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Ume (Ittla) | LoCon V3

37
280
1.3k
3
Verified:
SafeTensor
Type
LyCORIS
Stats
166
1,327
Reviews
Published
Oct 8, 2023
Base Model
SD 1.5
Training
Steps: 3,710
Epochs: 35
Usage Tips
Clip Skip: 2
Trigger Words
UmeIttla, colored skin, orange eyes, oni horns, skin-covered horns, short hair
toned
abs
Hash
AutoV2
BAD3FB48BA
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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.