The Kling O3: Video Edit workflow is designed to provide a seamless video editing experience by integrating advanced AI capabilities. This workflow allows users to upload a video and a reference image, leveraging the Kling O3 model to perform precise subject editing and scene composition. The workflow is structured around several key nodes: LoadVideo, LoadImage, and KlingOmniProEditVideoNode. The LoadVideo node is responsible for importing the video file, while the LoadImage node allows users to input a reference image that guides the editing process. The KlingOmniProEditVideoNode is the core of this workflow, utilizing the Kling O3 model to apply sophisticated edits that ensure both visual coherence and audio-visual synchronization are maintained throughout the video.
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/730d964da0cc.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 "Kling O3: Video Edit" (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("api_kling_o3_video_edit_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("17", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("14"): # SaveVideo
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
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