NSFW z-image turbo Sheer Blazer With Cropped Shirt And Patent Leather Mini Skirt
詳細
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モデル説明
Z-IMAGE
Using this Lora will generate a fixed NSFW content！ 🎬✨
This is suitable for the latest z-image turbo model.
If this model is not available, it is recommended to use my online platform for generation to achieve the best results.
This image depicts a young woman wearing a black and white office-style outfit. She has dark brown long straight hair with neat air bangs, her hair cascading naturally over her shoulders and back. Her face has a soft contour with regular facial features, a straight nose, and closed lips. Her body is slender and slim with a smooth waistline. She wears a white cropped collared shirt with a loose black tie hanging down at the front. Over it, she has a black semi-transparent thin blazer with wide sleeves and a short body. Her lower body is dressed in a black glossy patent leather zippered mini pencil skirt with a noticeable metal zipper detail on the front. Her legs are covered in black sheer pantyhose, revealing clear leg lines, and she wears white crew socks with black patent leather Mary Jane flats. She is standing with her body slightly leaning back, her hands pulling and adjusting the end of the tie in front of her abdomen. The background features a light turquoise decorative wall with vertical textures, a square recessed panel on the left side, and dark wooden flooring below.
Trigger word：NSFXSBW
Model minimum weight 1.0 ，If it doesn't work, it's recommended to increase the LoRA model weight. 1.1, 1.2
The model sampling algorithm SD3 can also be increased appropriately.
This is based on Z-IMAGE TURBO model training and is used first for low noise model， Different loras have different model weights and clip weights. Some lora adjustments may not work if not adjusted properly. It is recommended to search for my online model and lora adjustment to ensure that it can take full effect. Click the link below to experience it online
There are many NSFW models I uploaded, you can choose any one
🔗click here
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