NSFW WAN2.2 T2V black lace bra, black lace garters red soles Black stockings
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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.
An Asian woman wearing a black chain-strap jacket, her long straight black hair falls naturally over her shoulders. She has soft facial features, delicate features, large and round eyes, and full lips. She has fair and smooth skin, a slender yet curvaceous figure, full and perky breasts, a slim waist, and round, perky buttocks. Her lower body is exposed, with a smooth pubic area. She wears a black lace bra, with chain straps extending from her shoulders to her chest. Black lace garter belts hold up black stockings that wrap her long, well-proportioned legs. On her feet, she wears black patent leather stiletto heels with slender, sharp, approximately 10cm-high heels and bright red soles.
Trigger word：NSFXGHH
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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Use It on RunningHub
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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Generate hundreds of videos in the following way:
No need to download various nodes or adjust various complex parameters
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