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T-ponynai3 - v5.1(weight optimized) _ Stable Diffusion Checkpoint _ Civitai.txt ADDED
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+ Updated: Jun 24, 2024
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+ base model <https://civitai.com/tag/base%20model>
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+ anime <https://civitai.com/tag/anime>nai <https://civitai.com/tag/
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+ nai>pony <https://civitai.com/tag/pony>nai3 <https://civitai.com/tag/nai3>
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+ Verified: a month ago
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+ Details
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+ Checkpoint Trained
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+ Overwhelmingly Positive <https://civitai.com/models/317902/reviews?
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+ Published
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+ May 28, 2024
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+ Base Model
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+ Pony
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+ <https://youtu.be/IIy3YwsXtTE?si=YiJDxMODCOTkUUM4&t=417>
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+ Verified: a month ago
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+ SafeTensor
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+ About this version
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+
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+ 对于v5版本的一些问题进行一些总结。
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+
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+ 1,lora兼容性和肢体以及模糊的眼睛问题。lora兼容性是我对于这次训练的最终
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+ 权重使用的有些过高了,某些情况下会出现过拟合。这个优化版本便是降低了相应
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+ 权重的版本,肢体的崩坏��以及对于一些lora的兼容应该会好一些,对此我跑了几
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+ 张使用基于v4.1训练的画风lora的对比图以供参考。眼睛模糊的问题应该是我训练
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+ 了style_1的原因,使用的原始素材的眼睛就是模糊的,可以通过使用style_3或4
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+ 来改善。
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+
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+ 2,体积光的曝光问题。我在测试的时候没有出现过这个问题,导致出现的原因应
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+ 该是我使用了noise offset的训练参数,使得这个模型对于光的相关提示词的敏感
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+ 度提升,导致原来一样权重的光的提示词导致的结果会更加明亮,我建议可以尝试
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+ 不使用括号和数字来提升权重,由于sdxl对于提示词的敏感度,可以试试重复多次
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+ 一样的提示词,这样不容易导致极端结果。同时,使用这个参数是为了修复少量提
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+ 示词下的生成结果发黄的问题,对此我跑了几张对比图,以供参考。
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+
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+ 3,模型的复杂度变低的问题。理论上以及实测来说。v5应该是比之前版本更加干
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+ 净的和多元的模型,在一些提示词的作用下应该能获得更加精准的表现力,同样的
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+ 我跑了几张对比图来做比较。这次的训练集并没有采用一些过分复杂的素材,因为
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+ 我觉得过分复杂的图像会使结果趋于过拟合,这一定导致了不少细节的缺失。
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+
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+ 目的: 我希望能够得到一个和之前版本有足够大差别的模型,而不是发布一个和
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+ 之前几乎一摸一样的模型。这次各位的反馈是很好的试错机会,只靠我自己确实没
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+ 有什么试错成本。在下个版本中我会尝试提高各个不同画风的素材量,使得不同素
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+ 材的画风能够很好的融合在一起,并且能够实现画风的分离,用特定的prompt来切
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+ 换画风,这或许需要一些新的训练技巧。感谢各位的反馈!
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+
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+ Summarize some issues regarding the v5 version.
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+
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+ 1, Lora compatibility and issues with limbs and blurred eyes. Lora
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+ compatibility is that I used too much final weight for this training,
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+ and in some cases, overfitting may occur. This optimized version is the
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+ one that reduces the corresponding weight, and the limb collapse rate
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+ and compatibility with some Loras should be better. I have run several
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+ comparison charts of Loras trained with v4.1 for reference. The problem
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+ of blurred eyes should be the reason why I trained style_1. The eyes in
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+ the original material used are blurry, and can be improved by using
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+ style_3 or 4.
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+
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+ 2. Exposure issues with volume light. I did not encounter this issue
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+ during testing, and the reason for it should be that I used the noise
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+ offset training parameter to increase the sensitivity of the model to
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+ light related prompt words, resulting in brighter results when the same
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+ weight of light prompt words were used. I suggest trying not to use
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+ parentheses and numbers to increase the weight. Due to the sensitivity
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+ of sdxl to prompt words, you can try repeating the same prompt words
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+ multiple times to avoid extreme results. At the same time, using this
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+ parameter is to fix the problem of generating yellow results under a
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+ small number of prompt words. I have run several comparison graphs for
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+ reference.
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+
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+ 3. The problem of reduced model complexity. In theory and in practice.
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+ V5 should be a cleaner and more diverse model than the previous version,
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+ and with the help of some prompts, it should be able to achieve more
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+ accurate performance. Similarly, I ran several comparison charts for
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+ comparison. This training set did not use overly complex materials
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+ because I believe that overly complex images tend to overfit the
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+ results, which inevitably leads to a certain degree of detail loss.
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+
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+ Purpose: I hope to obtain a model that is significantly different from
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+ the previous version, rather than releasing a model that is almost
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+ identical to the previous version. This feedback from everyone is a
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+ great opportunity for trial and error, and I really don't have any trial
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+ and error costs on my own. In the next version, I will try to increase
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+ the amount of materials for different art styles, so that the art styles
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+ of different materials can be well integrated and separated. Using
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+ specific prompts to switch art styles may require some new training
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+ techniques. Thank you for your feedback!
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+ 5
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+
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+ 0
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+
544
+ Remix
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+
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+ 00024-1363251395-score_9,score_8_up,score_7_up,1girl,.png
547
+ <https://civitai.com/images/13764693>
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+
549
+ 👍
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+ 26
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+
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+ ❤️
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+ 10
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+
555
+ 0
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+
557
+ Remix
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+
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+ 00022-1217328102-(score_9,score_8_up,score_7_up,),futa,white stockings,2
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+ ball in underwear,lift legs up,spread legs,Sit on the ground,feet above.png
561
+ <https://civitai.com/images/13764694>
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+ 👍
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+ 26
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+
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+ ❤️
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+ 20
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+
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+ 😂
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+ 7
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+
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+ 😢
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+ 2
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+
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+ 0
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+
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+ Remix
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+
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+ 00025-3201869035-score_9,score_8_up,score_7_up,1girl,.png
579
+ <https://civitai.com/images/13764697>
580
+
581
+ 👍
582
+ 17
583
+
584
+ ❤️
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+ 2
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+
587
+ 0
588
+
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+ Remix
590
+
591
+ 00021-1978158465-
592
+ (score_9,score_8_up,score_7_up,),1girl,solo,_lora_tpony-style-v2_0.8_,.png
593
+ <https://civitai.com/images/13764699>
594
+
595
+ 👍
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+ 15
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+
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+ ❤️
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+ 1
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+
601
+ 0
602
+
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+ Remix
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+
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+ 00041-1854552702-
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+ score_9,score_8_up,score_7_up,source_cartoon,source_anime,source_furry,expressiveh,amy rose,by sonic team,red dress,white gloves.png
607
+ <https://civitai.com/images/13767712>
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+
609
+ 👍
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+ 17
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+
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+ ❤️
613
+ 7
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+
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+ 0
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+
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+ Remix
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+
619
+ 00011-3453820399-(score_9,score_8_up,score_7_up),fu xuan _(honkai_ star
620
+ rail_), [artist_ningen mame], {{ciloranko}}, [artist_sho {sho lwlw}],
621
+ [[a.png
622
+ <https://civitai.com/images/13918191>
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+
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+ 👍
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+ 15
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+
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+ ❤️
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+ 9
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+
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+ 😂
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+ 2
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+
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+ 0
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+
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+ Remix
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+
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+ 00001-76413905-score_9,score_8_up,score_7_up,1girl,cyberpunk,lucy
638
+ _(cyberpunk_),.png
639
+ <https://civitai.com/images/14292926>
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+
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+ 👍
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+ 19
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+
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+ ❤️
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+ 8
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+
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+ 0
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+
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+ Remix
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+
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+ 00002-69154965-score_9,score_8_up,score_7_up,1girl,cyberpunk,lucy
652
+ _(cyberpunk_),.png
653
+ <https://civitai.com/images/14293169>
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+
655
+ 👍
656
+ 15
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+
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+ ❤️
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+ 5
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+
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+ 0
662
+
663
+
664
+ */模型已经内置vae了,不需要额外添加vae/*
665
+
666
+
667
+ */The model already has included vae, there is no need to add
668
+ additional vae/*
669
+
670
+
671
+ */最佳的出图策略是适中的分辨率开高清修复,而不是直接使用大分辨率直出/*
672
+
673
+
674
+ */The best generate strategy is to use high-fix at a moderate
675
+ resolution, rather than directly using high-resolution direct output/*
676
+
677
+
678
+ [未认证]Tonade正在创作T-ponynai3模型作者,c站id:Tonade, | 爱发电
679
+ ( <https://afdian.net/a/Tonade>afdian.net <http://afdian.net/>)
680
+ <https://afdian.net/a/Tonade>
681
+
682
+
683
+ 这里是爱发电的赞助通道,觉得模型好用且有余力的话可以支持一下!万不
684
+ 要勉强,感谢你们的每一份支持,会继续探索怎么把模型练好的!
685
+
686
+
687
+ (33) T-ponynai3-v5 - (权重修改版本) | Stable Diffusion
688
+ Checkpoint | 吐司 <https://tusiart.com/
689
+ models/732586820736433698>tusi.cn <http://tusi.cn/>( <https://
690
+ tusiart.com/models/732586820736433698>tusiart.com) tusiart(china
691
+ version tensor) online generate link
692
+
693
+
694
+ (Because the model can only exist on both Tusi and Tensor
695
+ simultaneously, it is better to use it in Tusi. If there are any
696
+ issues with its use, please point them out more to me)
697
+
698
+
699
+ v5版本新加了4个style,可以通过style_1到style_4来微调画面细节(理论上
700
+ 是这样的,实际效果比较玄学)
701
+
702
+
703
+ V5 versionhas added 4 new styles, which can be used to fine tune the
704
+ details of the image through style_1 to style_4 (theoretically, this
705
+ is the case, but the actual effect is more mystical or lower)
706
+
707
+ 本模型完美支持由ponyv6为底模训练的模型,ani3,sdxl1.0的lora也能在某种程
708
+ 度上适配
709
+
710
+ This model perfectly supports lora trained with ponyv6 as the base
711
+ model, and the Lora of ani3 and sdxl1.0 can also be adapted to some extent.
712
+
713
+ 基于v4.1的图生图测试(这是在之前版本里被忽略的部分)
714
+
715
+ Image inpaint testing based on v4.1 (this is a previously overlooked part)
716
+
717
+
718
+ pony是神,兼容性满分。本模型支持ani,pony的lora
719
+
720
+ 必备前置效果词和ponydiffusion一样
721
+
722
+ *_positive_*_:_*(score_9,score_8_up,score_7_up,score_6_up,score_5_up,score_4_up)*
723
+
724
+ OR (score_9,score_8_up,score_7_up)
725
+
726
+ *负面可加:*
727
+
728
+ *_negative_:(score_4,score_3,score_2,score_1),*
729
+
730
+ *也可以加正常的nai系负面词,例如:*
731
+
732
+ *_negative_: worst quality, bad hands, bad feet*
733
+
734
+
735
+ hope u like it ᕕ(◠ڼ◠)ᕗbase on nai3 and ponyv6
736
+
737
+
738
+ *训练须知:v1*使用了94张,v2用了119张,v3用了348张,v3.5用了474
739
+ 张,nai3生成的图片,训练的lora融进底模进行微调,pony支持的画师tag都
740
+ 支持,使用两个以上的画师tag可能会导致背景崩溃,目前发现能生成原神
741
+ 的角色,其他的不知道了,对于这个模型我测试的也不多,惊叹于其对于
742
+ nai3的画风复刻中。底模是T-anime-xl和ponyv6以及ani3的融合模型,并未
743
+ 发布。
744
+
745
+ 使用的训练显卡是我自己的3090显卡,v1到v3分别使用了7小时,12小时,35小
746
+ 时,47小时
747
+
748
+
749
+ Training Instructions:Merge Lora used 94 pictures for v1, 119
750
+ pics for v2, 348 pics for v3, 474 pics for v3.5,which generated by
751
+ NAI3 to train into the basemodel for fine-tuning,Pony supports all
752
+ artist tags which ponyv6 already have, but there is no any
753
+ addition artist tag from nai3. Using more than two artist tags may
754
+ cause background crashes,At present, it has been found that
755
+ characters that can generate Genshin Impact.I don't know the
756
+ others.I haven't tested much for this model.,Marvel at its
757
+ reproduction of the painting style of NAI3.The base model is a
758
+ fusion model of T-anime-xl and ponyv6 and animage3, which has not
759
+ been released
760
+
761
+ The training graphics card I used was my own 3090 graphics card, which
762
+ was used for 7 hours, 12 hours, and 35 hours and 47 hours from v1 to
763
+ v3.5, respectively.
764
+
765
+
766
+ v1
767
+
768
+ 一次有趣的尝试
769
+
770
+ An interesting attempt
771
+
772
+
773
+ v2
774
+
775
+ 在v1的基础上略微增加了训练集,并经历了30小时左右的参数试错,但是训练出来
776
+ 的画风仍然具有一些过拟合,例如双重肚脐眼以及杂乱的头发
777
+
778
+ On the basis of v1, the training set was slightly increased and went
779
+ through about 30 hours of trial and error, but the trained art style
780
+ still had some overfitting, such as double navel eyes and messy hair
781
+
782
+
783
+ v3
784
+
785
+ v3的肢体会比v2的更好,对于footfocus的理解v3可以生成视觉冲击更大的脚,也
786
+ 更高难度的透视视角,v3的头发的ai感也比v2要弱,因为v2的训练集太少了,所以
787
+ 头发部分会有些过拟合,而且v2偶尔会出现的双肚脐眼也没了。总体来说三倍于v2
788
+ 训练集的大小以及更大的dim参数使得画风拟合的更加自然,而且在长prompt下的
789
+ 表现力远远强于v2。
790
+
791
+ The limbs of v3 are better than those of v2. In terms of understanding
792
+ footfocus, v3 can generate feet with greater visual impact and higher
793
+ difficulty perspective. The AI feeling of v3's hair is also weaker than
794
+ that of v2, because v2 has too little training set, so the hair part may
795
+ be slightly overfitting, and the occasional double navel eyes that
796
+ appear in v2 are also gone. Overall, three times the size of the v2
797
+ training set and a larger dim parameter make the art style fit more
798
+ natural, and the performance is much stronger than v2 under long prompts.
799
+
800
+
801
+ v3.5
802
+
803
+ *_在这个版本中,对于质量词的要求并不那么严谨,可以完全不用pony的美学评分
804
+ 的质量词去出图,在测试中偶尔会出现图片生成无意义的色块的情况,只需要将美
805
+ 学评分的质量词换成1.5常用的质量词就行,例如score_1,score_2换成worst
806
+ quality。_*这个版本我多加入了150张左右的训练集来平衡以及充实画风,并且减
807
+ 少了学习曲线的初始斜率,这让这个模型没有那么过拟合,可以适配更多的lora以
808
+ 及奇思妙想的提示词。总体来说,这个版本是相较v3版本更加自由的一个版本,并
809
+ 且这个版本对于男性的刻画要远强于v3,在某些提示词下的色彩以及画风没有那么
810
+ 过分鲜艳以及油腻。
811
+
812
+ *_In this version, the requirements for quality words are not so strict,
813
+ you can completely not to use the quality words of pony's aesthetic
814
+ score to plot the picture, and occasionally there will be a situation
815
+ where the picture generates meaningless color blocks in the test, you
816
+ only need to replace the quality words of the aesthetic score with 1.5
817
+ commonly used quality words, such as score_1, score_2 replace it with
818
+ worst quality._//*In this version, I added about 150 more training sets
819
+ to balance and enrich the art style, and reduced the initial slope of
820
+ the learning curve, which makes this model less overfitted and can be
821
+ adapted to more lora and whimsical prompts. Overall, this version is a
822
+ freer version than the v3 version, and this version is much stronger
823
+ than the v3 version, and the colors and style of painting under some
824
+ hints are not so bright and greasy.
825
+
826
+
827
+ v4
828
+
829
+ 这个版本使用了798张图片作为训练素材,并使用3090显卡训练了90个小时。这个
830
+ 版���相较于v3.5在某些prompt下的构图以及对于某些部位的刻画更加正确,比如手
831
+ 指部分的重影以及一些身体部位的重叠。在prompt方面,我还是以中等长度以及稍
832
+ 短长度的prompt作为主要的训练目标,毕竟谁都不喜欢写一长串的prompt才能生成
833
+ 质量好的图是吧?在去掉pony的美学得分的质量prompt后,图像的质量相比v3.5有
834
+ 很高的提升,出图的质量会偏向于更加平面而非立体的画面,更加接近于经典的动
835
+ 漫画风。对于图片数量对于ponyv6的微调效果的测试接近尾声,下一步就是从
836
+ prompt的训练标签入手,尝试在pony有限的单次训练素材数量里面添加更多可调控
837
+ 的prompt(例如将美学评分加入进去,现在的训练逻辑还是用主流的质量词去覆盖
838
+ 掉pony的美学得分质量词),并且会持续增添合适的新训练素材,例如场景的训练
839
+ 素材以及更多的足部训练素材(v4的足部训练素材似乎有点少了)。
840
+
841
+ This version used 798 images as training materials and trained for 90
842
+ hours using a 3090 graphics card. This version has a more accurate
843
+ composition and depiction of certain parts in certain prompts compared
844
+ to v3.5, such as ghosting of fingers and overlapping of some body parts.
845
+ In terms of prompts, my main training goal is to use medium and slightly
846
+ shorter prompts, as nobody likes to write a long string of prompts to
847
+ generate high-quality images, right? After removing the quality prompt
848
+ of Pony's aesthetic score, the image quality has been significantly
849
+ improved compared to v3.5, and the resulting quality tends to be more
850
+ flat rather than three-dimensional, closer to the classic anime style.
851
+ The testing of the fine-tuning effect of Ponyv6 on the number of images
852
+ is nearing completion. The next step is to start with the training
853
+ labels of prompts and try to add more adjustable prompts to Pony's
854
+ limited number of single training materials (such as adding aesthetic
855
+ scores, the current training logic still uses mainstream quality words
856
+ to cover Pony's aesthetic score quality words), and continue to add
857
+ suitable new training materials, such as scene training materials and
858
+ more foot training materials (v4's foot training materials seem to be a
859
+ bit scarce).
860
+
861
+
862
+ v4.1
863
+
864
+ 向各位用户道歉在这么短时间内又出了个新版本,这十分考验电脑的内存以及网络
865
+ 速度。O_O
866
+
867
+ Firstly, I would like to apologize to all users for the release of a new
868
+ version in such a short period of time, which greatly tests the
869
+ computer's memory and network speed. O_O
870
+
871
+ 这个新版本是基于v4的肢体调试版本,由于v4的肢体效果实在有些难以控制,手部
872
+ 的完美率在经过测试也没有达到我这几天的测试预期。所以我和我的朋友木猫猫猫
873
+ 对v4进行了一些调整以及改善,最终使得v4.1的肢体达到了我的预期,我将会放出
874
+ 几个xy图来清晰的展现v4.1在相同参数下生成图片对比v4的改善程度。
875
+
876
+ This new version is based on the limb debugging version of v4. Due to
877
+ the difficulty in controlling the limb effects of v4, the perfection
878
+ rate of the hands did not meet my testing expectations in the past few
879
+ days. So my friend 木猫猫猫 and I made some adjustments and improvements
880
+ to v4, which ultimately made the limbs of v4.1 meet my expectations. I
881
+ will release several xy graphs to clearly show the improvement of v4.1
882
+ compared to v4 under the same parameters.
883
+
884
+
885
+ v5
886
+
887
+ 这个版本训练素材减少了,由于v4的失利,所以我开展了另一个项目,以来从一个
888
+ 小的显存占用的角度来测试我的想法,就是训练了四个不同画风的适配于T-
889
+ ponynai3的画风lora,当然原始模型也上传了civitai。在测试完适配性后,我便
890
+ 开始将这四组不同的画风作为添加剂训练进T-ponynai3-v5。令人惊讶的是,v5的
891
+ 线条质感好了一个大档次,应该是我训练了一个很细腻的素材的缘故,对于这四个
892
+ 画风的打标,我使用了style_1到style_4的提示词,遗憾的是,不知为何,这四个
893
+ 画风并没有各自分开,或者是效果微弱,反而很好的融合进了原始画风。尽管没有
894
+ 达到支持多个画风的目的,但是很好的将原始的nai3画风的质感提升了一个档次,
895
+ 或许下个版本可以尝试更进一步。(我很喜欢打游戏,每次训练的时候不能玩电脑
896
+ 游戏对我来说太难了)
897
+
898
+ The training materials for this version have been reduced. Due to the
899
+ failure of v4, I launched another project to test my idea from a small
900
+ perspective of memory usage, which is to train four different art styles
901
+ of Lora adapted to T-ponynai3. Of course, the original model was also
902
+ uploaded to Civitai. After testing the adaptability, I started training
903
+ these four different art styles as additives into T-ponynai3-v5.
904
+ Surprisingly, The line texture of v5 has improved to a high level,
905
+ probably because I trained a very delicate material. For the marking of
906
+ these four art styles, I used the prompt words from style_1 to style_4.
907
+ Unfortunately, for some reason, these four art styles were not separated
908
+ or the effect was weak, but rather integrated well into the original art
909
+ style. Although it did not achieve the goal of supporting multiple art
910
+ styles, it effectively elevated the texture of the original Nai3 art
911
+ style to a higher level. Perhaps the next version can try to take it
912
+ even further. (I really enjoy playing games, and it's too difficult for
913
+ me to play computer games every time I train.)
914
+
915
+ 对于v5版本的一些问题进行一些总结。
916
+
917
+ 1,lora兼容性和肢体以及模糊的眼睛问题。lora兼容性是我对于这次训练的最终
918
+ 权重使用的有些过高了,某些情况下会出现过拟合。这个优化版本便是降低了相应
919
+ 权重的版本,肢体的崩坏率以及对于一些lora的兼容应该会好一些,对此我跑了几
920
+ 张使用基于v4.1训练的画风lora的对比图以供参考。眼睛模糊的问题应该是我训练
921
+ 了style_1的原因,使用的原始素材的眼睛就是模糊的,可以通过使用style_3或4
922
+ 来改善。
923
+
924
+ 2,体积光的曝光问题。我在测试的时候没有出现过这个问题,导致出现的原因应
925
+ 该是我使用了noise offset的训练参数,使得这个模型对于光的相关提示词的敏感
926
+ 度提升,导致原来一样权重的光的提示词导致的结果会更加明亮,我建议可以尝试
927
+ 不使用括号和数字来提升权重,由于sdxl对于提示词的敏感度,可以试试重复多次
928
+ 一样的提示词,这样不容易导致极端结果。同时,使用这个参数是为了修复少量提
929
+ 示词下的生成结果发黄的问题,对此我跑了几张对比图,以供参考。
930
+
931
+ 3,模型的复杂度变低的问题。理论上以及实测来说。v5应该是比之前版本更加干
932
+ 净的和多元的模型,在一些提示词的作用下应该能获得更加精准的表现力,同样的
933
+ 我跑了几张对比图来做比较。这次的训练集并没有采用一些过分复杂的素材,因为
934
+ 我觉得过分复杂的图像会使结果趋于过拟合,这一定导致了不少细节的缺失。
935
+
936
+ 目的: 我希望能够得到一个和之前版本有足够大差别的模型,而不是发布一个和
937
+ 之前几乎一摸一样的模型。这次各位的反馈是很好的试错机会,只靠我自己确实没
938
+ 有什么试错成本。在下个版本中我会尝试提高各个不同画风的素材量,使得不同素
939
+ 材的画风能够很好的融合在一起,并且能够实现画风的分离,用特定的prompt来切
940
+ 换画风,这或许需要一些新的训练技巧。感谢各位的反馈!
941
+
942
+ Summarize some issues regarding the v5 version.
943
+
944
+ 1, Lora compatibility and issues with limbs and blurred eyes. Lora
945
+ compatibility is that I used too much final weight for this training,
946
+ and in some cases, overfitting may occur. This optimized version is the
947
+ one that reduces the corresponding weight, and the limb collapse rate
948
+ and compatibility with some Loras should be better. I have run several
949
+ comparison charts of Loras trained with v4.1 for reference. The problem
950
+ of blurred eyes should be the reason why I trained style_1. The eyes in
951
+ the original material used are blurry, and can be improved by using
952
+ style_3 or 4.
953
+
954
+ 2. Exposure issues with volume light. I did not encounter this issue
955
+ during testing, and the reason for it should be that I used the noise
956
+ offset training parameter to increase the sensitivity of the model to
957
+ light related prompt words, resulting in brighter results when the same
958
+ weight of light prompt words were used. I suggest trying not to use
959
+ parentheses and numbers to increase the weight. Due to the sensitivity
960
+ of sdxl to prompt words, you can try repeating the same prompt words
961
+ multiple times to avoid extreme results. At the same time, using this
962
+ parameter is to fix the problem of generating yellow results under a
963
+ small number of prompt words. I have run several comparison graphs for
964
+ reference.
965
+
966
+ 3. The problem of reduced model complexity. In theory and in practice.
967
+ V5 should be a cleaner and more diverse model than the previous version,
968
+ and with the help of some prompts, it should be able to achieve more
969
+ accurate performance. Similarly, I ran several comparison charts for
970
+ comparison. This training set did not use overly complex materials
971
+ because I believe that overly complex images tend to overfit the
972
+ results, which inevitably leads to a certain degree of detail loss.
973
+
974
+ Purpose: I hope to obtain a model that is significantly different from
975
+ the previous version, rather than releasing a model that is almost
976
+ identical to the previous version. This feedback from everyone is a
977
+ great opportunity for trial and error, and I really don't have any trial
978
+ and error costs on my own. In the next version, I will try to increase
979
+ the amount of materials for different art styles, so that the art styles
980
+ of different materials can be well integrated and separated. Using
981
+ specific prompts to switch art styles may require some new training
982
+ techniques. Thank you for your feedback!
983
+
984
+ Hide
985
+
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+
987
+ Suggested Resources
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+ Checkpoint
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+
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+ ponydiffwall2.png
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+ PurpleSmartAI's Avatar
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+ Pony Diffusion V6 XL
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+
1003
+ LoRA
1004
+
1005
+ 00026-2919229892.png
1006
+
1007
+ Chenkin's Avatar
1008
+ All Characters in Arknights 明日方舟全角色
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1010
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+ 21 hours ago
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+ Thank you for your job!
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+ <https://civitai.com/user/A9616777>
1039
+ a day ago
1040
+
1041
+ 这次5.5是有啥更新吗?
1042
+
1043
+ 👍
1044
+ 1
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+
1046
+ 2
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+
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+ Zoropaton's Avatar
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+ Zoropaton
1051
+ <https://civitai.com/user/Zoropaton>
1052
+ 2 days ago
1053
+
1054
+ I'm not sure but v4.1 style is better from other versions 🤷‍♂️ that what
1055
+ I see
1056
+
1057
+ 👍
1058
+ 1
1059
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1060
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+ <https://civitai.com/user/sanzhu>
1064
+ sanzhu
1065
+ <https://civitai.com/user/sanzhu>
1066
+ 3 days ago
1067
+
1068
+ 我在nai3尝试还原这个画风,能请问一下画师tag吗谢谢
1069
+
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+ FishEyeG
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+ <https://civitai.com/user/FishEyeG>
1079
+ 19 hours ago
1080
+
1081
+ 5.5更新了什么?~看到有一张dark暗图,暗光可太棒了!
1082
+
1083
+ 👍
1084
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+ neeltheninja's Avatar
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+ Bronze Tools Badge
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+ <https://civitai.com/user/neeltheninja>
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+ 20 hours ago
1094
+
1095
+ Truly one of the best pony fine tunes out there.
1096
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1097
+ 👍
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+ <https://civitai.com/user/LetTheBassDrop>
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+ LetTheBassDrop
1105
+ <https://civitai.com/user/LetTheBassDrop>
1106
+ 11 hours ago
1107
+
1108
+ Aww yah! New release! (happy dance)
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+
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+ 😂
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+ 2125152512551's Avatar
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+ 2125152512551
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+ <https://civitai.com/user/2125152512551>
1119
+ 12 hours ago
1120
+
1121
+ 有时画面会特别黑,黑到看不清楚细节
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+ T-ponynai3 - v5.1(weight optimized) | Stable Diffusion Checkpoint | Civitai
1190
+
tPonynai3_v51WeightOptimized.safetensors ADDED
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+ oid sha256:ac17f32d24e526a0503e149667ae52d470723c0ea5716466c149aebe31611606
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+ size 6938041618