<h3 id="heading-35">欢迎使用MIAOKA_Anime Girl模型 这个模型 是类二次元风格的人物模型 及 MiaoKa_reality 转变画风模型</h3>Welcome to use the miaoka_anime girl model which is a secondary model of the class and the transformation of the miaoka_reality model------------------------------------------------------------------------------------------这个模型为了是适配 MiaoKa_reality Checkpoint模型 模型的微调模型这个模型可以实现让MiaoKa_reality 转变画风为二次元画风当然这个微调模型可以可单独使用搭配其他 Checkpoint模型来使用This model is a fine-tuned model of the MiaoKa_reality Checkpoint modelThis model allows miaoka_reality to change the style of drawing to animationOf course, this fine-tuning model can be used separately from other Checkpoint models画风转变方法：如需要在使用MiaoKa_reality Checkpoint模型时候把画风转变成二次元画风 择需要加入 A模型： &lt;lora:MIAOKA_Anime Girl:1&gt; + B模型：例如： &lt;lora:MIAOKA_Meidusha_v1.0:1&gt; 即可将画风转变成二次元画风If you need to change the painting style into quadratic painting style when using MiaoKa_reality Checkpoint model, you need to add model A: &lt;lora:MIAOKA_Anime Girl:1&gt; + B model: for example:&lt;lora:MIAOKA_Meidusha_v1.0:1&gt; The painting style can be transformed into a secondary painting style<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/62c5926f-bdc4-42af-bf07-01d315640b0b/width=525/62c5926f-bdc4-42af-bf07-01d315640b0b.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3dae4434-a3b9-4941-8975-1115021d9cd6/width=525/3dae4434-a3b9-4941-8975-1115021d9cd6.jpeg" />---画风转换前⬆ （before）---------------------- 画风转换后⬆（after)---使用建议（ Recommendations of use）:此模型是基于MiaoKa_reality训练而成 建议搭配 MiaoKa_realityCheckpoint模型来使用This model is based on MiaoKa_reality training. It is recommended to use it with MiaoKa_realityCheckpoint model------------------------------------------------------------------------------------------推荐的参数（Recommended parameters）:采样方法（Sampler:）:Euler a: 20~30步。DPM++ SDE Karras:20~30步。DPM++ 2M SDE Karras20~40步。提示词引导系数(CFG Scale):7人像人物分辨率（Character resolution）：512x768, 768x768，512x1024背景图风景图分辨率（Background and landscape resolution）: 768x512, 1024x512, 1536x512高清修复（Hires.fix）：放大算法:R-ESRGAN 4x+Anime6b 4x-UltraSharp，高分迭代步数：10~15重绘幅度：0.3~ 0.5Clip Skip:2。负面（Negatives):推荐用嵌入式embeddings模型中的 EasyNegative,或组合 (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), 一起使用------------------------------------------------------------------------------------------<ul><li>模型反馈请站内私信</li></ul>图像源和训练代码来自互联网，模型仅用于科研兴趣交流。如有侵权，请联系删除，谢谢。The image source and training code are from the Internet, and the model is only used for scientific interest exchange. If there is infringement, please contact to delete, thank you.

Anime Girl(画风转换模型Painting style transformation model)

MIAOKA_Anime Girl.safetensors

MIAOKA_Anime Girl

Anime Girl (Art Style Transformation Model)

Welcome to use the MIAOKA_Anime Girl model. This model is a character model in the style of class two-dimensional and the MiaoKa_reality style transformation model.
Welcome to use the miaoka_anime girl model which is a secondary model of the class and the transformation of the miaoka_reality model
 
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This model is intended to be a fine-tuning model to fit the MiaoKa_reality Checkpoint model.
This model can make MiaoKa_reality change the painting style to the two-dimensional painting style.
Of course, this fine-tuning model can be used alone with other Checkpoint models.
This model is intended to be a fine-tuning model to fit the MiaoKa_reality Checkpoint model.
This model can make MiaoKa_reality change the painting style to the two-dimensional painting style.
Of course, this fine-tuning model can be used alone with other Checkpoint models.
Painting Style Change Method:
If you need to change the painting style into the two-dimensional style when using the MiaoKa_reality Checkpoint model, select A model to add:&lt;lora:MIAOKA_Anime Girl:1&gt; + B model: for example:&lt;lora:MIAOKA_Meidusha_v1.0:1&gt; to transform the painting style into the two-dimensional style.
If you need to change the painting style into quadratic painting style when using MiaoKa_reality Checkpoint model, you need to add model A: &lt;lora:MIAOKA_Anime Girl:1&gt; + B model: for example:&lt;lora:MIAOKA_Meidusha_v1.0:1&gt; The painting style can be transformed into a secondary painting style
<img src="https://liblibai-online.liblib.cloud/web/1ba17e64a1af8085acac30618013f5885f57802b53b8c265e3bec271cb03d0dc.JPG?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="web/1ba17e64a1af8085acac30618013f5885f57802b53b8c265e3bec271cb03d0dc.JPG" data-href="https://liblibai-online.liblib.cloud/web/1ba17e64a1af8085acac30618013f5885f57802b53b8c265e3bec271cb03d0dc.JPG?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style="width: 50%;"/>
 &nbsp; &nbsp; &nbsp; Before Style Transformation⬆ &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; After Style Transformation⬆
Usage Recommendations
This model is based on MiaoKa_reality training. It is recommended to use it with MiaoKa_realityCheckpoint model.
This model is based on MiaoKa_reality training. It is recommended to use it with MiaoKa_realityCheckpoint model.
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Recommended Parameters:
Sampling Method (Sampler)::
Euler a: 20~30 steps.
DPM++ SDE Karras: 20~30 steps.
DPM++ 2M SDE Karras: 20~40 steps.
Prompt Word Guidance Coefficient (CFG Scale): 7
Character Resolution: 512x768, 768x768, 512x1024
Background and Landscape Resolution: 768x512, 1024x512, 1536x512
High-Resolution Restoration (Hires.fix):
Scaling Algorithm: R-ESRGAN 4x+Anime6b 4x-UltraSharp,
High-Score Iterations: 10~15,
Redraw Range: 0.3~ 0.5
Clip Skip: 2
Negatives: Recommended to use EasyNegative from the embedded embeddings model, or combination (worst quality, low quality: 1.4), monochrome, zombie, (interlocked fingers: 1.2) together.
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Model Feedback AI Technology Exchange QQ Group: 377209248
The image source and training code are from the Internet, and the model is only used for scientific interest exchange. If there is infringement, please contact to delete, thank you.
The image source and training code are from the Internet, and the model is only used for scientific interest exchange. If there is infringement, please contact to delete, thank you.

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