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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
- Click on the "Create a new machine" button
- Select the
Edit
build steps - Add a new step -> Custom Node
- Search for
ComfyUI_HiDiffusion_Pro
and select it - 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}
}