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:<a target="_blank" rel="ugc" href="https://x.com/ekll01">@ekll01</a>My Twitter: <a target="_blank" rel="ugc" href="https://x.com/ekll01">@ekll01</a><a target="_blank" rel="ugc" href="https://discord.gg/eaSZVFnsHT">加入Discord Join Discord</a>版本说明请查看About this versionPlease see "About this version" for the version description.Positive Prompt：NO Quality tagsNegative Prompt：score_1, score_2, score_3, artist name请务必使用<a target="_blank" rel="ugc" href="https://civarchive.com/models/2673444/anima-llm-layerwise-fp8-fp32">animaLLMLayerwise</a>作为CLIP，而不是Qwen3_06BPlease make sure to use <a target="_blank" rel="ugc" href="https://civarchive.com/models/2673444/anima-llm-layerwise-fp8-fp32">animaLLMLayerwise</a> as CLIP, rather than Qwen3_06B.目前支持的年龄tag女性：bishoujo、mature lady男性：shxtx、bishounen、gentleman请您用以上tag代替1girl、1boy。Currently Supported Age TagsFor females: lxlx, mesugaki, bishoujo, lady, mature ladyFor males: shxtx, bishounen, gentlemanPlease use these tags instead of 1girl or 1boy.Recommended Settings（general）CFG: 5Steps: 30Sampling: euler a(更好的解剖结构)、dpmpp_2m_sde_gpu(更好的提示词遵从度？)Scheduler: simpleResolution: 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."

MatureRitual丨熟メス儀式 ANIMA

本次0.1版本为训练模型，采用600+图像强化年龄意识，980+图像重新学习人体比例。延续了test0.1.1的底模，但可能伴随结构解剖的下降。This 0.1 version is for training the model. It uses over 600 images to enhance age recognition and 980 images to re-learn human proportions.Continues the base model of test0.1.1,But there may also be a decline in structural anatomy.

Files with SHA256: a8950f0416f92be59eabcccad3dddd20af04802ecb846b9b7ccceebf93efc468