Ever since Krea 2 came out, my initial goal was to train a concept based on pseudohermaphroditism—where the penis functions conceptually as an enlarged, abnormal clitoris. That failed completely due to base model biases.I then pivoted to the established visual archetype: a male penis positioned directly above the clitoris and urethral zone. After extensive dataset curation and multiple training iterations, I achieved a stable morph. You simply describe the character wrapping around the trigger:<code>futanoballs character with a beautiful female body, large breasts, caucasian, long brown hair...</code> (specify whichever character features you need).While the morphology itself was locked down using a curated 120-image dataset (including vaginal, anal, and fisting penetration) with clean, non-redundant tagging describing explicit heterosexual interactions (e.g., <code>futanoballs receiving heterosexual vaginal sex, male partner with erect penis standing behind...</code>), a fundamental bottleneck remains:DiT architectures like Krea 2 have rigid binary priors. The base model treats a vagina as strictly female, and a penis as strictly male—it conceptually resists rendering a functional vagina directly beneath an erect penis during penetration.If anyone succeeds in training a LoRA that achieves full, stable vaginal penetration for this morphology, please release it for free public use, just as I am providing this baseline model. If you run into compute or hardware bottlenecks, feel free to share your curated dataset—I will handle the training runs locally on my RTX 5090 rig. We will release the final model under joint co-authorship. Идрить-колотить как я намучался с этой ЛоРА. :) Всё для народа !!!(中文说明 / Chinese Description)自从 Krea 2 发布以来，我最初的目标是尝试训练一种偏向“假两性畸形”的形态（即将阴茎视为异常增大的阴蒂），但由于底模先验偏差，彻底失败了。随后我转向了目前 AI 图像中最普遍的经典架构：将男性阴茎置于阴蒂与尿道口的正上方。经过长时间的数据集整理和多次训练迭代，我成功锁定了高度稳定的形态转换。在提示词中直接将触发词与常规角色特征结合即可： <code>futanoballs character with a beautiful female body, large breasts, caucasian, long brown hair...</code>（即自由描述你想生成的 futanoballs 角色外观）。尽管我通过包含阴道插入、肛交和拳交的 120 张高质量图集，以及极其严谨的交互语义打标（如描述为“futanoballs 正在接受异性阴道性交，勃起的男性伴侣站在其身后”等精简标签，避免冗长词堆叠），成功稳定了外观，但最核心的硬伤依然存在： 像 Krea 2 这样的 DiT 架构存在极强的底层二元认知偏差。 模型在底层逻辑上固执地认为：有阴道即为女性，有阴茎即为男性，它在空间拓扑上极难理解并渲染“在自身阴茎的正下方同时容纳外部阴茎进行阴道插入”。如果您能在此基础上成功训练出具备完整、稳定阴道穿透/插入功能的 LoRA，请像我开源本模型一样免费发布给社区共享。如果您在算力和硬件资源上遇到瓶颈，您可以将整理好的数据集提供给我，我将使用本地 RTX 5090 算力协助完成二次训练，最终成果以共同作者（Co-authors）的形式发布。 Disclaimer: All characters depicted are entirely fictional and 18 years of age or older. All events and scenarios are completely works of fiction.免责声明：本模型中描绘的所有角色均为虚构，且年龄均已年满18周岁（成年）。所有事件及场景纯属虚构。

futanoballs

TRIGGER: futanobаlls Dataset: 120 diverse high-resolution images, completely manual tagging without AI auto-taggers Training Steps: 4.800 Network Rank (Dim): 32 Learning Rate: 0.0001 Text Encoder Trained: True (DiT + TE) Trainer: Ostris AI-Toolkit Hardware: NVIDIA GeForce RTX 5090 / Intel Core Ultra 9 285K / 96GB DDR5

Files with SHA256: 5f9845303fd93a2e837d9c155cf4dfe53053d2d39bdfe4a47276f0c445ca9ffe