u-net分层融合的，主要是类3d效果，可以是人物，动物，衣服，各种形象，场景，背景，风景等等

例图风格种类比较丰富，大家可以看一看，也可以自然语言描述

该底膜主要是追求各种方面的泛化性，当然lora的泛化性也不错，

同时也感谢各位模型作者们有那么多好的模型，

建议高清放大，权重随意，提示词也随意，采样器随意

放大算法我常用4x-ultrasharp和8x_nmkd-superscale_150000_g

可以使用dynamic thresholding，或者直接cfg从低到高都可以尝试，有不同的小惊喜

vae记得用哈，不然画面比较灰，hires steps不建议0哈~~

The layered fusion of u-net mainly involves 3D like effects, which can include characters, animals, clothing, various images, scenes, backgrounds, landscapes, and so on

There are various styles in the sample images, which can be taken a look or described in natural language

The bottom film mainly pursues various aspects of generalization, and of course, Lora's generalization is also good,

Thank you also to the model authors for having so many good models,

Suggest high-definition amplification, with arbitrary weights, prompt words, and samplers

I often use 4x ultra sharp and 8x amplification algorithms_ Nmkd superscale_ 150000_ G

You can use dynamic thresholding or simply try cfg from low to high, with different small surprises

Vae, remember to use it, otherwise the screen will be gray. Hires steps do not recommend 0~~