这是一个致力于实现写实现代亚洲女性胶片摄影的XL大模型，除此之外没有微调其他内容（NSFW没有训练），目前没有融合任何其他模型，也请不要私自融合该模型。
If you like my model, you are welcome to buy me a cup of coffee or come to afdian to support me. You are also welcome to return more pictures and comments, which is really important to me!
This is a XL model dedicated to realistic modern Asian female film photography, except for no fine-tuning (NSFW has no training), no integration of any other models, and please do not fuse this model privately.
At the same time, I have also benefited a lot from the group of leosam. Thank you verymuch.
使用说明：
2.1.2：
现在大部分采样方法在大部分场景下不再产生过度的噪点，所以refiner不再是必须，After Detailer也可以正常使用。其余部分依然同下。
DPM++ 2MKarras、Euler、Restart表现相对更好。
Most sampling methods now no longer generate excessive noise in most scenarios, so refiners are no longer necessary, and After Detailer can also be used normally.
DPM++2M Karras, Euler, and Restart performed relatively better.The remaining parts are still the same asbelow.
2.1.0：
1：我进行了很多测试，目前最推荐的是使用euler和eulera采样器，最佳步数建议50，可以启用refiner，切换时机0.9。
其他采样器均会在部分场景上不同程度产生大量噪点，可以使用refiner降噪，这很有效。但是开启ADetailer后又会重新添加噪声，造成几乎不可用的情况。如果必须使用其他采样器，请不要开启修脸插件，直接高清修复，这也是我目前遇到的最大的问题。
2：CILP：2（使用1训练，测试开2无区别）
3：ADetailer仅在euler和eulera采样器时建议开启。
4：分辨率：896*1152（或者其他官方推荐的分辨率）
Instructions for use:
1: I have conducted many tests, and currently the most recommended ones are using Euler and Euler a samplers. The optimal number of steps is recommended to be 50, and the refiner can be enabled with a switching time of 0.9.
Other samplers will generate a large amount of noise to varying degrees in some scenes, and refiners can be used for noise reduction, which is very effective. However, when ADetailer is turned on, noise will be added again, resulting in almost unusable situations. If you have to use another sampler, please do not open the facelift plugin and fix it directly in high-definition. This is also the biggest problem I have encountered so far.
2: CILP: 2 (training with 1, no difference in testing with 2)
3: It is recommended to turn on ADetailer only when using Euler and Euler a samplers.
4: Resolution: 896 * 1152 (or other officially recommendedresolution)
提示词部分：
1：使用了新的打标模型，cilp modle：VIT-L-14/openai，captainmodel：bilp2-flan-t5-xl，所以当你不知道如何描述画面的时候，不妨尝试使用这两个模型反推提示词，会获得最佳的效果。
2：关于召唤词：我也做了测试，结论是对画面会有一定影响，但不多，但建议还是带上。
3：重点来了！我统计了所有的字幕文件，总结出了最有效的几个tag：ulzzang,naver fanpop,ffffound,streaming on twitch,character album cover,他们是除了召唤词出现频次最多的内容，你可以一次性全部加入作为起手，效果很好。
4：关于正面质量提示，我一般会使用这两个：<lora:DetailedEyes_xl_V2:1>,<lora:neg4all_bdsqlsz_xl_V7:1>,他们都来自@bdsqlsz，几乎没有污染。手部修复<lora:ClearHand-V2:1>，来自@frostyforest，对简单的手部关系处理的很好，复杂情况下确实是个难题。
5：负面提示词：(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch),greasyskin,
最后这是我的QQ交流群749047075密码：SDS，感兴趣的小伙伴可以加入探讨交流，如果有新的模型我也会第一时间进行内测。
Reminder section:
1: We have used a new marking model, cip model: VIT-L-14/openai, and capture model: bilp2 lan t5-xl. Therefore, when you don't know how to describe the image, you may want to try using these two models to infer prompt words, which will achieve the best results.
2: Regarding summoning words: I have also conducted a test and the conclusion is that it will have a certain impact on the screen, but not much, but it is recommended to still use them.
3: Here comes the key! I have compiled all the subtitle files and summarized the most effective ones: ulzzang, naver fanpop, ffffffound, streaming on tweet, character album cover. They are the content that appears the most frequently except for summoning words. You can add them all at once as a starting point, and the results are very good.
4: Regarding positive quality reminders, I usually use these two:<lora: DetailedEyes_ Xl_ V2:1>,<lora: neg4all_ Bdsqlsz_ Xl_ V7:1>, they all come from @ bdsqlsz and have almost no pollution. Hand repair<lora: ClearHand V2:1>, from @ frost forest, handles simple hand relationships well, and is indeed a challenge in complex situations.
5: Negative prompt words: (best quality, low quality, illustration, 3d, 2d, painting, cartons, sketch), great skin,
Finally, this is my QQ communication group 749047075, password: SDS. Interested friends can join the discussion and exchange. If there are new models, I will also conduct internal testing as soon aspossible.
采样器/步数 /Sampler/Steps:
召唤词 / trigger word