Formula:
aingdiffusionXL_V0.6(0.144375)：
AingDiffusion XL - v0.6 | Stable Diffusion Checkpoint | Civitai
animagineXLV3(0.144375):
Animagine XL V3 - v3.0 | Stable Diffusion Checkpoint | Civitai
cutecore_xl(0.12375)
kohakuXLDelta_rev1(0.1375)
Kohaku-XL Delta - rev1 | Stable Diffusion Checkpoint | Civitai
BAXLBArtstyleXLv2(0.3375)
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 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:
style/artists/……, 1girl/1boy/1other/……, character name，special tags, another tags
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:
old/mid/newest：
These words help guide the results towards modern and retro anime art styles, with a specific timeframe of approximately 2005 to 2023
NSFW：
nsfw(explicit)/sensitive/sensitive：
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.
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 adjust the output.
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
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 unsafe images.
License:
AnythingXL now uses the Fair AI Public License 1.0-SD, compatible with Stable Diffusion models. Key points:
Modification Sharing: If you modify Anything XL, 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.
【使用GPT4翻译】
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Discussion
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4 daysago
老婆！！！！
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5 daysago
哦，艹，又一张被9霸凌的感觉
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6 daysago
感谢大佬文中指导~辛苦炼丹~
2
a day ago
i love it!you are my hero!
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