Skin texture adjusting functional filter assist lora

This is a skin texture adjuster lora.

Using the Text-to-Image mode with ControlNet, add skin lora adjustment parameters to output images.

Using the Image-to-Image mode to import local images, add skin lora adjustment parameters to output images.

For online images, maintaining the same seed number, add skin lora adjustment parameters to output images.

Effects: Enhance skin texture, increase texture, transition light sources, provide a soft white beauty filter, and balance adjustments for the overall picture.

Application: Suitable for portrait retouching, medical aesthetics, female advertising visual enhancement, etc.

Note: Keeping people, scenes, and overall settings unchanged, only adjusting the skin without affecting other aspects.

Recommended lora weight:

Weight between 0.8 and 1

Recommended steps: 20-30

It is recommended to enable XL refiner& Tiled VAE

Recommended sampling methods: Euler a, DPM++ 2M Karras, DPM++ SDE Karras

Recommended high-definition restoration settings: R-ESRGAN 4x+, DPM++ 2S a Karras 8x-NMKD-Superscale ESRGAN_4x Redraw range 0.1-0.3

Recommended model: SDXL Official Version

<Model Usage Disclaimer>

1. You may not host this model and its derivative versions (such as fused model versions) on websites or applications intended to generate revenue or donations. If you need to use this model and its derivative versions for commercial purposes (such as generative services, selling images, publishing articles featuring images on short video platforms or publications, etc.), please contact me through the website;

2. You may not directly sell images generated by this model unless you have sufficiently modified the image to an extent that it can be legally determined as your personal work. Any legal consequences resulting from your violation of this clause are your personal responsibility, and I will not be liable;

3. For purchases or other uses, please contact me directly for details, QQ: 1244473264 (please add a note of your purpose);

4. If needed, future optimizations for the lora version will be updated;