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エリーゼ・ルタス Elize Lutus (TALES OF XILLIA) XLPony

89

Updated: May 20, 2024

charactergamegirls

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1 variant available

SafeTensor

109.16 MB

Verified:

Type
LoRA
Stats

315

89

21

Reviews
Published

May 20, 2024

Base Model

Pony

Training
Steps: 9,000
Epochs: 100
Usage Tips
Clip Skip: 1
Strength: 1
Hash
AutoV2
0570462DEA
Trigger Words
Elize Lutus
TALES OF XILLIA
blonde hair
green eyes
default creator card background decoration
Followers - 138

138

Likes - 1966

2K

Bronze Tier Supporter Badge April 2024
10445-1895142053-Elize Lutus, TALES OF XILLIA, 1girl, blonde hair, green eyes, frilled dress, natural lighting, detailed background, huge filesiz.png

Lora+ と CosineAnnealingLR と PagedAdamW8bit の組み合わせテスト

20epochで形になるがLossがきれいな低下傾向だったので100epochまで学習させたLoRA

--lr_scheduler_type "CosineAnnealingLR" --lr_scheduler_args "T_max=900" "eta_min=0e-0" --network_args "loraplus_lr_ratio=16"

T_maxをlrが底になるように設定したほうが良いと途中で気づいた

PagedAdamW8bit はVRAM足りるならAdamW8bit で良かったとか

推奨ネガティブ

blurred details,blur,blurred,upscaled image

アップスケールとラマクリーナーで一部ディテールが潰れた画像があるため

Combination Test of Lora+, CosineAnnealingLR, and PagedAdamW8bit

This LoRA model showed promising results after 20 epochs, with a clear downward trend in Loss, so I extended training to 100 epochs.

Parameters:

  • LR Scheduler Type: CosineAnnealingLR

  • LR Scheduler Args: T_max=900, eta_min=0e-0

  • Network Args: loraplus_lr_ratio=16

Observations

  • T_max Setting: It's better to set T_max to ensure the learning rate reaches its minimum.

  • Optimizer Choice: PagedAdamW8bit was used, but AdamW8bit would have been sufficient if VRAM was available.

  • Prompts: blurred details, blur, blurred, upscaled image

  • Reason: Some images had details blurred due to upscaling and using the Lama Cleaner.

余談

スペルはzだ

ロータス・エリーゼという名車があるのでスペルミスでちょっと無駄なことをした