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Taihou — LoGG 2.5D Realism

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fp16 SafeTensor

Taihou_vV2.safetensors

Half precision, best balance • 377.33 MB

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Type
LoRA
Stats

37

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Generation

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Reviews
Published

Oct 6, 2026

Base Model

Illustrious

Training
Steps: 1,500
Epochs: 30
Usage Tips
Strength: 0.8
Hash
AutoV2
D83D296981
Trigger Words
Taihou
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Followers - 28

28

Likes - 137

137

Taihou_20261006_090523_693277142.png

Taihou — Character LoRA

So, this is my Taihou LoRA, trained with the goal of accurately reproducing Taihou from Azur Lane while maintaining her recognizable character identity across different outfits, poses, compositions and environments.

The main focus of this LoRA was character likeness, especially the combination of her distinctive facial features, long black hair, red eyes, hairstyle, body proportions and overall visual identity.

The idea was basically:

Taihou → recognizable character → flexible character interpretation

while still preserving her characteristic appearance even when changing clothing, poses, lighting and environments.

Trigger Word

Taihou

Around 0.7–0.9 is a good starting point.

Lower weights can give you more flexibility with clothing, poses and environments, while higher weights will push Taihou's characteristic features and overall likeness more strongly.

Base Model

HassakuXLIllustrious

masterpiece, 8k, highly detailed face, highly detailed eyes,
individual hair strands, realistic fabric details,
detailed clothing, detailed lighting

A few things about the LoRA

This LoRA was trained primarily for Taihou's character likeness, rather than locking her to a particular outfit. It is intended to work across different clothing styles, poses, environments and compositions while keeping her recognizable features intact.

It works particularly well when combined with prompts describing the clothing, materials, lighting, environment and pose, allowing you to create different interpretations of Taihou without losing her identity.

The character's distinctive long black hair, red eyes, facial features and characteristic proportions are important parts of the intended result.

I recommend experimenting with the LoRA weight depending on the checkpoint and prompt you're using. 0.7–0.9 is a good general range, but some setups may produce better results with slightly lower or higher weights.

Have fun with it.