# ComfyUI_HiDiffusion_Pro
A  HiDiffusion node for ComfyUI

Update
-----
2025-05-21 update   
--增加了对anyline（基于mistuline模型）和controlnet 线稿类的canny支持，增加了openposeXL模型的支持（须搭配controlnet openpose）   
--增加了模型输入节点，该节点的菜单用于已下载的本地模型，repo_id更方便，但需要网络支持
--所有节点都支持XL-lighting\Hyper\LCM Unet加速，但是低步数的效果一般

--Added Canny support for Anyline (based on the pipeline model) and Controlnet draft classes, and added support for Openpose XL model (to be paired with Controlnet Openpose)   
--Added a model input node, whose menu is used for downloaded local models. Repo_id is more convenient, but requires network support   
--All nodes support XL lighting \ Hyper \ LCM Unet acceleration, but the effect of low steps is average   


NOTICE
----
注意，如果使用本地下载的模型，注意要配套config文件，以及有些模型是需要bin模型，或者模型名称要一样，注意看报错信息提示缺失什么模型。  使用openpose的大模型会预下载VAE模型，无梯子的注意这里会报错。  

HiDiffusion  From: [link](https://github.com/megvii-research/HiDiffusion)  
----

1.Installation
-----
  1.1 In the .\ComfyUI \ custom_node directory, run the following:   
  
  ``` python 
  git clone https://github.com/smthemex/ComfyUI_HiDiffusion_Pro.git   
  ```
  1.2 using it
  
2.requirements  
----
need diffusers >=0.27.0


3 Download the model 
----
  3种调用模型节点的方法   
  一种是,在repo_id填写诸如"stabilityai/stable-diffusion-xl-base-1.0" 这样的id,系统自己下载或者查找.cache路径，这个要开全局外网或者你开启了hf镜像  
  
  一种是，把你下载好的模型放在comfyUI的"models/diffusers"路径下，记得不要改最尾的模型路径名“比如stable-diffusion-xl-base-1.0”，就可以用菜单直接调用。（注意：要用菜单的方式，必须删掉repo_id默认的"stabilityai/stable-diffusion-xl-base-1.0"，让repo_id留空，controlnet_id一样，要调用菜单，必须留空controlnet_id） 
  
  一种是，你在repo_id或controlnet_id直接填写诸如“x:/xx/xx/stabilityai/stable-diffusion-xl-base-1.0” 这样的绝对路径也能用
  
  Three methods for calling model nodes   
  Filling in the corresponding repo_id will download the model   
  or   
  in the diffuse directory, store and use the downloaded model  （Notice:in this method,repo_id or controlnet_repo_id must be empty）  
  or  
  using repo_id,and Fill in the absolute path of your diffusers model,using"/"   

4 other
----
可用的模型可用加载默认的工作流文件，查看其注释  
Supported models can refer to the comments in the example JSON file  

5 example
-----
use openpose XL model    
![](https://github.com/smthemex/ComfyUI_HiDiffusion_Pro/blob/main/example/openposeXL.png)


use canny XL model or mistoline（anyline）   
![](https://github.com/smthemex/ComfyUI_HiDiffusion_Pro/blob/main/example/example%20anyline.png)
![](https://github.com/smthemex/ComfyUI_HiDiffusion_Pro/blob/main/example/example%20artline.png)
![](https://github.com/smthemex/ComfyUI_HiDiffusion_Pro/blob/main/example/example%20canny.png)


use inpainting XL model  
![](https://github.com/smthemex/ComfyUI_HiDiffusion_Pro/blob/main/example/inpainting.png)

txt2img  use XL/sd1.5/XL turbo/background...   
![](https://github.com/smthemex/ComfyUI_HiDiffusion_Pro/blob/main/example/txt2img.png)
 

6 Citation
------

``` python  
@article{zhang2023hidiffusion,
  title={HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models},
  author={Zhang, Shen and Chen, Zhaowei and Zhao, Zhenyu and Chen, Yuhao and Tang, Yao and Liang, Jiajun},
  journal={arXiv preprint arXiv:2311.17528},
  year={2023}
}