Fervent Tempo Delta ∆ (Rozaliya Olenyeva) (Honkai Impact 3): Release 3R: data.zip

Other Standard Training Data
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Addresses some attire issues from Release 1~3!!

Improvements (vs. Release 3):

Stockings now appear blue and pink much more reliably

The right side of her jacket (from viewer's perspective) is now black much more reliably

Trigger Words

Put (long hair, mismatched stockings:1.15) in positive prompt, and (weapon, sword, holding, holding weapon, holding sword, tail, mechanical tail:1.5) on negative prompt

This is not required but seems to yield better results.

Training Details (compared to Release 3)

The training images are the same, but one image was flipped horizontally, and another was moved to the lower weight folder. Also weight for the higher weight folder increased a little.

Training Parameters

(w/ bmaltais/kohya_ss; see Training Data File for full LoRA training parameters extracted with kohya-ss/sd-webui-additional-networks)

Trained on: nai.ckpt (925997e9)

Training Batch Size: 2

LR: 0.0007, UNet LR: 0.0007, TE LR: 0.000175, Scheduler: Cosine w/ Restarts

Epochs: 3, Dim: 32, Alpha: 16, Resolution: 512x512, Clip Skip: 2

*EasyNegative in the example images is an embedding from here.

Fervent Tempo ∆

Character: Rozaliya Olenyeva (Honkai Impact 3)

Battlesuit: Fervent Tempo ∆, original outfit

Pixiv post here

Usage (Important!)

Compatibility

Should work with most anime-like checkpoints. Tested with AOM3, BOM, Hassaku, Grapefruit, PVC-AOAOKO, Cornflower X, etc.

Weight

Recommended 0.825; 0.75~0.90 range works nicely depending on how much flexibility you need.

Trigger Words

No trigger words are required. However:

You can put (mismatched stockings, long hair:1.15) on prompt and (tail, mechanical tail, weapon, sword, holding, holding weapon, holding sword:1.15) on negative prompt for better consistency.

Other

Image Details

Preview images use AOM3 or BOM, unless stated otherwise.

VAE used is orangemix (nai)

Training Details

May vary based on version. See individual versions for details.