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    我们需要真正理解女性年龄的模型而不是只能生成萝莉!

    We need a model that truly understands female age, not one that only generates "loli"!

    所以这是一个旨在生成成熟女性并且试图理解多样的女性年龄,而不是只能生成小孩、女孩、萝莉的模型。

    Therefore, this is a model designed to generate mature female and attempts to understand the diverse ages of women, rather than only generating "children, girls, or loli."

    我的推特:@ekll01

    My Twitter: @ekll01

    Join Discord

    主流illustrious VS MatureRitual-1.3

    mainstream illustrious VS MatureRitual-1.3

    MatureRitual全版本对比

    MatureRitual All-Version Comparison

    版本说明请查看About this version

    Please see "About this version" for the version description.

    需要ADetailer

    Requires ADetailer.

    Recommended Settings(general)

    CFG: 5-7

    Steps: 20

    Sampling: Euler a

    Scheduler: normal

    Resolution: 832*1216 above

    希望喜欢这个模型的朋友能够量力为模型进行一下Bid投资。这不是请求,但是如果有人能够帮助模型进行Bid,我会十分感谢!

    I hope that friends who like this model can consider making a "Bid" investment in the model according to their ability. This is not a request, but I would be very grateful if someone could help the model with a "Bid."

    Description

    v2.0将基础模型切换为我的新模型“Veriwarp”。此版本需要完全不同的使用方式。所以请务必阅读模型说明和生成设置,或者直接使用例图中的工作流。

    v2.0 switches the base model to my new model, "Veriwarp." This version requires a completely different approach, so please be sure to read the model description and generation settings, or use the workflow from the sample images directly.

    与v1.3相比

    优点:更灵活的年龄tag,更好的提示词遵从度,更明显的画风还原度。

    代价:偶尔更差的肢体

    Compared to v1.3

    Pros: More flexible age tags, better prompt adherence, and more distinct art style reproduction.

    Trade-off: Occasionally poorer anatomy.

    目前支持的年龄tag

    女性:lxlx、mesugaki、bishoujo、lady、mature lady

    男性:shxtx、bishounen、gentleman

    请您用以上tag代替1girl、1boy。

    (请注意年龄tag仍不稳定,角色年龄可能会随着提示词的变化而改变,如果发生影响可以加重年龄tag的权重,已对此进行优化)

    Currently Supported Age Tags

    For females: lxlx, mesugaki, bishoujo, lady, mature lady

    For males: shxtx, bishounen, gentleman

    Please use these tags instead of 1girl or 1boy.

    (Note: The age tags are still unstable, and the character's age may change with different prompts. If this becomes an issue, you can increase the weight of the age tag. Optimizations have been made to address this.)

    正面提示词中不要填写任何质量tag,例如“masterpiece、best quality、highres、absurdres、newest、 very aesthetic、4k、8k、HDR”等等都不需要。

    负面提示词:"masterpiece,best quality,worst quality,low quality,watermark"。

    是的,您没有看错,这并不是写错了,还请在负面提示词中填写以上tag。

    关于外貌穿着类提示词:请尽量不要同时使用含义重复的的tag。例如dress、long dress、blue dress、frilled dress,请直接写成blue frilled long dress。

    Positive Prompts

    Do not use any quality tags in the positive prompt, such as "masterpiece, best quality, highres, absurdres, newest, very aesthetic, 4k, 8k, HDR," etc. None of these are needed.

    Negative Prompts

    "masterpiece, best quality, worst quality, low quality, watermark"

    Yes, you are reading this correctly. This is not a mistake. Please include the tags above in your negative prompt.

    Regarding Prompts for Appearance and Clothing

    Please avoid using tags with overlapping meanings. For example, instead of dress, long dress, blue dress, frilled dress, combine them directly into blue frilled long dress.

    生图分辨率

    分辨率应介于1024*1024(总像素1,048,576)-1536*1536(总像素2,359,296)之间的任意尺寸。

    低于1024*1024(总像素1,048,576)通常会使图像变差,高于1536*1536(总像素2,359,296)不会让图像产生质变。

    个人经常使用960*1344/1096*1536。还请您根据图片复杂度进行调整,并不是越大越好。

    Generation Resolution

    The resolution should be any size between 1024x1024 (1,048,576 total pixels) and 1536x1536 (2,359,296 total pixels).

    Resolutions below 1024x1024 generally result in a poorer image, while resolutions above 1536x1536 will not yield a qualitative improvement.

    I often use 960x1344 or 1096x1536. Please adjust according to the image complexity, as bigger is not always better.

    采样器与调度器

    er sde/kl optimal,如果您不清楚这是什么还请进行尝试!

    CFG:4~6都可以正常工作。

    步数:30~40步是一个通常的设置。

    Sampler and Scheduler

    er sde / kl optimal is recommended, if you are unfamiliar with these, please experiment with them!

    CFG Scale

    A range of 4 to 6 works well.

    Steps

    A typical setting is 30-40 steps.

    Checkpoint
    Illustrious
    by EKLL

    Details

    Downloads
    844
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/6/2025
    Updated
    11/13/2025
    Deleted
    -

    Files

    matureRitual_v20beta.safetensors

    Mirrors

    Available On (28 platforms)

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