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.
Two women stand in front of a wooden wall background. The woman on the left has short light brown hair, while the woman on the right has dark black braided updo. Both have smooth, even skin with a healthy warm wheat tone, slender and graceful figures with distinct curves and clear, upright chest contours. They both wear crystal bead chain embellished镂空 lingerie sets — the left one is a pink rhinestone-embellished butterfly pattern triangle top with matching thong, and the right one is a gold diamond mesh bikini top paired with low-rise chain shorts. Each holds a bathrobe with different patterns: the left is a red base with white plum blossom print Japanese bath towel, and the right is a black and white ink wash mountain and water motif wrap. They stand barefoot on a light gray geometric patterned carpet, without any shoes or stockings. Their legs are smooth and straight, showcasing excellent body proportion and posture aesthetics.
Trigger word：NSFMTSF
Model minimum weight 1.0 ，If it doesn't work, it's recommended to increase the LoRA model weight. 1.1, 1.2, or 2 are all acceptable.
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
Comfyui Free trial!!! 🎉
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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LoRA Online demo： 🔗click here
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