Z-IMAGE

Using this Lora will generate a fixed 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 woman wearing a black lace corset bodice and , leaning sideways against a light wood-grain wall with her back to the camera. She holds an open black folding fan lightly with her right hand. Her dark brown long hair is styled in a low bun, with a few loose strands naturally falling around her neck, revealing a graceful neckline. The upper body is clad in a strapless black lace corset with subtle jacquard patterns and delicate lace trim along the edges; the lower body features a matching , connected at the back only by thin straps, accentuating the curves of her . Her legs are encased in black sheer pantyhose, with garter clips visible at the upper thighs. She wears black pointed-toe stiletto pumps with a glossy surface and slender heels. The overall styling emphasizes a visual tension of sensuality and elegance, with clothing tailored to the body, highlighting a full , narrow waist, and harmonious S-shaped silhouette of and legs.

Trigger word：NSFCCQP

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 models I uploaded, you can choose any one

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Use It on RunningHub

1. No extra nodes to install

2. Works seamlessly with 4090 (48G VRAM) and similar setups

3. 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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