Directly_RealMIX-COS

这是一个写实模型

不需要添加写实tag即可获得很好的效果。

对于大部分PONY、IL模型可以兼容。

还原程度取决于Lora的拟合程度。

采样器：Euler-A；

步数：30；

CFG：6-7；

正面提示词：masterpiece,best quality,amazing quality,

负面提示词：bad quality,worst quality,worst detail,

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免责声明（Disclaimer）

本模型由个人训练与调试，仅供学习与研究使用。作者不对使用本模型生成的任何内容负责，包括但不限于内容合法性、准确性、道德性及任何直接或间接后果。使用者应遵守当地法律法规及平台政策，并对其生成内容承担全部责任。严禁将本模型用于任何非法、欺诈、诽谤、侵权或有害用途。

使用注意事项（Usage Notes）

1. 本模型为生成式AI模型，输出内容具有随机性与不可控性，可能包含不准确、冒犯性或不宜公开的内容，请在后续使用中自行审查与过滤。

2. 建议在使用前了解Stable Diffusion等相关生成技术的基本操作与伦理规范。

3. 请勿将生成内容直接用于商业、医疗、法律、新闻等严肃场景，亦不建议完全替代人工创作。

4. 若出现生成内容不符合预期，可调整提示词、采样参数或配合LoRA等微调工具进一步优化。

5. 作者保留对模型说明的更新与解释权。

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This is a realistic checkpoint.

You don't need to add any realistic tags to achieve good results.

Most PONY and IL models are compatible.

The degree of restoration depends on Lora's degree of fitting.

Sampler：Euler-A;

Steps：30;

CFG：6-7;

Positive tag: masterpiece,best quality,amazing quality,

Negative tag: bad quality,worst quality,worst detail,

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Disclaimer

This model is individually trained and tuned for learning and research purposes only. The author is not responsible for any content generated using this model, including but not limited to its legality, accuracy, morality, and any direct or indirect consequences. Users must comply with local laws, regulations, and platform policies, and shall bear full responsibility for the content they generate. Any use of this model for illegal, fraudulent, defamatory, infringing, or harmful purposes is strictly prohibited.

Usage Notes

1. This is a generative AI model. Outputs are random and uncontrollable, and may contain inaccuracies, offensive material, or unsuitable content. Users should review and filter generated content accordingly.

2. It is recommended to understand the basic operations and ethical guidelines of Stable Diffusion and related generative technologies before use.

3. Do not use generated content directly in commercial, medical, legal, journalistic, or other serious contexts. It is not recommended to fully replace human creation.

4. If outputs do not meet expectations, try adjusting prompts, sampling parameters, or fine-tuning with tools such as LoRA.

5. The author reserves the right to update and interpret the model description.