UmeIttla, colored skin, orange eyes, slit pupils, oni horns, short hair
toned
abs
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Manityro's Avatar

Manityro

I have opened up a request form

The Oni OC Ume from the artist Ittla. Works best between 0.8-1.0. Training done on NAI.

Trigger V3: "UmeIttla, colored skin, orange eyes, slit pupils, oni horns, skin-covered horns, short hair" always needed, add "toned" and "abs" for more accurate physique.

Suggestions/notes:

V3:

  • Added "skin-covered horns, short hair" to training which fixed hair turning into horns during hires.

  • Trained slightly longer than V2 which helped improve color and consistency.

    • Flexibility on clothing is still good, check samples from outfits ideas.

V2:

Trigger: "UmeIttla, colored skin, orange eyes, slit pupils, oni horns"

  • Extra tags were added in training on this version as they were the less stable parts of the character, now those features are more consistent across images.

  • "Slit pupils" are still hit/miss depending on model/hires settings so I suggest higher hires denoise as it can help create cleaner details.

  • Very flexible clothing wise as there is no set outfit.

    • Check above samples for outfits ideas (Some are based on source images)

  • Warning: Works best on animated style models. To use consistently on other less anime models you need to add "Purple skin, black hair" to avoid skin going pale.

A shot at remaking my first model on civitai as a LoCon with new training methods I have learned. It came out as nice upgrade with the helper tags being added to training as that way they stay a lot more consistent at the higher training resolution. I hope you all enjoy.

Feedback and reviews are always appreciated.

Nerdy training numbers (V3):

Trained on D8Dreambooth trainer

Optimizer: AdawW Dadaptation

Training resolution: 768

Unet LR: 1

Tnec LR: 1

Unet weight decay: 0.016

Tenc weight decay: 0.02

35 Epochs - 3710 Steps

Trained on 53 images using Reg images.