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

1.Installation

1.1 In the .\ComfyUI \ custom_node directory, run the following:

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

use canny XL model or mistoline（anyline）

use inpainting XL model

txt2img use XL/sd1.5/XL turbo/background...

6 Citation

@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}
}