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Documentation

Installation

See README for basic ways to install.

You can use the following command to install ComfyScript with the latest commit that may has not been released to PyPI yet:

python -m pip install "comfy-script[default] @ git+https://github.com/Chaoses-Ib/ComfyScript.git"

Only ComfyScript package

Install/update:

python -m pip install -U "comfy-script[default]"

Some features will be unavaliable when only ComfyScript is installed, e.g. real mode runtime, standalone virtual mode runtime.

Only nodes with ComfyUI

Install ComfyUI first. And then:

cd ComfyUI/custom_nodes
git clone https://github.com/Chaoses-Ib/ComfyScript.git
cd ComfyScript
python -m pip install -r requirements.txt

Update:

cd ComfyUI/custom_nodes/ComfyScript
git pull
python -m pip install -r requirements.txt

If you want, you can still import the package with a hardcoded path:

import sys
# Or just '../src' if used in the examples directory
sys.path.insert(0, r'D:\...\ComfyUI\custom_nodes\ComfyScript\src')

import comfy_script

Troubleshooting

ERROR: File "setup.py" or "setup.cfg" not found

Run python -m pip install -U pip to update pip.

ModuleNotFoundError: No module named 'hatchling'

Run python -m pip install hatchling . See #41 for details.

ModuleNotFoundError: No module named 'editables'

Run python -m pip install editables . See #41 for details.

ModuleNotFoundError: No module named 'comfy_extras.nodes_model_merging'

Installing ComfyUI package in the same venv used by official ComfyUI will break the official ComfyUI. Uninstalling ComfyUI package by python -m pip uninstall comfyui can fix this problem. See ComfyUI#3702 for details.

Uninstallation

python -m pip uninstall comfy-script

And delete the ComfyScript directory if you have cloned it to ComfyUI/custom_nodes.

Workflow information retrieval

It is possible to retrieve any wanted information by running the script with some stubs. For example, to get all positive prompt texts, one can define:

positive_prompts = []

def CLIPTextEncode(text, clip):
    return text

def KSampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise):
    positive_prompts.append(positive)

And use exec() to run the script (stubs for other nodes can be automatically generated). This way, Reroute, PrimitiveNode, and other special nodes won't be a problem stopping one from getting the information.

It is also possible to generate a JSON by this. However, since JSON can only contain tree data and the workflow is a DAG, some information will have to be discarded, or the input have to be replicated at many positions.