Please use original. SD1.5: https://tensor.art/models/600998819590570287

SDXL: https://tensor.art/models/701293083427463969

creator: Yuno779

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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 0.1125

Model 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 2010

NSFW：

These words help guide the results towards ***** content, but generally do not generate ***** 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 Explicit

quality：

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 name

Negative 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 | CFG7

2048 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 quality

Disclaimer:

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 unsafeimages.

许可证（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 adherencetoopen-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。

Anything-XL https://civitai.com/models/9409?modelVersionId=384264

= AnythingXL β 4 https://civitai.com/models/334739

↓ Description of AnythingXL β 4↓

概述：

AnythingXLbeta4是又一次在群友怂恿下的产物，其前提是SDXL模型的高度发展，训练的模型质量越来越高。展示图的负面提示词的emb名称仅仅是复制提示词的时候没有删掉，实际上并没有任何作用。beta4是因为融了第四个测试版本才搞出来我能看的下去的模型。模型融合死路一条，画风多样性和部分提示词的准确性一塌糊涂。另外有些人差不多得了，太阳不是鸡叫出来的，没有好的训练模型融个P。

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模型融合成分及配方（Formula）：

aingdiffusionXL_V0.6(0.144375)：
AingDiffusion XL - v0.6 | Stable Diffusion Checkpoint | Civitai
AingDiffusion XL - v0.6 | **********
animagineXLV3(0.144375):
Animagine XL V3 - v3.0 | Stable Diffusion Checkpoint | Civitai
cutecore_xl(0.12375)
CuteCore - XL | Stable Diffusion Checkpoint | Civitai
kohakuXLDelta_rev1(0.1375)
Kohaku-XL Delta - rev1 | Stable Diffusion Checkpoint | Civitai
KBlueLeaf/Kohaku-XL-Delta · Hugging Face
BAXLBArtstyleXLv2(0.3375)
BAXL (BArtstyleXL) | Blue Archive Flat Celluloid Style Fine-tuneonAnimagineXLV3|碧蓝档案赛璐璐平涂画风 - XLv2 | Stable Diffusion Checkpoint | Civitai
ponyV6(0.1125)
Pony Diffusion V6 XL - V6 (start with this one) | Stable DiffusionCheckpoint|Civitai

Model order only represents fusion order and has nothing to do withmodelquality

模型顺序仅代表融合顺序，与模型质量无关

模型融合使用Webui-Supermerge插件。根据FairAIPublicLicense1.0-SD需要公开融合配方，有本模型参与的的融合模型同样需要根据本协议公开融合配方。

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参数相关（Parameters+）：

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 thedesireddirection.

没有这些特殊的提示词，模型依旧是可以使用的，但是在必要的情况下，加入这些特殊标签将有助于将生成结果导向自己想要的方面

年份修改（years）:

old/mid/newest：
These words help guide the results towards modern and retro anime art styles, with a specific timeframe of approximately 2005to2023
这些词有助于将结果导向现代和复古动漫的艺术风格，具体时间约为2005~2023

评级修改（NSFW）：

nsfw(explicit)/sensitive/sensitive：
These words help guide the results towards ***** content, but generally do not generate ***** content if rating words arenotincluded.
些词有助于将结果导向成人内容，不加入评级词一般来说不会生成成人内容

质量词（quality）：

best/high/medium/normal/low/wprst quality：
While this model can function without quality words, in practice, these words can still be used to adjusttheoutput.
虽然本模型可以不使用质量词，但是实际使用的过程中，依旧可以使用这些词来调节

分辨率（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 tobecomedistorted.
你可以自由的使用绝大部分合理的分辨率，无论是SD1.5所使用的512*768分辨率，还是2048以上的大分辨率，都会有不同的效果。当然，图片过大或者过小都可能造成画面崩坏，或者角色/背景结构错乱。

Negative trigs can include common negative triggs, 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 tobeeffective.

负面提示词可以使用常见的负面提示词，但是最好不要对其中的内容使用过高的权重，例如(ugly:2.8)。因为融合的缘故，原本模型中部分并没有得到充分训练的标签会丢失，部分标签可能将权重增加到1.5以上才能够起效果。

Disclaimer: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 orunsafeimages.

免责声明：模型生成的所有图片均为用户自行生成，模型作者对此无法控制，对于可能涉及侵权或不安全的图片，模型作者将不承担任何责任。

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