下载模型之前,请仔细查看模型介绍
Please review the model introduction carefully before downloading the model
モデルをダウンロードする前に、モデル紹介をよく見てください
本系列模型及衍生模型,禁止上传LiblibAI或ShakkerAI
This series of models and their derivatives are prohibited from being uploaded to LiblibAI or ShakkerAI
このシリーズのモデルおよびその派生モデルは、LiblibAIまたはShakkerAIにアップロードすることは禁止されています
注意:
👇下面的Anything模型为冒用名称,并非本人制作,请不要进行付费
👇This Anything model is an unauthorized use of the name and was not created by me. Please do not make any payments.

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AI art should be looked like AI, not like humans.
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Anything-XL
AnythingXL β 4 is the AnythingXL here. If you download the previous model, there is no need to download it again.
AnythingXLbeta4 is another product encouraged by friends in the group. The premise is the highly developed SDXL model, with the quality of the trained model getting higher and higher. The negative hint word in the display graph's embedding name is only copied, and it actually has no effect. Beta4 was created because the model with the fourth test version was the only one I could tolerate looking at. Model fusion is a dead end, with a complete mess in terms of artistic style diversity and the accuracy of some prompt words.
Formula:
aingdiffusionXL_V0.6 x 0.144375
animagineXLV3 x 0.144375
cutecore_xl x 0.12375
kohakuXLDelta_rev1 x 0.1375
BAXLBArtstyleXLv2 x 0.3375
ponyV6 x 0.1125Model order only represents fusion order and has nothing to do with model quality
Model merge is implemented using the Webui-Supermerge plugin. According to FairAIPublicLicense1.0-SD, the recipe needs to be publicly disclosed, and any merged models that merged this model must also disclose the merge recipe in accordance with this license.
Parameters+:
Prompt words are different from SD1.5, and for best results, it is recommended to follow a structured prompt template:
<|special|>,
<|artist|>,
<|special(optional)|>,
<|characters name|>, <|copyrights|>,
<|quality|>, <|meta|>, <|rating|>,……
<|tags|>, special(optional):These prompt words only need to be typed once, put in the front, there is no need to put in the back
Special tags:
The model can still be used without these special cue words, but incorporating these special tags when necessary can help steer the generated results towards the desired direction.
years:
These words help guide the results towards modern and retro anime art styles, with a specific timeframe of approximately 2005 to 2023
newest 2021 to 2024
recent 2018 to 2020
mid 2015 to 2017
early 2011 to 2014
old 2005 to 2010NSFW:
These words help guide the results towards adult content, but generally do not generate adult content if rating words are not included.
Of course, you can also put it in negative prompts.
safe General
sensitive Sensitive
nsfw Questionable
explicit, nsfw Explicitquality:
While this model can function without quality words, in practice, these words can still be used to adjust the output.
masterpiece > 95%
best quality > ?
great quality > ?
good quality > ?
normal quality > ?
low quality > ?
worst quality ≤ 10%Resolution:
You are free to use the vast majority of reasonable resolutions, whether it is the resolution used by SD1.5 at 512*768 or higher resolutions above 2048, each will have a different effect. However, using images that are too large or too small may cause the picture to break down or the character/background structure to become distorted.
Tags:
If you want to generate high-quality pictures, you can use negative prompts, such as:
nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist nameNegative tags can include common negative tags, but it is best not to assign too high of a weight to their content, for example (ugly:2.8).
Because of models merge, some labels in the original model that have not been fully trained may be lost, and some labels may need to have a weight of over 1.5 in order to be effective.
Resolution:
A resolution greater than 1024×1024 is recommended, and hires fix is recommended if you want higher resolution or quality
Most of the generation parameters of the example graph are:
euler_a | 20steps | no hires fix | CFG72048 x 2048 not recommended
……
1280 x 2048
1280 x 1536
960 x 1536 Recommended
1024 x 1024 1:1 Square
……
960 x 640
768 x 512 SD1.5
……
2048 x 512 ¿ Unable to guarantee the quality
512 x 2048 ¿ Unable to guarantee the qualityDisclaimer:
All images generated by the model are created by the users themselves, and the model author cannot control the images generated by the users. The model author will not be held responsible for any potential copyright infringement or unsafe images.
License:
Anything now uses the Fair AI Public License 1.0-SD, compatible with Stable Diffusion models.All versions of the models in the Anything series are open source using this protocol. Key points:
Modification Sharing: If you modify Anything, you must share both your changes and the original license.
Source Code Accessibility: If your modified version is network-accessible, provide a way (like a download link) for others to get the source code. This applies to derived models too.
Distribution Terms: Any distribution must be under this license or another with similar rules.
Compliance: Non-compliance must be fixed within 30 days to avoid license termination, emphasizing transparency and adherence toopen-sourcevalues.
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您所看到的是单独给日本和中国AI玩家的备注:
①除非需要生成2048x2048以上的图或者遇到严重问题,否则请放弃高清修复。
②如果你感觉模型偏向某方面,请先检查提示词。一些提示词在之前使用的模型上可能无效,在这里可能有效。
③请不要用SD1.5的使用习惯来使用SDXL,因为两个模型本质上不同。如有必要,请使用简介中的质量词,而不是8k高清等。
④最好不要和NegativeXL一起使用,也不建议使用高权重的负面提示词,如(ugly:2)。
⑤想要一张好图片,请尽可能详细描述内容,而不要仅标注"1girl, nsfw",这样无法得到好的图片。
あなたが見ているのは、日本と中国のAIプレイヤーへの単独の備考です:
①2048x2048以上の画像を生成する必要があるか、深刻な問題が発生している場合を除き、高画質修復をやめてください。
②モデルが特定の側面に偏っている場合や他の問題がある場合は、ヒントワードを確認してください。一部のヒントワードは以前のモデルでは機能しないかもしれませんが、ここでは有効になる可能性があります。
③SD1.5の使用法ではなく、SDXLの使用法は異なるため、注意してください。必要な場合は、8kの高画質などではなく、以下に示す品質の言葉を使用してください。
④NegativeXLとの組み合わせは避けるべきであり、(ugly:2)のような大きなウェイトのネガティブなヒントワードの使用もおすすめしません。
⑤良い画像が必要な場合は、内容を可能な限り詳細に説明してください。単に「1girl, nsfw」というラベルを付けるだけでは良い画像が得られません。
Description
FAQ
Comments (49)
Can we have a safetensors version?
cuando la pagina del A V3.0 original se quedo sin el modelo, en https://huggingface.co/ alguien preservo el A V3.0 original, esa preservación esta en safetensors, buscala...
What's the most current official VAE that is available? Is there a V5 anything vae?
I have the V3, and the V4.5 (I think 4.5)... but I didn't know that 4 versions were not in line with the original anythings until recently.
你好,你說v3是用很多模型混的,那請問是哪些模型呢?
说得好,醍醐灌顶。想了想,画风再好,画不出想要的,早晚没有热情维持,tag才是关键,否则又何必玩AI呢,不就是为了实现自己心里的一些想象吗
按照作者的说法,V5的TAG忠诚度更高的话,那么V5的上限就取决于使用者的想象力上限和英语水平哪个更低。我觉得喜欢用简单tag的问题抛开省事偷懒以及没有内心的印象之外,恐怕最大的限制还是使用者在遣词造句方面的困难,比如我,很多东西用英语不知道该怎么表达!
活用ChatGPT!或是任何可以翻譯的網站,我英文也不好,但市面上最不缺的就是翻譯,到處都可以找的到翻譯,缺點就是翻譯有時還是無法精準翻譯出我要的,要多試幾個單詞
能合一个inpainting模型吗
有沒有適合Av5的手部LORA,感覺Av5手好容易崩
我的建议的局部重绘
@99999779 局部重绘我只找到anything v3的inpainting,有没有v5的inpainting?
@99999779 还想请教一下 局部重绘的prompt,能不能给一下手部的prompt参考?
老哥,感谢你为开源社区做出的贡献!
能请教你用了多少的图片训练的吗,还有训了多少epoch呢,弱想学习一些经验~
说的没错,利用tag让画面元素更加可控才是能长远使用的标准,能让模型的适用范围更广而不是仅仅只能靠随机抽卡来得到大部分的效果
近期高強度的玩stable diffusion,完全同意你說的話,現在市面上的九成模型,根本沒辦法用tag去控制,模型訓練用的圖片太少,能識別的單詞幾乎只有girl
1girl,2girls,哈哈哈哈
另外請教一下mmk-e是哪個模型?
想必xxxMix就是chilloutmix了 lol,這段時間用下來,也發現chilloutmix根本啥tag都無法識別,除了畫女生外什麼都無法做
作者你账户是不是被黑了怎么在简介里把自己的V3踩得那么狠……
但是说的都属实。anything3炼过头了,吞tag非常严重,虽然只要输入1girl就能开始美少女抽卡。但是下限上去了上限也下来了。
因为确实垃圾
这就是事实
could someone explain to me what's the differences between the RE, Pre-RT and some other version?
and who made the v4.0 and v4.5 btw if it's not the original v3 author?
RE指修复版,Pre只是个模型名。V4和4.5非常垃,不建议使用
@Yuno779 does all of your models (v2, v3, v5) require a VAE or already baked in?
@Shiro39 RE版本都内置了VAE
The guy who hosted av3 on hugging face wasn't the original author. just uploaded it there. He got bitter that someone elses model on his account was more popular than anything he was creating, so he released a merge of anything v3, a very poorly made merge imo, as anything v4 so he could take all the credit and troll the community. There are chatlog screenshots of the author and their friends coming up with the name and their motivations for using it.
AV4 doesn't improve the model at all. It's basically a lower quality version of orange mix, since it takes the nsfw version of orange mix and mixes it back with anything v3. 4 and 4.5 are just the laziest possible merge work and it's only purpose is to steal credit for other people's work.
@FlowwolF I liked the v4.5's style tbh
OrangeMix, refers to AOM right?
to get the same/similar styleas the v4.5, which OrangeMix should I use?
@Yuno779 any idea how to fix "Exception: Error while deserializing header: HeaderTooSmall"? using v5 PrtRe
沒做過模型 好奇 一些動漫角色LORA的頸部/手臂衣物飾品 大腿褲襪/褲帶 都沒辦法用negative prompt 有效的去除 是不是訓練模型無法識別的問題? 不知道您對此的看法
过度拟合了
What is version 2.1? Is it an upgraded version that was before v3? Or is it v5.1? Or what is it?
Earlier than 3, but considered the best version of anything
what vae should i use for V5 prt-RE
作者你好,想請問下v3跟v5哪個更適合做為融合使用?
都不适合,拿融合的模型再去融合,本身就没有什么意义()
You better not take it for fusion, if you don't want your model to be in trouble



