More Sexy Latex Clothing for Z Image Turbo! If you like latex clothing. You should have a try!更性感乳胶服饰，为Z Image Turbo打造！如果你喜欢乳胶服饰，不妨一试！---This is the 6th Lora model I used to test the boundaries of Z Image Turbo. You can use it to generate beautiful girl with latex. It has been labeled and trained on 120 images.Supported: latex bikini, latex maid uniform, latex bunny uniform, latex dress, etcActually, the base model itself is good enough. But I want more sexy style. This lora can make latex clothing in a more sexy and instagram style.这是我用来测试Z Image Turbo极限的第6个Lora模型。你可以用它来生成穿着乳胶服装的美丽女孩。该模型已在120张图片上进行了标注和训练。支持：乳胶比基尼、乳胶女仆装、乳胶兔女郎装、乳胶连衣裙等。实际上，基础模型本身已经足够好了。但我想要更性感的风格。这个Lora可以让乳胶服装呈现出更性感、更符合Instagram风格的造型。---Weight recommendation is between 0.75-0.85权重推荐在 0.75-0.85 之间Trigger: adazlrSamples:adazlr, Beautiful young East Asian woman, fair skin, large blue-gray eyes, black straight hair with bangs, subtle blush, glossy lips, wearing latex shiny black micro bikini maid cosplay with white frills and headband, extremely voluptuous breasts, short white apron, black thigh-high stockings, sitting on bed in bedroom, soft lighting, alluring innocent expression, photorealistic.adazlr, with orange-red twin tails, tilts her head upward, gazing toward the upper left. She wears a sleek, glossy red and black latex bodysuit that highlights her form with sharp, liquid-like reflections. The suit stretches subtly at the shoulders and waist, accented by black panels and molded red details. Strong top and rim lighting create vivid contrasts on the glossy surface, while a soft blue-white gradient background keeps the focus on her dynamic pose and the suit’s futuristic shine.adazlr,美女，精致瓜子脸，棕色长发扎成高马尾，身材火辣，胸部丰满，腰细臀翘，穿着黑色乳胶兔女郎服，仅遮住乳头，带兔耳朵头饰，黑色渔网袜，高跟鞋，姿态跪坐在舞台边，双手叉腰，动作俏皮诱惑，场景在霓虹闪烁的夜总会，背景沙发和灯光，光影对比强烈，彩色聚光灯照射，皮肤光泽反射，焦距镜头50mm标准镜头adazlr, 美女，瓜子脸精致，大眼睛清澈明亮，长睫毛纤长，高鼻梁，嘴唇饱满如樱桃，皮肤白皙透亮，棕色长发盘成发髻，身材匀称优美，胸部丰满，腰肢纤细，臀部曲线玲珑，穿着黑色乳胶连体女仆装，带白色蕾丝围裙，黑色长筒袜，低跟皮鞋，姿态弯腰擦拭古董书架，动作专注细致，场景在古典书房，暖色调灯光，书架和书桌陈设，光影柔和，窗户透进自然光，皮肤细腻光泽，拍摄角度俯拍，焦距镜头35mm广角镜头

ZIT Instagram Latex Realistic

Almost rebuild the whole dataset. Better result in v2. Have a try!几乎重建了整个数据集。在v2版本中效果更好。试试看吧！

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