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ComfyDeploy: How ComfyUI_HiDiffusion_Pro works in ComfyUI?

What is ComfyUI_HiDiffusion_Pro?

A HiDiffusion node for ComfyUI.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for ComfyUI_HiDiffusion_Pro and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

ComfyUI_HiDiffusion_Pro

A HiDiffusion node for ComfyUI

HiDiffusion From: link

Update

09/08

  • adapter style now using single file.
  • adapter style改成单体文件模式

Previous updates *修复runwaybug / 去掉repo加载模型的方式 /自动选择模型的类别

  • 增加adapter_style支持,SDXL需求的显存较大,虽然能跑CPU,但是不推荐,会爆显存,SD1.5测试没问题。
  • 增加 manne加速Lora
  • 加入controlnet-tile-sdxl的支持,内置图片预处理,默认512尺寸,新增apply_window_attn 条件控制。
  • 修复节点连接逻辑,现在文生图模式,无需接入image,无controlnet也无需接入control_image
  • 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;

*fix runway error/del repo /auto choice model type

  • Adding adapter_style support, SDXL requires a large amount of graphics memory. Although it can run on CPU, it is not recommended as it may cause graphics memory " explosion". SD1.5 testing is not a problem.
  • add manne lighting lora
  • Added support for control net file sdxl, built-in image preprocessing, default size of 512, and added condition control for apply_window_attn.
  • Fix node connection logic, now in text-based graphics mode, there is no need to connect to image, no controllnet, and no need to connect to controll_image
  • Support acceleration Unet for SDXL lighting, Hyper, LCM, and DMD2. It is recommended to increase the number of steps appropriately;
  • Based on official updates, adding support for Lora requires filling in keywords;
  • Add skip and remove other parameters that are not significant;

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

diffusers >=0.28.0 #is best yaml

3 About models

3.1 base ckpt

├──comfyUI/models/checkpoints/   
|     ├──sd1.5 or sd2.1 or sdxl  or playground   
├──comfyUI/models/vae/   
|     ├──any vae fit ckpt 

3.2 if using SDXL controlnet

├──comfyUI/models/controlnet/   
|     ├──any SDXL controlnet

3.3 if using lighting Unet

├──comfyUI/models/unet/   
|     ├──any SDXL lighting  Unet 

3.4 if using adapter style

├── ComfyUI/models/photomaker
|         ├── ip-adapter_sd15.bin
|         ├── ip-adapter_sdxl.bin
├── ComfyUI/models/clip_vision
|             ├── sdxl_model.safetensors  # rename from   sd15/ncoder/model.safetensors
|             ├── sdm_model.safetensors  # rename from  sdxl/encoder/model.safetensors

4 example

new workflow example new

sd1.5 using ip_adapter_style 使用ip_adapter_style

img2img use lora 图生图和lora

img2img + controlnet 图生图加controlnet

img2img use Hyper unet 图生图加加速unet

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}
}