Nodes Browser
ComfyDeploy: How ComfyUI_CustomNet works in ComfyUI?
What is ComfyUI_CustomNet?
you can using customnet in 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_CustomNet
and select it - Close the build step dialig and then click on the "Save" button to rebuild the machine
A CustomNet node for ComfyUI
A CustomNet node for ComfyUI
CustomNet: Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models. CustomNet From: CustomNet
Update
2024/08/11 --同步官方的内绘模型及代码,优化模型加载方式,现在模型跟常规的SD模型在一个地方,优化模型加载方式,
1.Installation
In the .\ComfyUI \ custom_node directory, run the following:
git clone https://github.com/smthemex/ComfyUI_CustomNet.git
2.requirements
每个人的环境不同,但是carvekit-colab是必须装的,是内置的脱底工具包,懒得去掉了,你可以先用其他sam节点处理物体图。首次运行,会安装carvekit-colab的模型文件,无梯子的注意。
need carvekit-colab==4.1.0
3 Download the model
3.1 normal:
下载customnet_v1.pth模型,并放在ComfyUI/models/checkpoints/目录下:
Download the weights of Customnet “customnet_v1.pth” and put it to “ComfyUI/models/checkpoints/” link
└── ComfyUI/models/checkpoints/
├── customnet_v1.pth
3.2 inpainting:
下载customnet_inpaint_v1.pt模型,并放在ComfyUI/models/checkpoints/目录下:
Download the weights of Customnet “customnet_inpaint_v1.pt” and put it to “ComfyUI/models/checkpoints/” link
└── ComfyUI/models/checkpoints/
├── customnet_inpaint_v1.pt
3.3 clip and carvekit:
首次使用会下载3个的模型文件,须连外网:,分别是
clip:文件目录一般在C:/User/你的用户名/.cache/clip/ViT-L-14.pt
carvekit的2个脱底模型:
目录C:/User/你的用户名/.cache/carvekit/checkpoints/fba/fba_matting.pth
目录C:/User/你的用户名/.cache/carvekit/checkpoints/tracer_b7/tracer_b7.pth
6 Tips
---白底的物体图得到最好的效果;
---底模训练就是256的,所以没法做大图,除非腾讯把大图的模型放出来。
---The object image with a white background achieves the best effect;
5 Example
normal 常规脱底置于提示测的背景前面,最新的演示; Latest Presentation
inpainting 内绘模型,最新的演示; Latest Presentation
polar 主体上下视角 既往的演示, Previous demonstrations
zaimuth 主体左右视角 既往的演示, Previous demonstrations
position X0 Y0 主体在背景中的位置 既往的演示, Previous demonstrations
6 Citation
@misc{yuan2023customnet,
title={CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models},
author={Ziyang Yuan and Mingdeng Cao and Xintao Wang and Zhongang Qi and Chun Yuan and Ying Shan},
year={2023},
eprint={2310.19784},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
}