ComfyUI-LayerDivider

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ComfyUI LayerDivider

ComfyUI LayerDivider is custom nodes that generating layered psd files inside ComfyUI, original implement is mattyamonaca/layerdivider

image1 image2 https://github.com/jtydhr88/ComfyUI-LayerDivider/assets/860985/3ceb0638-1ed7-4e01-b231-03c4408c95e3

Environment

I tested the following environment, it might work on other environment, but I don't test:

Common

1. Windows 10/Ubuntu
2. GTX 3090
3. Cuda 12.1

Env 1 - see Method 1

1. ComfyUI embedded python (python 3.11) and ComfyUI Manager

Env 2 - see Method 2

1. conda
2. Python 3.11

Env 3 - see Method 3

1. conda
2. Python 3.11

Env 4 - see Method 4

1. Ubuntu
2. conda/Python 3.11
3. cuda 12.1

(Common) Installation - CUDA & cuDNN

This repo requires specific versions of CUDA and cuDNN to be installed locally:

• For CUDA, I only install and test CUDA 12.1, you can find it from https://developer.nvidia.com/cuda-12-1-0-download-archive
• For cuDNN, it MUST be v8.9.2 - CUDA 12.x (according to https://github.com/mdboom/pytoshop/issues/9), you can find it from https://developer.nvidia.com/rdp/cudnn-archive
• After install and unzip, make sure you configure the PATH of your system variable Path

(Common) Installation - Visual Studio Build Tools

It might also require Visual Studio Build Tools. However, I am not sure because my local already installed previously. If it needs, you can find from Visual Studio Build Tools.

(Method 1) Installation - ComfyUI Embedded Plugin & ComfyUI Manager

1. You could clone this repo inside comfyUI/custom_notes directly git clone https://github.com/jtydhr88/ComfyUI-LayerDivider.git
2. or use ComfyUI Manager manager
3. However, no matter which way you choose, it will fail at first time error
4. Stop ComfyUI
5. Then go to custom_nodes\ComfyUI-LayerDivider, and run install_windows_portable_win_py311_cu121.bat

Done!

(If you prefer to use conda and python 3.10, you could follow the next)

(Method 2) Installation - ComfyUI

You could use conda to manage and create the ComfyUI runtime environment:

• use cmd/terminal to enter the comfyui root folder (which includes run_cpu.bat and run_nvidia_gpu.bat)
• conda create --name comfy-py-310 python=3.10
• conda activate comfy-py-310
• pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu121
• pip install -r ComfyUI\requirements.txt

Then you can run python -s ComfyUI\main.py --windows-standalone-build to check ComfyUI running properly.

(Method 2) Installation - ComfyUI LayerDivider

Then we can clone and configure this repo for ComfyUI:

• cd ComfyUI\custom_nodes
• pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
• pip install Cython
• pip install pytoshop -I --no-cache-dir
• pip install psd-tools --no-deps
• git clone https://github.com/jtydhr88/ComfyUI-LayerDivider.git
• cd ComfyUI-LayerDivider
• pip install -r requirements.txt

Congratulation! You complete all installation!

(Method 3) Installation - ComfyUI LayerDivider

Assume you already have a conda python3.11 env

• activate your env
• go into this folder and run install_conda_win_py311_cu121.bat

Congratulation! You complete all installation!

(Method 4) Ubuntu Installation - ComfyUI LayerDivider

Assume you already have a python3.11 env + cuda 12.1

• clone this repo inside custom_nodes folder
• cd ComfyUI-LayerDivider/
• pip install -r requirements.txt

Then make sure run them one by one:

• pip install cython
• pip install pytoshop -I --no-cache-dir
• pip install psd_tools
• pip install onnxruntime-gpu==1.17.0 --extra-index-url https://aiinfra.pkgs