Fos illust XL (NoobXL)版本v1.0 (ID: 1042699)

Fos illust XL (NoobXL)版本v1.0 (ID: 1042699)

Introduction:

v1:

This is an initial experimental version. It’s an interesting attempt, and I hope everyone can give this fine-tuning a try as well.

v1 was created using a training set of 428 specialized images focused on scene enhancement and adjusting the character-to-background ratio.

This results in a more balanced composition between characters and scenes, as well as heightened sensitivity and lavishness in scene-related prompts.

Of course, if the prompt emphasizes character descriptions, the model will still display a unique stylistic flair and is fully compatible with various artist-related prompts.

The usage approach is similar to Illustrious-XL-v0.1 and NoobAI-XL (NAI-XL) Epsilon-pred 1.0-Version:

<1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags>

Base Model Used for Training:

v1:

NoobAI-XL (NAI-XL) Epsilon-pred 1.0-Version

Training Process:

v1:

Used: LyCORIS

  • Algorithm: LoKr

  • Optimizer: Lion

The final model was created by merging the trained LoKr with the base model, NoobAI-XL 1.0, at a weight of 1.0. It was not merged with any other models.


簡介

v1:

這是初步實驗的版本,是個有趣的嘗試,歡迎大家也可以試試這個微調,

v1使用了428張特化場景和人物與場景比例調整的訓練集,讓場景和人物占比更加平均,以及提升場景相關題詞的敏感度和華麗程度,

當然,如果提詞主要還是描述人物的話,依舊有風格上的變化,且依舊能和各種藝術家提詞組合搭配,

使用方式基本和Illustrious-XL-v0.1以及NoobAI-XL (NAI-XL) Epsilon-pred 1.0-Version相同,

<1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags>

訓練底模:

v1:

NoobAI-XL (NAI-XL) Epsilon-pred 1.0-Version

訓練流程:

v1:

使用LyCORIS

  • Algorithm: LoKr

  • Optimizer: Lion

最終模型是以底模,也就是NoobAI-XL 1.0合併經訓練的Lokr,以權重1.0合併而成,沒有和其他模型合併,

描述:

Base model:NoobAI-XL (NAI-XL) Epsilon-pred 1.0-Version

训练词语:

名称: fosIllustXLNoobxl_v10.safetensors

大小 (KB): 6775430

类型: Model

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

Fos illust XL (NoobXL)

Fos illust XL (NoobXL)

Fos illust XL (NoobXL)

Fos illust XL (NoobXL)

Fos illust XL (NoobXL)

Fos illust XL (NoobXL)

Fos illust XL (NoobXL)

Fos illust XL (NoobXL)

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