ComfyUI_HiDiffusion_Pro

A HiDiffusion node for ComfyUI

HiDiffusion From: link

Update

增加Lora的参数调节，出点给了个空图像，免得多拉一个节点。
add lora_scale, and add a empty img to use txt2img.

My ComfyUI node list：

1、ParlerTTS node:ComfyUI_ParlerTTS
2、Llama3_8B node:ComfyUI_Llama3_8B
3、HiDiffusion node：ComfyUI_HiDiffusion_Pro
4、ID_Animator node： ComfyUI_ID_Animator
5、StoryDiffusion node：ComfyUI_StoryDiffusion
6、Pops node：ComfyUI_Pops
7、stable-audio-open-1.0 node ：ComfyUI_StableAudio_Open
8、GLM4 node：ComfyUI_ChatGLM_API
9、CustomNet node：ComfyUI_CustomNet
10、Pipeline_Tool node :ComfyUI_Pipeline_Tool
11、Pic2Story node :ComfyUI_Pic2Story
12、PBR_Maker node:ComfyUI_PBR_Maker

Notice（节点的特殊功能说明 Special Function Description of Nodes）

--优化了节点，现在只有采样器和模型加载2个节点，优化了模型加载流程；
--支持SDXL-lighting\Hyper\LCM\DMD2\的加速Unet，建议适当提高步数；
--基于官方的更新，加入lora支持，需要填关键词；
--加入skip，去掉意义不大的其他参数；
--支持所有的SDXL controlnet模型（须配置config文件）；
--你可以修改model.yaml文件，添加其他的可能支持“扩散模型”或者“controlnet”或者“unet”模型；
--所有节点都支持XL-lighting\Hyper\LCM\DMD2\ Unet加速，建议适当提高步数；
--支持大部分的基于SDXL的扩散模型.

--Optimized the nodes, now there are only two nodes: sampler and model loading, and the model loading process has been optimized;
--Supports acceleration Unet for SDXL lighting \ Hyper \ LCM \ DMD2 , it is recommended to increase the number of steps appropriately;
--Support Lora, keywords need to be filled in;
--Add skip and remove irrelevant parameters;
--Supports all SDXL controllnet models (requires configuration of config file);
--You can modify the model.yaml file and add other models that may support "diffusion models", "controllnet", or "unet";
--All nodes support XL lighting, Hyper, LCM, DMD2, Unet acceleration, it is recommended to increase the number of steps appropriately ;
--Supports most SDXL based diffusion models.

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
yaml

3 About models

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" 这样的标准抱脸的repo_id,系统会自己下载或者查找.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” 这样的已经下载好的扩散模型的绝对路径也能用

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

部分支持的模型请查看model.yaml 文件
For partially supported models, please refer to the model.yaml file

5 example

use controlnet and lora

use inpainting XL model

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

img2img use XL XL-flash or base XL

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}
}