Ayumu - Mukashi Ijou no Futari ni [Barlun]

LORA
Original


Updated:

Lora Strength: 0.7 - 0.9

Trigger Words

  • ayumuww, brown eyes, brown hair, side ponytail, hair between eyes, large breasts,

  • ayumuww, brown eyes, brown hair, hair down, long hair, straight hair, hair between eyes, large breasts,

Optional

  • dark-skinned female, tan, tanlines,

  • glasses, semi-rimless eyewear, under-rim eyewear,

Outfit

  • school uniform, necktie, loose necktie, collared shirt, short sleeves, pleated skirt, socks,

  • school uniform, necktie, loose necktie, collared shirt, long sleeves, sleeves rolled up, pleated skirt, socks,

  • school uniform, necktie, cardigan, collared shirt, long sleeves, pleated skirt, socks,

Due to a lack of sufficient training data, the outfit is primarily recreated using prompts.

学習に十分な素材が無かったので、衣装はほぼプロンプトで再現しています。


Since this LoRA was trained on a dataset of monochrome images, it is recommended to add "monochrome, grayscale" to the negative prompt when generating color illustrations.

Additionally, including prompts such as "anime coloring" and specifying hair and outfit colors can increase the likelihood of generating color illustrations.

For example, try prompts like "brown eyes" or "blue skirt" to clearly indicate colors other than black or white.

If the character's trigger word already includes color information, you may not need to worry about this as much.

このLoRAはモノクロ画像のデータセットで学習されているため、カラーイラストを生成する際にはネガティブプロンプトに "monochrome, grayscale" を追加することを推奨します。

さらに、"anime coloring" のようなプロンプトを含めたり、髪や服の色を指定することで、カラーイラストを生成する可能性を高めることができます。

例えば、"brown eyes"や"blue skirt"のように、白や黒以外の色を明確に指定するのが効果的です。

なお、キャラクターのトリガーワードに既にカラー情報が含まれている場合は、特に気にしなくても構いません。

Version Detail

Illustrious

Project Permissions

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

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