NSFW WAN2.2 2V Fantasy Elven Goddess Outfit – Sheer Halter Bodysuit With Binding Ribbons
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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 character with the features of an elf, possessing golden long hair and pointed ears, wearing a green plant wreath on her head. Her skin is fair and smooth, and her figure is tall and well-proportioned with a full bust. She wears a white, semi-transparent halter-neck top, with a wide, dark brown decorative ribbon hanging down the center of her back to her hips. The lower body has no pants design; instead, a decorative slit structure is formed by the same type of ribbon wrapped around the waist and the upper thighs, leaving the legs exposed. She wears black wrap-around gladiator sandals, with her ankles up to the front of her calves tightly wrapped and secured by multiple layers of crossed thin leather cords. The background is a pure white European classical interior, complete with lace curtains and carved railings.
Trigger word：NSFBSJL
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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