This ComfyUI workflow is designed to convert video footage into lineart or Canny edge representations, which are particularly useful for control processors in various applications. By leveraging specific nodes such as the LineArtPreprocessor and VHS_LoadVideo, the workflow efficiently processes each frame of a video to extract its lineart features. The VHS_VideoCombine and VHS_VideoInfo nodes are utilized to manage video data and ensure seamless integration of processed frames back into a cohesive video format. This technique is especially useful for enhancing video content with stylized effects or for preparing data for further processing in machine learning models that require simplified visual inputs.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
GET https://comfy.org/workflows/download/aa1e24da3f2b.jsonFetching workflow JSON…
Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
# Install (beta)
pip install comfy-sdk # Python
npm i @comfyorg/sdk # TypeScript
# Run "Video to Lineart / Canny" (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
# This workflow, exported in API format (see note below)
wf = client.workflows.from_file("utility-lineart-video_api.json")
job = client.run(wf)
for output in job.get_outputs("3"): # VHS_VideoCombine
output.to_file(output.name)The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key
FAQ
