Hyper futanari (NOOB and Pony Version)
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关于此版本
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模型描述
NOOB V-PRED V2
基于 NOOB V-PRED 1.0 使用 Kohya SS 训练。有关此版本的训练详情请参见说明。数据集已更新,触发词已更改。
V2 的主要升级在于调整训练参数和数据集后,对多角色跨性别场景的理解能力提升,以及对微调检查点和多 LoRA 兼容性的增强。但仍需一些尝试才能获得理想生成效果。
NOOB V-PRED V1
基于 NOOB V-PRED 1.0 使用 OneTrainer 训练。有关此版本的训练详情请参见说明。数据集已更新,触发词已更改。
此次更新的原因是:当我同时使用多个 LoRA 时,即使将巨茎权重提升至 2,仍无法达到预期效果。我认为这个 LoRA 能够解决多 LoRA 并用时巨茎生成的问题。经过测试,效果良好。
关于 PonyXL V2.0
通过使用正则化技术并更新数据集,使模型对艺术风格影响更小,生殖器形状更自然。同时提升了与其他 LoRA 联用时的效果。我选择了一个烘焙程度较低的 LoRA 以实现更佳的交互性,但缺点是某些场景下需要提高生殖器权重。
新增“马形阴茎”作为阴茎类型选项。
关于 PonyXL
使用 PonyXL 训练此模型。更新数据集以获得更好的性能。进一步强化了 PonyXL 及相关模型中的该概念。
新增概念:gigantic_dark
关于 V3.0
本版本更新了数据集,并引入多分辨率(multires)技术。结合质量标签(如 masterpiece、highly_detailed、best_quality 等)可带来更强的光影效果。
请注意:这可能会影响生成结果。 若使用这些标签且权重过高,可能导致结果混乱。
多分辨率技术参数如下:
multires_noise_iterations="6"
multires_noise_discount=0.3
重要提示:目前我已将触发词设置为 gigantic_penis 和 gigantic_penis_ejaculation。
关于 V2.0
在 V2.0 中,我移除了所有带黑色遮挡条的图片,并重新训练该 LoCon。这有助于获得更佳的结果。烦人的遮挡条将不再出现。
我将批量大小(batch size)设为 2 以加速训练。最终效果良好。
简介
此 LyCORIS 用于生成巨茎跨性别角色。若用于长图(如 1024×768),可生成极长的阴茎。你可能会发现面部模糊,但可通过修复绘制(inpaint)或图生图(img to img)进行修复。叠加超现实跨性别风格 LyCORIS 可提升阴茎纹理质量。
使用方法
建议使用权重 0.75–0.85。与其他 LoRA 联用时较难控制,但经过多次尝试后可获得理想结果。
单独使用时,较低权重也可能获得良好效果。不过仍需要更多测试验证。
训练详情:
训练集约为 145 张图像。训练前已进行镜像处理。其中一半用作正则化图像。总训练步数约为 8800 步。
Regularization = true
resolution=512
batch_size=2
epoch=10
network_dim=32
network_alpha=32
clip_skip=2
使用 AdamW8bits 作为优化器:
lr="1e-4"
unet_lr="1e-4"
text_encoder_lr="1e-5"
LoCon 参数:
conv_dim=4
conv_alpha=4










