NSFW WAN2.2 T2V large breasts, curvy hips red backless halter mini dress black high heels
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Model description
Using this Lora will generate a fixed NSFW content！ 🎬✨
It's best to use wan's all in one model, named “wan2.2-raoid--mega-aio”, to get the best results.
If this model is not available, it is recommended to use my online platform for generation to achieve the best results.
Also Suitable for wan2.2 T2V 14B low-noise model This is a model based on a large amount of material with a specific style. It generates NSFW content.
A fair-skinned young Asian woman with long, straight black hair down to her waist, large eyes, and black-rimmed glasses. She has a slim figure, large breasts, a slender waist, curvy hips, and long legs. She is wearing a red backless halter mini dress that is form-fitting and extremely short, ending below the buttocks, revealing a red thong. Her private parts are only covered by thin strings. Black sheer stockings cover her legs up to the thighs, and she is wearing black patent leather high heels with a thin, long heel and a red sole. She is in a squatting position on the white marble floor of a modern hotel corridor, with her knees apart and her hands on her knees. The entire figure is captured from a rear-side view, with a background of wooden walls and soft lighting.
Trigger word：NSFHSHD
Model minimum weight 1.0 ，If it doesn't work, it's recommended to increase the LoRA model weight. 1.5, 2, or 2.5 are all acceptable.
The model sampling algorithm SD3 can also be increased appropriately.
This is based on WAN2.2 T2V low noise 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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No extra nodes to install
Works seamlessly with 4090 (48G VRAM) and similar setups
Pre-tuned parameters: start using it right away
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